tjh.dev
1{ lib
2, buildGoModule
3, fetchFromGitHub
4}:
5
6buildGoModule rec {
7 pname = "pprof";
8 version = "0-unstable-2024-07-10";
9
10 src = fetchFromGitHub {
11 owner = "google";
12 repo = "pprof";
13 rev = "f6c9dda6c6da638264f96f1097bce50fd82b4927";
14 hash = "sha256-jxPl3e9aYRWyR7vkz+15aZiG331WnrNkMW8vwbcldfY=";
15 };
16
17 postPatch = ''
18 rm -rf browsertests # somewhat independent module to ignore.
19 '';
20
21 vendorHash = "sha256-oOjkjVb3OIGMwz3/85KTewXISpBZM3o1BfFG9aysFbo=";
22
23 meta = with lib; {
24 description = "Tool for visualization and analysis of profiling data";
25 homepage = "https://github.com/google/pprof";
26 license = licenses.asl20;
27 longDescription = ''
28 pprof reads a collection of profiling samples in profile.proto format and
29 generates reports to visualize and help analyze the data. It can generate
30 both text and graphical reports (through the use of the dot visualization
31 package).
32
33 profile.proto is a protocol buffer that describes a set of callstacks and
34 symbolization information. A common usage is to represent a set of sampled
35 callstacks from statistical profiling. The format is described on the
36 proto/profile.proto file. For details on protocol buffers, see
37 https://developers.google.com/protocol-buffers
38
39 Profiles can be read from a local file, or over http. Multiple profiles of
40 the same type can be aggregated or compared.
41
42 If the profile samples contain machine addresses, pprof can symbolize them
43 through the use of the native binutils tools (addr2line and nm).
44
45 This is not an official Google product.
46 '';
47 mainProgram = "pprof";
48 maintainers = with maintainers; [ hzeller ];
49 };
50}