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DFS: Update pilot config for the compaction feature #232

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DFS: Update pilot config for the compaction feature #232

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79fc9bd
Add suggested Iceberg engine and workload management config for pilots
pvallone Nov 20, 2024
b2d27ed
Add placeholder values in systemlink-values.yaml template
cameronwaterman Dec 9, 2024
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19 changes: 18 additions & 1 deletion getting-started/templates/pilot-sizing.yaml
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Original file line number Diff line number Diff line change
Expand Up @@ -8,7 +8,7 @@
# kubernetes cluster nodes. The cluster is intended to be deployed
# with the following node topology:
# 4 nodes - 8 CPU, 32 GB memory - General node pool
# 2 nodes - 8 CPU, 32 GB memory - Dedicated for Dremio
# 3 nodes - 8 CPU, 32 GB memory - Dedicated for Dremio
#
# Pilot deployments use managed MongoDB Atlas or MongoDB Enterprise.
# As such, the MongoDB resources are not specified in this file.
Expand Down Expand Up @@ -134,6 +134,13 @@ dataframeservice:
maxReplicas: 2
targetCPUUtilizationPercentage: 60
targetMemoryUtilizationPercentage: 70

queryEngine:
workloadManagement:
writeQueue:
concurrencyLimit: 5
optimizeQueue:
concurrencyLimit: 4

sldremio:
coordinator:
Expand All @@ -145,6 +152,16 @@ dataframeservice:
cpu: 4
memory: 31000
volumeSize: "50Gi"
engines:
- default
- iceberg
engineOverride:
iceberg:
count: 2
cpu: 4
memory: 16384
heapMemoryOverride: 10000
directMemoryOverride: 5000
zookeeper:
count: 1
# The above is the recommended configuration for pilot deployments.
Expand Down
38 changes: 34 additions & 4 deletions getting-started/templates/systemlink-values.yaml
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Expand Up @@ -761,6 +761,26 @@ dataframeservice:
##
region: "us-east-1"

## Configure the Dremio query engine
##
# queryEngine:
## Configuration for Dremio Workload Management. This is used
## to isolate operations related to data ingestion from queries. For more
## information, see https://docs.dremio.com/current/admin/workloads/workload-management/
# workloadManagement:
## COPY INTO jobs are targeted to this queue. Increase the concurrency limit
## to make newly ingested data available for query faster. This may require
## adding more resources to the engine the query is targeting.
# writeQueue:
# concurrencyLimit: 5
# engineName: "iceberg"
## Compaction jobs are targeted to this queue. Increase the concurrency limit
## to make newly ingested data available for query faster. This may require
## adding more resources to the engine the query is targeting.
# optimizeQueue:
# concurrencyLimit: 4
# engineName: "iceberg"

## Configure Dremio access
##
sldremio:
Expand All @@ -774,12 +794,22 @@ dataframeservice:
# coordinator:
# cpu: 15
# memory: 122800
# volumeSize: 128Gi
# volumeSize: 256Gi
# executor:
# count: 4
# count: 3
# cpu: 15
# memory: 122800
# volumeSize: 128Gi
# memory: 73728
# volumeSize: 256Gi
# engines:
# - default
# - iceberg
# engineOverride:
# iceberg:
# count: 4
# cpu: 9
# memory: 32768
# heapMemoryOverride: 20000
# directMemoryOverride: 10000
## CPU and memory allocated to each zookeeper pod, expressed in CPU cores and MB respectively.
## Count should correspond with the number of nodes that received the "high.mem" label.
# zookeeper:
Expand Down
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