mirror of
https://github.com/fluencelabs/wasmer
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40 lines
1.7 KiB
Markdown
40 lines
1.7 KiB
Markdown
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# Dockerfile Documentation
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The `Dockerfile` included in the project root directory could be used for development purposes or to build a small image containing the `wasmer` executable.
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The `wasmer-build-env` stage in the Dockerfile contains the dependencies needed to compile Wasmer including LLVM.
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The `wasmer-debug-env` stage adds the `valgrind` profiling tool to the `wasmer-build-env` stage.
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The `wasmer-build` stage in the Dockerfile will copy the current directory, assuming the build context is the `wasmer` project, and build the project using `cargo build --release`.
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The `wasmer` stage will copy the resulting `wasmer` executable from the `wasmer-build` stage into a new base image to create a smaller image containing `wasmer`.
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## Example Usages
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### Wasmer image
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1. From the `wasmer` project directory, build the image:
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`docker build -t wasmer --target=wasmer .`
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2. List options:
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`docker run wasmer --help`
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3. Mount a directory, and run an example wasm file:
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`docker run -v /Users/admin/Documents/wasmer-workspace:/root/wasmer-workspace wasmer run /root/wasmer-workspace/examples/hello.wasm`
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### Profiling
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1. Build `wasmer-debug-env`:
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`docker build --tag=wasmer-debug-env --target wasmer-debug-env .`
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2. Mount a directory from the host and run interactively:
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`docker run -it -v /Users/admin/Documents/wasmer-workspace:/home/circleci/wasmer-workspace wasmer-debug-env /bin/bash`
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3. Inside the container, build `wasmer` and run profiling tool:
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```
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cd /home/circleci/wasmer-workspace/wasmer`
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cargo build
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valgrind --tool=callgrind --dump-instr=yes --collect-jumps=yes --simulate-cache=yes target/debug/wasmer run test.wasm
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```
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The `callgrind.out` can be viewed with the `qcachegrind` tool on Mac OS (`brew install qcachegrind`).
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