mirror of
https://github.com/denoland/deno.git
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171 lines
3.6 KiB
Markdown
171 lines
3.6 KiB
Markdown
## Testing and Tools
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### Tests
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Test `deno`:
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```shell
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# Run the whole suite:
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cargo test
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# Only test cli/js/:
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cargo test js_unit_tests
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```
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Test `std/`:
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```shell
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cargo test std_tests
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```
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### Lint and format
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Lint the code:
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```shell
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./tools/lint.py
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```
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Format the code:
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```shell
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./tools/format.py
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```
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### Profiling
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To start profiling,
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```sh
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# Make sure we're only building release.
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# Build deno and V8's d8.
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ninja -C target/release d8
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# Start the program we want to benchmark with --prof
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./target/release/deno run tests/http_bench.ts --allow-net --v8-flags=--prof &
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# Exercise it.
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third_party/wrk/linux/wrk http://localhost:4500/
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kill `pgrep deno`
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```
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V8 will write a file in the current directory that looks like this:
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`isolate-0x7fad98242400-v8.log`. To examine this file:
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```sh
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D8_PATH=target/release/ ./third_party/v8/tools/linux-tick-processor
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isolate-0x7fad98242400-v8.log > prof.log
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# on macOS, use ./third_party/v8/tools/mac-tick-processor instead
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```
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`prof.log` will contain information about tick distribution of different calls.
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To view the log with Web UI, generate JSON file of the log:
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```sh
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D8_PATH=target/release/ ./third_party/v8/tools/linux-tick-processor
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isolate-0x7fad98242400-v8.log --preprocess > prof.json
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```
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Open `third_party/v8/tools/profview/index.html` in your browser, and select
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`prof.json` to view the distribution graphically.
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Useful V8 flags during profiling:
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- --prof
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- --log-internal-timer-events
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- --log-timer-events
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- --track-gc
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- --log-source-code
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- --track-gc-object-stats
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To learn more about `d8` and profiling, check out the following links:
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- [https://v8.dev/docs/d8](https://v8.dev/docs/d8)
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- [https://v8.dev/docs/profile](https://v8.dev/docs/profile)
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### Debugging with LLDB
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We can use LLDB to debug Deno.
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```shell
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$ lldb -- target/debug/deno run tests/worker.js
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> run
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> bt
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> up
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> up
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> l
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```
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To debug Rust code, we can use `rust-lldb`. It should come with `rustc` and is a
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wrapper around LLDB.
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```shell
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$ rust-lldb -- ./target/debug/deno run --allow-net tests/http_bench.ts
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# On macOS, you might get warnings like
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# `ImportError: cannot import name _remove_dead_weakref`
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# In that case, use system python by setting PATH, e.g.
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# PATH=/System/Library/Frameworks/Python.framework/Versions/2.7/bin:$PATH
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(lldb) command script import "/Users/kevinqian/.rustup/toolchains/1.36.0-x86_64-apple-darwin/lib/rustlib/etc/lldb_rust_formatters.py"
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(lldb) type summary add --no-value --python-function lldb_rust_formatters.print_val -x ".*" --category Rust
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(lldb) type category enable Rust
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(lldb) target create "../deno/target/debug/deno"
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Current executable set to '../deno/target/debug/deno' (x86_64).
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(lldb) settings set -- target.run-args "tests/http_bench.ts" "--allow-net"
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(lldb) b op_start
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(lldb) r
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```
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### V8 flags
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V8 has many many internal command-line flags.
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```shell
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# list available v8 flags
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$ deno --v8-flags=--help
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# example for applying multiple flags
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$ deno --v8-flags=--expose-gc,--use-strict
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```
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Particularly useful ones:
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```
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--async-stack-trace
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```
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### Continuous Benchmarks
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See our benchmarks [over here](https://deno.land/benchmarks)
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The benchmark chart supposes
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https://github.com/denoland/benchmark_data/blob/gh-pages/data.json has the type
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`BenchmarkData[]` where `BenchmarkData` is defined like the below:
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```ts
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interface ExecTimeData {
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mean: number;
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stddev: number;
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user: number;
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system: number;
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min: number;
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max: number;
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}
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interface BenchmarkData {
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created_at: string;
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sha1: string;
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benchmark: {
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[key: string]: ExecTimeData;
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};
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binarySizeData: {
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[key: string]: number;
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};
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threadCountData: {
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[key: string]: number;
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};
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syscallCountData: {
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[key: string]: number;
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};
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}
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```
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