The Second State VM (SSVM) is a high-performance WebAssembly runtime optimized for server-side applications. This project provides support for accessing SSVM as a Node.js addon. It allows Node.js applications to call WebAssembly functions written in Rust or other high-performance languages. Why do you want to run WebAssembly on the server-side? The SSVM addon could interact with the wasm files generated by the ssvmup compiler tool.
SSVM Node.js Addon is in active development.
In the current stage, our prebuilt version only supports x86_64 Linux.
Or you could use --build-from-source
flag to build from source during addon installation.
After SSVM Napi 0.4.0 release, we upgrade the base image from Ubuntu 18.04
to Ubuntu 20.04
.
Users should install the dependencies by the following requirments:
- boost >= 1.65.0
- llvm >= 10
- liblld-10-dev >= 10
- libstdc++6 >= 6.0.28 (GLIBCXX >= 3.4.28)
- g++ version >= 9.0 (Optional, if you have to build from source)
For the tensorflow extensions:
- libpng-dev
- libjpeg-dev
- libtensorflow.so
- Please refer to the TensorFlow website for more details
wget https://storage.googleapis.com/tensorflow/libtensorflow/libtensorflow-cpu-linux-x86_64-2.4.0.tar.gz \ && tar -C /usr/local -xzf libtensorflow-cpu-linux-x86_64-2.4.0.tar.gz \ && ldconfig
- libtensorflowlite_c.so
- You can use the following commands to get libtensorflowlite_c.so
# Download TensorFlow deps wget https://github.com/second-state/ssvm-tensorflow-deps/releases/download/0.1.0/ssvm-tensorflow-deps-lite-0.1.0-linux-x64.tar.gz tar -zxvf ssvm-tensorflow-deps-lite-0.1.0-linux-x64.tar.gz cp ./libtensorflowlite_c.so /usr/local/lib
$ docker pull secondstate/ssvm-extensions
# Or you can build it on your local environment.
$ docker build . -f utils/docker/Dockerfile -t secondstate/ssvm-extensions
$ sudo apt list | grep llvm
...omitted...
llvm-dev/focal,now 1:10.0-50~exp1 amd64 [installed]
llvm-runtime/focal,now 1:10.0-50~exp1 amd64 [installed,automatic]
llvm/focal,now 1:10.0-50~exp1 amd64 [installed,automatic]
...omitted...
# If the version is 1:10.x, then your llvm version is correct.
$ strings /usr/lib/x86_64-linux-gnu/libstdc++.so.6 | grep GLIBCXX
...omitted...
GLIBCXX_3.4.24
GLIBCXX_3.4.25
GLIBCXX_3.4.26
GLIBCXX_3.4.27
GLIBCXX_3.4.28
GLIBCXX_DEBUG_MESSAGE_LENGTH
# If you can find GLIBCXX_3.4.28 in the output, then your libstdc++6 version is correct.
Please refer to Tutorial: A Wasm-Bindgen application.
Please refer to Tutorial: A standalone wasm32-wasi application.
- Create a ssvm instance by given wasm file and options.
- Arguments:
wasm
: Input wasm file, can be the following two formats:- Wasm file path (String, e.g.
/tmp/hello.wasm
) - Wasm bytecode format which is the content of a wasm binary file (Uint8Array)
- Wasm file path (String, e.g.
options
: An options object for setup the SSVM execution environment.options
args
: An array of strings that Wasm application will get as function arguments. Default:[]
.env
: An object likeprocess.env
that Wasm application will get as its environment variables. Default:{}
.preopens
: An object which maps '<guest_path>:<host_path>'. E.g.{'/sandbox': '/some/real/path/that/wasm/can/access'}
Default:{}
.EnableWasiStartFunction
: This option will disable wasm-bindgen mode and prepare the working environment for standalone wasm program. If you want to run an appliation withmain()
, you should set this totrue
. Default:false
.EnableAOT
: This option will enable ssvm aot mode. Default:false
.EnableMeasurement
: This option will enable measurement but decrease its performance. Default:false
.AllowCommands
: An array of strings that indicate what commands are allowed to execute in the SSVM Process Module. Default[]
.AllowAllCommands
: Allow users to call any command in the SSVM Process Module. This option will overwrite theAllowCommands
. Default:false
.
- Return value:
vm_instance
: A ssvm instance.
- Emit
_start()
and expect the return value type isInteger
which represents the error code frommain()
. - Arguments:
- If you want to append arguments for the standalone wasm program, please set the
args
inwasi options
.
- If you want to append arguments for the standalone wasm program, please set the
- Example:
let error_code = Start();
- Emit
function_name
withargs
and expect the return value type isvoid
. - Arguments:
function_name
: The function name which users want to emit.args
<Integer/String/Uint8Array>*: The function arguments. The delimiter is,
- Example:
Run("Print", 1234);
- Emit
function_name
withargs
and expect the return value type isInteger
(Int32). - Arguments:
function_name
: The function name which users want to emit.args
<Integer/String/Uint8Array>*: The function arguments. The delimiter is,
- Example:
let result = RunInt("Add", 1, 2);
// result should be 3
- Emit
function_name
withargs
and expect the return value type isInteger
(UInt32). - Arguments:
function_name
: The function name which users want to emit.args
<Integer/String/Uint8Array>*: The function arguments. The delimiter is,
- Example:
let result = RunInt("Add", 1, 2);
// result should be 3
- Emit
function_name
withargs
and expect the return value type isBigInt
(Int64). - Arguments:
function_name
: The function name which users want to emit.args
<Integer/String/Uint8Array>*: The function arguments. The delimiter is,
- Example:
let result = RunInt("Add", 1, 2);
// result should be 3
- Emit
function_name
withargs
and expect the return value type isBigInt
(UInt64). - Arguments:
function_name
: The function name which users want to emit.args
<Integer/String/Uint8Array>*: The function arguments. The delimiter is,
- Example:
let result = RunInt("Add", 1, 2);
// result should be 3
- Emit
function_name
withargs
and expect the return value type isString
. - Arguments:
function_name
: The function name which users want to emit.args
<Integer/String/Uint8Array>*: The function arguments. The delimiter is,
- Example:
let result = RunString("PrintMathScore", "Amy", 98);
// result: "Amy’s math score is 98".
- Emit
function_name
withargs
and expect the return value type isUint8Array
. - Arguments:
function_name
: The function name which users want to emit.args
<Integer/String/Uint8Array>*: The function arguments. The delimiter is,
- Example:
let result = RunUint8Array("Hash", "Hello, world!");
// result: "[12, 22, 33, 42, 51]".
- Compile a given wasm file (can be a file path or a byte array) into a native binary whose name is the given
output_filename
. - This function uses SSVM AOT compiler.
- Return
false
when the compilation failed.
// Compile only
let vm = ssvm.VM("/path/to/wasm/file", options);
vm.Compile("/path/to/aot/file");
// When you want to run the compiled file
let vm = ssvm.VM("/path/to/aot/file", options);
vm.RunXXX("Func", args);
- If you want to enable measurement, set the option
EnableMeasurement
totrue
. But please notice that enabling measurement will significantly affect performance. - Get the statistics of execution runtime.
- Return Value
Statistics
Measure
-> : To show if the measurement is enabled or not.TotalExecutionTime
-> : Total execution time (Wasm exeuction time + Host function execution time) inns
unit.WasmExecutionTime
-> : Wasm instructions execution time inns
unit.HostFunctionExecutionTime
-> : Host functions (e.g. eei or wasi functions) execution time inns
unit.InstructionCount
-> : The number of executed instructions in this execution.TotalGasCost
-> : The cost of this execution.InstructionPerSecond
-> : The instructions per second of this execution.
let result = RunInt("Add", 1, 2); // result should be 3 let stat = GetStatistics(); /* If the `EnableMeasurement: true`: stat = Statistics: { Measure: true, TotalExecutionTime: 1512, WasmExecutionTime: 1481, HostFunctionExecutionTime: 31, InstructionCount: 27972, TotalGasCost: 27972, InstructionPerSecond: 18887238.35246455 } Else: stat = Statistics: { Measure: false } */