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Package and command line tool to count lines of code in files and directories fast, in parallel; written in Go.

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glocc

Go Report Card GoDoc

glocc is a package implementing a relatively fast, parallel counter of lines of code in files and directories.

It also includes a command line tool, glocc, which is handy for performing such counting and pretty (brief or extensive) printing of the results.

glocc is an aggressively parallel solution to an embarrassingly parallel problem. The count of every file and every subdirectory is assigned to a separate goroutine. All spawned goroutines are properly synchronized and their independent results are merged later, on a higher level (level = on a per-subdirectory basis).

It was originally written for use with personal projects and small codebases, and also to get in touch with the Go programming language. Performance-wise, it can be further improved (and hopefully will be, when I have more time).

Contents

Command line tool

Simply run it with any number of files or directories as command line arguments:

$ glocc ~/foo src/bar

By default, only a summary of all the counting process is printed (to the standard output). To have the extensive results printed in a tree-like format, the -a command line flag can be used:

$ glocc -a baz.go ~/src/foo

The results can be printed in YAML (default) or JSON format, using the -o flag:

$ glocc -o json ~/bar

Running it with the -h flag shows all options available.

Installation

To install both the package and the command line tool, assuming that the Go tools are properly installed, it should be as easy as typing:

$ go get -u github.com/ckatsak/glocc/...

Platforms

Until now, it has been tested only with Go v1.9.1 or later, on linux/amd64.

Supported Languages

  • Ada
  • Assembly
  • AWK
  • C
  • C++
  • C#
  • D (not the ddoc comments)
  • Delphi
  • Dockerfile
  • Eiffel
  • Elixir
  • Erlang
  • Go
  • Haskell
  • HTML
  • Java
  • Javascript
  • JSON
  • Kotlin
  • Lisp
  • Makefile
  • Matlab
  • OCaml
  • Perl (not __END__ comments)
  • PHP
  • PowerShell
  • Protocol Buffers
  • Python
  • R
  • Ruby (not __END__ comments)
  • Rust
  • Scala
  • Scheme
  • shell scripts
  • SQL
  • Standard ML
  • TeX
  • Tcl
  • YAML

Using the glocc package

For use as a package, glocc exports func CountLoc(root string) DirResult, which, given a root directory, returns a struct of type DirResult, a custom (recursive) type that contains the results of counting all lines of code under this root directory.

It also exports EnableLogging() and DisableLogging() functions, to enable and disable verbose logging to standard error, respectively, using a package-level logger. Note that verbose logging includes details about every line of every file visited, which might be quite ...verbose, and not that useful.

Known Issues

  • For now, nested block comments are not supported for the languages (in the above list) that permit it.

  • For now, really huge source trees, like the Linux kernel source tree, might rarely cause glocc to crash, due the big number of blocked OS threads trying to handle the huge number of goroutines spawned. To be more precise, the exact problem is reported as:

$ glocc ./linux
runtime: program exceeds 10000-thread limit
fatal error: thread exhaustion

It cannot occur in small and medium-sized codebases, and it's also unlikely to occur in bigger ones too. Just be warned. I plan to hack around this problem once I have the time; maybe using some kind of pool or something, or by spawning the goroutines in some clever way. As long as this note is here though, the bug is probably still around. Theoretically, a quick and dirty solution would be to increase the number of operating system threads that a Go program can use, using the SetMaxThreads() function in package runtime/debug; the default value is set to 10000 threads. However, mind that (quoted from the official documentation):

SetMaxThreads is useful mainly for limiting the damage done by programs that create an unbounded number of threads. The idea is to take down the program before it takes down the operating system.

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Package and command line tool to count lines of code in files and directories fast, in parallel; written in Go.

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