From c74f0b46831ebfe0efbfbb18c9d0bb87903147d6 Mon Sep 17 00:00:00 2001 From: Gantigmaa Selenge Date: Fri, 23 Jun 2023 12:57:01 +0100 Subject: [PATCH 01/15] Intoducing the new KafkaRoller that only supports KRaft mode Signed-off-by: Gantigmaa Selenge --- 06x-new-kafka-roller.md | 210 ++++++++++++++++++++++++++++++++++++++++ 1 file changed, 210 insertions(+) create mode 100644 06x-new-kafka-roller.md diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md new file mode 100644 index 00000000..46260447 --- /dev/null +++ b/06x-new-kafka-roller.md @@ -0,0 +1,210 @@ +# Kafka Roller 2.0 + +## Current situation + +The Kafka Roller is a Cluster Operator component that's responsible for rolling Kafka pods when: +- non-dynamic reconfigurations needs to be applied +- update in Kafka CRD is detected +- a certificate is renewed +- pods have been manually annotated by the user for controlled restarts +- pod is stuck and is out of date +- Kafka broker is unresponsive to Kafka Admin connections + +These are not the exhaustive list of possible triggers for rolling Kafka pods, but the main ones to highlight. + +A pod is considered stuck if it is in one of following states: +- `CrashLoopBackOff` +- `ImagePullBackOff` +- `ContainerCreating` +- `Pending` and `Unschedulable` + +### Known Issues + +The existing KafkaRoller has been suffering from the following shortcomings: +- While it is safe and simple to restart one broker at a time, it is slow in large clusters. +- It doesn’t worry about partition preferred leadership +- Hard to reason about when things go wrong. The code is complex to understand and it's not easy to determine why a pod was restarted from logs that tend to be noisy. +- Potential race condition between Cruise Control rebalance and KafkaRoller that could cause partitions under minimum in sync replica. This issue is described in more detail in the `Future Improvements` section. +- The current code for KafkaRoller does not easily allow growth and adding new functionality due to its complexity. + + +The following non-trivial fixes and changes are missing from the current KafkaRoller's KRaft implementation: +- Currently KafkaRoller has to connect to brokers successfully in order to get KRaft quorum information and determine whether a controller node can be restarted. This is because it was not possible to directly talk to KRaft controllers at the time before [KIP 919](https://cwiki.apache.org/confluence/display/KAFKA/KIP-919%3A+Allow+AdminClient+to+Talk+Directly+with+the+KRaft+Controller+Quorum+and+add+Controller+Registration) was implemented. + +- KafkaRoller takes a long time to reconcile combined nodes if they are all in `Pending` state. This is because the combined node does not become ready until the quorum is formed and KafkaRoller waits for a pod to become ready before it attempts to restart other nodes. In order for the quorum to form, at least the majority of controller nodes need to be running at the same time. This is not easy to solve in the current KafkaRoller without introducing some major changes because it processes each node individually and there is no mechanism to restart multiple nodes in parallel. More information can be found [here](https://github.com/strimzi/strimzi-kafka-operator/issues/9426). + +- The quorum health check is based on the `controller.quorum.fetch.timeout.ms` configuration which it reads from the desired configurations passed from the Reconciler. However, `CAReconcilor` and manual rolling update pass null value for desired configurations because in both cases, the nodes don't need reconfigurations. This results in performing the quorum healthcheck based on the hard-coded default value of `controller.quorum.fetch.timeout.ms` rather than the accurate configuration value when doing manual rolling update and rolling nodes for certificate renewal. + +- The current roller's quorum health will be broken once we have scaling supported via [KIP-853](https://cwiki.apache.org/confluence/display/KAFKA/KIP-853%3A+KRaft+Controller+Membership+Changes). KafkaRoller relies on the response from `describeQuorum` API to get the total number of configured controllers. During scale down, the nodes could return inconsistent number of controllers in their responses until all nodes are updated with the correct configuration. This could result in quorum healthcheck not passing therefore not able to restart nodes. + +- KafkaRoller cannot transition nodes from controller only role to combined role. This is because the KRaft controller identifies the role of the node by `NodeRef` object which contains the desired role for the node rather than the currently assigned role. The current roller would have to be updated with a new mechanism to get the currently assigned role. More information can be found here [here](https://github.com/strimzi/strimzi-kafka-operator/issues/9434). + + +## Motivation + +Strimzi users have been reporting some of the issues mentioned above and would benefit from a new KafkaRoller that is designed to address the shortcomings of the current KafkaRoller. + +The current KafkaRoller has complex and nested conditions therefore makes it challenging for users to debug and understand actions taken on their brokers when things go wrong and configure it correctly for their use cases. A new KafkaRoller that is redesigned to be simpler would help users to easily understand the code and configure it to their needs. + +As you can see above, the current KafkaRoller still needs various changes and potentially more as we get more experience with KRaft and discover more issues. Adding these non trivial changes to a component that is very complex and hard to reason, is expensive and poses potential risks of introducing bugs because of tightly coupled logics andlack of testability. + +## Proposal + +The objective of this proposal is to introduce a new KafkaRoller with simplified logic therefore more testable, and has structured design resembling a finite state machine. KafkaRoller desisions can become more accurate and better informed by observations coming from different sources (e.g. Kubernetes API, KafkaAgent, Kafka Admin API). These sources will be abstracted so that KafkaRoller is not dependent on their specifics as long as it's getting the information it needs. This will enable the KafkaRoller to run even if the underlying platform is different, for example, not Kubernetes. + +Depending on the observed states, the roller will perform specific actions, causing each node's state to transition to another state based on the corresponding action. This iterative process continues until each node's state aligns with the desired state. + +It will also introduce an algorithm that can restart brokers in parallel while applying safety conditions that can guarantee Kafka producer availability and causing minimal impact on controllers and overall stability of clusters. + +0. The following can be the configured for the new KafkaRoller: + +| Configuration | Default value | Exposed to user | Description | +| :-------------| :-------------| :---------------| :---------- | +| maxRestartAttempts | 3 | No | The maximum number of times we attempt to restart a broker before failing the reconciliation. This is checked against `numRestarts` in the `ServerContext`.| +| maxReconfigAttempts | 3 | No | The maximum number of times we attempt to reconfigure a broker before restarting it. | +| postRestartTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for brokers to transition to `SERVING` state after a restart. This will be based on the operational timeout that is already exposed to the user. | +| postReconfigureTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for brokers to transition to `SERVING` state after a reconfiguration. +| maxBatchSize | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. | + +1. When a new reconciliation starts up, `ServerContext` is created for each broker. + ``` + ServerContext { + nodeId: int + nodeRole: String + state: ServerState + reason: String + numRestarts: int + lastTransitionTime: long + } + ``` + + - nodeId: Node ID. + - nodeRoles: Process roles of this node (e.g. controller, broker). This will be set using the pod labels `strimzi.io/controller-role` and `strimzi.io/broker-role` because these are currently assigned roles of the node. + - state: It contains the current state of the node based on information collected from the abstracted sources. The table below describes the possible states. + - reason: It is updated based on the current predicate logic from the Reconciler. For example, an update in the Kafka CR is detected. + - numRestarts: The value is incremented each time the node has been attempted to restart. + - numReconfigs: The value is incremented each time the node has been attempted to reconfigure. + - lastTransitionTime: System.currentTimeMillis of last observed state transition. + + States + | State | Description | + | :-------------------- | :---------- | + | UNKNOWN | The initial state when creating `ServerContext` for a node. We expect to transition from this state fairly quickly after creating the context for nodes. | + | NOT_RUNNING | Node is not running (Kafka process is not running) | + | NOT_READY | Node is running but not ready to serve requests (broker state < 2 OR == 127) | + | RESTARTED | After successful `kubectl delete pod`. | + | RECONFIGURED | After successful Kafka node config update via Admin client. | + | RECOVERING | Node has started but is in log recovery (broker state == 2). | + | SERVING | Node is in running state and ready to serve requests (broker state >= 3 AND != 127). | + | LEADING_ALL_PREFERRED | Node is in running state and leading all preferred replicas. | + +2. The existing predicate function will be called for each of the nodes and those for which the function returns a non-empty list of reasons will be restarted. + +2. Group the nodes into four categories: + - `RESTART_FIRST` - Nodes that have `NOT_READY` or `NOT_RUNNING` state in their contexts. The group will also include nodes that + we cannot connect to via Admin API. + - `RESTART` - Nodes that have non-empty list of reasons from the predicate function and have not been restarted yet (ServerContext.numRestarts == 0). + - `MAYBE_RECONFIGURE` - Nodes that have empty list of reasons and have not been reconfigured yet (ServerContext.numReconfigs == 0). + - `NOP` - Nodes that have been restarted or reconfigured at least once (ServerContext.numRestarts > 0 || ServerContext.numReconfigs > 0 ) and have either + `LEADING_ALL_PREFERRED` or `SERVING` state. Also nodes that have `RECOVERING` state. + + +3. Restart nodes in `RESTART_FIRST` category either one by one in the following order unless all nodes are combined +and are in `NOT_RUNNING` state: + - Pure controller nodes + - Combined nodes. + - Broker only nodes + + If all controllers are combined and are in `NOT_RUNNING` state, restart all nodes in parallel and wait for them to have `SERVING`. Explained more in detail below. + + Wait until the restarted node to have `SERVING` and then `LEADING_ALL_PREFERRED` state within `postReconfigureTimeoutMs`. + +4. Further refine the nodes in `MAYBE_RECONFIGURE` category: + - Describe Kafka configurations for each node via Admin API and compare them against the desired configurations. This is essentially the same mechanism we use today for the current KafkaRoller. + - If a node has configuration changes and they can be dynamically updated, add the node into another group called `RECONFIGURE`. + - If a node has configuration changes but they cannot be dynamically updated, add nodes into the `RESTART` group. + - If a node has no configuration changes, put the node into the `NOP` group. + +5. Reconfigure each node in `RECONFIGURE` group: + - If `numReconfigs` of a node is greater than the configured `maxReconfigAttempts`, add a restart reason to its context. Otherwise continue. + - Send `incrementalAlterConfig` request with its config updates. + - Transitions the node's state to `RECONFIGURED` and increment its `numReconfigs`. + - Wait for each node that got configurations updated until they have `SERVING` and then `LEADING_ALL_PREFERRED` state within `postReconfigureTimeoutMs`. + +6. If at this point, the `RESTART` group is empty, the reconciliation will be completed successfully. + +7. Otherwise, batch nodes in `RESTART` group and get the next batch to restart: + - Further categorize nodes based on their roles so that the following restart order can be enforced: + 1. `NON_ACTIVE_PURE_CONTROLLER` - Pure controller that is not the active controller + 2. `ACTIVE_PURE_CONTROLLER` - Pure controller is the active controller (the quorum leader) + 3. `BROKER_AND_NOT_ACTIVE_CONTROLLER` - Node that is at least a broker but also might be a controller (combined) and is not the active controller + 4. `BROKER_AND_ACTIVE_CONTROLLER` - Combined node that is the active controller (the quorum leader) + + - If `NON_ACTIVE_PURE_CONTROLLER` group is non empty, check which nodes can be restarted without impacting the quorum health (more on this later) and return a batch containing the first one. + - If `ACTIVE_PURE_CONTROLLER` group is non empty, check if the node can be restarted without impacting the quorum health and return a batch containing the active controller node. + - If `BROKER_AND_NOT_ACTIVE_CONTROLLER` group is non empty, batch the nodes: + - build a map of brokers and their replicating partitions by sending describeTopics request to Admin API. + - batch the nodes that do not have any partitions in common therefore can be restarted together. + - remove nodes that have an impact on the availability from the batches (more on this later). + - return the largest batch. + +8. Restart the nodes in the returned batch in parallel: + - If `numRestarts` of a node is larger than `maxRestarts`, return `MaxRestartsExceededException` , which will fail the reconciliation. + - Otherwise, restart each node and transition its state to `RESTARTED` and increment its `numRestarts`. + - After restarting all the nodes in the batch, wait for their states to become `SERVING` and then `LEADING_ALL_PREFERRED` until the configured `postRestartTimeoutMs` is reached. + +9. If there are no exceptions thrown at this point, the reconciliation completes successfully. + +#### Restarting not running combined nodes + +When restarting not running combined nodes, we will apply a special logic to address the issue described in https://github.com/strimzi/strimzi-kafka-operator/issues/9426. + +In step 3, we restart each node in the `RESTART_FIRST` group one by one. In this specific case, we will compare the total number of not running combined nodes against the total number of controller nodes in the cluster. This is to identify whether all of controllers nodes in this cluster are running in combined mode and all of them are in `NOT_RUNNING` state. In this case, we will restart all the nodes in parallel to give the best chance of forming the quorum. We will then wait for the nodes to have `SERVING` state and then `LEADING_ALL_PREFERRED`. + +#### Quorum health check + +The quorum health logic is similar to the current KafkaRoller except for a couple of differences. The current KafkaRoller uses the `controller.quorum.fetch.timeout.ms` config value from the desired configurations passed from the reconciler or uses the hard-coded default value if the reconciler pass null for desired configurations. The new roller will use the configuration of the active controller. This will mean that the quorum health check is done from the active controller's point of view. + +Also the current KafkaRoller does not connect to the controller via Admin API to get the quorum health information. By the time, we implement this proposal, Strimzi should support Kafka 3.7 which includes [KIP 919](https://cwiki.apache.org/confluence/display/KAFKA/KIP-919%3A+Allow+AdminClient+to+Talk+Directly+with+the+KRaft+Controller+Quorum+and+add+Controller+Registration). Therefore new KafkaRoller will be able to connect to the controller directly for quorum information and active controller's configuration. + +The total number of controllers used in the quorum healthcheck will based on the currently assigned roles of the nodes, rather the size of the `voters` list returned from `describeQuorum` API. That way, when we are scaling down, the quorum healthcheck does not fail due to inconsistent responses from the nodes. This will address the issue described in https://github.com/strimzi/strimzi-kafka-operator/issues/9434. + +#### Availability check + +At this point, we would have already built a map of brokers and their replicating partitions by sending describeTopics requests to the Admin API. Then ISRs that the broker is part of will be checked against the configured under minimum ISR size. If `size(ISR containing the broker) - minISR` > 0, the broker can be considered safe to restart. Otherwise, restarting the broker would cause under minimum ISR partition. If it's less than 0, it means the partition is already under minimum ISR and restarting it would either not make a difference or make things worse. In both cases, the broker should not be restarted. + +### Switching from the current KafkaRoller to the new KafkaRoller + +The new KafkaRoller will only work with KRaft clusters therefore when running in Zookeeper mode, the current KafkaRoller + +The new KafkaRoller will be enabled by default for new KRaft clusters which means new KRaft clusters will always run with the new KafkaRoller. + +The current KafkaRoller will be used during migration of existing clusters from Zookeeper to KRaft mode and will be switched to the new roller once the migration is completed. + +### Future potentials + +- We are not looking to solve the potential race condition between KafkaRoller and Cruise Control rebalance activity right away but this is something we can solve in the future. An example scenario that cause this race: + Let's say we have 5 brokers cluster, minimum in sync replica for topic partition foo-0 is set to 2. The possible sequence of events that could happen: + - Broker 0 is down due to an issue and the ISR of foo-0 partition changes from [0, 1, 2] to [1 , 2]. In this case producers with acks-all still can produce to this partition. + - Cruise Control sends `addingReplicas` request to reassign partition foo-0 to 4 instead of 2 in order to achieve its configured goal. + - The reassignment request is processed and foo-0 partition now has ISR [1, 2, 4]. + - Cruise Control sends `removingReplicas` request to un-assign the partition from broker 2. + - KafkaRoller is performing a rolling update to the cluster. It checks the availability impact for foo-0 partition before rolling broker 1. Since partition foo-0 has ISR [1, 2, 4], KafkaRoller decides that it is safe to restart broker 1. It is unaware of the `removingReplicas` request that is about to be processed. + - The reassignment request is processed and foo-0 partition now has ISR [1, 4]. + - KafkaRoller restarts broker 1 and foo-0 partition now has ISR [4] which is below the configured minimum in sync replica of 2 resulting in producers with acks-all no longer being able to produce to this partition. + + +## Affected/not affected projects + +This proposal affects only +the [`strimzi-Kafka-operator` GitHub repository](https://github.com/strimzi/strimzi-Kafka-operator). + +## Compatibility + +The new KafkaRoller introduced by this proposal will be feature-gated. +This proposal should have no impact on any existing Kafka clusters deployed with ZooKeeper. + +## Rejected + +- Why not use rack information when batching brokers that can be restarted at the same time? +When all replicas of all partitions have been assigned in a rack-aware way then brokers in the same rack trivially share no partitions, and so racks provide a safe partitioning. However nothing in a broker, controller or cruise control is able to enforce the rack-aware property therefore assuming this property is unsafe. Even if CC is being used and rack aware replicas is a hard goal we can't be certain that other tooling hasn't reassigned some replicas since the last rebalance, or that no topics have been created in a rack-unaware way. From 5abafe674c6da6151f1422e24c4adbaabf78aff7 Mon Sep 17 00:00:00 2001 From: Gantigmaa Selenge Date: Mon, 19 Feb 2024 18:02:41 +0000 Subject: [PATCH 02/15] Add explanation for retrying the node Signed-off-by: Gantigmaa Selenge --- 06x-new-kafka-roller.md | 116 ++++++++++++++++++++++------------------ 1 file changed, 63 insertions(+), 53 deletions(-) diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md index 46260447..bdca9ca8 100644 --- a/06x-new-kafka-roller.md +++ b/06x-new-kafka-roller.md @@ -21,7 +21,7 @@ A pod is considered stuck if it is in one of following states: ### Known Issues The existing KafkaRoller has been suffering from the following shortcomings: -- While it is safe and simple to restart one broker at a time, it is slow in large clusters. +- While it is safe and simple to restart one broker at a time, it is slow in large clusters ([related issue](https://github.com/strimzi/strimzi-kafka-operator/issues/8547)). - It doesn’t worry about partition preferred leadership - Hard to reason about when things go wrong. The code is complex to understand and it's not easy to determine why a pod was restarted from logs that tend to be noisy. - Potential race condition between Cruise Control rebalance and KafkaRoller that could cause partitions under minimum in sync replica. This issue is described in more detail in the `Future Improvements` section. @@ -29,16 +29,12 @@ The existing KafkaRoller has been suffering from the following shortcomings: The following non-trivial fixes and changes are missing from the current KafkaRoller's KRaft implementation: -- Currently KafkaRoller has to connect to brokers successfully in order to get KRaft quorum information and determine whether a controller node can be restarted. This is because it was not possible to directly talk to KRaft controllers at the time before [KIP 919](https://cwiki.apache.org/confluence/display/KAFKA/KIP-919%3A+Allow+AdminClient+to+Talk+Directly+with+the+KRaft+Controller+Quorum+and+add+Controller+Registration) was implemented. +- Currently KafkaRoller has to connect to brokers successfully in order to get KRaft quorum information and determine whether a controller node can be restarted. This is because it was not possible to directly talk to KRaft controllers at the time before [KIP 919](https://cwiki.apache.org/confluence/display/KAFKA/KIP-919%3A+Allow+AdminClient+to+Talk+Directly+with+the+KRaft+Controller+Quorum+and+add+Controller+Registration) was implemented. The issue is raised [here](https://github.com/strimzi/strimzi-kafka-operator/issues/9692). - KafkaRoller takes a long time to reconcile combined nodes if they are all in `Pending` state. This is because the combined node does not become ready until the quorum is formed and KafkaRoller waits for a pod to become ready before it attempts to restart other nodes. In order for the quorum to form, at least the majority of controller nodes need to be running at the same time. This is not easy to solve in the current KafkaRoller without introducing some major changes because it processes each node individually and there is no mechanism to restart multiple nodes in parallel. More information can be found [here](https://github.com/strimzi/strimzi-kafka-operator/issues/9426). - The quorum health check is based on the `controller.quorum.fetch.timeout.ms` configuration which it reads from the desired configurations passed from the Reconciler. However, `CAReconcilor` and manual rolling update pass null value for desired configurations because in both cases, the nodes don't need reconfigurations. This results in performing the quorum healthcheck based on the hard-coded default value of `controller.quorum.fetch.timeout.ms` rather than the accurate configuration value when doing manual rolling update and rolling nodes for certificate renewal. -- The current roller's quorum health will be broken once we have scaling supported via [KIP-853](https://cwiki.apache.org/confluence/display/KAFKA/KIP-853%3A+KRaft+Controller+Membership+Changes). KafkaRoller relies on the response from `describeQuorum` API to get the total number of configured controllers. During scale down, the nodes could return inconsistent number of controllers in their responses until all nodes are updated with the correct configuration. This could result in quorum healthcheck not passing therefore not able to restart nodes. - -- KafkaRoller cannot transition nodes from controller only role to combined role. This is because the KRaft controller identifies the role of the node by `NodeRef` object which contains the desired role for the node rather than the currently assigned role. The current roller would have to be updated with a new mechanism to get the currently assigned role. More information can be found here [here](https://github.com/strimzi/strimzi-kafka-operator/issues/9434). - ## Motivation @@ -60,36 +56,39 @@ It will also introduce an algorithm that can restart brokers in parallel while a | Configuration | Default value | Exposed to user | Description | | :-------------| :-------------| :---------------| :---------- | -| maxRestartAttempts | 3 | No | The maximum number of times we attempt to restart a broker before failing the reconciliation. This is checked against `numRestarts` in the `ServerContext`.| -| maxReconfigAttempts | 3 | No | The maximum number of times we attempt to reconfigure a broker before restarting it. | -| postRestartTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for brokers to transition to `SERVING` state after a restart. This will be based on the operational timeout that is already exposed to the user. | -| postReconfigureTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for brokers to transition to `SERVING` state after a reconfiguration. +| maxRestarts | 3 | No | The maximum number of times a node can be restarted before failing the reconciliation. This is checked against `numRestarts` in the `Context`.| +| maxReconfigs | 3 | No | The maximum number of times a node can be reconfigured before restarting it. This is checked against `numReconfigs` in the `Context`.| +| maxAttempts| 10 | No | The maximum number of times a node can be retried before failing the reconciliation. This is checked against `numAttempts` in the `Context`.| +| postOperationTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for nodes to transition to `SERVING` state after an operation in each retry. This will be based on the operational timeout that is already exposed to the user. | | maxBatchSize | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. | -1. When a new reconciliation starts up, `ServerContext` is created for each broker. +1. When a new reconciliation starts up, `Context` is created for each node. ``` - ServerContext { + Context { nodeId: int nodeRole: String state: ServerState reason: String numRestarts: int + numReconfigs: int + numAttempts: int lastTransitionTime: long } ``` - nodeId: Node ID. - - nodeRoles: Process roles of this node (e.g. controller, broker). This will be set using the pod labels `strimzi.io/controller-role` and `strimzi.io/broker-role` because these are currently assigned roles of the node. + - nodeRoles: Process roles of this node (e.g. controller, broker). This will be set using the pod labels `strimzi.io/controller-role` and `strimzi.io/broker-role` because these are the currently assigned roles of the node. - state: It contains the current state of the node based on information collected from the abstracted sources. The table below describes the possible states. - reason: It is updated based on the current predicate logic from the Reconciler. For example, an update in the Kafka CR is detected. - numRestarts: The value is incremented each time the node has been attempted to restart. - numReconfigs: The value is incremented each time the node has been attempted to reconfigure. + - numReconfigs: The value is incremented each time the node has been retried by the roller. - lastTransitionTime: System.currentTimeMillis of last observed state transition. States | State | Description | | :-------------------- | :---------- | - | UNKNOWN | The initial state when creating `ServerContext` for a node. We expect to transition from this state fairly quickly after creating the context for nodes. | + | UNKNOWN | The initial state when creating `Context` for a node. We expect to transition from this state fairly quickly after creating the context for nodes. | | NOT_RUNNING | Node is not running (Kafka process is not running) | | NOT_READY | Node is running but not ready to serve requests (broker state < 2 OR == 127) | | RESTARTED | After successful `kubectl delete pod`. | @@ -100,88 +99,99 @@ It will also introduce an algorithm that can restart brokers in parallel while a 2. The existing predicate function will be called for each of the nodes and those for which the function returns a non-empty list of reasons will be restarted. -2. Group the nodes into four categories: - - `RESTART_FIRST` - Nodes that have `NOT_READY` or `NOT_RUNNING` state in their contexts. The group will also include nodes that - we cannot connect to via Admin API. - - `RESTART` - Nodes that have non-empty list of reasons from the predicate function and have not been restarted yet (ServerContext.numRestarts == 0). - - `MAYBE_RECONFIGURE` - Nodes that have empty list of reasons and have not been reconfigured yet (ServerContext.numReconfigs == 0). - - `NOP` - Nodes that have been restarted or reconfigured at least once (ServerContext.numRestarts > 0 || ServerContext.numReconfigs > 0 ) and have either - `LEADING_ALL_PREFERRED` or `SERVING` state. Also nodes that have `RECOVERING` state. +3. Group the nodes into the following categories based on information collected from the abstracted sources: + - `RESTART_FIRST` - Nodes that have `NOT_READY` or `NOT_RUNNING` state in their contexts. The group will also include nodes that we cannot connect to via Admin API. + - `WAIT_FOR_LOG_RECOVERY` - Nodes that have `RECOVERING` state. + - `RESTART` - Nodes that have non-empty list of reasons from the predicate function and have not been restarted yet (Context.numRestarts == 0). + - `MAYBE_RECONFIGURE` - Broker nodes (including combined nodes) that have an empty list of reasons and not been reconfigured yet (Context.numReconfigs == 0). + - `NOP` - Nodes that have been restarted or reconfigured at least once (Context.numRestarts > 0 || Context.numReconfigs > 0 ) and have either + `LEADING_ALL_PREFERRED` or `SERVING` state. +4. Wait for nodes in `WAIT_FOR_LOG_RECOVERY` group to finish performing log recovery. + - Wait for each node to have `SERVING` within the `postOperationalTimeoutMs`. + - If the timeout is reached for a node and its `numAttempts` is greater than or equal to `maxAttempts`, throw `UnrestartableNodesException` with the log recovery progress (number of remaining logs and segments). Otherwise increment node's `numAttempts` and restart from step 3. -3. Restart nodes in `RESTART_FIRST` category either one by one in the following order unless all nodes are combined +5. Restart nodes in `RESTART_FIRST` category either one by one in the following order unless all nodes are combined and are in `NOT_RUNNING` state: - Pure controller nodes - - Combined nodes. + - Combined nodes - Broker only nodes If all controllers are combined and are in `NOT_RUNNING` state, restart all nodes in parallel and wait for them to have `SERVING`. Explained more in detail below. - Wait until the restarted node to have `SERVING` and then `LEADING_ALL_PREFERRED` state within `postReconfigureTimeoutMs`. + Wait until the restarted node to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numAttempts` is greater than or equal to `maxAttempts`, throw `TimeoutException`. Otherwise increment node's `numAttempts` and restart from step 3. -4. Further refine the nodes in `MAYBE_RECONFIGURE` category: +6. Further refine the broker nodes in `MAYBE_RECONFIGURE` group: - Describe Kafka configurations for each node via Admin API and compare them against the desired configurations. This is essentially the same mechanism we use today for the current KafkaRoller. - If a node has configuration changes and they can be dynamically updated, add the node into another group called `RECONFIGURE`. - If a node has configuration changes but they cannot be dynamically updated, add nodes into the `RESTART` group. - If a node has no configuration changes, put the node into the `NOP` group. -5. Reconfigure each node in `RECONFIGURE` group: - - If `numReconfigs` of a node is greater than the configured `maxReconfigAttempts`, add a restart reason to its context. Otherwise continue. +7. Reconfigure each node in `RECONFIGURE` group: + - If `numReconfigs` of a node is greater than the configured `maxReconfigs`, add a restart reason to its context. Otherwise continue. - Send `incrementalAlterConfig` request with its config updates. - Transitions the node's state to `RECONFIGURED` and increment its `numReconfigs`. - - Wait for each node that got configurations updated until they have `SERVING` and then `LEADING_ALL_PREFERRED` state within `postReconfigureTimeoutMs`. + - Wait for each node that got configurations updated until they have `SERVING` within the `postOperationalTimeoutMs`. + - If the `postOperationalTimeoutMs` is reached, restart from step 3. -6. If at this point, the `RESTART` group is empty, the reconciliation will be completed successfully. +8. If at this point, the `RESTART` group is empty, the reconciliation will be completed successfully. -7. Otherwise, batch nodes in `RESTART` group and get the next batch to restart: +9. Otherwise, batch nodes in `RESTART` group and get the next batch to restart: - Further categorize nodes based on their roles so that the following restart order can be enforced: 1. `NON_ACTIVE_PURE_CONTROLLER` - Pure controller that is not the active controller - 2. `ACTIVE_PURE_CONTROLLER` - Pure controller is the active controller (the quorum leader) + 2. `ACTIVE_PURE_CONTROLLER` - Pure controller that is the active controller (the quorum leader) 3. `BROKER_AND_NOT_ACTIVE_CONTROLLER` - Node that is at least a broker but also might be a controller (combined) and is not the active controller 4. `BROKER_AND_ACTIVE_CONTROLLER` - Combined node that is the active controller (the quorum leader) + + The returned batch will contain only one node if it is not `BROKER_AND_NOT_ACTIVE_CONTROLLER` group, so that controllers are restarted one at a time. - - If `NON_ACTIVE_PURE_CONTROLLER` group is non empty, check which nodes can be restarted without impacting the quorum health (more on this later) and return a batch containing the first one. - - If `ACTIVE_PURE_CONTROLLER` group is non empty, check if the node can be restarted without impacting the quorum health and return a batch containing the active controller node. - - If `BROKER_AND_NOT_ACTIVE_CONTROLLER` group is non empty, batch the nodes: - - build a map of brokers and their replicating partitions by sending describeTopics request to Admin API. - - batch the nodes that do not have any partitions in common therefore can be restarted together. - - remove nodes that have an impact on the availability from the batches (more on this later). - - return the largest batch. - -8. Restart the nodes in the returned batch in parallel: - - If `numRestarts` of a node is larger than `maxRestarts`, return `MaxRestartsExceededException` , which will fail the reconciliation. + - If `NON_ACTIVE_PURE_CONTROLLER` group is non empty, return the first node that can be restarted without impacting the quorum health (more on this later). + - If `ACTIVE_PURE_CONTROLLER` group is non empty, return the node if it can be restarted without impacting the quorum health. Otherwise return an empty set. + - If `BROKER_AND_NOT_ACTIVE_CONTROLLER` group is non empty, batch the broker nodes: + - remove the node from the list, if it is a combined node and cannot be restarted without impacting the quorum health so that it does get included in a batch + - build a map of nodes and their replicating partitions by sending describeTopics request to Admin API + - batch the nodes that do not have any partitions in common therefore can be restarted together + - remove nodes that have an impact on the availability from the batches (more on this later) + - return the largest batch + - If an empty batch is returned, that means none of the nodes met the safety conditions such as availability and qourum health impact. In this case, check their `numAttempts` and if any of them is equal to or greater than `maxAttempts`, throw `UnrestartableNodesException`. Otherwise increment their `numAttempts` and restart from step 3. + +8. Restart the nodes from the returned batch in parallel: + - If `numRestarts` of a node is larger than `maxRestarts`, throw `MaxRestartsExceededException`. - Otherwise, restart each node and transition its state to `RESTARTED` and increment its `numRestarts`. - - After restarting all the nodes in the batch, wait for their states to become `SERVING` and then `LEADING_ALL_PREFERRED` until the configured `postRestartTimeoutMs` is reached. + - After restarting all the nodes in the batch, wait for their states to become `SERVING` until the configured `postOperationalTimeoutMs` is reached. + - If the timeout is reached, throw `TimeoutException` if a node's `numAttempts` is greater than or equal to `maxAttempts`. Otherwise increment their `numAttempts` and restart from step 3. + +9. If there are no exceptions thrown at this point, the reconciliation completes successfully. If there were `UnrestartableNodesException`, `TimeoutException`, `MaxRestartsExceededException` or any other unexpected exceptions throws, the reconciliation fails. -9. If there are no exceptions thrown at this point, the reconciliation completes successfully. +TODO: we need to figure out when to elect preferred leaders and not fail the reconciliation if did not become leaders within the timeout. This does not apply to pure controllers. #### Restarting not running combined nodes When restarting not running combined nodes, we will apply a special logic to address the issue described in https://github.com/strimzi/strimzi-kafka-operator/issues/9426. -In step 3, we restart each node in the `RESTART_FIRST` group one by one. In this specific case, we will compare the total number of not running combined nodes against the total number of controller nodes in the cluster. This is to identify whether all of controllers nodes in this cluster are running in combined mode and all of them are in `NOT_RUNNING` state. In this case, we will restart all the nodes in parallel to give the best chance of forming the quorum. We will then wait for the nodes to have `SERVING` state and then `LEADING_ALL_PREFERRED`. +In step 3, we restart each node in the `RESTART_FIRST` group one by one. In this specific case, we will compare the total number of not running combined nodes against the total number of controller nodes in the cluster. This is to identify whether all of controllers nodes in this cluster are running in combined mode and none of them are running. In this case, we will restart all the nodes in parallel to give the best chance of forming the quorum. We will then wait for the nodes to have `SERVING` state. #### Quorum health check -The quorum health logic is similar to the current KafkaRoller except for a couple of differences. The current KafkaRoller uses the `controller.quorum.fetch.timeout.ms` config value from the desired configurations passed from the reconciler or uses the hard-coded default value if the reconciler pass null for desired configurations. The new roller will use the configuration of the active controller. This will mean that the quorum health check is done from the active controller's point of view. +The quorum health logic is similar to the current KafkaRoller except for a couple of differences. The current KafkaRoller uses the `controller.quorum.fetch.timeout.ms` config value from the desired configurations passed from the reconciler or uses the hard-coded default value if the reconciler pass null for desired configurations. The new roller will use the configuration value of the active controller. This will mean that the quorum health check is done from the active controller's point of view. Also the current KafkaRoller does not connect to the controller via Admin API to get the quorum health information. By the time, we implement this proposal, Strimzi should support Kafka 3.7 which includes [KIP 919](https://cwiki.apache.org/confluence/display/KAFKA/KIP-919%3A+Allow+AdminClient+to+Talk+Directly+with+the+KRaft+Controller+Quorum+and+add+Controller+Registration). Therefore new KafkaRoller will be able to connect to the controller directly for quorum information and active controller's configuration. -The total number of controllers used in the quorum healthcheck will based on the currently assigned roles of the nodes, rather the size of the `voters` list returned from `describeQuorum` API. That way, when we are scaling down, the quorum healthcheck does not fail due to inconsistent responses from the nodes. This will address the issue described in https://github.com/strimzi/strimzi-kafka-operator/issues/9434. +TODO: we need to figure out how to work out the total number of controller without relying on the describe API. #### Availability check -At this point, we would have already built a map of brokers and their replicating partitions by sending describeTopics requests to the Admin API. Then ISRs that the broker is part of will be checked against the configured under minimum ISR size. If `size(ISR containing the broker) - minISR` > 0, the broker can be considered safe to restart. Otherwise, restarting the broker would cause under minimum ISR partition. If it's less than 0, it means the partition is already under minimum ISR and restarting it would either not make a difference or make things worse. In both cases, the broker should not be restarted. +At this point, we would have already built a map of brokers and their replicating partitions by sending describeTopics requests to the Admin API. Then ISRs that the broker is part of will be checked against the configured under minimum ISR size. If `size(ISR containing the broker) - minISR > 0`, the broker can be considered safe to restart. If it equals to 0, restarting the broker could cause under minimum ISR partition. If it's less than 0, it means the partition is already under minimum ISR and restarting it would either not make a difference or make things worse. In both cases, the broker should not be restarted. -### Switching from the current KafkaRoller to the new KafkaRoller +However, if `size(ISR containing the broker) - minISR <= 0` but the topic partition is configured with replication size less than minISR, the check will pass to proceed with the broker restart. -The new KafkaRoller will only work with KRaft clusters therefore when running in Zookeeper mode, the current KafkaRoller +### Switching from the old KafkaRoller to the new KafkaRoller -The new KafkaRoller will be enabled by default for new KRaft clusters which means new KRaft clusters will always run with the new KafkaRoller. +The new KafkaRoller will only work with KRaft clusters therefore when running in Zookeeper mode, the current KafkaRoller will be used. -The current KafkaRoller will be used during migration of existing clusters from Zookeeper to KRaft mode and will be switched to the new roller once the migration is completed. +Kafka CR's `KafkaMetadataState` represents where the metadata is stored for the cluster. It is set to `KRaft` when a cluster is fully migrated to KRaft or was created in KRaft mode. KafkaReconciler will be updated to switch to the new roller based on this state. This means the old KafkaRoller will be used during migration of existing clusters from Zookeeper to KRaft mode and the new roller is used only after the migration is completed and for clusters created in KRaft mode. -### Future potentials +### Future improvement - We are not looking to solve the potential race condition between KafkaRoller and Cruise Control rebalance activity right away but this is something we can solve in the future. An example scenario that cause this race: Let's say we have 5 brokers cluster, minimum in sync replica for topic partition foo-0 is set to 2. The possible sequence of events that could happen: @@ -201,7 +211,7 @@ the [`strimzi-Kafka-operator` GitHub repository](https://github.com/strimzi/stri ## Compatibility -The new KafkaRoller introduced by this proposal will be feature-gated. +The new KafkaRoller introduced by this proposal will used only for KRaft based clusters. This proposal should have no impact on any existing Kafka clusters deployed with ZooKeeper. ## Rejected From 33ec40ea0288df4a2eb62defc7e5806d44a2e7c3 Mon Sep 17 00:00:00 2001 From: Gantigmaa Selenge Date: Tue, 20 Feb 2024 16:24:07 +0000 Subject: [PATCH 03/15] Address review comments Made some improvements on the structure Signed-off-by: Gantigmaa Selenge --- 06x-new-kafka-roller.md | 133 ++++++++++++++++++++++------------------ 1 file changed, 72 insertions(+), 61 deletions(-) diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md index bdca9ca8..b27e9097 100644 --- a/06x-new-kafka-roller.md +++ b/06x-new-kafka-roller.md @@ -2,7 +2,7 @@ ## Current situation -The Kafka Roller is a Cluster Operator component that's responsible for rolling Kafka pods when: +The Kafka Roller is a Cluster Operator component that's responsible for coordinating the rolling restart or reconfiguration of Kafka pods when: - non-dynamic reconfigurations needs to be applied - update in Kafka CRD is detected - a certificate is renewed @@ -20,9 +20,9 @@ A pod is considered stuck if it is in one of following states: ### Known Issues -The existing KafkaRoller has been suffering from the following shortcomings: +The existing KafkaRoller suffers from the following shortcomings: - While it is safe and simple to restart one broker at a time, it is slow in large clusters ([related issue](https://github.com/strimzi/strimzi-kafka-operator/issues/8547)). -- It doesn’t worry about partition preferred leadership +- It doesn’t worry about partition preferred leadership. This means there can be more leadership changes than necessary during a rolling restart, with consequent impact on tail latency. - Hard to reason about when things go wrong. The code is complex to understand and it's not easy to determine why a pod was restarted from logs that tend to be noisy. - Potential race condition between Cruise Control rebalance and KafkaRoller that could cause partitions under minimum in sync replica. This issue is described in more detail in the `Future Improvements` section. - The current code for KafkaRoller does not easily allow growth and adding new functionality due to its complexity. @@ -40,49 +40,28 @@ The following non-trivial fixes and changes are missing from the current KafkaRo Strimzi users have been reporting some of the issues mentioned above and would benefit from a new KafkaRoller that is designed to address the shortcomings of the current KafkaRoller. -The current KafkaRoller has complex and nested conditions therefore makes it challenging for users to debug and understand actions taken on their brokers when things go wrong and configure it correctly for their use cases. A new KafkaRoller that is redesigned to be simpler would help users to easily understand the code and configure it to their needs. +The current KafkaRoller has complex and nested conditions therefore makes it challenging for users to debug and understand actions taken on their brokers when things go wrong and configure it correctly for their use cases. It is also not particularly easy to unit test which results in insufficient test coverage for many edge cases, making it challenging to refactor safely. Therefore, refactoring becomes essential to enhance test coverage effectively. A new KafkaRoller that is redesigned to be simpler would help users to easily understand the code and configure it to their needs. -As you can see above, the current KafkaRoller still needs various changes and potentially more as we get more experience with KRaft and discover more issues. Adding these non trivial changes to a component that is very complex and hard to reason, is expensive and poses potential risks of introducing bugs because of tightly coupled logics andlack of testability. +As you can see above, the current KafkaRoller still needs various changes and potentially more as we get more experience with KRaft and discover more issues. Adding these non trivial changes to a component that is very complex and hard to reason, is expensive and poses potential risks of introducing bugs because of tightly coupled logics and lack of testability. ## Proposal -The objective of this proposal is to introduce a new KafkaRoller with simplified logic therefore more testable, and has structured design resembling a finite state machine. KafkaRoller desisions can become more accurate and better informed by observations coming from different sources (e.g. Kubernetes API, KafkaAgent, Kafka Admin API). These sources will be abstracted so that KafkaRoller is not dependent on their specifics as long as it's getting the information it needs. This will enable the KafkaRoller to run even if the underlying platform is different, for example, not Kubernetes. +The objective of this proposal is to introduce a new KafkaRoller with simplified logic having a structured design resembling a finite state machine. KafkaRoller desisions are informed by observations coming from different sources (e.g. Kubernetes API, KafkaAgent, Kafka Admin API). These sources will be abstracted so that KafkaRoller is not dependent on their specifics as long as it's getting the information it needs. The abstractions also enable much better unit testing. -Depending on the observed states, the roller will perform specific actions, causing each node's state to transition to another state based on the corresponding action. This iterative process continues until each node's state aligns with the desired state. +Depending on the observed states, the roller will perform specific actions. Those actions should cause a subsequent observation to cause a state transition. This iterative process continues until each node's state aligns with the desired state. It will also introduce an algorithm that can restart brokers in parallel while applying safety conditions that can guarantee Kafka producer availability and causing minimal impact on controllers and overall stability of clusters. -0. The following can be the configured for the new KafkaRoller: +### Node State +When a new reconciliation starts up, a context object is created for each node to store the state and other useful information used by the roller. It will have the following fields: -| Configuration | Default value | Exposed to user | Description | -| :-------------| :-------------| :---------------| :---------- | -| maxRestarts | 3 | No | The maximum number of times a node can be restarted before failing the reconciliation. This is checked against `numRestarts` in the `Context`.| -| maxReconfigs | 3 | No | The maximum number of times a node can be reconfigured before restarting it. This is checked against `numReconfigs` in the `Context`.| -| maxAttempts| 10 | No | The maximum number of times a node can be retried before failing the reconciliation. This is checked against `numAttempts` in the `Context`.| -| postOperationTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for nodes to transition to `SERVING` state after an operation in each retry. This will be based on the operational timeout that is already exposed to the user. | -| maxBatchSize | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. | - -1. When a new reconciliation starts up, `Context` is created for each node. - ``` - Context { - nodeId: int - nodeRole: String - state: ServerState - reason: String - numRestarts: int - numReconfigs: int - numAttempts: int - lastTransitionTime: long - } - ``` - - - nodeId: Node ID. - - nodeRoles: Process roles of this node (e.g. controller, broker). This will be set using the pod labels `strimzi.io/controller-role` and `strimzi.io/broker-role` because these are the currently assigned roles of the node. - - state: It contains the current state of the node based on information collected from the abstracted sources. The table below describes the possible states. + - nodeRef: NodeRef object that contains Node ID. + - currentNodeRole: Currently assigned process roles for this node (e.g. controller, broker). + - state: It contains the current state of the node based on information collected from the abstracted sources (Kubernetes API, KafkaAgent and Kafka Admin API). The table below describes the possible states. - reason: It is updated based on the current predicate logic from the Reconciler. For example, an update in the Kafka CR is detected. - numRestarts: The value is incremented each time the node has been attempted to restart. - numReconfigs: The value is incremented each time the node has been attempted to reconfigure. - - numReconfigs: The value is incremented each time the node has been retried by the roller. + - numAttempts: The value is incremented each time the node cannot be restarted/reconfigured due to not meeting safety conditions (more on this later). - lastTransitionTime: System.currentTimeMillis of last observed state transition. States @@ -97,9 +76,36 @@ It will also introduce an algorithm that can restart brokers in parallel while a | SERVING | Node is in running state and ready to serve requests (broker state >= 3 AND != 127). | | LEADING_ALL_PREFERRED | Node is in running state and leading all preferred replicas. | -2. The existing predicate function will be called for each of the nodes and those for which the function returns a non-empty list of reasons will be restarted. +### Configurability +The following can be the configured for the new KafkaRoller: + +| Configuration | Default value | Exposed to user | Description | +| :-------------| :-------------| :---------------| :---------- | +| maxRestarts | 3 | No | The maximum number of times a node can be restarted before failing the reconciliation. This is checked against the node's `numRestarts`.| +| maxReconfigs | 3 | No | The maximum number of times a node can be reconfigured before restarting it. This is checked against the node's `numReconfigs`.| +| maxAttempts| 10 | No | The maximum number of times a node can retried after not meeting the safety conditions. This is checked against the node's `numAttempts`.| +| postOperationTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for nodes to transition to `SERVING` state after an operation in each retry. This will be based on the operation timeout that is already exposed to the user via environment variable `STRIMZI_OPERATION_TIMEOUT_MS`. | +| maxBatchSize | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. | + -3. Group the nodes into the following categories based on information collected from the abstracted sources: +### Algorithm + +1. Initialise a context object for each node with the following data: +``` +Context: { + nodeRef: + nodeRoles: + state: UNKNOWN + lastTransition: + reason: + numRestarts: 0 + numReconfigs: 0 + numAttempts: 0 +} +``` +2. Transition each node's state to the corresponding state based on the information collected from the abstracted sources. + +3. Group the nodes into the following categories based their state and connectivity: - `RESTART_FIRST` - Nodes that have `NOT_READY` or `NOT_RUNNING` state in their contexts. The group will also include nodes that we cannot connect to via Admin API. - `WAIT_FOR_LOG_RECOVERY` - Nodes that have `RECOVERING` state. - `RESTART` - Nodes that have non-empty list of reasons from the predicate function and have not been restarted yet (Context.numRestarts == 0). @@ -111,15 +117,23 @@ It will also introduce an algorithm that can restart brokers in parallel while a - Wait for each node to have `SERVING` within the `postOperationalTimeoutMs`. - If the timeout is reached for a node and its `numAttempts` is greater than or equal to `maxAttempts`, throw `UnrestartableNodesException` with the log recovery progress (number of remaining logs and segments). Otherwise increment node's `numAttempts` and restart from step 3. -5. Restart nodes in `RESTART_FIRST` category either one by one in the following order unless all nodes are combined -and are in `NOT_RUNNING` state: - - Pure controller nodes - - Combined nodes - - Broker only nodes +5. Restart nodes in `RESTART_FIRST` category: + - if one or more nodes have `NOT_RUNNING` state, we first need to check 2 special conditions: + - If all of the nodes are combined and are in `NOT_RUNNING` state, restart them in parallel to give the best chance of forming the quorum. + > This is to address the issue described in https://github.com/strimzi/strimzi-kafka-operator/issues/9426. - If all controllers are combined and are in `NOT_RUNNING` state, restart all nodes in parallel and wait for them to have `SERVING`. Explained more in detail below. + - If a node is in `NOT_RUNNING` state, the restart it only if it has `POD_HAS_OLD_REVISION` reason. This is because, if the node is not running at all, then restarting it likely won't make any difference unless node is out of date. + > For example, if a pod is in pending state due to misconfigured affinity rule, there is no point restarting this pod again or restarting other pods, because that would leave them in pending state as well. If the user then fixed the misconfigured affinity rule, then we should detect that the pod has an old revision, therefore should restart it so that pod is scheduled correctly and runs. - Wait until the restarted node to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numAttempts` is greater than or equal to `maxAttempts`, throw `TimeoutException`. Otherwise increment node's `numAttempts` and restart from step 3. + - At this point either we started all nodes or a node or decided not to because of node's reason not being `POD_HAS_OLD_REVISION`. Regardless, wait for nodes to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numAttempts` is greater than or equal to `maxAttempts`, throw `TimeoutException`. Otherwise increment node's `numAttempts` and restart from step 3. + + + - Otherwise the controllers will be attempted to restart one by one in the following order: + - Pure controller nodes + - Combined nodes + - Broker only nodes + + - Wait for the restarted node to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numAttempts` is greater than or equal to `maxAttempts`, throw `TimeoutException`. Otherwise increment node's `numAttempts` and restart from step 3. 6. Further refine the broker nodes in `MAYBE_RECONFIGURE` group: - Describe Kafka configurations for each node via Admin API and compare them against the desired configurations. This is essentially the same mechanism we use today for the current KafkaRoller. @@ -131,23 +145,26 @@ and are in `NOT_RUNNING` state: - If `numReconfigs` of a node is greater than the configured `maxReconfigs`, add a restart reason to its context. Otherwise continue. - Send `incrementalAlterConfig` request with its config updates. - Transitions the node's state to `RECONFIGURED` and increment its `numReconfigs`. - - Wait for each node that got configurations updated until they have `SERVING` within the `postOperationalTimeoutMs`. + - Wait for each node that got configurations updated until they have `LEADING_ALL_PREFERRED` within the `postOperationalTimeoutMs`. - If the `postOperationalTimeoutMs` is reached, restart from step 3. 8. If at this point, the `RESTART` group is empty, the reconciliation will be completed successfully. 9. Otherwise, batch nodes in `RESTART` group and get the next batch to restart: - Further categorize nodes based on their roles so that the following restart order can be enforced: - 1. `NON_ACTIVE_PURE_CONTROLLER` - Pure controller that is not the active controller - 2. `ACTIVE_PURE_CONTROLLER` - Pure controller that is the active controller (the quorum leader) - 3. `BROKER_AND_NOT_ACTIVE_CONTROLLER` - Node that is at least a broker but also might be a controller (combined) and is not the active controller - 4. `BROKER_AND_ACTIVE_CONTROLLER` - Combined node that is the active controller (the quorum leader) - - The returned batch will contain only one node if it is not `BROKER_AND_NOT_ACTIVE_CONTROLLER` group, so that controllers are restarted one at a time. + 1. `NON_ACTIVE_CONTROLLER` - Pure controller that is not the active controller + 2. `ACTIVE_CONTROLLER` - Pure controller that is the active controller (the quorum leader) + 3. `COMBINED_AND_NOT_ACTIVE_CONTROLLER` - Combined node (both controller and broker) and is not the active controller + 4. `COMBINED_AND_ACTIVE_CONTROLLER` - Combined node (both controller and broker) and is the active controller (the quorum leader) + 5. `BROKER` - Pure broker + + > The batch returned will comprise only one node for all groups except 'BROKER', ensuring that controllers are restarted sequentially. This approach is taken to mitigate the risk of losing quorum when restarting multiple controller nodes simultaneously. A failure to establish quorum due to unhealthy controller nodes directly impacts the brokers and consequently the availability of the cluster. However, restarting broker nodes can be executed without affecting availability. If concurrently restarting brokers do not share any topic partitions, the in-sync replicas (ISRs) of topic partitions will lose no more than one replica, thus preserving availability. - If `NON_ACTIVE_PURE_CONTROLLER` group is non empty, return the first node that can be restarted without impacting the quorum health (more on this later). - If `ACTIVE_PURE_CONTROLLER` group is non empty, return the node if it can be restarted without impacting the quorum health. Otherwise return an empty set. - - If `BROKER_AND_NOT_ACTIVE_CONTROLLER` group is non empty, batch the broker nodes: + - If `COMBINED_AND_NOT_ACTIVE_CONTROLLER` group is non empty, return the first node that can be restarted without impacting the quorum health and the availability. + - If `COMBINED_AND_ACTIVE_CONTROLLER` group is non empty, return the node if it can be restarted without impacting the quorum health and the availability. Otherwise return an empty set. + - If `BROKER` group is non empty, batch the broker nodes: - remove the node from the list, if it is a combined node and cannot be restarted without impacting the quorum health so that it does get included in a batch - build a map of nodes and their replicating partitions by sending describeTopics request to Admin API - batch the nodes that do not have any partitions in common therefore can be restarted together @@ -159,17 +176,11 @@ and are in `NOT_RUNNING` state: - If `numRestarts` of a node is larger than `maxRestarts`, throw `MaxRestartsExceededException`. - Otherwise, restart each node and transition its state to `RESTARTED` and increment its `numRestarts`. - After restarting all the nodes in the batch, wait for their states to become `SERVING` until the configured `postOperationalTimeoutMs` is reached. - - If the timeout is reached, throw `TimeoutException` if a node's `numAttempts` is greater than or equal to `maxAttempts`. Otherwise increment their `numAttempts` and restart from step 3. + - If the timeout is reached, throw `TimeoutException` if a node's `numAttempts` is greater than or equal to `maxAttempts`. Otherwise increment their `numAttempts` and restart from step 3. 9. If there are no exceptions thrown at this point, the reconciliation completes successfully. If there were `UnrestartableNodesException`, `TimeoutException`, `MaxRestartsExceededException` or any other unexpected exceptions throws, the reconciliation fails. -TODO: we need to figure out when to elect preferred leaders and not fail the reconciliation if did not become leaders within the timeout. This does not apply to pure controllers. - -#### Restarting not running combined nodes - -When restarting not running combined nodes, we will apply a special logic to address the issue described in https://github.com/strimzi/strimzi-kafka-operator/issues/9426. - -In step 3, we restart each node in the `RESTART_FIRST` group one by one. In this specific case, we will compare the total number of not running combined nodes against the total number of controller nodes in the cluster. This is to identify whether all of controllers nodes in this cluster are running in combined mode and none of them are running. In this case, we will restart all the nodes in parallel to give the best chance of forming the quorum. We will then wait for the nodes to have `SERVING` state. +TODO: we need to figure out when to elect preferred leaders and not fail the reconciliation if did not become leaders within the timeout. This does not apply to pure controllers. Also at the point of restarting the unready nodes, admin is not initialised yet. #### Quorum health check @@ -177,7 +188,7 @@ The quorum health logic is similar to the current KafkaRoller except for a coupl Also the current KafkaRoller does not connect to the controller via Admin API to get the quorum health information. By the time, we implement this proposal, Strimzi should support Kafka 3.7 which includes [KIP 919](https://cwiki.apache.org/confluence/display/KAFKA/KIP-919%3A+Allow+AdminClient+to+Talk+Directly+with+the+KRaft+Controller+Quorum+and+add+Controller+Registration). Therefore new KafkaRoller will be able to connect to the controller directly for quorum information and active controller's configuration. -TODO: we need to figure out how to work out the total number of controller without relying on the describe API. +> TODO: we need to figure out how to work out the total number of controller without relying on the describe API. This is because we need to know the number of controllers, when all pods are down. Also nodes could have inconsistent information about the quorum during scale down. #### Availability check @@ -196,7 +207,7 @@ Kafka CR's `KafkaMetadataState` represents where the metadata is stored for the - We are not looking to solve the potential race condition between KafkaRoller and Cruise Control rebalance activity right away but this is something we can solve in the future. An example scenario that cause this race: Let's say we have 5 brokers cluster, minimum in sync replica for topic partition foo-0 is set to 2. The possible sequence of events that could happen: - Broker 0 is down due to an issue and the ISR of foo-0 partition changes from [0, 1, 2] to [1 , 2]. In this case producers with acks-all still can produce to this partition. - - Cruise Control sends `addingReplicas` request to reassign partition foo-0 to 4 instead of 2 in order to achieve its configured goal. + - Cruise Control sends `addingReplicas` request to reassign partition foo-0 to broker 4 instead of broker 2 in order to achieve its configured goal. - The reassignment request is processed and foo-0 partition now has ISR [1, 2, 4]. - Cruise Control sends `removingReplicas` request to un-assign the partition from broker 2. - KafkaRoller is performing a rolling update to the cluster. It checks the availability impact for foo-0 partition before rolling broker 1. Since partition foo-0 has ISR [1, 2, 4], KafkaRoller decides that it is safe to restart broker 1. It is unaware of the `removingReplicas` request that is about to be processed. From 4f91a5a037e66dcd4bd97faf0c570f3bb6af8c91 Mon Sep 17 00:00:00 2001 From: Gantigmaa Selenge Date: Tue, 12 Mar 2024 12:16:45 +0000 Subject: [PATCH 04/15] Address comments from Federico Tidy up Signed-off-by: Gantigmaa Selenge --- 06x-new-kafka-roller.md | 75 ++++++++++++++++++++--------------------- 1 file changed, 36 insertions(+), 39 deletions(-) diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md index b27e9097..c10c9029 100644 --- a/06x-new-kafka-roller.md +++ b/06x-new-kafka-roller.md @@ -2,7 +2,7 @@ ## Current situation -The Kafka Roller is a Cluster Operator component that's responsible for coordinating the rolling restart or reconfiguration of Kafka pods when: +The Kafka Roller is an internal Cluster Operator component that's responsible for coordinating the rolling restart or reconfiguration of Kafka pods when: - non-dynamic reconfigurations needs to be applied - update in Kafka CRD is detected - a certificate is renewed @@ -10,8 +10,6 @@ The Kafka Roller is a Cluster Operator component that's responsible for coordina - pod is stuck and is out of date - Kafka broker is unresponsive to Kafka Admin connections -These are not the exhaustive list of possible triggers for rolling Kafka pods, but the main ones to highlight. - A pod is considered stuck if it is in one of following states: - `CrashLoopBackOff` - `ImagePullBackOff` @@ -46,7 +44,7 @@ As you can see above, the current KafkaRoller still needs various changes and po ## Proposal -The objective of this proposal is to introduce a new KafkaRoller with simplified logic having a structured design resembling a finite state machine. KafkaRoller desisions are informed by observations coming from different sources (e.g. Kubernetes API, KafkaAgent, Kafka Admin API). These sources will be abstracted so that KafkaRoller is not dependent on their specifics as long as it's getting the information it needs. The abstractions also enable much better unit testing. +The objective of this proposal is to introduce a new KafkaRoller with simplified logic having a structured design resembling a finite state machine. KafkaRoller decisions are informed by observations coming from different sources (e.g. Kubernetes API, KafkaAgent, Kafka Admin API). These sources will be abstracted so that KafkaRoller is not dependent on their specifics as long as it's getting the information it needs. The abstractions also enable much better unit testing. Depending on the observed states, the roller will perform specific actions. Those actions should cause a subsequent observation to cause a state transition. This iterative process continues until each node's state aligns with the desired state. @@ -59,9 +57,9 @@ When a new reconciliation starts up, a context object is created for each node t - currentNodeRole: Currently assigned process roles for this node (e.g. controller, broker). - state: It contains the current state of the node based on information collected from the abstracted sources (Kubernetes API, KafkaAgent and Kafka Admin API). The table below describes the possible states. - reason: It is updated based on the current predicate logic from the Reconciler. For example, an update in the Kafka CR is detected. - - numRestarts: The value is incremented each time the node has been attempted to restart. - - numReconfigs: The value is incremented each time the node has been attempted to reconfigure. - - numAttempts: The value is incremented each time the node cannot be restarted/reconfigured due to not meeting safety conditions (more on this later). + - numRestartAttempts: The value is incremented each time the node has been attempted to restart. + - numReconfigAttempts: The value is incremented each time the node has been attempted to reconfigure. + - numRetries: The value is incremented each time the node cannot be restarted/reconfigured due to not meeting safety conditions (more on this later). - lastTransitionTime: System.currentTimeMillis of last observed state transition. States @@ -76,16 +74,18 @@ When a new reconciliation starts up, a context object is created for each node t | SERVING | Node is in running state and ready to serve requests (broker state >= 3 AND != 127). | | LEADING_ALL_PREFERRED | Node is in running state and leading all preferred replicas. | +The broker states are defined [here](https://github.com/apache/kafka/blob/58ddd693e69599b177d09c2e384f31e7f5e11171/metadata/src/main/java/org/apache/kafka/metadata/BrokerState.java#L46). + ### Configurability -The following can be the configured for the new KafkaRoller: +The following can be the configuration options for the new KafkaRoller: | Configuration | Default value | Exposed to user | Description | | :-------------| :-------------| :---------------| :---------- | -| maxRestarts | 3 | No | The maximum number of times a node can be restarted before failing the reconciliation. This is checked against the node's `numRestarts`.| -| maxReconfigs | 3 | No | The maximum number of times a node can be reconfigured before restarting it. This is checked against the node's `numReconfigs`.| -| maxAttempts| 10 | No | The maximum number of times a node can retried after not meeting the safety conditions. This is checked against the node's `numAttempts`.| +| maxRestartAttempts | 3 | No | The maximum number of times a node can be restarted before failing the reconciliation. This is checked against the node's `numRestartAttempts`.| +| maxReconfigAttempts | 3 | No | The maximum number of times a node can be reconfigured before restarting it. This is checked against the node's `numReconfigAttempts`.| +| maxRetries| 10 | No | The maximum number of times a node can retried after not meeting the safety conditions. This is checked against the node's `numRetries`.| | postOperationTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for nodes to transition to `SERVING` state after an operation in each retry. This will be based on the operation timeout that is already exposed to the user via environment variable `STRIMZI_OPERATION_TIMEOUT_MS`. | -| maxBatchSize | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. | +| maxRestartParallelism | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. | ### Algorithm @@ -98,55 +98,55 @@ Context: { state: UNKNOWN lastTransition: reason: - numRestarts: 0 - numReconfigs: 0 - numAttempts: 0 + numRestartAttempts: 0 + numReconfigAttempts: 0 + numRetries: 0 } ``` 2. Transition each node's state to the corresponding state based on the information collected from the abstracted sources. -3. Group the nodes into the following categories based their state and connectivity: +3. Group the nodes into the following categories based on their state and connectivity: - `RESTART_FIRST` - Nodes that have `NOT_READY` or `NOT_RUNNING` state in their contexts. The group will also include nodes that we cannot connect to via Admin API. - `WAIT_FOR_LOG_RECOVERY` - Nodes that have `RECOVERING` state. - - `RESTART` - Nodes that have non-empty list of reasons from the predicate function and have not been restarted yet (Context.numRestarts == 0). - - `MAYBE_RECONFIGURE` - Broker nodes (including combined nodes) that have an empty list of reasons and not been reconfigured yet (Context.numReconfigs == 0). - - `NOP` - Nodes that have been restarted or reconfigured at least once (Context.numRestarts > 0 || Context.numReconfigs > 0 ) and have either + - `RESTART` - Nodes that have non-empty list of reasons from the predicate function and have not been restarted yet (Context.numRestartAttempts == 0). + - `MAYBE_RECONFIGURE` - Broker nodes (including combined nodes) that have an empty list of reasons and not been reconfigured yet (Context.numReconfigAttempts == 0). + - `NOP` - Nodes that have at least one restart or reconfiguration attempt (Context.numRestartAttempts > 0 || Context.numReconfigAttempts > 0 ) and have either `LEADING_ALL_PREFERRED` or `SERVING` state. 4. Wait for nodes in `WAIT_FOR_LOG_RECOVERY` group to finish performing log recovery. - Wait for each node to have `SERVING` within the `postOperationalTimeoutMs`. - - If the timeout is reached for a node and its `numAttempts` is greater than or equal to `maxAttempts`, throw `UnrestartableNodesException` with the log recovery progress (number of remaining logs and segments). Otherwise increment node's `numAttempts` and restart from step 3. + - If the timeout is reached for a node and its `numRetries` is greater than or equal to `maxRetries`, throw `UnrestartableNodesException` with the log recovery progress (number of remaining logs and segments). Otherwise increment node's `numRetries` and repeat from step 3. 5. Restart nodes in `RESTART_FIRST` category: - if one or more nodes have `NOT_RUNNING` state, we first need to check 2 special conditions: - If all of the nodes are combined and are in `NOT_RUNNING` state, restart them in parallel to give the best chance of forming the quorum. > This is to address the issue described in https://github.com/strimzi/strimzi-kafka-operator/issues/9426. - - If a node is in `NOT_RUNNING` state, the restart it only if it has `POD_HAS_OLD_REVISION` reason. This is because, if the node is not running at all, then restarting it likely won't make any difference unless node is out of date. + - If a node is in `NOT_RUNNING` state, the restart it only if it has `POD_HAS_OLD_REVISION` reason. This is because, if the node is not running at all, then restarting it likely won't make any difference unless the node is out of date. > For example, if a pod is in pending state due to misconfigured affinity rule, there is no point restarting this pod again or restarting other pods, because that would leave them in pending state as well. If the user then fixed the misconfigured affinity rule, then we should detect that the pod has an old revision, therefore should restart it so that pod is scheduled correctly and runs. - - At this point either we started all nodes or a node or decided not to because of node's reason not being `POD_HAS_OLD_REVISION`. Regardless, wait for nodes to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numAttempts` is greater than or equal to `maxAttempts`, throw `TimeoutException`. Otherwise increment node's `numAttempts` and restart from step 3. + - At this point either we started nodes or decided not to because nodes did not have `POD_HAS_OLD_REVISION` reason. Regardless, wait for nodes to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 3. - - Otherwise the controllers will be attempted to restart one by one in the following order: + - Otherwise the nodes will be attempted to restart one by one in the following order: - Pure controller nodes - Combined nodes - Broker only nodes - - Wait for the restarted node to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numAttempts` is greater than or equal to `maxAttempts`, throw `TimeoutException`. Otherwise increment node's `numAttempts` and restart from step 3. + - Wait for the restarted node to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 3. 6. Further refine the broker nodes in `MAYBE_RECONFIGURE` group: - Describe Kafka configurations for each node via Admin API and compare them against the desired configurations. This is essentially the same mechanism we use today for the current KafkaRoller. - If a node has configuration changes and they can be dynamically updated, add the node into another group called `RECONFIGURE`. - - If a node has configuration changes but they cannot be dynamically updated, add nodes into the `RESTART` group. + - If a node has configuration changes but they cannot be dynamically updated, add the node into the `RESTART` group. - If a node has no configuration changes, put the node into the `NOP` group. 7. Reconfigure each node in `RECONFIGURE` group: - - If `numReconfigs` of a node is greater than the configured `maxReconfigs`, add a restart reason to its context. Otherwise continue. + - If `numReconfigAttempts` of a node is greater than the configured `maxReconfigAttempts`, add a restart reason to its context and repeat from step 3. Otherwise continue. - Send `incrementalAlterConfig` request with its config updates. - - Transitions the node's state to `RECONFIGURED` and increment its `numReconfigs`. + - Transitions the node's state to `RECONFIGURED` and increment its `numReconfigAttempts`. - Wait for each node that got configurations updated until they have `LEADING_ALL_PREFERRED` within the `postOperationalTimeoutMs`. - - If the `postOperationalTimeoutMs` is reached, restart from step 3. + - If the `postOperationalTimeoutMs` is reached, repeat from step 3. 8. If at this point, the `RESTART` group is empty, the reconciliation will be completed successfully. @@ -165,22 +165,21 @@ Context: { - If `COMBINED_AND_NOT_ACTIVE_CONTROLLER` group is non empty, return the first node that can be restarted without impacting the quorum health and the availability. - If `COMBINED_AND_ACTIVE_CONTROLLER` group is non empty, return the node if it can be restarted without impacting the quorum health and the availability. Otherwise return an empty set. - If `BROKER` group is non empty, batch the broker nodes: - - remove the node from the list, if it is a combined node and cannot be restarted without impacting the quorum health so that it does get included in a batch - build a map of nodes and their replicating partitions by sending describeTopics request to Admin API - batch the nodes that do not have any partitions in common therefore can be restarted together - remove nodes that have an impact on the availability from the batches (more on this later) - return the largest batch - - If an empty batch is returned, that means none of the nodes met the safety conditions such as availability and qourum health impact. In this case, check their `numAttempts` and if any of them is equal to or greater than `maxAttempts`, throw `UnrestartableNodesException`. Otherwise increment their `numAttempts` and restart from step 3. + - If an empty batch is returned, that means none of the nodes met the safety conditions such as availability and qourum health impact. In this case, check their `numRetries` and if any of them is equal to or greater than `maxRetries`, throw `UnrestartableNodesException`. Otherwise increment their `numRetries` and repeat from step 3. 8. Restart the nodes from the returned batch in parallel: - - If `numRestarts` of a node is larger than `maxRestarts`, throw `MaxRestartsExceededException`. - - Otherwise, restart each node and transition its state to `RESTARTED` and increment its `numRestarts`. + - If `numRestartAttempts` of a node is larger than `maxRestartAttempts`, throw `MaxRestartsExceededException`. + - Otherwise, restart each node and transition its state to `RESTARTED` and increment its `numRestartAttempts`. - After restarting all the nodes in the batch, wait for their states to become `SERVING` until the configured `postOperationalTimeoutMs` is reached. - - If the timeout is reached, throw `TimeoutException` if a node's `numAttempts` is greater than or equal to `maxAttempts`. Otherwise increment their `numAttempts` and restart from step 3. + - If the timeout is reached, throw `TimeoutException` if a node's `numRetries` is greater than or equal to `maxRetries`. Otherwise increment their `numRetries` and repeat from step 3. + - After all the nodes are in `SERVING` state, trigger preferred leader elections via Admin client. Wait for their states to become `LEADING_ALL_PREFERRED` until the configured `postOperationalTimeoutMs` is reached. If the timeout is reached, log a `WARN` message. -9. If there are no exceptions thrown at this point, the reconciliation completes successfully. If there were `UnrestartableNodesException`, `TimeoutException`, `MaxRestartsExceededException` or any other unexpected exceptions throws, the reconciliation fails. -TODO: we need to figure out when to elect preferred leaders and not fail the reconciliation if did not become leaders within the timeout. This does not apply to pure controllers. Also at the point of restarting the unready nodes, admin is not initialised yet. +9. If there are no exceptions thrown at this point, the reconciliation completes successfully. If there were `UnrestartableNodesException`, `TimeoutException`, `MaxRestartsExceededException` or any other unexpected exceptions throws, the reconciliation fails. #### Quorum health check @@ -188,11 +187,9 @@ The quorum health logic is similar to the current KafkaRoller except for a coupl Also the current KafkaRoller does not connect to the controller via Admin API to get the quorum health information. By the time, we implement this proposal, Strimzi should support Kafka 3.7 which includes [KIP 919](https://cwiki.apache.org/confluence/display/KAFKA/KIP-919%3A+Allow+AdminClient+to+Talk+Directly+with+the+KRaft+Controller+Quorum+and+add+Controller+Registration). Therefore new KafkaRoller will be able to connect to the controller directly for quorum information and active controller's configuration. -> TODO: we need to figure out how to work out the total number of controller without relying on the describe API. This is because we need to know the number of controllers, when all pods are down. Also nodes could have inconsistent information about the quorum during scale down. - #### Availability check -At this point, we would have already built a map of brokers and their replicating partitions by sending describeTopics requests to the Admin API. Then ISRs that the broker is part of will be checked against the configured under minimum ISR size. If `size(ISR containing the broker) - minISR > 0`, the broker can be considered safe to restart. If it equals to 0, restarting the broker could cause under minimum ISR partition. If it's less than 0, it means the partition is already under minimum ISR and restarting it would either not make a difference or make things worse. In both cases, the broker should not be restarted. +The availibility check logic similar to the current KafkaRoller. The ISRs that the broker is part of is checked against the configured under minimum ISR size. If `size(ISR containing the broker) - minISR > 0`, the broker can be considered safe to restart. If it equals to 0, restarting the broker could cause under minimum ISR partition. If it's less than 0, it means the partition is already under minimum ISR and restarting it would either not make a difference or make things worse. In both cases, the broker should not be restarted. However, if `size(ISR containing the broker) - minISR <= 0` but the topic partition is configured with replication size less than minISR, the check will pass to proceed with the broker restart. @@ -200,7 +197,7 @@ However, if `size(ISR containing the broker) - minISR <= 0` but the topic partit The new KafkaRoller will only work with KRaft clusters therefore when running in Zookeeper mode, the current KafkaRoller will be used. -Kafka CR's `KafkaMetadataState` represents where the metadata is stored for the cluster. It is set to `KRaft` when a cluster is fully migrated to KRaft or was created in KRaft mode. KafkaReconciler will be updated to switch to the new roller based on this state. This means the old KafkaRoller will be used during migration of existing clusters from Zookeeper to KRaft mode and the new roller is used only after the migration is completed and for clusters created in KRaft mode. +Kafka CR's `KafkaMetadataState` represents where the metadata is stored for the cluster. It is set to `KRaft` when a cluster is fully migrated to KRaft or was created in KRaft mode. KafkaReconciler will be updated to switch to the new roller based on this state. This means the old KafkaRoller will be used during migration of existing clusters from Zookeeper to KRaft mode and the new roller is used only after the migration is completed and for new clusters created in KRaft mode. ### Future improvement From 941fe43ccf3cf5cd9e9c4dd592f77198225ba02a Mon Sep 17 00:00:00 2001 From: Gantigmaa Selenge Date: Wed, 3 Apr 2024 09:33:43 +0100 Subject: [PATCH 05/15] Add more description on how unready nodes are handled. Signed-off-by: Gantigmaa Selenge --- 06x-new-kafka-roller.md | 45 ++++++++++++++++++++++++----------------- 1 file changed, 27 insertions(+), 18 deletions(-) diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md index c10c9029..d0bac560 100644 --- a/06x-new-kafka-roller.md +++ b/06x-new-kafka-roller.md @@ -103,9 +103,14 @@ Context: { numRetries: 0 } ``` -2. Transition each node's state to the corresponding state based on the information collected from the abstracted sources. +2. Observe and transition each node's state to the corresponding state based on the information collected from the abstracted sources. -3. Group the nodes into the following categories based on their state and connectivity: +3. If there are nodes in `NOT_READY` state, wait for them to have `SERVING` within the `postOperationalTimeoutMs`. + We want to give nodes chance to get ready before we try to connect to the or consider them for rolling. This is important especially for nodes which were just started. + This is consistent with how the current roller handles unready nodes. + - If the timeout is reached, proceed to the next step and check if any of the nodes need to be restarted. + +4. Group the nodes into the following categories based on their state and connectivity: - `RESTART_FIRST` - Nodes that have `NOT_READY` or `NOT_RUNNING` state in their contexts. The group will also include nodes that we cannot connect to via Admin API. - `WAIT_FOR_LOG_RECOVERY` - Nodes that have `RECOVERING` state. - `RESTART` - Nodes that have non-empty list of reasons from the predicate function and have not been restarted yet (Context.numRestartAttempts == 0). @@ -113,11 +118,11 @@ Context: { - `NOP` - Nodes that have at least one restart or reconfiguration attempt (Context.numRestartAttempts > 0 || Context.numReconfigAttempts > 0 ) and have either `LEADING_ALL_PREFERRED` or `SERVING` state. -4. Wait for nodes in `WAIT_FOR_LOG_RECOVERY` group to finish performing log recovery. - - Wait for each node to have `SERVING` within the `postOperationalTimeoutMs`. - - If the timeout is reached for a node and its `numRetries` is greater than or equal to `maxRetries`, throw `UnrestartableNodesException` with the log recovery progress (number of remaining logs and segments). Otherwise increment node's `numRetries` and repeat from step 3. +5. Wait for nodes in `WAIT_FOR_LOG_RECOVERY` group to finish performing log recovery. + - Wait for nodes to have `SERVING` within the `postOperationalTimeoutMs`. + - If the timeout is reached for a node and its `numRetries` is greater than or equal to `maxRetries`, throw `UnrestartableNodesException` with the log recovery progress (number of remaining logs and segments). Otherwise increment node's `numRetries` and repeat from step 2. -5. Restart nodes in `RESTART_FIRST` category: +6. Restart nodes in `RESTART_FIRST` category: - if one or more nodes have `NOT_RUNNING` state, we first need to check 2 special conditions: - If all of the nodes are combined and are in `NOT_RUNNING` state, restart them in parallel to give the best chance of forming the quorum. > This is to address the issue described in https://github.com/strimzi/strimzi-kafka-operator/issues/9426. @@ -125,7 +130,7 @@ Context: { - If a node is in `NOT_RUNNING` state, the restart it only if it has `POD_HAS_OLD_REVISION` reason. This is because, if the node is not running at all, then restarting it likely won't make any difference unless the node is out of date. > For example, if a pod is in pending state due to misconfigured affinity rule, there is no point restarting this pod again or restarting other pods, because that would leave them in pending state as well. If the user then fixed the misconfigured affinity rule, then we should detect that the pod has an old revision, therefore should restart it so that pod is scheduled correctly and runs. - - At this point either we started nodes or decided not to because nodes did not have `POD_HAS_OLD_REVISION` reason. Regardless, wait for nodes to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 3. + - At this point either we started nodes or decided not to because nodes did not have `POD_HAS_OLD_REVISION` reason. Regardless, wait for nodes to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 2. - Otherwise the nodes will be attempted to restart one by one in the following order: @@ -133,24 +138,28 @@ Context: { - Combined nodes - Broker only nodes - - Wait for the restarted node to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 3. + - Wait for the restarted node to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 2. -6. Further refine the broker nodes in `MAYBE_RECONFIGURE` group: +7. Further refine the broker nodes in `MAYBE_RECONFIGURE` group: - Describe Kafka configurations for each node via Admin API and compare them against the desired configurations. This is essentially the same mechanism we use today for the current KafkaRoller. - If a node has configuration changes and they can be dynamically updated, add the node into another group called `RECONFIGURE`. - If a node has configuration changes but they cannot be dynamically updated, add the node into the `RESTART` group. - If a node has no configuration changes, put the node into the `NOP` group. -7. Reconfigure each node in `RECONFIGURE` group: - - If `numReconfigAttempts` of a node is greater than the configured `maxReconfigAttempts`, add a restart reason to its context and repeat from step 3. Otherwise continue. +8. Reconfigure each node in `RECONFIGURE` group: + - If `numReconfigAttempts` of a node is greater than the configured `maxReconfigAttempts`, add a restart reason to its context and repeat from step 2. Otherwise continue. - Send `incrementalAlterConfig` request with its config updates. - Transitions the node's state to `RECONFIGURED` and increment its `numReconfigAttempts`. - Wait for each node that got configurations updated until they have `LEADING_ALL_PREFERRED` within the `postOperationalTimeoutMs`. - - If the `postOperationalTimeoutMs` is reached, repeat from step 3. + - If the `postOperationalTimeoutMs` is reached, repeat from step 2. -8. If at this point, the `RESTART` group is empty, the reconciliation will be completed successfully. +9. If at this point, the `RESTART` group is empty and if there is no nodes that is in `NOT_READY` state, the reconciliation will be completed successfully. + - If there are nodes in `NOT_READY` state, wait for them to have `SERVING` within the `postOperationalTimeoutMs`. + - If the timeout is reached for a node and its `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. + - Otherwise increment node's `numRetries` and repeat from step 2. + This is consistent with how the current roller handles unready nodes. -9. Otherwise, batch nodes in `RESTART` group and get the next batch to restart: +10. Otherwise, batch nodes in `RESTART` group and get the next batch to restart: - Further categorize nodes based on their roles so that the following restart order can be enforced: 1. `NON_ACTIVE_CONTROLLER` - Pure controller that is not the active controller 2. `ACTIVE_CONTROLLER` - Pure controller that is the active controller (the quorum leader) @@ -169,17 +178,17 @@ Context: { - batch the nodes that do not have any partitions in common therefore can be restarted together - remove nodes that have an impact on the availability from the batches (more on this later) - return the largest batch - - If an empty batch is returned, that means none of the nodes met the safety conditions such as availability and qourum health impact. In this case, check their `numRetries` and if any of them is equal to or greater than `maxRetries`, throw `UnrestartableNodesException`. Otherwise increment their `numRetries` and repeat from step 3. + - If an empty batch is returned, that means none of the nodes met the safety conditions such as availability and qourum health impact. In this case, check their `numRetries` and if any of them is equal to or greater than `maxRetries`, throw `UnrestartableNodesException`. Otherwise increment their `numRetries` and repeat from step 2. -8. Restart the nodes from the returned batch in parallel: +11. Restart the nodes from the returned batch in parallel: - If `numRestartAttempts` of a node is larger than `maxRestartAttempts`, throw `MaxRestartsExceededException`. - Otherwise, restart each node and transition its state to `RESTARTED` and increment its `numRestartAttempts`. - After restarting all the nodes in the batch, wait for their states to become `SERVING` until the configured `postOperationalTimeoutMs` is reached. - - If the timeout is reached, throw `TimeoutException` if a node's `numRetries` is greater than or equal to `maxRetries`. Otherwise increment their `numRetries` and repeat from step 3. + - If the timeout is reached, throw `TimeoutException`. If a node's `numRetries` is greater than or equal to `maxRetries`. Otherwise increment their `numRetries` and repeat from step 2. - After all the nodes are in `SERVING` state, trigger preferred leader elections via Admin client. Wait for their states to become `LEADING_ALL_PREFERRED` until the configured `postOperationalTimeoutMs` is reached. If the timeout is reached, log a `WARN` message. -9. If there are no exceptions thrown at this point, the reconciliation completes successfully. If there were `UnrestartableNodesException`, `TimeoutException`, `MaxRestartsExceededException` or any other unexpected exceptions throws, the reconciliation fails. +12. If there are no exceptions thrown at this point, the reconciliation completes successfully. If there were `UnrestartableNodesException`, `TimeoutException`, `MaxRestartsExceededException` or any other unexpected exceptions throws, the reconciliation fails. #### Quorum health check From 1147134022e8b34ab3d8c41cf83056a475901716 Mon Sep 17 00:00:00 2001 From: Gantigmaa Selenge Date: Tue, 23 Apr 2024 16:18:47 +0100 Subject: [PATCH 06/15] Add an example of rolling restart Signed-off-by: Gantigmaa Selenge --- 06x-new-kafka-roller.md | 98 ++++++++++++++++++++++++++++++++++++++++- 1 file changed, 96 insertions(+), 2 deletions(-) diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md index d0bac560..fa43ce48 100644 --- a/06x-new-kafka-roller.md +++ b/06x-new-kafka-roller.md @@ -111,7 +111,7 @@ Context: { - If the timeout is reached, proceed to the next step and check if any of the nodes need to be restarted. 4. Group the nodes into the following categories based on their state and connectivity: - - `RESTART_FIRST` - Nodes that have `NOT_READY` or `NOT_RUNNING` state in their contexts. The group will also include nodes that we cannot connect to via Admin API. + - `RESTART_FIRST` - Nodes that have `NOT_READY` or `NOT_RUNNING` state in their contexts. The nodes that we cannot connect to via Admin API will also be put into this group with its reason updated with `POD_UNRESPONSIVE`. - `WAIT_FOR_LOG_RECOVERY` - Nodes that have `RECOVERING` state. - `RESTART` - Nodes that have non-empty list of reasons from the predicate function and have not been restarted yet (Context.numRestartAttempts == 0). - `MAYBE_RECONFIGURE` - Broker nodes (including combined nodes) that have an empty list of reasons and not been reconfigured yet (Context.numReconfigAttempts == 0). @@ -127,7 +127,7 @@ Context: { - If all of the nodes are combined and are in `NOT_RUNNING` state, restart them in parallel to give the best chance of forming the quorum. > This is to address the issue described in https://github.com/strimzi/strimzi-kafka-operator/issues/9426. - - If a node is in `NOT_RUNNING` state, the restart it only if it has `POD_HAS_OLD_REVISION` reason. This is because, if the node is not running at all, then restarting it likely won't make any difference unless the node is out of date. + - If a node is in `NOT_RUNNING` state, the restart it only if it has `POD_HAS_OLD_REVISION` or `POD_UNRESPONSIVE` reason. This is because, if the node is not running at all, then restarting it likely won't make any difference unless the node is out of date. > For example, if a pod is in pending state due to misconfigured affinity rule, there is no point restarting this pod again or restarting other pods, because that would leave them in pending state as well. If the user then fixed the misconfigured affinity rule, then we should detect that the pod has an old revision, therefore should restart it so that pod is scheduled correctly and runs. - At this point either we started nodes or decided not to because nodes did not have `POD_HAS_OLD_REVISION` reason. Regardless, wait for nodes to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 2. @@ -202,6 +202,100 @@ The availibility check logic similar to the current KafkaRoller. The ISRs that t However, if `size(ISR containing the broker) - minISR <= 0` but the topic partition is configured with replication size less than minISR, the check will pass to proceed with the broker restart. +#### An example of rolling update + +Here is an example of the new roller performing rolling restarts on a cluster with 12 nodes: 3 controllers, 3 combined nodes and 6 brokers. The nodes are: +- controller-0 +- controller-1 +- controller-2 +- combined-3 +- combined-4 +- combined-5 +- broker-6 +- broker-7 +- broker-8 +- broker-9 +- broker-10 +- broker-11 + +1. The roller observes nodes and update their contexts based on the observation outcome: + +All the nodes except `combined-3` have the following Context with `nodeRef` being their `podname/node-id`, and `nodeRoles` having either `controller`, `broker` or both. +``` + nodeRef: controller-0/0 + nodeRoles: controller + state: SERVING + lastTransition: 0123456 + reason: MANUAL_ROLLING_UPDATE + numRestartAttempts: 0 + numReconfigAttempts: 0 + numRetries: 0 +``` +The `combined-3` node has the following context because it's ready from Kubernetes and KafkaAgent perspective but the operator could not establish an admin connection to it: +``` + nodeRef: combined-3/3 + nodeRoles: controller,broker + state: NOT_RUNNING + lastTransition: 0123456 + reason: POD_UNRESPONSIVE + numRestartAttempts: 0 + numReconfigAttempts: 0 + numRetries: 0 +``` +2. The roller checks if all of the controller nodes are combined and in `NOT_RUNNING` state. Since they are not and it has `POD_UNRESPONSIVE` reason, it restarts `combined-3` node and waits for it to have `SERVING` state. The `combined-3`'s context becomes: +``` + nodeRef: combined-3/3 + nodeRoles: controller,broker + state: RESTARTED + lastTransition: 654987 + reason: POD_UNRESPONSIVE + numRestartAttempts: 1 + numReconfigAttempts: 0 + numRetries: 0 +``` +3. `combined-3` state becomes `SERVING` and since its `numRestartAttempts` is greater than 1, the roller checks the rest of the nodes. +4. The roller checks which node is the active controller and finds that `controller-0` is. It then sends a request to the active controller via AdminClient to describe its `controller.quorum.fetch.timeout` config value. +5. It then considers restarting `controller-1` and checks if the quorum health would be impacted. The operator sends a request to to the active controller to describe the quorum replication state. It finds that majority of the follower controllers have caught up with the quorum leader within the `controller.quorum.fetch.timeout.ms`. +6. The roller restarts `controller-1` as it has no impact on the quorum health. When it has `SERVING` state, the roller repeats the quorum check and restarts `controller-2` and then `controller-0`. +7. It then considers restarting `combined-4`, so it performs quorum healthcheck and then availability check. Both check passes therefore `combined-4` is restarted. The same is repeated for `combined-5`. +8. All controller and combined nodes have `SERVING` state and `numRestartAttempts` set to 1, therefore the roller checks the broker nodes. +9. It sends a request to describe all the topic partitions, and the following list of topics is returned: +``` +topic("topic-A"), Replicas(9, 10, 11), ISR(9, 10) +topic("topic-B"), Replicas(6, 7, 8), ISR(6, 7, 8) +topic("topic-C"), Replicas(10, 8, 6), ISR(10, 8, 6) +topic("topic-D"), Replicas(7, 9, 11), ISR(7, 9, 11) +topic("topic-E"), Replicas(6, 10, 11), ISR(6, 10, 11) +``` +They are configured with `min.insync.replica` of 2. + +10. The roller batches the nodes that do not have any topic partition in common and the following batches are created: +- (11, 8) - `broker-11` and `broker-8` do not share any topic partitions. +- (7) - `broker-7` and `broker-10` do not share any topic partitions, however topic-A is at min ISR, therefore 10 cannot be restarted and is removed from the batch. +- (6) - `broker-6` and `broker-9` do not share any topic partitions, however topic-A is at min ISR, therefore 9 cannot be restarted and is removed from the batch. + +11. The roller picks the largest batch containing `broker-11` and `broker-8` and restarts them. It waits forthe nodes to have `SERVING` and then `LEADING_ALL_PREFERRED` state. +12. It then restarts the batch containing only `broker-7` and restart it. It waits for it to have `SERVING` and then `LEADING_ALL_PREFERRED` state. +13. It then restarts the batch containing only `broker-6` and restart it. It times out waiting for it to have `SERVING` state because it's still performing log recovery. +14. The roller retries waiting for `broker-6` to have `SERVING` state for a number of times and results in the following context: +``` + nodeRef: broker-6/6 + nodeRoles: broker + state: RECOVERING + lastTransition: 987456 + reason: + numRestartAttempts: 1 + numReconfigAttempts: 0 + numRetries: 10 +``` +15. The `max_retries` of 10 is reached for `broker-6`, therefore the roller throws `UnrestartableNodesException` and the reconciliation fails. The operator logs the number of remaining segments and logs to recover. +16. When the next reconciliation starts, all the nodes are observed and their contexts are updated. `broker-6` node has finished performing log recovery therefore have `SERVING` state. All nodes have no reason to restart. +17. Broker nodes are checked if their configurations have been updated. `min.insync.replica` has been updated to 1 therefore the roller sends a request containing the configuration update to the brokers and the transitions nodes' state to `RECONFIGURED`. +18. Observe the broker nodes again, and check if they have `LEADING_ALL_PREFERRED` state. +19. All nodes have `SERVING` or `LEADING_ALL_PREFERRED` and no reason to restart. +20. The reconciliation completes successfully. + + ### Switching from the old KafkaRoller to the new KafkaRoller The new KafkaRoller will only work with KRaft clusters therefore when running in Zookeeper mode, the current KafkaRoller will be used. From 9a777c320c56e3edd473f088a89864fa643ac63a Mon Sep 17 00:00:00 2001 From: Gantigmaa Selenge <39860586+tinaselenge@users.noreply.github.com> Date: Thu, 25 Apr 2024 17:26:16 +0100 Subject: [PATCH 07/15] Update 06x-new-kafka-roller.md Co-authored-by: Maros Orsak Signed-off-by: Gantigmaa Selenge <39860586+tinaselenge@users.noreply.github.com> --- 06x-new-kafka-roller.md | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md index fa43ce48..6f7a8d15 100644 --- a/06x-new-kafka-roller.md +++ b/06x-new-kafka-roller.md @@ -79,13 +79,13 @@ The broker states are defined [here](https://github.com/apache/kafka/blob/58ddd6 ### Configurability The following can be the configuration options for the new KafkaRoller: -| Configuration | Default value | Exposed to user | Description | -| :-------------| :-------------| :---------------| :---------- | -| maxRestartAttempts | 3 | No | The maximum number of times a node can be restarted before failing the reconciliation. This is checked against the node's `numRestartAttempts`.| -| maxReconfigAttempts | 3 | No | The maximum number of times a node can be reconfigured before restarting it. This is checked against the node's `numReconfigAttempts`.| -| maxRetries| 10 | No | The maximum number of times a node can retried after not meeting the safety conditions. This is checked against the node's `numRetries`.| -| postOperationTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for nodes to transition to `SERVING` state after an operation in each retry. This will be based on the operation timeout that is already exposed to the user via environment variable `STRIMZI_OPERATION_TIMEOUT_MS`. | -| maxRestartParallelism | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. | +| Configuration | Default value | Exposed to user | Description | +|:-----------------------|:--------------|:----------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| +| maxRestartAttempts | 3 | No | The maximum number of times a node can be restarted before failing the reconciliation. This is checked against the node's `numRestartAttempts`. | +| maxReconfigAttempts | 3 | No | The maximum number of times a node can be reconfigured before restarting it. This is checked against the node's `numReconfigAttempts`. | +| maxRetries | 10 | No | The maximum number of times a node can retried after not meeting the safety conditions. This is checked against the node's `numRetries`. | +| postOperationTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for nodes to transition to `SERVING` state after an operation in each retry. This will be based on the operation timeout that is already exposed to the user via environment variable `STRIMZI_OPERATION_TIMEOUT_MS`. | +| maxRestartParallelism | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. | ### Algorithm From e56d1f82b3ff548419bcb4c565dfab971a71e770 Mon Sep 17 00:00:00 2001 From: Gantigmaa Selenge Date: Tue, 30 Apr 2024 14:32:34 +0100 Subject: [PATCH 08/15] Address review comments Add possible transitions Signed-off-by: Gantigmaa Selenge --- 06x-new-kafka-roller.md | 148 +++++++++++++++++++++------------------- 1 file changed, 78 insertions(+), 70 deletions(-) diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md index 6f7a8d15..25c85669 100644 --- a/06x-new-kafka-roller.md +++ b/06x-new-kafka-roller.md @@ -19,8 +19,8 @@ A pod is considered stuck if it is in one of following states: ### Known Issues The existing KafkaRoller suffers from the following shortcomings: -- While it is safe and simple to restart one broker at a time, it is slow in large clusters ([related issue](https://github.com/strimzi/strimzi-kafka-operator/issues/8547)). -- It doesn’t worry about partition preferred leadership. This means there can be more leadership changes than necessary during a rolling restart, with consequent impact on tail latency. +- Although it is safe and straightforward to restart one broker at a time, this process is slow in large clusters ([related issue](https://github.com/strimzi/strimzi-kafka-operator/issues/8547)). +- It does not account for partition preferred leadership. As a result, there may be more leadership changes than necessary during a rolling restart, consequently impacting tail latency. - Hard to reason about when things go wrong. The code is complex to understand and it's not easy to determine why a pod was restarted from logs that tend to be noisy. - Potential race condition between Cruise Control rebalance and KafkaRoller that could cause partitions under minimum in sync replica. This issue is described in more detail in the `Future Improvements` section. - The current code for KafkaRoller does not easily allow growth and adding new functionality due to its complexity. @@ -29,9 +29,9 @@ The existing KafkaRoller suffers from the following shortcomings: The following non-trivial fixes and changes are missing from the current KafkaRoller's KRaft implementation: - Currently KafkaRoller has to connect to brokers successfully in order to get KRaft quorum information and determine whether a controller node can be restarted. This is because it was not possible to directly talk to KRaft controllers at the time before [KIP 919](https://cwiki.apache.org/confluence/display/KAFKA/KIP-919%3A+Allow+AdminClient+to+Talk+Directly+with+the+KRaft+Controller+Quorum+and+add+Controller+Registration) was implemented. The issue is raised [here](https://github.com/strimzi/strimzi-kafka-operator/issues/9692). -- KafkaRoller takes a long time to reconcile combined nodes if they are all in `Pending` state. This is because the combined node does not become ready until the quorum is formed and KafkaRoller waits for a pod to become ready before it attempts to restart other nodes. In order for the quorum to form, at least the majority of controller nodes need to be running at the same time. This is not easy to solve in the current KafkaRoller without introducing some major changes because it processes each node individually and there is no mechanism to restart multiple nodes in parallel. More information can be found [here](https://github.com/strimzi/strimzi-kafka-operator/issues/9426). +- KafkaRoller takes a long time to reconcile mixed nodes if they are all in `Pending` state. This is because a mixed node does not become ready until the quorum is formed and KafkaRoller waits for a pod to become ready before it attempts to restart other nodes. In order for the quorum to form, at least the majority of controller nodes need to be running at the same time. This is not easy to solve in the current KafkaRoller without introducing some major changes because it processes each node individually and there is no mechanism to restart multiple nodes in parallel. More information can be found [here](https://github.com/strimzi/strimzi-kafka-operator/issues/9426). -- The quorum health check is based on the `controller.quorum.fetch.timeout.ms` configuration which it reads from the desired configurations passed from the Reconciler. However, `CAReconcilor` and manual rolling update pass null value for desired configurations because in both cases, the nodes don't need reconfigurations. This results in performing the quorum healthcheck based on the hard-coded default value of `controller.quorum.fetch.timeout.ms` rather than the accurate configuration value when doing manual rolling update and rolling nodes for certificate renewal. +- The quorum health check relies on the `controller.quorum.fetch.timeout.ms` configuration, which is determined by the desired configuration values. However, during certificate reconciliation or manual rolling updates, KafkaRoller doesn't have access to these desired configuration values since they shouldn't prompt any configuration changes. As a result, the quorum health check defaults to using the hard-coded default value of `controller.quorum.fetch.timeout.ms` instead of the correct configuration value during manual rolling updates or when rolling nodes for certificate renewal. ## Motivation @@ -48,33 +48,36 @@ The objective of this proposal is to introduce a new KafkaRoller with simplified Depending on the observed states, the roller will perform specific actions. Those actions should cause a subsequent observation to cause a state transition. This iterative process continues until each node's state aligns with the desired state. -It will also introduce an algorithm that can restart brokers in parallel while applying safety conditions that can guarantee Kafka producer availability and causing minimal impact on controllers and overall stability of clusters. +It will also introduce an algorithm that can restart brokers in parallel when safety conditions are not violated. These conditions guarantee Kafka producer availability and cause minimal impact on controllers and overall stability of clusters. ### Node State When a new reconciliation starts up, a context object is created for each node to store the state and other useful information used by the roller. It will have the following fields: - nodeRef: NodeRef object that contains Node ID. - currentNodeRole: Currently assigned process roles for this node (e.g. controller, broker). - - state: It contains the current state of the node based on information collected from the abstracted sources (Kubernetes API, KafkaAgent and Kafka Admin API). The table below describes the possible states. - - reason: It is updated based on the current predicate logic from the Reconciler. For example, an update in the Kafka CR is detected. + - lastKnownState: It contains the last known state of the node based on information collected from the abstracted sources (Kubernetes API, KafkaAgent and Kafka Admin API). The table below describes the possible states. + - restartReason: It is updated based on the current predicate logic from the `Reconciler`. For example, an update in the Kafka CR is detected. - numRestartAttempts: The value is incremented each time the node has been attempted to restart. - numReconfigAttempts: The value is incremented each time the node has been attempted to reconfigure. - numRetries: The value is incremented each time the node cannot be restarted/reconfigured due to not meeting safety conditions (more on this later). - - lastTransitionTime: System.currentTimeMillis of last observed state transition. + - lastTransitionTime: System.nanoTime of last observed state transition. States - | State | Description | - | :-------------------- | :---------- | - | UNKNOWN | The initial state when creating `Context` for a node. We expect to transition from this state fairly quickly after creating the context for nodes. | - | NOT_RUNNING | Node is not running (Kafka process is not running) | - | NOT_READY | Node is running but not ready to serve requests (broker state < 2 OR == 127) | - | RESTARTED | After successful `kubectl delete pod`. | - | RECONFIGURED | After successful Kafka node config update via Admin client. | - | RECOVERING | Node has started but is in log recovery (broker state == 2). | - | SERVING | Node is in running state and ready to serve requests (broker state >= 3 AND != 127). | - | LEADING_ALL_PREFERRED | Node is in running state and leading all preferred replicas. | - -The broker states are defined [here](https://github.com/apache/kafka/blob/58ddd693e69599b177d09c2e384f31e7f5e11171/metadata/src/main/java/org/apache/kafka/metadata/BrokerState.java#L46). + The following table illustrates the proposed node states and the possible transitions: + | State | Description | Possible transitions | + | :--------------- | :--------------- | :----------- | + | UNKNOWN | The initial state when creating `Context` for a node. We expect to transition from this state fairly quickly after creating the context for nodes. | `NOT_RUNNING` `NOT_READY` `RECOVERING` `SERVING` | + | NOT_RUNNING | Node is not running (Kafka process is not running). | `RESTARTED` `SERVING` | + | NOT_READY | Node is running but not ready to serve requests which is determined by Kubernetes readiness probe (broker state < 2 OR == 127 OR controller is not listening on port). | `RESTARTED` `SERVING` | + | RESTARTED | After successful `kubectl delete pod`. | `NOT_RUNNING` `NOT_READY` `RECOVERING` `SERVING` | + | RECONFIGURED | After successful Kafka node config update via Admin client. | `NOT_RUNNING` `NOT_READY` `RESTARTED` `SERVING` | + | RECOVERING | Node has started but is in log recovery (broker state == 2). | `SERVING` | + | SERVING | Node is in running state and ready to serve requests which is determined by Kubernetes readiness probe (broker state >= 3 AND != 127 OR controller is listening on port). | `RESTARTED` `RECONFIGURED` `LEADING_ALL_PREFERRED` | + | LEADING_ALL_PREFERRED | Node is in running state and leading all preferred replicas. | None + +The definitions of broker states can be found via the following link: [Broker States](https://github.com/apache/kafka/blob/3.7/metadata/src/main/java/org/apache/kafka/metadata/BrokerState.java). + +The definitions of the possible restart reasons can be found via the following link: [Restart Reasons](https://github.com/strimzi/strimzi-kafka-operator/blob/main/cluster-operator/src/main/java/io/strimzi/operator/cluster/model/RestartReasons.java) ### Configurability The following can be the configuration options for the new KafkaRoller: @@ -83,7 +86,7 @@ The following can be the configuration options for the new KafkaRoller: |:-----------------------|:--------------|:----------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | maxRestartAttempts | 3 | No | The maximum number of times a node can be restarted before failing the reconciliation. This is checked against the node's `numRestartAttempts`. | | maxReconfigAttempts | 3 | No | The maximum number of times a node can be reconfigured before restarting it. This is checked against the node's `numReconfigAttempts`. | -| maxRetries | 10 | No | The maximum number of times a node can retried after not meeting the safety conditions. This is checked against the node's `numRetries`. | +| maxRetries | 10 | No | The maximum number of times a node can be retried after not meeting the safety conditions. This is checked against the node's `numRetries`. | | postOperationTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for nodes to transition to `SERVING` state after an operation in each retry. This will be based on the operation timeout that is already exposed to the user via environment variable `STRIMZI_OPERATION_TIMEOUT_MS`. | | maxRestartParallelism | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. | @@ -102,11 +105,13 @@ Context: { numReconfigAttempts: 0 numRetries: 0 } -``` -2. Observe and transition each node's state to the corresponding state based on the information collected from the abstracted sources. +``` +Contexts are recreated in each reconciliation with the initial data above. + +2. Observe and transition each node's state to the corresponding state based on the information collected from the abstracted sources. If it can't retrieve any information from the sources, the reconciliation fails and the next reconciliation would start from step 1. 3. If there are nodes in `NOT_READY` state, wait for them to have `SERVING` within the `postOperationalTimeoutMs`. - We want to give nodes chance to get ready before we try to connect to the or consider them for rolling. This is important especially for nodes which were just started. + We want to give nodes chance to get ready before we try to connect to them or consider them for rolling. This is important especially for nodes which were just started. This is consistent with how the current roller handles unready nodes. - If the timeout is reached, proceed to the next step and check if any of the nodes need to be restarted. @@ -114,7 +119,7 @@ Context: { - `RESTART_FIRST` - Nodes that have `NOT_READY` or `NOT_RUNNING` state in their contexts. The nodes that we cannot connect to via Admin API will also be put into this group with its reason updated with `POD_UNRESPONSIVE`. - `WAIT_FOR_LOG_RECOVERY` - Nodes that have `RECOVERING` state. - `RESTART` - Nodes that have non-empty list of reasons from the predicate function and have not been restarted yet (Context.numRestartAttempts == 0). - - `MAYBE_RECONFIGURE` - Broker nodes (including combined nodes) that have an empty list of reasons and not been reconfigured yet (Context.numReconfigAttempts == 0). + - `MAYBE_RECONFIGURE` - Broker nodes (including mixed nodes) that have an empty list of reasons and not been reconfigured yet (Context.numReconfigAttempts == 0). - `NOP` - Nodes that have at least one restart or reconfiguration attempt (Context.numRestartAttempts > 0 || Context.numReconfigAttempts > 0 ) and have either `LEADING_ALL_PREFERRED` or `SERVING` state. @@ -124,7 +129,7 @@ Context: { 6. Restart nodes in `RESTART_FIRST` category: - if one or more nodes have `NOT_RUNNING` state, we first need to check 2 special conditions: - - If all of the nodes are combined and are in `NOT_RUNNING` state, restart them in parallel to give the best chance of forming the quorum. + - If all of the nodes are mixed and are in `NOT_RUNNING` state, restart them in parallel to give the best chance of forming the quorum. > This is to address the issue described in https://github.com/strimzi/strimzi-kafka-operator/issues/9426. - If a node is in `NOT_RUNNING` state, the restart it only if it has `POD_HAS_OLD_REVISION` or `POD_UNRESPONSIVE` reason. This is because, if the node is not running at all, then restarting it likely won't make any difference unless the node is out of date. @@ -135,7 +140,7 @@ Context: { - Otherwise the nodes will be attempted to restart one by one in the following order: - Pure controller nodes - - Combined nodes + - Mixed nodes - Broker only nodes - Wait for the restarted node to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 2. @@ -162,17 +167,19 @@ Context: { 10. Otherwise, batch nodes in `RESTART` group and get the next batch to restart: - Further categorize nodes based on their roles so that the following restart order can be enforced: 1. `NON_ACTIVE_CONTROLLER` - Pure controller that is not the active controller - 2. `ACTIVE_CONTROLLER` - Pure controller that is the active controller (the quorum leader) - 3. `COMBINED_AND_NOT_ACTIVE_CONTROLLER` - Combined node (both controller and broker) and is not the active controller - 4. `COMBINED_AND_ACTIVE_CONTROLLER` - Combined node (both controller and broker) and is the active controller (the quorum leader) + 2. `MIXED_AND_NOT_ACTIVE_CONTROLLER` - Mixed node (both controller and broker) and is not the active controller + 3. `ACTIVE_CONTROLLER` - Pure controller that is the active controller (the quorum leader) + 4. `MIXED_AND_ACTIVE_CONTROLLER` - Mixed node (both controller and broker) and is the active controller (the quorum leader) 5. `BROKER` - Pure broker + + We expect only one of `ACTIVE_CONTROLLER` and `MIXED_AND_ACTIVE_CONTROLLER` categories to be non-empty as there is only one active controller. > The batch returned will comprise only one node for all groups except 'BROKER', ensuring that controllers are restarted sequentially. This approach is taken to mitigate the risk of losing quorum when restarting multiple controller nodes simultaneously. A failure to establish quorum due to unhealthy controller nodes directly impacts the brokers and consequently the availability of the cluster. However, restarting broker nodes can be executed without affecting availability. If concurrently restarting brokers do not share any topic partitions, the in-sync replicas (ISRs) of topic partitions will lose no more than one replica, thus preserving availability. - If `NON_ACTIVE_PURE_CONTROLLER` group is non empty, return the first node that can be restarted without impacting the quorum health (more on this later). + - If `MIXED_AND_NOT_ACTIVE_CONTROLLER` group is non empty, return the first node that can be restarted without impacting the quorum health and the availability. - If `ACTIVE_PURE_CONTROLLER` group is non empty, return the node if it can be restarted without impacting the quorum health. Otherwise return an empty set. - - If `COMBINED_AND_NOT_ACTIVE_CONTROLLER` group is non empty, return the first node that can be restarted without impacting the quorum health and the availability. - - If `COMBINED_AND_ACTIVE_CONTROLLER` group is non empty, return the node if it can be restarted without impacting the quorum health and the availability. Otherwise return an empty set. + - If `MIXED_AND_ACTIVE_CONTROLLER` group is non empty, return the node if it can be restarted without impacting the quorum health and the availability. Otherwise return an empty set. - If `BROKER` group is non empty, batch the broker nodes: - build a map of nodes and their replicating partitions by sending describeTopics request to Admin API - batch the nodes that do not have any partitions in common therefore can be restarted together @@ -188,7 +195,9 @@ Context: { - After all the nodes are in `SERVING` state, trigger preferred leader elections via Admin client. Wait for their states to become `LEADING_ALL_PREFERRED` until the configured `postOperationalTimeoutMs` is reached. If the timeout is reached, log a `WARN` message. -12. If there are no exceptions thrown at this point, the reconciliation completes successfully. If there were `UnrestartableNodesException`, `TimeoutException`, `MaxRestartsExceededException` or any other unexpected exceptions throws, the reconciliation fails. +12. If there are no exceptions thrown at this point, the reconciliation completes successfully. If there were `UnrestartableNodesException`, `TimeoutException`, `MaxRestartsExceededException` or any other unexpected exceptions throws, the reconciliation fails. + +13. When the reconciliation completes either successfully or unsuccessfully, the next reconciliation will start from step 1 of this algorithm. #### Quorum health check @@ -200,17 +209,17 @@ Also the current KafkaRoller does not connect to the controller via Admin API to The availibility check logic similar to the current KafkaRoller. The ISRs that the broker is part of is checked against the configured under minimum ISR size. If `size(ISR containing the broker) - minISR > 0`, the broker can be considered safe to restart. If it equals to 0, restarting the broker could cause under minimum ISR partition. If it's less than 0, it means the partition is already under minimum ISR and restarting it would either not make a difference or make things worse. In both cases, the broker should not be restarted. -However, if `size(ISR containing the broker) - minISR <= 0` but the topic partition is configured with replication size less than minISR, the check will pass to proceed with the broker restart. +However, if `size(Replicas containing the broker) - minISR <= 0` but the topic partition is configured with replication size less than minISR, the check will pass to proceed with the broker restart. #### An example of rolling update -Here is an example of the new roller performing rolling restarts on a cluster with 12 nodes: 3 controllers, 3 combined nodes and 6 brokers. The nodes are: +Here is an example of the new roller performing rolling restarts on a cluster with 12 nodes: 3 controllers, 3 mixed nodes and 6 brokers. The nodes are: - controller-0 - controller-1 - controller-2 -- combined-3 -- combined-4 -- combined-5 +- mixed-3 +- mixed-4 +- mixed-5 - broker-6 - broker-7 - broker-8 @@ -220,7 +229,7 @@ Here is an example of the new roller performing rolling restarts on a cluster wi 1. The roller observes nodes and update their contexts based on the observation outcome: -All the nodes except `combined-3` have the following Context with `nodeRef` being their `podname/node-id`, and `nodeRoles` having either `controller`, `broker` or both. +All the nodes except `mixed-3` have the following Context with `nodeRef` being their `podname/node-id`, and `nodeRoles` having either `controller`, `broker` or both. ``` nodeRef: controller-0/0 nodeRoles: controller @@ -231,9 +240,9 @@ All the nodes except `combined-3` have the following Context with `nodeRef` bein numReconfigAttempts: 0 numRetries: 0 ``` -The `combined-3` node has the following context because it's ready from Kubernetes and KafkaAgent perspective but the operator could not establish an admin connection to it: +The `mixed-3` node has the following context because the operator could not establish an admin connection to it even though it's ready from Kubernetes and KafkaAgent perspective: ``` - nodeRef: combined-3/3 + nodeRef: mixed-3/3 nodeRoles: controller,broker state: NOT_RUNNING lastTransition: 0123456 @@ -242,9 +251,9 @@ The `combined-3` node has the following context because it's ready from Kubernet numReconfigAttempts: 0 numRetries: 0 ``` -2. The roller checks if all of the controller nodes are combined and in `NOT_RUNNING` state. Since they are not and it has `POD_UNRESPONSIVE` reason, it restarts `combined-3` node and waits for it to have `SERVING` state. The `combined-3`'s context becomes: +2. The roller checks if all of the controller nodes are mixed and in `NOT_RUNNING` state. Since they are not and it has `POD_UNRESPONSIVE` reason, it restarts `mixed-3` node and waits for it to have `SERVING` state. The `mixed-3`'s context becomes: ``` - nodeRef: combined-3/3 + nodeRef: mixed-3/3 nodeRoles: controller,broker state: RESTARTED lastTransition: 654987 @@ -253,30 +262,29 @@ The `combined-3` node has the following context because it's ready from Kubernet numReconfigAttempts: 0 numRetries: 0 ``` -3. `combined-3` state becomes `SERVING` and since its `numRestartAttempts` is greater than 1, the roller checks the rest of the nodes. +3. `mixed-3` state becomes `SERVING` and since its `numRestartAttempts` is greater than 1, the roller checks the rest of the nodes. 4. The roller checks which node is the active controller and finds that `controller-0` is. It then sends a request to the active controller via AdminClient to describe its `controller.quorum.fetch.timeout` config value. -5. It then considers restarting `controller-1` and checks if the quorum health would be impacted. The operator sends a request to to the active controller to describe the quorum replication state. It finds that majority of the follower controllers have caught up with the quorum leader within the `controller.quorum.fetch.timeout.ms`. +5. It then considers restarting `controller-1` and checks if the quorum health would be impacted. The operator sends a request to the active controller to describe the quorum replication state. It finds that majority of the follower controllers have caught up with the quorum leader within the `controller.quorum.fetch.timeout.ms`. 6. The roller restarts `controller-1` as it has no impact on the quorum health. When it has `SERVING` state, the roller repeats the quorum check and restarts `controller-2` and then `controller-0`. -7. It then considers restarting `combined-4`, so it performs quorum healthcheck and then availability check. Both check passes therefore `combined-4` is restarted. The same is repeated for `combined-5`. -8. All controller and combined nodes have `SERVING` state and `numRestartAttempts` set to 1, therefore the roller checks the broker nodes. -9. It sends a request to describe all the topic partitions, and the following list of topics is returned: +7. It then considers restarting `mixed-4`, so it performs quorum healthcheck and then availability check. Both check passes therefore `mixed-4` is restarted. The same is repeated for `mixed-5`. +8. All the controller and mixed nodes have `SERVING` state and `numRestartAttempts` set to greater than 1. This means, they have been successfuly restarted, therefore the roller considers restarting the broker nodes. +9. It sends requests to describe all the topic partitions and their `min.insync.replicas` configuration, and the following list of topics is returned: ``` -topic("topic-A"), Replicas(9, 10, 11), ISR(9, 10) -topic("topic-B"), Replicas(6, 7, 8), ISR(6, 7, 8) -topic("topic-C"), Replicas(10, 8, 6), ISR(10, 8, 6) -topic("topic-D"), Replicas(7, 9, 11), ISR(7, 9, 11) -topic("topic-E"), Replicas(6, 10, 11), ISR(6, 10, 11) +topic("topic-A"), Replicas(9, 10, 11), ISR(9, 10), MinISR(2) +topic("topic-B"), Replicas(6, 7, 8), ISR(6, 7, 8), MinISR(2) +topic("topic-C"), Replicas(10, 8, 6), ISR(10, 8, 6), MinISR(2) +topic("topic-D"), Replicas(7, 9, 11), ISR(7, 9, 11), MinISR(2) +topic("topic-E"), Replicas(6, 10, 11), ISR(6, 10, 11), MinISR(2) ``` -They are configured with `min.insync.replica` of 2. 10. The roller batches the nodes that do not have any topic partition in common and the following batches are created: - (11, 8) - `broker-11` and `broker-8` do not share any topic partitions. - (7) - `broker-7` and `broker-10` do not share any topic partitions, however topic-A is at min ISR, therefore 10 cannot be restarted and is removed from the batch. - (6) - `broker-6` and `broker-9` do not share any topic partitions, however topic-A is at min ISR, therefore 9 cannot be restarted and is removed from the batch. -11. The roller picks the largest batch containing `broker-11` and `broker-8` and restarts them. It waits forthe nodes to have `SERVING` and then `LEADING_ALL_PREFERRED` state. -12. It then restarts the batch containing only `broker-7` and restart it. It waits for it to have `SERVING` and then `LEADING_ALL_PREFERRED` state. -13. It then restarts the batch containing only `broker-6` and restart it. It times out waiting for it to have `SERVING` state because it's still performing log recovery. +11. The roller picks the largest batch containing `broker-11` and `broker-8` and restarts them together. It waits for the nodes to have `SERVING` and then `LEADING_ALL_PREFERRED` state. +12. It then restarts the batch containing only `broker-7`. It waits for it to have `SERVING` and then `LEADING_ALL_PREFERRED` state. +13. It then restarts the batch containing only `broker-6`. It times out waiting for it to have `SERVING` state because it's still performing log recovery. 14. The roller retries waiting for `broker-6` to have `SERVING` state for a number of times and results in the following context: ``` nodeRef: broker-6/6 @@ -288,24 +296,24 @@ They are configured with `min.insync.replica` of 2. numReconfigAttempts: 0 numRetries: 10 ``` -15. The `max_retries` of 10 is reached for `broker-6`, therefore the roller throws `UnrestartableNodesException` and the reconciliation fails. The operator logs the number of remaining segments and logs to recover. -16. When the next reconciliation starts, all the nodes are observed and their contexts are updated. `broker-6` node has finished performing log recovery therefore have `SERVING` state. All nodes have no reason to restart. -17. Broker nodes are checked if their configurations have been updated. `min.insync.replica` has been updated to 1 therefore the roller sends a request containing the configuration update to the brokers and the transitions nodes' state to `RECONFIGURED`. -18. Observe the broker nodes again, and check if they have `LEADING_ALL_PREFERRED` state. -19. All nodes have `SERVING` or `LEADING_ALL_PREFERRED` and no reason to restart. -20. The reconciliation completes successfully. - +15. The `maxRetries` of 10 is reached for `broker-6`, therefore the roller throws `UnrestartableNodesException` and the reconciliation fails. The operator logs the number of remaining segments and logs to recover. +16. When the next reconciliation starts, all the nodes are observed and their contexts are updated. `broker-6` node has finished performing log recovery therefore have `SERVING` state. All nodes have `SERVING` state and no reason to restart except `broker-9` and `broker-10`. +17. Broker nodes that have no reason to restart are checked if their configurations have been updated. The `min.insync.replicas` has been updated to 1 therefore the roller sends a request containing the configuration update to the brokers and then transitions nodes' state to `RECONFIGURED`. +18. Observe the broker nodes that have configuration updated, and wait until they have `LEADING_ALL_PREFERRED` state. +19. The roller considers restarting `broker-10` and `broker-9` as they still have `MANUAL_ROLLING_UPDATE` reason. +20. It sends requests to describe all the topic partitions and their `min.insync.replicas` configuration and finds that all topic partitions are fully replicated. +21. The roller create 2 batches with a single node in each because `broker-10` and `broker-9` share topic partition, "topic-A": +22. It then restarts the batch containing `broker-10`. It waits for it to have `SERVING` and then `LEADING_ALL_PREFERRED` state. The same is repeated for the batch containing `broker-9`. +23. All nodes have `SERVING` or `LEADING_ALL_PREFERRED` and no exception was thrown therefore the reconciliation completes successfully. ### Switching from the old KafkaRoller to the new KafkaRoller -The new KafkaRoller will only work with KRaft clusters therefore when running in Zookeeper mode, the current KafkaRoller will be used. - -Kafka CR's `KafkaMetadataState` represents where the metadata is stored for the cluster. It is set to `KRaft` when a cluster is fully migrated to KRaft or was created in KRaft mode. KafkaReconciler will be updated to switch to the new roller based on this state. This means the old KafkaRoller will be used during migration of existing clusters from Zookeeper to KRaft mode and the new roller is used only after the migration is completed and for new clusters created in KRaft mode. +The new KafkaRoller will only work with KRaft clusters therefore when running in Zookeeper mode, the current KafkaRoller will be used. Kafka CR's `KafkaMetadataState` represents where the metadata is stored for the cluster. It is set to `KRaft` when a cluster is fully migrated to KRaft or was created in KRaft mode. `KafkaReconciler` will be updated to switch to the new roller based on this state. This means the old KafkaRoller will be used during migration of existing clusters from Zookeeper to KRaft mode and the new roller is used only after the migration is completed and for new clusters created in KRaft mode. ### Future improvement -- We are not looking to solve the potential race condition between KafkaRoller and Cruise Control rebalance activity right away but this is something we can solve in the future. An example scenario that cause this race: - Let's say we have 5 brokers cluster, minimum in sync replica for topic partition foo-0 is set to 2. The possible sequence of events that could happen: +- We are not looking to solve the potential race condition between KafkaRoller and Cruise Control rebalance activity right away but this is something we can solve in the future. An example scenario that could cause this race: + Let's say we have a 5 brokers cluster, `min.insync.replicas` for topic partition foo-0 is set to 2. The possible sequence of events that could happen is: - Broker 0 is down due to an issue and the ISR of foo-0 partition changes from [0, 1, 2] to [1 , 2]. In this case producers with acks-all still can produce to this partition. - Cruise Control sends `addingReplicas` request to reassign partition foo-0 to broker 4 instead of broker 2 in order to achieve its configured goal. - The reassignment request is processed and foo-0 partition now has ISR [1, 2, 4]. @@ -318,7 +326,7 @@ Kafka CR's `KafkaMetadataState` represents where the metadata is stored for the ## Affected/not affected projects This proposal affects only -the [`strimzi-Kafka-operator` GitHub repository](https://github.com/strimzi/strimzi-Kafka-operator). +the [`strimzi-kafka-operator` GitHub repository](https://github.com/strimzi/strimzi-kafka-operator). ## Compatibility From 6842473f150b25060912b92ff54e1b1dbc759792 Mon Sep 17 00:00:00 2001 From: Gantigmaa Selenge Date: Fri, 10 May 2024 14:55:43 +0100 Subject: [PATCH 09/15] Addressed review comments Added flow diagram for state transitions Signed-off-by: Gantigmaa Selenge --- 06x-new-kafka-roller.md | 41 +++++++++++++++++++++------------ images/06x-new-roller-flow.png | Bin 0 -> 47499 bytes 2 files changed, 26 insertions(+), 15 deletions(-) create mode 100644 images/06x-new-roller-flow.png diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md index 25c85669..115489d6 100644 --- a/06x-new-kafka-roller.md +++ b/06x-new-kafka-roller.md @@ -62,12 +62,11 @@ When a new reconciliation starts up, a context object is created for each node t - numRetries: The value is incremented each time the node cannot be restarted/reconfigured due to not meeting safety conditions (more on this later). - lastTransitionTime: System.nanoTime of last observed state transition. - States The following table illustrates the proposed node states and the possible transitions: | State | Description | Possible transitions | | :--------------- | :--------------- | :----------- | | UNKNOWN | The initial state when creating `Context` for a node. We expect to transition from this state fairly quickly after creating the context for nodes. | `NOT_RUNNING` `NOT_READY` `RECOVERING` `SERVING` | - | NOT_RUNNING | Node is not running (Kafka process is not running). | `RESTARTED` `SERVING` | + | NOT_RUNNING | Node is not running (Kafka process is not running). This is determined via Kubernetes API, more details for it below. | `NOT_READY`, `NOT_RUNNING`. | `RESTARTED` `SERVING` | | NOT_READY | Node is running but not ready to serve requests which is determined by Kubernetes readiness probe (broker state < 2 OR == 127 OR controller is not listening on port). | `RESTARTED` `SERVING` | | RESTARTED | After successful `kubectl delete pod`. | `NOT_RUNNING` `NOT_READY` `RECOVERING` `SERVING` | | RECONFIGURED | After successful Kafka node config update via Admin client. | `NOT_RUNNING` `NOT_READY` `RESTARTED` `SERVING` | @@ -77,7 +76,20 @@ When a new reconciliation starts up, a context object is created for each node t The definitions of broker states can be found via the following link: [Broker States](https://github.com/apache/kafka/blob/3.7/metadata/src/main/java/org/apache/kafka/metadata/BrokerState.java). -The definitions of the possible restart reasons can be found via the following link: [Restart Reasons](https://github.com/strimzi/strimzi-kafka-operator/blob/main/cluster-operator/src/main/java/io/strimzi/operator/cluster/model/RestartReasons.java) +The definitions of the possible restart reasons can be found via the following link: [Restart Reasons](https://github.com/strimzi/strimzi-kafka-operator/blob/0.40.0/cluster-operator/src/main/java/io/strimzi/operator/cluster/model/RestartReason.java) + +#### NOT_RUNNING state + +If one of the following is true, then node's state is `NOT_RUNNING: +- no pod exists for this node +- unable to get the `Pod Status` for the pod +- the pod has `Pending` status with `Unschedulable` reason +- the pod has container status `ContainerStateWaiting` with `CrashLoopBackOff` or `ImagePullBackOff` reason +If none of the above is true but the node is not ready, then its state would be `NOT_READY`. + +#### Flow diagram describing the overall flow of the states +![The new roller flow](./images/06x-new-roller-flow.png) + ### Configurability The following can be the configuration options for the new KafkaRoller: @@ -90,7 +102,6 @@ The following can be the configuration options for the new KafkaRoller: | postOperationTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for nodes to transition to `SERVING` state after an operation in each retry. This will be based on the operation timeout that is already exposed to the user via environment variable `STRIMZI_OPERATION_TIMEOUT_MS`. | | maxRestartParallelism | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. | - ### Algorithm 1. Initialise a context object for each node with the following data: @@ -110,7 +121,7 @@ Contexts are recreated in each reconciliation with the initial data above. 2. Observe and transition each node's state to the corresponding state based on the information collected from the abstracted sources. If it can't retrieve any information from the sources, the reconciliation fails and the next reconciliation would start from step 1. -3. If there are nodes in `NOT_READY` state, wait for them to have `SERVING` within the `postOperationalTimeoutMs`. +3. If there are nodes in `NOT_READY` state, wait for them to have `SERVING` within the `postOperationTimeoutMs`. We want to give nodes chance to get ready before we try to connect to them or consider them for rolling. This is important especially for nodes which were just started. This is consistent with how the current roller handles unready nodes. - If the timeout is reached, proceed to the next step and check if any of the nodes need to be restarted. @@ -124,7 +135,7 @@ Contexts are recreated in each reconciliation with the initial data above. `LEADING_ALL_PREFERRED` or `SERVING` state. 5. Wait for nodes in `WAIT_FOR_LOG_RECOVERY` group to finish performing log recovery. - - Wait for nodes to have `SERVING` within the `postOperationalTimeoutMs`. + - Wait for nodes to have `SERVING` within the `postOperationTimeoutMs`. - If the timeout is reached for a node and its `numRetries` is greater than or equal to `maxRetries`, throw `UnrestartableNodesException` with the log recovery progress (number of remaining logs and segments). Otherwise increment node's `numRetries` and repeat from step 2. 6. Restart nodes in `RESTART_FIRST` category: @@ -135,7 +146,7 @@ Contexts are recreated in each reconciliation with the initial data above. - If a node is in `NOT_RUNNING` state, the restart it only if it has `POD_HAS_OLD_REVISION` or `POD_UNRESPONSIVE` reason. This is because, if the node is not running at all, then restarting it likely won't make any difference unless the node is out of date. > For example, if a pod is in pending state due to misconfigured affinity rule, there is no point restarting this pod again or restarting other pods, because that would leave them in pending state as well. If the user then fixed the misconfigured affinity rule, then we should detect that the pod has an old revision, therefore should restart it so that pod is scheduled correctly and runs. - - At this point either we started nodes or decided not to because nodes did not have `POD_HAS_OLD_REVISION` reason. Regardless, wait for nodes to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 2. + - At this point either we started nodes or decided not to because nodes did not have `POD_HAS_OLD_REVISION` reason. Regardless, wait for nodes to have `SERVING` within `postOperationTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 2. - Otherwise the nodes will be attempted to restart one by one in the following order: @@ -143,7 +154,7 @@ Contexts are recreated in each reconciliation with the initial data above. - Mixed nodes - Broker only nodes - - Wait for the restarted node to have `SERVING` within `postOperationalTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 2. + - Wait for the restarted node to have `SERVING` within `postOperationTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 2. 7. Further refine the broker nodes in `MAYBE_RECONFIGURE` group: - Describe Kafka configurations for each node via Admin API and compare them against the desired configurations. This is essentially the same mechanism we use today for the current KafkaRoller. @@ -155,11 +166,11 @@ Contexts are recreated in each reconciliation with the initial data above. - If `numReconfigAttempts` of a node is greater than the configured `maxReconfigAttempts`, add a restart reason to its context and repeat from step 2. Otherwise continue. - Send `incrementalAlterConfig` request with its config updates. - Transitions the node's state to `RECONFIGURED` and increment its `numReconfigAttempts`. - - Wait for each node that got configurations updated until they have `LEADING_ALL_PREFERRED` within the `postOperationalTimeoutMs`. - - If the `postOperationalTimeoutMs` is reached, repeat from step 2. + - Wait for each node that got configurations updated until they have `LEADING_ALL_PREFERRED` within the `postOperationTimeoutMs`. + - If the `postOperationTimeoutMs` is reached, repeat from step 2. 9. If at this point, the `RESTART` group is empty and if there is no nodes that is in `NOT_READY` state, the reconciliation will be completed successfully. - - If there are nodes in `NOT_READY` state, wait for them to have `SERVING` within the `postOperationalTimeoutMs`. + - If there are nodes in `NOT_READY` state, wait for them to have `SERVING` within the `postOperationTimeoutMs`. - If the timeout is reached for a node and its `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. - Otherwise increment node's `numRetries` and repeat from step 2. This is consistent with how the current roller handles unready nodes. @@ -176,9 +187,9 @@ Contexts are recreated in each reconciliation with the initial data above. > The batch returned will comprise only one node for all groups except 'BROKER', ensuring that controllers are restarted sequentially. This approach is taken to mitigate the risk of losing quorum when restarting multiple controller nodes simultaneously. A failure to establish quorum due to unhealthy controller nodes directly impacts the brokers and consequently the availability of the cluster. However, restarting broker nodes can be executed without affecting availability. If concurrently restarting brokers do not share any topic partitions, the in-sync replicas (ISRs) of topic partitions will lose no more than one replica, thus preserving availability. - - If `NON_ACTIVE_PURE_CONTROLLER` group is non empty, return the first node that can be restarted without impacting the quorum health (more on this later). + - If `NON_ACTIVE_CONTROLLER` group is non empty, return the first node that can be restarted without impacting the quorum health (more on this later). - If `MIXED_AND_NOT_ACTIVE_CONTROLLER` group is non empty, return the first node that can be restarted without impacting the quorum health and the availability. - - If `ACTIVE_PURE_CONTROLLER` group is non empty, return the node if it can be restarted without impacting the quorum health. Otherwise return an empty set. + - If `ACTIVE_CONTROLLER` group is non empty, return the node if it can be restarted without impacting the quorum health. Otherwise return an empty set. - If `MIXED_AND_ACTIVE_CONTROLLER` group is non empty, return the node if it can be restarted without impacting the quorum health and the availability. Otherwise return an empty set. - If `BROKER` group is non empty, batch the broker nodes: - build a map of nodes and their replicating partitions by sending describeTopics request to Admin API @@ -190,9 +201,9 @@ Contexts are recreated in each reconciliation with the initial data above. 11. Restart the nodes from the returned batch in parallel: - If `numRestartAttempts` of a node is larger than `maxRestartAttempts`, throw `MaxRestartsExceededException`. - Otherwise, restart each node and transition its state to `RESTARTED` and increment its `numRestartAttempts`. - - After restarting all the nodes in the batch, wait for their states to become `SERVING` until the configured `postOperationalTimeoutMs` is reached. + - After restarting all the nodes in the batch, wait for their states to become `SERVING` until the configured `postOperationTimeoutMs` is reached. - If the timeout is reached, throw `TimeoutException`. If a node's `numRetries` is greater than or equal to `maxRetries`. Otherwise increment their `numRetries` and repeat from step 2. - - After all the nodes are in `SERVING` state, trigger preferred leader elections via Admin client. Wait for their states to become `LEADING_ALL_PREFERRED` until the configured `postOperationalTimeoutMs` is reached. If the timeout is reached, log a `WARN` message. + - After all the nodes are in `SERVING` state, trigger preferred leader elections via Admin client. Wait for their states to become `LEADING_ALL_PREFERRED` until the configured `postOperationTimeoutMs` is reached. If the timeout is reached, log a `WARN` message. 12. If there are no exceptions thrown at this point, the reconciliation completes successfully. 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zpm=r%$IIG*F!+z*{(?_LTZ&Zt3>pgxE~>fQl#?hK8JV>M5P~wI{6(oGSBlK9&pJx~ z`1upkf+ejwlfXK*I9fNV@c25On%FZ2p3U>;b!xrff^XfTv3iJ~9}`Q;;TpsS-qmwZfQWD(@L zMJVp()YSNVbc+OIJh<9n_~L8Q-b?bIJ9i`C727wtX%evuj3{s>uU$R!6XyYIDdwGl zvP!y&jU<*to|j5eoDa5E@Jd#L-x5d`@YrD7Fz|7=KY-uts8eoPnmrsmd-yR}+&fJQ z+^gEJ_uVpx&t04`zlk>@#KG_A=~sI0Xo3BvX8p%aD7bFF*~u4rfZ)M$Y1w%`Y5zH7 zQ>I?*)&z^NgS~yN16nP!lGK`a>$9oOwTNO3_L@w`lc@UF>6gh62n3rzH~i~Q wP9+Kdr3H|JPYz+7_J6 Date: Thu, 6 Jun 2024 10:02:44 +0100 Subject: [PATCH 10/15] Address some of the review comments from Jakub and Paolo Signed-off-by: Gantigmaa Selenge --- 06x-new-kafka-roller.md | 117 ++++++++++++++++++++-------------------- 1 file changed, 60 insertions(+), 57 deletions(-) diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md index 115489d6..b5802296 100644 --- a/06x-new-kafka-roller.md +++ b/06x-new-kafka-roller.md @@ -4,10 +4,10 @@ The Kafka Roller is an internal Cluster Operator component that's responsible for coordinating the rolling restart or reconfiguration of Kafka pods when: - non-dynamic reconfigurations needs to be applied -- update in Kafka CRD is detected -- a certificate is renewed -- pods have been manually annotated by the user for controlled restarts -- pod is stuck and is out of date +- update in Kafka CR is detected +- a TLS certificate is renewed +- pods have been [manually annotated](https://strimzi.io/docs/operators/latest/full/deploying#rolling_pods_manually_alternative_to_drain_cleaner) by the user for controlled restarts +- pod is stuck and has a pending update (e.g. not running with the desired version or configuration) - Kafka broker is unresponsive to Kafka Admin connections A pod is considered stuck if it is in one of following states: @@ -20,15 +20,13 @@ A pod is considered stuck if it is in one of following states: The existing KafkaRoller suffers from the following shortcomings: - Although it is safe and straightforward to restart one broker at a time, this process is slow in large clusters ([related issue](https://github.com/strimzi/strimzi-kafka-operator/issues/8547)). -- It does not account for partition preferred leadership. As a result, there may be more leadership changes than necessary during a rolling restart, consequently impacting tail latency. +- It does not account for partition preferred leadership. As a result, there may be more leadership changes than necessary during a rolling restart, consequently impacting clients because they would need to reconnect everytime. - Hard to reason about when things go wrong. The code is complex to understand and it's not easy to determine why a pod was restarted from logs that tend to be noisy. - Potential race condition between Cruise Control rebalance and KafkaRoller that could cause partitions under minimum in sync replica. This issue is described in more detail in the `Future Improvements` section. - The current code for KafkaRoller does not easily allow growth and adding new functionality due to its complexity. The following non-trivial fixes and changes are missing from the current KafkaRoller's KRaft implementation: -- Currently KafkaRoller has to connect to brokers successfully in order to get KRaft quorum information and determine whether a controller node can be restarted. This is because it was not possible to directly talk to KRaft controllers at the time before [KIP 919](https://cwiki.apache.org/confluence/display/KAFKA/KIP-919%3A+Allow+AdminClient+to+Talk+Directly+with+the+KRaft+Controller+Quorum+and+add+Controller+Registration) was implemented. The issue is raised [here](https://github.com/strimzi/strimzi-kafka-operator/issues/9692). - - KafkaRoller takes a long time to reconcile mixed nodes if they are all in `Pending` state. This is because a mixed node does not become ready until the quorum is formed and KafkaRoller waits for a pod to become ready before it attempts to restart other nodes. In order for the quorum to form, at least the majority of controller nodes need to be running at the same time. This is not easy to solve in the current KafkaRoller without introducing some major changes because it processes each node individually and there is no mechanism to restart multiple nodes in parallel. More information can be found [here](https://github.com/strimzi/strimzi-kafka-operator/issues/9426). - The quorum health check relies on the `controller.quorum.fetch.timeout.ms` configuration, which is determined by the desired configuration values. However, during certificate reconciliation or manual rolling updates, KafkaRoller doesn't have access to these desired configuration values since they shouldn't prompt any configuration changes. As a result, the quorum health check defaults to using the hard-coded default value of `controller.quorum.fetch.timeout.ms` instead of the correct configuration value during manual rolling updates or when rolling nodes for certificate renewal. @@ -44,11 +42,14 @@ As you can see above, the current KafkaRoller still needs various changes and po ## Proposal -The objective of this proposal is to introduce a new KafkaRoller with simplified logic having a structured design resembling a finite state machine. KafkaRoller decisions are informed by observations coming from different sources (e.g. Kubernetes API, KafkaAgent, Kafka Admin API). These sources will be abstracted so that KafkaRoller is not dependent on their specifics as long as it's getting the information it needs. The abstractions also enable much better unit testing. +The objective of this proposal is to introduce a new KafkaRoller with more structured design resembling a finite state machine. Given the number of new features and changes related to KRaft, it is easiest to rewrite it from scratch rather than refactoring the existing component. With a more structured design, the process for evaluating pods in various states such as not running, unready, or lacking a connection; and deciding whether to restart them would become more defined and easier to follow. + +KafkaRoller decisions would be informed by observations coming from different sources (e.g. Kubernetes API, KafkaAgent, Kafka Admin API). These sources will be abstracted so that KafkaRoller is not dependent on their specifics as long as it's getting the information it needs. The abstractions also enable much better unit testing. -Depending on the observed states, the roller will perform specific actions. Those actions should cause a subsequent observation to cause a state transition. This iterative process continues until each node's state aligns with the desired state. +Nodes would categorised based on the observed states, the roller will perform specific actions on nodes in each category. Those actions should cause a subsequent observation to cause a state transition. This iterative process continues until each node's state aligns with the desired state. + +In addition, the new KafkaRoller will introduce an algorithm to restart brokers in parallel when safety conditions are met. These conditions ensure Kafka producer availability and minimize the impact on controllers and overall cluster stability. It will also wait for partitions to be reassigned to their preferred leaders to avoid triggering unnecessary partition leader elections. -It will also introduce an algorithm that can restart brokers in parallel when safety conditions are not violated. These conditions guarantee Kafka producer availability and cause minimal impact on controllers and overall stability of clusters. ### Node State When a new reconciliation starts up, a context object is created for each node to store the state and other useful information used by the roller. It will have the following fields: @@ -57,30 +58,31 @@ When a new reconciliation starts up, a context object is created for each node t - currentNodeRole: Currently assigned process roles for this node (e.g. controller, broker). - lastKnownState: It contains the last known state of the node based on information collected from the abstracted sources (Kubernetes API, KafkaAgent and Kafka Admin API). The table below describes the possible states. - restartReason: It is updated based on the current predicate logic from the `Reconciler`. For example, an update in the Kafka CR is detected. - - numRestartAttempts: The value is incremented each time the node has been attempted to restart. - - numReconfigAttempts: The value is incremented each time the node has been attempted to reconfigure. - - numRetries: The value is incremented each time the node cannot be restarted/reconfigured due to not meeting safety conditions (more on this later). + - numRestartAttempts: The value is incremented each time the node has been restarted or attempted to be restarted. + - numReconfigAttempts: The value is incremented each time the node has been reconfigured or attempted to be reconfigured. + - numRetries: The value is incremented each time the node is evaluated/processed but was not restarted/reconfigured due to not meeting safety conditions for example, availability check failed, log recovery or timed out waiting for pod to become ready. - lastTransitionTime: System.nanoTime of last observed state transition. - The following table illustrates the proposed node states and the possible transitions: + The following table illustrates possible states for `lastKnownState` field and the next states it can transition into: | State | Description | Possible transitions | | :--------------- | :--------------- | :----------- | - | UNKNOWN | The initial state when creating `Context` for a node. We expect to transition from this state fairly quickly after creating the context for nodes. | `NOT_RUNNING` `NOT_READY` `RECOVERING` `SERVING` | - | NOT_RUNNING | Node is not running (Kafka process is not running). This is determined via Kubernetes API, more details for it below. | `NOT_READY`, `NOT_RUNNING`. | `RESTARTED` `SERVING` | - | NOT_READY | Node is running but not ready to serve requests which is determined by Kubernetes readiness probe (broker state < 2 OR == 127 OR controller is not listening on port). | `RESTARTED` `SERVING` | - | RESTARTED | After successful `kubectl delete pod`. | `NOT_RUNNING` `NOT_READY` `RECOVERING` `SERVING` | - | RECONFIGURED | After successful Kafka node config update via Admin client. | `NOT_RUNNING` `NOT_READY` `RESTARTED` `SERVING` | - | RECOVERING | Node has started but is in log recovery (broker state == 2). | `SERVING` | - | SERVING | Node is in running state and ready to serve requests which is determined by Kubernetes readiness probe (broker state >= 3 AND != 127 OR controller is listening on port). | `RESTARTED` `RECONFIGURED` `LEADING_ALL_PREFERRED` | - | LEADING_ALL_PREFERRED | Node is in running state and leading all preferred replicas. | None + | UNKNOWN | The initial state when creating `Context` for a node. We expect to transition from this state fairly quickly after creating the context for nodes. | `NOT_RUNNING` `NOT_READY` `RECOVERING` `READY` | + | NOT_RUNNING | Node is not running (Kafka process is not running). This is determined via Kubernetes API, more details for it below. | `NOT_READY`, `NOT_RUNNING`. | `RESTARTED` `READY` | + | NOT_READY | Node is running but not ready to serve requests which is determined by Kubernetes readiness probe (broker state < 2 OR == 127 OR controller is not listening on port). | `RESTARTED` `READY` | + | RESTARTED | After successful `kubectl delete pod`. | `NOT_RUNNING` `NOT_READY` `RECOVERING` `READY` | + | RECONFIGURED | After successful Kafka node config update via Admin client. | `NOT_RUNNING` `NOT_READY` `RESTARTED` `READY` | + | RECOVERING | Node has started but is in log recovery (broker state == 2). This is determined via the KafkaAgent. | `READY` | + | READY | Node is in running state and ready to serve requests which is determined by Kubernetes readiness probe (broker state >= 3 AND != 127 OR controller is listening on port). | `LEADING_ALL_PREFERRED` `NOT_READY` `NOT_RUNNING` | + | LEADING_ALL_PREFERRED | Node is leading all the partitions that it is the preferred leader for. Node's state can transition into this only from `READY` state. | `NOT_READY` `NOT_RUNNING` -The definitions of broker states can be found via the following link: [Broker States](https://github.com/apache/kafka/blob/3.7/metadata/src/main/java/org/apache/kafka/metadata/BrokerState.java). +Context about broker states and restart reasons: +- To determine if the node is ready or performing a log recovery, we use the [Broker States](https://github.com/apache/kafka/blob/3.7/metadata/src/main/java/org/apache/kafka/metadata/BrokerState.java) metric emitted by Kafka. KafkaAgent collects and exposes this metric via REST Endpoint. This is what the current KafkaRoller does already, and the new roller will use it the same way. -The definitions of the possible restart reasons can be found via the following link: [Restart Reasons](https://github.com/strimzi/strimzi-kafka-operator/blob/0.40.0/cluster-operator/src/main/java/io/strimzi/operator/cluster/model/RestartReason.java) +- If Kafka pod is ready, the restart reasons is checked to determine whether it needs to be restarted The definitions of the possible restart reasons can be found via the following link: [Restart Reasons](https://github.com/strimzi/strimzi-kafka-operator/blob/0.40.0/cluster-operator/src/main/java/io/strimzi/operator/cluster/model/RestartReason.java). This is also what the current KafkaRoller roller does and the new roller will use it the same way. #### NOT_RUNNING state -If one of the following is true, then node's state is `NOT_RUNNING: +If one of the following is true, then node's state is `NOT_RUNNING`: - no pod exists for this node - unable to get the `Pod Status` for the pod - the pod has `Pending` status with `Unschedulable` reason @@ -92,15 +94,15 @@ If none of the above is true but the node is not ready, then its state would be ### Configurability -The following can be the configuration options for the new KafkaRoller: +The following are the configuration options for the new KafkaRoller. If exposed to user, the user can configure it via `STRIMZI_` environment variables. Otherwise, the operator will set them to the default values (which are similar to what the current roller has): | Configuration | Default value | Exposed to user | Description | |:-----------------------|:--------------|:----------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | maxRestartAttempts | 3 | No | The maximum number of times a node can be restarted before failing the reconciliation. This is checked against the node's `numRestartAttempts`. | -| maxReconfigAttempts | 3 | No | The maximum number of times a node can be reconfigured before restarting it. This is checked against the node's `numReconfigAttempts`. | -| maxRetries | 10 | No | The maximum number of times a node can be retried after not meeting the safety conditions. This is checked against the node's `numRetries`. | -| postOperationTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for nodes to transition to `SERVING` state after an operation in each retry. This will be based on the operation timeout that is already exposed to the user via environment variable `STRIMZI_OPERATION_TIMEOUT_MS`. | -| maxRestartParallelism | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. | +| maxReconfigAttempts | 3 | No | The maximum number of times a node can be dynamically reconfigured before restarting it. This is checked against the node's `numReconfigAttempts`. | +| maxRetries | 10 | No | The maximum number of times a node can be retried after not meeting the safety conditions e.g. availability check failed. This is checked against the node's `numRetries`. | +| operationTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for nodes to transition to `READY` state after an operation in each retry. This is already exposed to the user via environment variable `STRIMZI_OPERATION_TIMEOUT_MS`. | +| maxRestartParallelism | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. This will be exposed to the user via the new environment variable `STRIMZI_MAX_RESTART_BATCH_SIZE`. | ### Algorithm @@ -119,9 +121,9 @@ Context: { ``` Contexts are recreated in each reconciliation with the initial data above. -2. Observe and transition each node's state to the corresponding state based on the information collected from the abstracted sources. If it can't retrieve any information from the sources, the reconciliation fails and the next reconciliation would start from step 1. +2. Observe and transition each node's state to the corresponding state based on the information collected from the abstracted sources which is further explained [here](#node-state) . If it can't retrieve any information from the sources, the reconciliation fails and the next reconciliation would start from step 1. -3. If there are nodes in `NOT_READY` state, wait for them to have `SERVING` within the `postOperationTimeoutMs`. +3. If there are nodes in `NOT_READY` state, wait for them to have `READY` within the `operationTimeoutMs`. We want to give nodes chance to get ready before we try to connect to them or consider them for rolling. This is important especially for nodes which were just started. This is consistent with how the current roller handles unready nodes. - If the timeout is reached, proceed to the next step and check if any of the nodes need to be restarted. @@ -129,13 +131,13 @@ Contexts are recreated in each reconciliation with the initial data above. 4. Group the nodes into the following categories based on their state and connectivity: - `RESTART_FIRST` - Nodes that have `NOT_READY` or `NOT_RUNNING` state in their contexts. The nodes that we cannot connect to via Admin API will also be put into this group with its reason updated with `POD_UNRESPONSIVE`. - `WAIT_FOR_LOG_RECOVERY` - Nodes that have `RECOVERING` state. + - `MAYBE_RECONFIGURE_OR_RESTART` - Broker nodes (including mixed nodes) that have an empty list of reasons and not been restarted or reconfigured yet (Context.numReconfigAttempts == 0 || Context.numRestartAttempts == 0). This nodes in this group then will be further refined and put into `RECONFIGURE` or `RESTART` categories later. - `RESTART` - Nodes that have non-empty list of reasons from the predicate function and have not been restarted yet (Context.numRestartAttempts == 0). - - `MAYBE_RECONFIGURE` - Broker nodes (including mixed nodes) that have an empty list of reasons and not been reconfigured yet (Context.numReconfigAttempts == 0). - `NOP` - Nodes that have at least one restart or reconfiguration attempt (Context.numRestartAttempts > 0 || Context.numReconfigAttempts > 0 ) and have either - `LEADING_ALL_PREFERRED` or `SERVING` state. + `LEADING_ALL_PREFERRED` or `READY` state. This means no operation is needed for this node. 5. Wait for nodes in `WAIT_FOR_LOG_RECOVERY` group to finish performing log recovery. - - Wait for nodes to have `SERVING` within the `postOperationTimeoutMs`. + - Wait for nodes to have `READY` within the `operationTimeoutMs`. - If the timeout is reached for a node and its `numRetries` is greater than or equal to `maxRetries`, throw `UnrestartableNodesException` with the log recovery progress (number of remaining logs and segments). Otherwise increment node's `numRetries` and repeat from step 2. 6. Restart nodes in `RESTART_FIRST` category: @@ -146,7 +148,7 @@ Contexts are recreated in each reconciliation with the initial data above. - If a node is in `NOT_RUNNING` state, the restart it only if it has `POD_HAS_OLD_REVISION` or `POD_UNRESPONSIVE` reason. This is because, if the node is not running at all, then restarting it likely won't make any difference unless the node is out of date. > For example, if a pod is in pending state due to misconfigured affinity rule, there is no point restarting this pod again or restarting other pods, because that would leave them in pending state as well. If the user then fixed the misconfigured affinity rule, then we should detect that the pod has an old revision, therefore should restart it so that pod is scheduled correctly and runs. - - At this point either we started nodes or decided not to because nodes did not have `POD_HAS_OLD_REVISION` reason. Regardless, wait for nodes to have `SERVING` within `postOperationTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 2. + - At this point either we started nodes or decided not to because nodes did not have `POD_HAS_OLD_REVISION` reason. Regardless, wait for nodes to have `READY` within `operationTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 2. - Otherwise the nodes will be attempted to restart one by one in the following order: @@ -154,23 +156,24 @@ Contexts are recreated in each reconciliation with the initial data above. - Mixed nodes - Broker only nodes - - Wait for the restarted node to have `SERVING` within `postOperationTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 2. + - Wait for the restarted node to have `READY` within `operationTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 2. -7. Further refine the broker nodes in `MAYBE_RECONFIGURE` group: +7. Further refine the broker nodes in `MAYBE_RECONFIGURE_OR_RESTART` group: - Describe Kafka configurations for each node via Admin API and compare them against the desired configurations. This is essentially the same mechanism we use today for the current KafkaRoller. - If a node has configuration changes and they can be dynamically updated, add the node into another group called `RECONFIGURE`. - If a node has configuration changes but they cannot be dynamically updated, add the node into the `RESTART` group. - If a node has no configuration changes, put the node into the `NOP` group. 8. Reconfigure each node in `RECONFIGURE` group: - - If `numReconfigAttempts` of a node is greater than the configured `maxReconfigAttempts`, add a restart reason to its context and repeat from step 2. Otherwise continue. + - If `numReconfigAttempts` of a node is greater than the configured `maxReconfigAttempts`, add a restart reason to its context and repeat from step 2. This will cause the Otherwise continue. - Send `incrementalAlterConfig` request with its config updates. - Transitions the node's state to `RECONFIGURED` and increment its `numReconfigAttempts`. - - Wait for each node that got configurations updated until they have `LEADING_ALL_PREFERRED` within the `postOperationTimeoutMs`. - - If the `postOperationTimeoutMs` is reached, repeat from step 2. + - If the request to update the configuration failed, it will retry the node by repeating from step 2. + - Wait for each node that got configurations updated until they have `READY` within the `operationTimeoutMs`. + - If the `operationTimeoutMs` is reached, repeat from step 2. 9. If at this point, the `RESTART` group is empty and if there is no nodes that is in `NOT_READY` state, the reconciliation will be completed successfully. - - If there are nodes in `NOT_READY` state, wait for them to have `SERVING` within the `postOperationTimeoutMs`. + - If there are nodes in `NOT_READY` state, wait for them to have `READY` within the `operationTimeoutMs`. - If the timeout is reached for a node and its `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. - Otherwise increment node's `numRetries` and repeat from step 2. This is consistent with how the current roller handles unready nodes. @@ -201,9 +204,9 @@ Contexts are recreated in each reconciliation with the initial data above. 11. Restart the nodes from the returned batch in parallel: - If `numRestartAttempts` of a node is larger than `maxRestartAttempts`, throw `MaxRestartsExceededException`. - Otherwise, restart each node and transition its state to `RESTARTED` and increment its `numRestartAttempts`. - - After restarting all the nodes in the batch, wait for their states to become `SERVING` until the configured `postOperationTimeoutMs` is reached. + - After restarting all the nodes in the batch, wait for their states to become `READY` until the configured `operationTimeoutMs` is reached. - If the timeout is reached, throw `TimeoutException`. If a node's `numRetries` is greater than or equal to `maxRetries`. Otherwise increment their `numRetries` and repeat from step 2. - - After all the nodes are in `SERVING` state, trigger preferred leader elections via Admin client. Wait for their states to become `LEADING_ALL_PREFERRED` until the configured `postOperationTimeoutMs` is reached. If the timeout is reached, log a `WARN` message. + - After all the nodes are in `READY` state, trigger preferred leader elections via Admin client. Wait for their states to become `LEADING_ALL_PREFERRED` until the configured `operationTimeoutMs` is reached. If the timeout is reached, log a `WARN` message. 12. If there are no exceptions thrown at this point, the reconciliation completes successfully. If there were `UnrestartableNodesException`, `TimeoutException`, `MaxRestartsExceededException` or any other unexpected exceptions throws, the reconciliation fails. @@ -244,7 +247,7 @@ All the nodes except `mixed-3` have the following Context with `nodeRef` being t ``` nodeRef: controller-0/0 nodeRoles: controller - state: SERVING + state: READY lastTransition: 0123456 reason: MANUAL_ROLLING_UPDATE numRestartAttempts: 0 @@ -262,7 +265,7 @@ The `mixed-3` node has the following context because the operator could not esta numReconfigAttempts: 0 numRetries: 0 ``` -2. The roller checks if all of the controller nodes are mixed and in `NOT_RUNNING` state. Since they are not and it has `POD_UNRESPONSIVE` reason, it restarts `mixed-3` node and waits for it to have `SERVING` state. The `mixed-3`'s context becomes: +2. The roller checks if all of the controller nodes are mixed and in `NOT_RUNNING` state. Since they are not and it has `POD_UNRESPONSIVE` reason, it restarts `mixed-3` node and waits for it to have `READY` state. The `mixed-3`'s context becomes: ``` nodeRef: mixed-3/3 nodeRoles: controller,broker @@ -273,12 +276,12 @@ The `mixed-3` node has the following context because the operator could not esta numReconfigAttempts: 0 numRetries: 0 ``` -3. `mixed-3` state becomes `SERVING` and since its `numRestartAttempts` is greater than 1, the roller checks the rest of the nodes. +3. `mixed-3` state becomes `READY` and since its `numRestartAttempts` is greater than 1, the roller checks the rest of the nodes. 4. The roller checks which node is the active controller and finds that `controller-0` is. It then sends a request to the active controller via AdminClient to describe its `controller.quorum.fetch.timeout` config value. 5. It then considers restarting `controller-1` and checks if the quorum health would be impacted. The operator sends a request to the active controller to describe the quorum replication state. It finds that majority of the follower controllers have caught up with the quorum leader within the `controller.quorum.fetch.timeout.ms`. -6. The roller restarts `controller-1` as it has no impact on the quorum health. When it has `SERVING` state, the roller repeats the quorum check and restarts `controller-2` and then `controller-0`. +6. The roller restarts `controller-1` as it has no impact on the quorum health. When it has `READY` state, the roller repeats the quorum check and restarts `controller-2` and then `controller-0`. 7. It then considers restarting `mixed-4`, so it performs quorum healthcheck and then availability check. Both check passes therefore `mixed-4` is restarted. The same is repeated for `mixed-5`. -8. All the controller and mixed nodes have `SERVING` state and `numRestartAttempts` set to greater than 1. This means, they have been successfuly restarted, therefore the roller considers restarting the broker nodes. +8. All the controller and mixed nodes have `READY` state and `numRestartAttempts` set to greater than 1. This means, they have been successfuly restarted, therefore the roller considers restarting the broker nodes. 9. It sends requests to describe all the topic partitions and their `min.insync.replicas` configuration, and the following list of topics is returned: ``` topic("topic-A"), Replicas(9, 10, 11), ISR(9, 10), MinISR(2) @@ -293,10 +296,10 @@ topic("topic-E"), Replicas(6, 10, 11), ISR(6, 10, 11), MinISR(2) - (7) - `broker-7` and `broker-10` do not share any topic partitions, however topic-A is at min ISR, therefore 10 cannot be restarted and is removed from the batch. - (6) - `broker-6` and `broker-9` do not share any topic partitions, however topic-A is at min ISR, therefore 9 cannot be restarted and is removed from the batch. -11. The roller picks the largest batch containing `broker-11` and `broker-8` and restarts them together. It waits for the nodes to have `SERVING` and then `LEADING_ALL_PREFERRED` state. -12. It then restarts the batch containing only `broker-7`. It waits for it to have `SERVING` and then `LEADING_ALL_PREFERRED` state. -13. It then restarts the batch containing only `broker-6`. It times out waiting for it to have `SERVING` state because it's still performing log recovery. -14. The roller retries waiting for `broker-6` to have `SERVING` state for a number of times and results in the following context: +11. The roller picks the largest batch containing `broker-11` and `broker-8` and restarts them together. It waits for the nodes to have `READY` and then `LEADING_ALL_PREFERRED` state. +12. It then restarts the batch containing only `broker-7`. It waits for it to have `READY` and then `LEADING_ALL_PREFERRED` state. +13. It then restarts the batch containing only `broker-6`. It times out waiting for it to have `READY` state because it's still performing log recovery. +14. The roller retries waiting for `broker-6` to have `READY` state for a number of times and results in the following context: ``` nodeRef: broker-6/6 nodeRoles: broker @@ -308,14 +311,14 @@ topic("topic-E"), Replicas(6, 10, 11), ISR(6, 10, 11), MinISR(2) numRetries: 10 ``` 15. The `maxRetries` of 10 is reached for `broker-6`, therefore the roller throws `UnrestartableNodesException` and the reconciliation fails. The operator logs the number of remaining segments and logs to recover. -16. When the next reconciliation starts, all the nodes are observed and their contexts are updated. `broker-6` node has finished performing log recovery therefore have `SERVING` state. All nodes have `SERVING` state and no reason to restart except `broker-9` and `broker-10`. +16. When the next reconciliation starts, all the nodes are observed and their contexts are updated. `broker-6` node has finished performing log recovery therefore have `READY` state. All nodes have `READY` state and no reason to restart except `broker-9` and `broker-10`. 17. Broker nodes that have no reason to restart are checked if their configurations have been updated. The `min.insync.replicas` has been updated to 1 therefore the roller sends a request containing the configuration update to the brokers and then transitions nodes' state to `RECONFIGURED`. 18. Observe the broker nodes that have configuration updated, and wait until they have `LEADING_ALL_PREFERRED` state. 19. The roller considers restarting `broker-10` and `broker-9` as they still have `MANUAL_ROLLING_UPDATE` reason. 20. It sends requests to describe all the topic partitions and their `min.insync.replicas` configuration and finds that all topic partitions are fully replicated. 21. The roller create 2 batches with a single node in each because `broker-10` and `broker-9` share topic partition, "topic-A": -22. It then restarts the batch containing `broker-10`. It waits for it to have `SERVING` and then `LEADING_ALL_PREFERRED` state. The same is repeated for the batch containing `broker-9`. -23. All nodes have `SERVING` or `LEADING_ALL_PREFERRED` and no exception was thrown therefore the reconciliation completes successfully. +22. It then restarts the batch containing `broker-10`. It waits for it to have `READY` and then `LEADING_ALL_PREFERRED` state. The same is repeated for the batch containing `broker-9`. +23. All nodes have `READY` or `LEADING_ALL_PREFERRED` and no exception was thrown therefore the reconciliation completes successfully. ### Switching from the old KafkaRoller to the new KafkaRoller @@ -332,7 +335,7 @@ The new KafkaRoller will only work with KRaft clusters therefore when running in - KafkaRoller is performing a rolling update to the cluster. It checks the availability impact for foo-0 partition before rolling broker 1. Since partition foo-0 has ISR [1, 2, 4], KafkaRoller decides that it is safe to restart broker 1. It is unaware of the `removingReplicas` request that is about to be processed. - The reassignment request is processed and foo-0 partition now has ISR [1, 4]. - KafkaRoller restarts broker 1 and foo-0 partition now has ISR [4] which is below the configured minimum in sync replica of 2 resulting in producers with acks-all no longer being able to produce to this partition. - +This would likely need its own proposal. ## Affected/not affected projects From ec3800929086f3fda6ee38fcd558837355435528 Mon Sep 17 00:00:00 2001 From: Gantigmaa Selenge Date: Thu, 11 Jul 2024 11:01:03 +0100 Subject: [PATCH 11/15] Address all the remaining review comments - Improve the names for categories and states - Remove restarted/reconfigured states - Add a configuration for delay between restarts - Add a configuration for delay between restart and trigger of preferred leader election - Restart NOT_RUNNING nodes in parallel for quicker recovery - Improve the overall algorithm section, to make it clearer and concise Signed-off-by: Gantigmaa Selenge --- 06x-new-kafka-roller.md | 200 +++++++++++++++++----------------------- 1 file changed, 86 insertions(+), 114 deletions(-) diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md index b5802296..b959ed8c 100644 --- a/06x-new-kafka-roller.md +++ b/06x-new-kafka-roller.md @@ -64,16 +64,14 @@ When a new reconciliation starts up, a context object is created for each node t - lastTransitionTime: System.nanoTime of last observed state transition. The following table illustrates possible states for `lastKnownState` field and the next states it can transition into: - | State | Description | Possible transitions | + | State | Description | Next possible transitions | | :--------------- | :--------------- | :----------- | - | UNKNOWN | The initial state when creating `Context` for a node. We expect to transition from this state fairly quickly after creating the context for nodes. | `NOT_RUNNING` `NOT_READY` `RECOVERING` `READY` | - | NOT_RUNNING | Node is not running (Kafka process is not running). This is determined via Kubernetes API, more details for it below. | `NOT_READY`, `NOT_RUNNING`. | `RESTARTED` `READY` | - | NOT_READY | Node is running but not ready to serve requests which is determined by Kubernetes readiness probe (broker state < 2 OR == 127 OR controller is not listening on port). | `RESTARTED` `READY` | - | RESTARTED | After successful `kubectl delete pod`. | `NOT_RUNNING` `NOT_READY` `RECOVERING` `READY` | - | RECONFIGURED | After successful Kafka node config update via Admin client. | `NOT_RUNNING` `NOT_READY` `RESTARTED` `READY` | - | RECOVERING | Node has started but is in log recovery (broker state == 2). This is determined via the KafkaAgent. | `READY` | - | READY | Node is in running state and ready to serve requests which is determined by Kubernetes readiness probe (broker state >= 3 AND != 127 OR controller is listening on port). | `LEADING_ALL_PREFERRED` `NOT_READY` `NOT_RUNNING` | - | LEADING_ALL_PREFERRED | Node is leading all the partitions that it is the preferred leader for. Node's state can transition into this only from `READY` state. | `NOT_READY` `NOT_RUNNING` + | UNKNOWN | The initial state when creating `Context` for a node or state just after the node gets restarted/reconfigured. We expect to transition from this state fairly quickly. | `NOT_RUNNING` `NOT_READY` `RECOVERING` `READY` | + | NOT_RUNNING | Node is not running (Kafka process is not running). This is determined via Kubernetes API, more details for it below. | `READY` `UNKNOWN` `NOT_READY` `RECOVERING` | + | NOT_READY | Node is running but not ready to serve requests which is determined by Kubernetes readiness probe (broker state < 2 OR == 127 OR controller is not listening on port). | `READY` `UNKNOWN` `NOT_RUNNING` `RECOVERING` | + | RECOVERING | Node has started but is in log recovery (broker state == 2). This is determined via the KafkaAgent. | `READY` `NOT_RUNNING` `NOT_READY` | + | READY | Node is in running state and ready to serve requests which is determined by Kubernetes readiness probe (broker state >= 3 AND != 127 OR controller is listening on port). | `LEADING_ALL_PREFERRED` `UNKNOWN` | + | LEADING_ALL_PREFERRED | Node is leading all the partitions that it is the preferred leader for. Node's state can transition into this only from `READY` state. | This is the final state we expect Context about broker states and restart reasons: - To determine if the node is ready or performing a log recovery, we use the [Broker States](https://github.com/apache/kafka/blob/3.7/metadata/src/main/java/org/apache/kafka/metadata/BrokerState.java) metric emitted by Kafka. KafkaAgent collects and exposes this metric via REST Endpoint. This is what the current KafkaRoller does already, and the new roller will use it the same way. @@ -102,116 +100,90 @@ The following are the configuration options for the new KafkaRoller. If exposed | maxReconfigAttempts | 3 | No | The maximum number of times a node can be dynamically reconfigured before restarting it. This is checked against the node's `numReconfigAttempts`. | | maxRetries | 10 | No | The maximum number of times a node can be retried after not meeting the safety conditions e.g. availability check failed. This is checked against the node's `numRetries`. | | operationTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for nodes to transition to `READY` state after an operation in each retry. This is already exposed to the user via environment variable `STRIMZI_OPERATION_TIMEOUT_MS`. | -| maxRestartParallelism | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. This will be exposed to the user via the new environment variable `STRIMZI_MAX_RESTART_BATCH_SIZE`. | +| maxRestartParallelism | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. This will be exposed to the user via the new environment variable `STRIMZI_MAX_RESTART_BATCH_SIZE`. +| postRestartDelay | 0 | Yes | Delay between restarts of nodes or batches. It's set to 0 by default, but can be adjusted by users to slow down the restarts. This will also help JIT to reach a steady state and to reduce impact on clients. +| restartAndPreferredLeaderElectionDelay | 10 seconds | No | Delay between restart and triggering partition leader election so that just-rolled broker is leading all the partitions it is the preferred leader for. This is to avoid situations where leaders moving to a newly started node that does not yet have established networking to some outside networks, e.g. through load balancers. ### Algorithm -1. Initialise a context object for each node with the following data: -``` -Context: { - nodeRef: - nodeRoles: - state: UNKNOWN - lastTransition: - reason: - numRestartAttempts: 0 - numReconfigAttempts: 0 - numRetries: 0 -} -``` -Contexts are recreated in each reconciliation with the initial data above. - -2. Observe and transition each node's state to the corresponding state based on the information collected from the abstracted sources which is further explained [here](#node-state) . If it can't retrieve any information from the sources, the reconciliation fails and the next reconciliation would start from step 1. - -3. If there are nodes in `NOT_READY` state, wait for them to have `READY` within the `operationTimeoutMs`. - We want to give nodes chance to get ready before we try to connect to them or consider them for rolling. This is important especially for nodes which were just started. - This is consistent with how the current roller handles unready nodes. - - If the timeout is reached, proceed to the next step and check if any of the nodes need to be restarted. - -4. Group the nodes into the following categories based on their state and connectivity: - - `RESTART_FIRST` - Nodes that have `NOT_READY` or `NOT_RUNNING` state in their contexts. The nodes that we cannot connect to via Admin API will also be put into this group with its reason updated with `POD_UNRESPONSIVE`. - - `WAIT_FOR_LOG_RECOVERY` - Nodes that have `RECOVERING` state. - - `MAYBE_RECONFIGURE_OR_RESTART` - Broker nodes (including mixed nodes) that have an empty list of reasons and not been restarted or reconfigured yet (Context.numReconfigAttempts == 0 || Context.numRestartAttempts == 0). This nodes in this group then will be further refined and put into `RECONFIGURE` or `RESTART` categories later. - - `RESTART` - Nodes that have non-empty list of reasons from the predicate function and have not been restarted yet (Context.numRestartAttempts == 0). - - `NOP` - Nodes that have at least one restart or reconfiguration attempt (Context.numRestartAttempts > 0 || Context.numReconfigAttempts > 0 ) and have either - `LEADING_ALL_PREFERRED` or `READY` state. This means no operation is needed for this node. - -5. Wait for nodes in `WAIT_FOR_LOG_RECOVERY` group to finish performing log recovery. - - Wait for nodes to have `READY` within the `operationTimeoutMs`. - - If the timeout is reached for a node and its `numRetries` is greater than or equal to `maxRetries`, throw `UnrestartableNodesException` with the log recovery progress (number of remaining logs and segments). Otherwise increment node's `numRetries` and repeat from step 2. - -6. Restart nodes in `RESTART_FIRST` category: - - if one or more nodes have `NOT_RUNNING` state, we first need to check 2 special conditions: - - If all of the nodes are mixed and are in `NOT_RUNNING` state, restart them in parallel to give the best chance of forming the quorum. +1. **Initialize Context for Each Node:** + Create a context object with the following data: + ``` + Context: { + nodeRef: , + nodeRoles: , + state: UNKNOWN, + lastTransition: , + reason: , + numRestartAttempts: 0, + numReconfigAttempts: 0, + numRetries: 0 + } + ``` + Contexts are recreated in each reconciliation with the above initial data. + +2. **Transition Node States:** + Update each node's state based on information from abstracted sources. If failed to retrieve information, the reconciliation fails and restarts from step 1. + +3. **Handle `NOT_READY` Nodes:** + Wait for `NOT_READY` nodes to become `READY` within `operationTimeoutMs`. If the timeout is reached, check if nodes need to be restarted. + +4. **Categorize Nodes:** + Group nodes based on their state and connectivity: + - `RESTART_NOT_RUNNING`: Nodes in `NOT_READY` state. + - `WAIT_FOR_LOG_RECOVERY`: Nodes in `RECOVERING` state. + - `RESTART_UNRESPONSIVE`: Nodes unresponsive via Admin API. + - `MAYBE_RECONFIGURE_OR_RESTART`: Broker nodes with empty reason lists and no previous restarts/reconfigurations. + - `RESTART`: Nodes with reasons for restart and no previous restarts. + - `NOP`: Nodes needing no operation. + +5. **Wait for Log Recovery:** + Wait for `WAIT_FOR_LOG_RECOVERY` nodes to become `READY` within `operationTimeoutMs`. If timeout is reached and `numRetries` exceeds `maxRetries`, throw `UnrestartableNodesException`. Otherwise, increment `numRetries` and repeat from step 2. + +6. **Restart `RESTART_NOT_RUNNING` Nodes:** + Restart nodes in `NOT_RUNNING` state, considering special conditions: + - If all controller nodes are `NOT_RUNNING`, restart them in parallel to form a quorum. > This is to address the issue described in https://github.com/strimzi/strimzi-kafka-operator/issues/9426. - - - If a node is in `NOT_RUNNING` state, the restart it only if it has `POD_HAS_OLD_REVISION` or `POD_UNRESPONSIVE` reason. This is because, if the node is not running at all, then restarting it likely won't make any difference unless the node is out of date. + - Restart `NOT_RUNNING` nodes with `POD_HAS_OLD_REVISION` in parallel. This is because, if the node is not running at all, then restarting it likely won't make any difference unless the node is out of date. > For example, if a pod is in pending state due to misconfigured affinity rule, there is no point restarting this pod again or restarting other pods, because that would leave them in pending state as well. If the user then fixed the misconfigured affinity rule, then we should detect that the pod has an old revision, therefore should restart it so that pod is scheduled correctly and runs. - - - At this point either we started nodes or decided not to because nodes did not have `POD_HAS_OLD_REVISION` reason. Regardless, wait for nodes to have `READY` within `operationTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 2. - - - - Otherwise the nodes will be attempted to restart one by one in the following order: - - Pure controller nodes - - Mixed nodes - - Broker only nodes - - - Wait for the restarted node to have `READY` within `operationTimeoutMs`. If the timeout is reached and the node's `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. Otherwise increment node's `numRetries` and repeat from step 2. - -7. Further refine the broker nodes in `MAYBE_RECONFIGURE_OR_RESTART` group: - - Describe Kafka configurations for each node via Admin API and compare them against the desired configurations. This is essentially the same mechanism we use today for the current KafkaRoller. - - If a node has configuration changes and they can be dynamically updated, add the node into another group called `RECONFIGURE`. - - If a node has configuration changes but they cannot be dynamically updated, add the node into the `RESTART` group. - - If a node has no configuration changes, put the node into the `NOP` group. - -8. Reconfigure each node in `RECONFIGURE` group: - - If `numReconfigAttempts` of a node is greater than the configured `maxReconfigAttempts`, add a restart reason to its context and repeat from step 2. This will cause the Otherwise continue. - - Send `incrementalAlterConfig` request with its config updates. - - Transitions the node's state to `RECONFIGURED` and increment its `numReconfigAttempts`. - - If the request to update the configuration failed, it will retry the node by repeating from step 2. - - Wait for each node that got configurations updated until they have `READY` within the `operationTimeoutMs`. - - If the `operationTimeoutMs` is reached, repeat from step 2. - -9. If at this point, the `RESTART` group is empty and if there is no nodes that is in `NOT_READY` state, the reconciliation will be completed successfully. - - If there are nodes in `NOT_READY` state, wait for them to have `READY` within the `operationTimeoutMs`. - - If the timeout is reached for a node and its `numRetries` is greater than or equal to `maxRetries`, throw `TimeoutException`. - - Otherwise increment node's `numRetries` and repeat from step 2. - This is consistent with how the current roller handles unready nodes. - -10. Otherwise, batch nodes in `RESTART` group and get the next batch to restart: - - Further categorize nodes based on their roles so that the following restart order can be enforced: - 1. `NON_ACTIVE_CONTROLLER` - Pure controller that is not the active controller - 2. `MIXED_AND_NOT_ACTIVE_CONTROLLER` - Mixed node (both controller and broker) and is not the active controller - 3. `ACTIVE_CONTROLLER` - Pure controller that is the active controller (the quorum leader) - 4. `MIXED_AND_ACTIVE_CONTROLLER` - Mixed node (both controller and broker) and is the active controller (the quorum leader) - 5. `BROKER` - Pure broker - - We expect only one of `ACTIVE_CONTROLLER` and `MIXED_AND_ACTIVE_CONTROLLER` categories to be non-empty as there is only one active controller. - - > The batch returned will comprise only one node for all groups except 'BROKER', ensuring that controllers are restarted sequentially. This approach is taken to mitigate the risk of losing quorum when restarting multiple controller nodes simultaneously. A failure to establish quorum due to unhealthy controller nodes directly impacts the brokers and consequently the availability of the cluster. However, restarting broker nodes can be executed without affecting availability. If concurrently restarting brokers do not share any topic partitions, the in-sync replicas (ISRs) of topic partitions will lose no more than one replica, thus preserving availability. - - - If `NON_ACTIVE_CONTROLLER` group is non empty, return the first node that can be restarted without impacting the quorum health (more on this later). - - If `MIXED_AND_NOT_ACTIVE_CONTROLLER` group is non empty, return the first node that can be restarted without impacting the quorum health and the availability. - - If `ACTIVE_CONTROLLER` group is non empty, return the node if it can be restarted without impacting the quorum health. Otherwise return an empty set. - - If `MIXED_AND_ACTIVE_CONTROLLER` group is non empty, return the node if it can be restarted without impacting the quorum health and the availability. Otherwise return an empty set. - - If `BROKER` group is non empty, batch the broker nodes: - - build a map of nodes and their replicating partitions by sending describeTopics request to Admin API - - batch the nodes that do not have any partitions in common therefore can be restarted together - - remove nodes that have an impact on the availability from the batches (more on this later) - - return the largest batch - - If an empty batch is returned, that means none of the nodes met the safety conditions such as availability and qourum health impact. In this case, check their `numRetries` and if any of them is equal to or greater than `maxRetries`, throw `UnrestartableNodesException`. Otherwise increment their `numRetries` and repeat from step 2. - -11. Restart the nodes from the returned batch in parallel: - - If `numRestartAttempts` of a node is larger than `maxRestartAttempts`, throw `MaxRestartsExceededException`. - - Otherwise, restart each node and transition its state to `RESTARTED` and increment its `numRestartAttempts`. - - After restarting all the nodes in the batch, wait for their states to become `READY` until the configured `operationTimeoutMs` is reached. - - If the timeout is reached, throw `TimeoutException`. If a node's `numRetries` is greater than or equal to `maxRetries`. Otherwise increment their `numRetries` and repeat from step 2. - - After all the nodes are in `READY` state, trigger preferred leader elections via Admin client. Wait for their states to become `LEADING_ALL_PREFERRED` until the configured `operationTimeoutMs` is reached. If the timeout is reached, log a `WARN` message. - - -12. If there are no exceptions thrown at this point, the reconciliation completes successfully. If there were `UnrestartableNodesException`, `TimeoutException`, `MaxRestartsExceededException` or any other unexpected exceptions throws, the reconciliation fails. - -13. When the reconciliation completes either successfully or unsuccessfully, the next reconciliation will start from step 1 of this algorithm. + - Wait for each node's state to transition to `READY` within `operationTimeoutMs`. If timeout is reached, increment `numRetries` and repeat from step 2. + +7. **Restart `RESTART_UNRESPONSIVE` Nodes:** + Restart unresponsive nodes one by one in the order: pure controller, mixed, and broker nodes. Wait for each node's state to transition to `READY` within `operationTimeoutMs`. If timeout is reached, increment `numRetries` and repeat from step 2. + +8. **Refine `MAYBE_RECONFIGURE_OR_RESTART` Nodes:** + Describe Kafka configurations via Admin API: + - Nodes with dynamic config changes go to `RECONFIGURE`. + - Nodes with non dynamic config changes, go to `RESTART`. + - Nodes with no config changes go to `NOP`. + +9. **Reconfigure Nodes:** + Reconfigure nodes in the `RECONFIGURE` group: + - If `numReconfigAttempts` exceeds `maxReconfigAttempts`, add a restart reason and repeat from step 2. + - Send `incrementalAlterConfig` request, transition state to `UNKNOWN`, and increment `numReconfigAttempts`. + - Wait for each node's state to transition to `READY` within `operationTimeoutMs`. If timeout is reached, repeat from step 2. + +10. **Check for `NOT_READY` Nodes:** + If `RESTART` group is empty and no nodes are `NOT_READY`, reconciliation is successful. Otherwise, wait for `NOT_READY` nodes' state to transition to `READY` within `operationTimeoutMs`. If timeout is reached, increment `numRetries` and repeat from step 2. + +11. **Batch and Restart Nodes:** + Categorize and batch nodes for restart: + - Ensure controllers are restarted sequentially in an order of pure controllers, mixed nodes and the active controller to maintain quorum. + - Group broker nodes without common partitions for parallel restart to maintain availability. + - If no safe nodes to restart, check `numRetries`. If exceeded, throw `UnrestartableNodesException`.Otherwise, increment `numRetries` and repeat from step 2. More on safety conditions below. + +12. **Restart Nodes in Parallel:** + Restart broker nodes in the batch: + - If `numRestartAttempts` exceeds `maxRestartAttempts`, throw `MaxRestartsExceededException`. + - Restart nodes, transition state to `UNKNOWN`, and increment `numRestartAttempts`. + - Wait for each node's state to transition to `READY` within `operationTimeoutMs`. If timeout is reached, increment `numRetries` and repeat from step 2. + - After nodes are `READY`, apply `restartAndPreferredLeaderElectionDelay` and trigger preferred leader elections. Wait for nodes to transition to `LEADING_ALL_PREFERRED` state within `operationTimeoutMs`. + +13. **Handle Exceptions:** + If no exceptions are thrown, reconciliation is successful. If exceptions occur, reconciliation fails. + +14. **Repeat Reconciliation:** + Start the next reconciliation from step 1. #### Quorum health check From 7cccffb4d89e9470f3df0e3240927a0c5beee546 Mon Sep 17 00:00:00 2001 From: Gantigmaa Selenge Date: Wed, 17 Jul 2024 17:00:45 +0300 Subject: [PATCH 12/15] Address review comments from Federico and Paolo Signed-off-by: Gantigmaa Selenge --- 06x-new-kafka-roller.md | 51 +++++++++++++++++---------------- images/06x-new-roller-flow.png | Bin 47499 -> 204990 bytes 2 files changed, 26 insertions(+), 25 deletions(-) diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md index b959ed8c..b969cc90 100644 --- a/06x-new-kafka-roller.md +++ b/06x-new-kafka-roller.md @@ -46,7 +46,7 @@ The objective of this proposal is to introduce a new KafkaRoller with more struc KafkaRoller decisions would be informed by observations coming from different sources (e.g. Kubernetes API, KafkaAgent, Kafka Admin API). These sources will be abstracted so that KafkaRoller is not dependent on their specifics as long as it's getting the information it needs. The abstractions also enable much better unit testing. -Nodes would categorised based on the observed states, the roller will perform specific actions on nodes in each category. Those actions should cause a subsequent observation to cause a state transition. This iterative process continues until each node's state aligns with the desired state. +Nodes would be categorized based on the observed states, the roller will perform specific actions on nodes in each category. Those actions should cause a subsequent observation to cause a state transition. This iterative process continues until each node's state aligns with the desired state. In addition, the new KafkaRoller will introduce an algorithm to restart brokers in parallel when safety conditions are met. These conditions ensure Kafka producer availability and minimize the impact on controllers and overall cluster stability. It will also wait for partitions to be reassigned to their preferred leaders to avoid triggering unnecessary partition leader elections. @@ -57,7 +57,7 @@ When a new reconciliation starts up, a context object is created for each node t - nodeRef: NodeRef object that contains Node ID. - currentNodeRole: Currently assigned process roles for this node (e.g. controller, broker). - lastKnownState: It contains the last known state of the node based on information collected from the abstracted sources (Kubernetes API, KafkaAgent and Kafka Admin API). The table below describes the possible states. - - restartReason: It is updated based on the current predicate logic from the `Reconciler`. For example, an update in the Kafka CR is detected. + - restartReason: It is updated based on the current predicate logic passed from the `KafkaReconciler` class. For example, an update in the Kafka CR is detected. - numRestartAttempts: The value is incremented each time the node has been restarted or attempted to be restarted. - numReconfigAttempts: The value is incremented each time the node has been reconfigured or attempted to be reconfigured. - numRetries: The value is incremented each time the node is evaluated/processed but was not restarted/reconfigured due to not meeting safety conditions for example, availability check failed, log recovery or timed out waiting for pod to become ready. @@ -68,9 +68,9 @@ When a new reconciliation starts up, a context object is created for each node t | :--------------- | :--------------- | :----------- | | UNKNOWN | The initial state when creating `Context` for a node or state just after the node gets restarted/reconfigured. We expect to transition from this state fairly quickly. | `NOT_RUNNING` `NOT_READY` `RECOVERING` `READY` | | NOT_RUNNING | Node is not running (Kafka process is not running). This is determined via Kubernetes API, more details for it below. | `READY` `UNKNOWN` `NOT_READY` `RECOVERING` | - | NOT_READY | Node is running but not ready to serve requests which is determined by Kubernetes readiness probe (broker state < 2 OR == 127 OR controller is not listening on port). | `READY` `UNKNOWN` `NOT_RUNNING` `RECOVERING` | + | NOT_READY | Node is running but not ready to serve requests which is determined by Kubernetes readiness probe (broker state is not RUNNING OR controller is not listening on port). | `READY` `UNKNOWN` `NOT_RUNNING` `RECOVERING` | | RECOVERING | Node has started but is in log recovery (broker state == 2). This is determined via the KafkaAgent. | `READY` `NOT_RUNNING` `NOT_READY` | - | READY | Node is in running state and ready to serve requests which is determined by Kubernetes readiness probe (broker state >= 3 AND != 127 OR controller is listening on port). | `LEADING_ALL_PREFERRED` `UNKNOWN` | + | READY | Node is in running state and ready to serve requests which is determined by Kubernetes readiness probe (broker state is RUNNING OR controller is listening on port). | `LEADING_ALL_PREFERRED` `UNKNOWN` | | LEADING_ALL_PREFERRED | Node is leading all the partitions that it is the preferred leader for. Node's state can transition into this only from `READY` state. | This is the final state we expect Context about broker states and restart reasons: @@ -87,20 +87,21 @@ If one of the following is true, then node's state is `NOT_RUNNING`: - the pod has container status `ContainerStateWaiting` with `CrashLoopBackOff` or `ImagePullBackOff` reason If none of the above is true but the node is not ready, then its state would be `NOT_READY`. -#### Flow diagram describing the overall flow of the states +#### High level flow diagram describing the flow of the states ![The new roller flow](./images/06x-new-roller-flow.png) + ### Configurability The following are the configuration options for the new KafkaRoller. If exposed to user, the user can configure it via `STRIMZI_` environment variables. Otherwise, the operator will set them to the default values (which are similar to what the current roller has): | Configuration | Default value | Exposed to user | Description | |:-----------------------|:--------------|:----------------|:--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| -| maxRestartAttempts | 3 | No | The maximum number of times a node can be restarted before failing the reconciliation. This is checked against the node's `numRestartAttempts`. | -| maxReconfigAttempts | 3 | No | The maximum number of times a node can be dynamically reconfigured before restarting it. This is checked against the node's `numReconfigAttempts`. | +| maxRestartAttempts | 3 | No | The maximum number of restart attempts per node before failing the reconciliation. This is checked against node's `numRestartAttempts`. | +| maxReconfigAttempts | 3 | No | The maximum number of dynamic reconfiguration attempts per node before restarting the node. This is checked against node's `numReconfigAttempts`. | | maxRetries | 10 | No | The maximum number of times a node can be retried after not meeting the safety conditions e.g. availability check failed. This is checked against the node's `numRetries`. | | operationTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for nodes to transition to `READY` state after an operation in each retry. This is already exposed to the user via environment variable `STRIMZI_OPERATION_TIMEOUT_MS`. | -| maxRestartParallelism | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. This will be exposed to the user via the new environment variable `STRIMZI_MAX_RESTART_BATCH_SIZE`. +| maxRestartParallelism | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. This will be exposed to the user via the new environment variable `STRIMZI_MAX_RESTART_BATCH_SIZE`. However, if there are multiple brokers in `NOT_RUNNING` state, they may get restarted in parallel despite this configuration for a faster recovery. | postRestartDelay | 0 | Yes | Delay between restarts of nodes or batches. It's set to 0 by default, but can be adjusted by users to slow down the restarts. This will also help JIT to reach a steady state and to reduce impact on clients. | restartAndPreferredLeaderElectionDelay | 10 seconds | No | Delay between restart and triggering partition leader election so that just-rolled broker is leading all the partitions it is the preferred leader for. This is to avoid situations where leaders moving to a newly started node that does not yet have established networking to some outside networks, e.g. through load balancers. @@ -114,7 +115,7 @@ The following are the configuration options for the new KafkaRoller. If exposed nodeRoles: , state: UNKNOWN, lastTransition: , - reason: , + restartReason: , numRestartAttempts: 0, numReconfigAttempts: 0, numRetries: 0 @@ -123,10 +124,10 @@ The following are the configuration options for the new KafkaRoller. If exposed Contexts are recreated in each reconciliation with the above initial data. 2. **Transition Node States:** - Update each node's state based on information from abstracted sources. If failed to retrieve information, the reconciliation fails and restarts from step 1. + Update each node's state based on information from abstracted sources. If failed to retrieve information, the current reconciliation immediately fails. When the next reconciliation is triggered, it will restart from step 1. 3. **Handle `NOT_READY` Nodes:** - Wait for `NOT_READY` nodes to become `READY` within `operationTimeoutMs`. If the timeout is reached, check if nodes need to be restarted. + Wait for `NOT_READY` nodes to become `READY` within `operationTimeoutMs`. 4. **Categorize Nodes:** Group nodes based on their state and connectivity: @@ -153,24 +154,24 @@ The following are the configuration options for the new KafkaRoller. If exposed 8. **Refine `MAYBE_RECONFIGURE_OR_RESTART` Nodes:** Describe Kafka configurations via Admin API: - - Nodes with dynamic config changes go to `RECONFIGURE`. - - Nodes with non dynamic config changes, go to `RESTART`. - - Nodes with no config changes go to `NOP`. + - Nodes with dynamic config changes are added to `RECONFIGURE` group. + - Nodes with non dynamic config changes are added `RESTART` group. + - Nodes with no config changes are added to `NOP` group. 9. **Reconfigure Nodes:** Reconfigure nodes in the `RECONFIGURE` group: - - If `numReconfigAttempts` exceeds `maxReconfigAttempts`, add a restart reason and repeat from step 2. + - Check if `numReconfigAttempts` exceeds `maxReconfigAttempts`. If exceeded, add a restart reason and repeat from step 2. Otherwise, continue. - Send `incrementalAlterConfig` request, transition state to `UNKNOWN`, and increment `numReconfigAttempts`. - - Wait for each node's state to transition to `READY` within `operationTimeoutMs`. If timeout is reached, repeat from step 2. + - Wait for each node's state to transition to `READY` within `operationTimeoutMs`. If timeout is reached, repeat from step 2, otherwise continue. 10. **Check for `NOT_READY` Nodes:** - If `RESTART` group is empty and no nodes are `NOT_READY`, reconciliation is successful. Otherwise, wait for `NOT_READY` nodes' state to transition to `READY` within `operationTimeoutMs`. If timeout is reached, increment `numRetries` and repeat from step 2. + If `RESTART` group is empty and no nodes are `NOT_READY`, reconciliation is successful. Otherwise, wait for `NOT_READY` nodes' state to transition to `READY` within `operationTimeoutMs`. If timeout is reached, increment `numRetries` and repeat from step 2. Otherwise, continue. -11. **Batch and Restart Nodes:** +11. **Categorize and Batch Nodes:** Categorize and batch nodes for restart: - Ensure controllers are restarted sequentially in an order of pure controllers, mixed nodes and the active controller to maintain quorum. - Group broker nodes without common partitions for parallel restart to maintain availability. - - If no safe nodes to restart, check `numRetries`. If exceeded, throw `UnrestartableNodesException`.Otherwise, increment `numRetries` and repeat from step 2. More on safety conditions below. + - If no safe nodes to restart, check `numRetries`. If exceeded, throw `UnrestartableNodesException`. Otherwise, increment `numRetries` and repeat from step 2. More on safety conditions below. 12. **Restart Nodes in Parallel:** Restart broker nodes in the batch: @@ -221,7 +222,7 @@ All the nodes except `mixed-3` have the following Context with `nodeRef` being t nodeRoles: controller state: READY lastTransition: 0123456 - reason: MANUAL_ROLLING_UPDATE + restartReason: MANUAL_ROLLING_UPDATE numRestartAttempts: 0 numReconfigAttempts: 0 numRetries: 0 @@ -232,18 +233,18 @@ The `mixed-3` node has the following context because the operator could not esta nodeRoles: controller,broker state: NOT_RUNNING lastTransition: 0123456 - reason: POD_UNRESPONSIVE + restartReason: POD_UNRESPONSIVE numRestartAttempts: 0 numReconfigAttempts: 0 numRetries: 0 ``` -2. The roller checks if all of the controller nodes are mixed and in `NOT_RUNNING` state. Since they are not and it has `POD_UNRESPONSIVE` reason, it restarts `mixed-3` node and waits for it to have `READY` state. The `mixed-3`'s context becomes: +2. The roller checks if all of the controller nodes are in `NOT_RUNNING` state. Since they are not and `mixed-3` node has `POD_UNRESPONSIVE` reason, it is restarted and waited to have `READY` state. The `mixed-3`'s context becomes: ``` nodeRef: mixed-3/3 nodeRoles: controller,broker state: RESTARTED lastTransition: 654987 - reason: POD_UNRESPONSIVE + restartReason: POD_UNRESPONSIVE numRestartAttempts: 1 numReconfigAttempts: 0 numRetries: 0 @@ -277,7 +278,7 @@ topic("topic-E"), Replicas(6, 10, 11), ISR(6, 10, 11), MinISR(2) nodeRoles: broker state: RECOVERING lastTransition: 987456 - reason: + restartReason: numRestartAttempts: 1 numReconfigAttempts: 0 numRetries: 10 @@ -294,7 +295,7 @@ topic("topic-E"), Replicas(6, 10, 11), ISR(6, 10, 11), MinISR(2) ### Switching from the old KafkaRoller to the new KafkaRoller -The new KafkaRoller will only work with KRaft clusters therefore when running in Zookeeper mode, the current KafkaRoller will be used. Kafka CR's `KafkaMetadataState` represents where the metadata is stored for the cluster. It is set to `KRaft` when a cluster is fully migrated to KRaft or was created in KRaft mode. `KafkaReconciler` will be updated to switch to the new roller based on this state. This means the old KafkaRoller will be used during migration of existing clusters from Zookeeper to KRaft mode and the new roller is used only after the migration is completed and for new clusters created in KRaft mode. +The new KafkaRoller will only work with KRaft clusters therefore when running in Zookeeper mode, the current KafkaRoller will be used. Kafka CR's `KafkaMetadataState` represents where the metadata is stored for the cluster. It is set to `KRaft` when a cluster is fully migrated to KRaft or was created in KRaft mode. `KafkaReconciler` class will be updated to switch to the new roller based on this state. 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zMJVp()YSNVbc+OIJh<9n_~L8Q-b?bIJ9i`C727wtX%evuj3{s>uU$R!6XyYIDdwGl zvP!y&jU<*to|j5eoDa5E@Jd#L-x5d`@YrD7Fz|7=KY-uts8eoPnmrsmd-yR}+&fJQ z+^gEJ_uVpx&t04`zlk>@#KG_A=~sI0Xo3BvX8p%aD7bFF*~u4rfZ)M$Y1w%`Y5zH7 zQ>I?*)&z^NgS~yN16nP!lGK`a>$9oOwTNO3_L@w`lc@UF>6gh62n3rzH~i~Q wP9+Kdr3H|JPYz+7_J6 Date: Thu, 18 Jul 2024 15:55:35 +0300 Subject: [PATCH 13/15] Update the state diagram Signed-off-by: Gantigmaa Selenge --- 06x-new-kafka-roller.md | 6 +++--- images/06x-new-roller-flow.png | Bin 204990 -> 247694 bytes 2 files changed, 3 insertions(+), 3 deletions(-) diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md index b969cc90..3c287110 100644 --- a/06x-new-kafka-roller.md +++ b/06x-new-kafka-roller.md @@ -76,7 +76,7 @@ When a new reconciliation starts up, a context object is created for each node t Context about broker states and restart reasons: - To determine if the node is ready or performing a log recovery, we use the [Broker States](https://github.com/apache/kafka/blob/3.7/metadata/src/main/java/org/apache/kafka/metadata/BrokerState.java) metric emitted by Kafka. KafkaAgent collects and exposes this metric via REST Endpoint. This is what the current KafkaRoller does already, and the new roller will use it the same way. -- If Kafka pod is ready, the restart reasons is checked to determine whether it needs to be restarted The definitions of the possible restart reasons can be found via the following link: [Restart Reasons](https://github.com/strimzi/strimzi-kafka-operator/blob/0.40.0/cluster-operator/src/main/java/io/strimzi/operator/cluster/model/RestartReason.java). This is also what the current KafkaRoller roller does and the new roller will use it the same way. +- If Kafka pod is ready, the restart reasons is checked to determine whether it needs to be restarted. The definitions of the possible restart reasons can be found via the following link: [Restart Reasons](https://github.com/strimzi/strimzi-kafka-operator/blob/0.40.0/cluster-operator/src/main/java/io/strimzi/operator/cluster/model/RestartReason.java). This is also what the current KafkaRoller roller does and the new roller will use it the same way. #### NOT_RUNNING state @@ -231,7 +231,7 @@ The `mixed-3` node has the following context because the operator could not esta ``` nodeRef: mixed-3/3 nodeRoles: controller,broker - state: NOT_RUNNING + state: NOT_READY lastTransition: 0123456 restartReason: POD_UNRESPONSIVE numRestartAttempts: 0 @@ -242,7 +242,7 @@ The `mixed-3` node has the following context because the operator could not esta ``` nodeRef: mixed-3/3 nodeRoles: controller,broker - state: RESTARTED + state: UNKNOWN lastTransition: 654987 restartReason: POD_UNRESPONSIVE numRestartAttempts: 1 diff --git a/images/06x-new-roller-flow.png b/images/06x-new-roller-flow.png index 5e7fc88bd0998dd275bdeceea74ac51b7c3108c0..bbc45a7fa667c27cf4efb4ea3f4bd514d7686d28 100644 GIT binary patch literal 247694 zcmeFZcUTkK)&~p-f>8lWETDj*q98?)UIoihq>}(aKtx(X=sgrs0UO{^0qG#p5<+MR zQUZbk(p5+T2?Q|$QbJDxgz^pNo^$Vg?{~iU{rh{Ko9CI#WM=m4J!|j1)^GjR+IeDT 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z{Ev_S{T{-9{6AjqU%URl{zFe4VukCShyMC&|MPnY2Fn8$@tZ4a*P#Bd?;-q}J|a}K z#d`?B+W*&DWKX~%q*QjT;s58a{omI8uT%cNt^427@_$nIzxU+-F6{r(QU9mw2wM6d eX&Iwjm3f_e*v&}l(l!zNPg!2$LhgCXyZ=8dw%a!V From e9a98595db87ec0bb4543913a9bc65e94961376f Mon Sep 17 00:00:00 2001 From: Gantigmaa Selenge Date: Thu, 1 Aug 2024 14:00:28 +0100 Subject: [PATCH 14/15] Address comments from Tom Updated the text on the diagram Signed-off-by: Gantigmaa Selenge --- 06x-new-kafka-roller.md | 10 +++++++++- images/06x-new-roller-flow.png | Bin 247694 -> 378741 bytes 2 files changed, 9 insertions(+), 1 deletion(-) diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md index 3c287110..355f6d28 100644 --- a/06x-new-kafka-roller.md +++ b/06x-new-kafka-roller.md @@ -102,7 +102,7 @@ The following are the configuration options for the new KafkaRoller. If exposed | maxRetries | 10 | No | The maximum number of times a node can be retried after not meeting the safety conditions e.g. availability check failed. This is checked against the node's `numRetries`. | | operationTimeoutMs | 60 seconds | Yes | The maximum amount of time we will wait for nodes to transition to `READY` state after an operation in each retry. This is already exposed to the user via environment variable `STRIMZI_OPERATION_TIMEOUT_MS`. | | maxRestartParallelism | 1 | Yes | The maximum number of broker nodes that can be restarted in parallel. This will be exposed to the user via the new environment variable `STRIMZI_MAX_RESTART_BATCH_SIZE`. However, if there are multiple brokers in `NOT_RUNNING` state, they may get restarted in parallel despite this configuration for a faster recovery. -| postRestartDelay | 0 | Yes | Delay between restarts of nodes or batches. It's set to 0 by default, but can be adjusted by users to slow down the restarts. This will also help JIT to reach a steady state and to reduce impact on clients. +| postRestartDelay | 0 | Yes | Delay between restarts of nodes or batches. It's set to 0 by default, but can be adjusted by users to slow down the restarts. This will also help Just-In-Time (JIT) compiler to reach a steady state and to reduce impact on clients. | restartAndPreferredLeaderElectionDelay | 10 seconds | No | Delay between restart and triggering partition leader election so that just-rolled broker is leading all the partitions it is the preferred leader for. This is to avoid situations where leaders moving to a newly started node that does not yet have established networking to some outside networks, e.g. through load balancers. ### Algorithm @@ -129,6 +129,8 @@ The following are the configuration options for the new KafkaRoller. If exposed 3. **Handle `NOT_READY` Nodes:** Wait for `NOT_READY` nodes to become `READY` within `operationTimeoutMs`. + This is to give an opportunity for a node to become ready in case it had just been restarted. If the node is still not ready after the timeout, it will fall through to the next step to determine the action to take on it. + 4. **Categorize Nodes:** Group nodes based on their state and connectivity: - `RESTART_NOT_RUNNING`: Nodes in `NOT_READY` state. @@ -138,9 +140,15 @@ The following are the configuration options for the new KafkaRoller. If exposed - `RESTART`: Nodes with reasons for restart and no previous restarts. - `NOP`: Nodes needing no operation. + Grouping the nodes into these categories makes it clearer to take actions on the them in the specific order. Also the category and node state is not always 1:1, for example, nodes might be unresponsive depsite having READY or NOT_READY state but need to be grouped together for sequential restarts. Grouping also makes it to easier to batch broker nodes for parallel restart. + 5. **Wait for Log Recovery:** Wait for `WAIT_FOR_LOG_RECOVERY` nodes to become `READY` within `operationTimeoutMs`. If timeout is reached and `numRetries` exceeds `maxRetries`, throw `UnrestartableNodesException`. Otherwise, increment `numRetries` and repeat from step 2. + A Kafka broker node can take a long time to become ready while performing log recovery and it's not easy to determine how long it might take. Therefore, it's important to avoid restarting the node during this process, as doing so would restart the entire log recovery, potentially causing the node to enter a loop of continuous restarts without becoming ready. Moreover, while a broker node is in recovery, no other node should be restarted, as this could impact cluster availability and affect the client. + + We do not wait for the broker to rejoin the ISR after it becomes ready because the roller's responsibility is to restart the nodes safely, not to manage inter-broker replication. 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z+Zn}=SJhfpmKAGX`lw)O!NIf0f^1-tSZ5pfS`n`*;7H9@)482+2Vi5A_&PM)+Nz#q zi%k+9R$Igb7HnH)JQ30eMru^Todg`XTnCJ{-QQf+w&PWG4e0c1CBUP7@i_g0DI;Un z^?574!X1E(aUlxm^jYUzAn}Lf66EmRrKaHU_LlHgIlQW(fQ|g<%QHQ27y?e84%dOT zS8Vm7YtDF8Wdog_Z6%B?mB79HViquFvi+}Ap(cE^a2rijqlpTVD;-7?6|j##T2cWE zHd>Zczs=qjGB9ujc)B=-U@34%OD#~vGFlZnG>le-po)9JX#0wZWwd<-Y7LGy+65Fw t8||Pj#%QB`w9!7=Xot5ROMD;vXFk7?-Q)7qGh7Tn;OXk;vd$@?2>>i5R)PQk From 6ab8400ecbc08c720be7ab54976f6e60dd3aab57 Mon Sep 17 00:00:00 2001 From: Gantigmaa Selenge Date: Tue, 6 Aug 2024 11:28:06 +0100 Subject: [PATCH 15/15] Tidy up Signed-off-by: Gantigmaa Selenge --- 06x-new-kafka-roller.md | 23 +++++++++++++---------- images/06x-new-roller-flow.png | Bin 378741 -> 394817 bytes 2 files changed, 13 insertions(+), 10 deletions(-) diff --git a/06x-new-kafka-roller.md b/06x-new-kafka-roller.md index 355f6d28..812c4485 100644 --- a/06x-new-kafka-roller.md +++ b/06x-new-kafka-roller.md @@ -68,10 +68,10 @@ When a new reconciliation starts up, a context object is created for each node t | :--------------- | :--------------- | :----------- | | UNKNOWN | The initial state when creating `Context` for a node or state just after the node gets restarted/reconfigured. We expect to transition from this state fairly quickly. | `NOT_RUNNING` `NOT_READY` `RECOVERING` `READY` | | NOT_RUNNING | Node is not running (Kafka process is not running). This is determined via Kubernetes API, more details for it below. | `READY` `UNKNOWN` `NOT_READY` `RECOVERING` | - | NOT_READY | Node is running but not ready to serve requests which is determined by Kubernetes readiness probe (broker state is not RUNNING OR controller is not listening on port). | `READY` `UNKNOWN` `NOT_RUNNING` `RECOVERING` | - | RECOVERING | Node has started but is in log recovery (broker state == 2). This is determined via the KafkaAgent. | `READY` `NOT_RUNNING` `NOT_READY` | - | READY | Node is in running state and ready to serve requests which is determined by Kubernetes readiness probe (broker state is RUNNING OR controller is listening on port). | `LEADING_ALL_PREFERRED` `UNKNOWN` | - | LEADING_ALL_PREFERRED | Node is leading all the partitions that it is the preferred leader for. Node's state can transition into this only from `READY` state. | This is the final state we expect + | NOT_READY | Node is running but not ready to serve requests which is determined by Kubernetes readiness probe (broker state is not `RUNNING` or controller is not listening on port). | `READY` `UNKNOWN` `NOT_RUNNING` `RECOVERING` | + | RECOVERING | Node has started but is in log recovery (broker state is `RECOVERY`). This is determined via the KafkaAgent. | `READY` `NOT_RUNNING` `NOT_READY` | + | READY | Node is in running state and ready to serve requests which is determined by Kubernetes readiness probe (broker state is `RUNNING` or controller is listening on port). | `LEADING_ALL_PREFERRED` `UNKNOWN` | + | LEADING_ALL_PREFERRED | Node is leading all the partitions that it is the preferred leader for. This is determined via Admin API. Node's state can transition into this only from `READY` state. | This is the final state we expect for broker nodes. Context about broker states and restart reasons: - To determine if the node is ready or performing a log recovery, we use the [Broker States](https://github.com/apache/kafka/blob/3.7/metadata/src/main/java/org/apache/kafka/metadata/BrokerState.java) metric emitted by Kafka. KafkaAgent collects and exposes this metric via REST Endpoint. This is what the current KafkaRoller does already, and the new roller will use it the same way. @@ -85,7 +85,8 @@ If one of the following is true, then node's state is `NOT_RUNNING`: - unable to get the `Pod Status` for the pod - the pod has `Pending` status with `Unschedulable` reason - the pod has container status `ContainerStateWaiting` with `CrashLoopBackOff` or `ImagePullBackOff` reason -If none of the above is true but the node is not ready, then its state would be `NOT_READY`. + +If none of the above is true but the node state is `NOT_READY`. #### High level flow diagram describing the flow of the states ![The new roller flow](./images/06x-new-roller-flow.png) @@ -137,10 +138,10 @@ The following are the configuration options for the new KafkaRoller. If exposed - `WAIT_FOR_LOG_RECOVERY`: Nodes in `RECOVERING` state. - `RESTART_UNRESPONSIVE`: Nodes unresponsive via Admin API. - `MAYBE_RECONFIGURE_OR_RESTART`: Broker nodes with empty reason lists and no previous restarts/reconfigurations. - - `RESTART`: Nodes with reasons for restart and no previous restarts. - - `NOP`: Nodes needing no operation. + - `RESTART`: Nodes with reasons for restart, and either no previous restarts or not in `READY` or `LEADING_ALL_PREFERRED` state. + - `NOP`: Nodes with no reasons for restart, or has been restarted and in `READY` or `LEADING_ALL_PREFERRED` state. - Grouping the nodes into these categories makes it clearer to take actions on the them in the specific order. Also the category and node state is not always 1:1, for example, nodes might be unresponsive depsite having READY or NOT_READY state but need to be grouped together for sequential restarts. Grouping also makes it to easier to batch broker nodes for parallel restart. + Grouping the nodes into these categories makes it clearer to take actions on the them in the specific order. Also the category and node state is not always 1:1, for example, nodes might be unresponsive despite having `READY` or `NOT_READY` state but need to be grouped together for sequential restarts. Grouping also makes it to easier to batch broker nodes for parallel restart. 5. **Wait for Log Recovery:** Wait for `WAIT_FOR_LOG_RECOVERY` nodes to become `READY` within `operationTimeoutMs`. If timeout is reached and `numRetries` exceeds `maxRetries`, throw `UnrestartableNodesException`. Otherwise, increment `numRetries` and repeat from step 2. @@ -200,6 +201,8 @@ The quorum health logic is similar to the current KafkaRoller except for a coupl Also the current KafkaRoller does not connect to the controller via Admin API to get the quorum health information. By the time, we implement this proposal, Strimzi should support Kafka 3.7 which includes [KIP 919](https://cwiki.apache.org/confluence/display/KAFKA/KIP-919%3A+Allow+AdminClient+to+Talk+Directly+with+the+KRaft+Controller+Quorum+and+add+Controller+Registration). Therefore new KafkaRoller will be able to connect to the controller directly for quorum information and active controller's configuration. +### Safety conditions + #### Availability check The availibility check logic similar to the current KafkaRoller. The ISRs that the broker is part of is checked against the configured under minimum ISR size. If `size(ISR containing the broker) - minISR > 0`, the broker can be considered safe to restart. If it equals to 0, restarting the broker could cause under minimum ISR partition. If it's less than 0, it means the partition is already under minimum ISR and restarting it would either not make a difference or make things worse. In both cases, the broker should not be restarted. @@ -293,8 +296,8 @@ topic("topic-E"), Replicas(6, 10, 11), ISR(6, 10, 11), MinISR(2) ``` 15. The `maxRetries` of 10 is reached for `broker-6`, therefore the roller throws `UnrestartableNodesException` and the reconciliation fails. The operator logs the number of remaining segments and logs to recover. 16. When the next reconciliation starts, all the nodes are observed and their contexts are updated. `broker-6` node has finished performing log recovery therefore have `READY` state. All nodes have `READY` state and no reason to restart except `broker-9` and `broker-10`. -17. Broker nodes that have no reason to restart are checked if their configurations have been updated. The `min.insync.replicas` has been updated to 1 therefore the roller sends a request containing the configuration update to the brokers and then transitions nodes' state to `RECONFIGURED`. -18. Observe the broker nodes that have configuration updated, and wait until they have `LEADING_ALL_PREFERRED` state. +17. Broker nodes that have no reason to restart are checked if their configurations have been updated. The `min.insync.replicas` has been updated to 1 therefore the roller sends a request containing the configuration update to the brokers and then transitions nodes' state to `UNKNOWN`. +18. Observe the broker nodes that have configuration updated, and ensure that they still have `READY` state. 19. The roller considers restarting `broker-10` and `broker-9` as they still have `MANUAL_ROLLING_UPDATE` reason. 20. It sends requests to describe all the topic partitions and their `min.insync.replicas` configuration and finds that all topic partitions are fully replicated. 21. 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