go-langserver is a Go language server that speaks Language Server Protocol. It supports editor features such as go-to-definition, hover, and find-references for Go projects.
To build and install the standalone go-langserver
run
go get -u github.com/sourcegraph/go-langserver
Hover | Jump to def | Find references | Workspace symbols | VFS extension | Isolated | Parallel | |
---|---|---|---|---|---|---|---|
Go | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ | ✔ |
If you are a client wanting to integrate go-langserver, you can use the following as initializationOptions
in your initialize request to adjust the behaviour:
interface GoInitializationOptions {
/**
* funcSnippetEnabled enables the returning of argument snippets
* on `func` completions, eg. func(foo string, arg2 bar).
* Requires code completion to be enabled.
*
* Defaults to true if not specified.
*/
funcSnippetEnabled?: boolean;
/**
* gocodeCompletionEnabled enables code completion feature (using gocode).
*
* Defaults to false if not specified.
*/
gocodeCompletionEnabled?: boolean;
/**
* MaxParallelism controls the maximum number of goroutines that should be used
* to fulfill requests. This is useful in editor environments where users do
* not want results ASAP, but rather just semi quickly without eating all of
* their CPU.
*
* Defaults to half of your CPU cores if not specified.
*/
maxParallelism?: number;
/**
* useBinaryPkgCache controls whether or not $GOPATH/pkg binary .a files should
* be used.
*
* Defaults to true if not specified.
*/
useBinaryPkgCache?: boolean;
}
If you run into performance issues while using the language server, it can be very helpful to attach a CPU or memory profile with the issue report. To capture one, first install Go and then:
Capture a heap (memory) profile:
go tool pprof -svg $GOPATH/bin/go-langserver http://localhost:6060/debug/pprof/heap > heap.svg
Capture a CPU profile:
go tool pprof -svg $GOPATH/bin/go-langserver http://localhost:6060/debug/pprof/profile > cpu.svg
Since these capture the active resource usage, it's best to run these commands while the issue is occurring (i.e. while memory or CPU is high).