Kyle Brandt
Kyle Brandt

Reputation: 28407

Interpreting pprof heap diagrams

When I profile the heap in go with pprof I get the following:

enter image description here

However, I'm not clear on how to interpret that visualization. In particular:

"The memory next to the arrows means _____ and the memory inside of a box means ______. So when a box has multiple arrows from it, it means _____, and when it has multiple arrows to it, it means _____".

Upvotes: 10

Views: 6137

Answers (1)

Dimitar Dimitrov
Dimitar Dimitrov

Reputation: 16357

  1. the perceived cumulative memory consumption of this function including all of its subfunctions
  2. the perceived memory consumption of this function excluding all of its subfunctions
  3. that it calls multiple subfunctions
  4. that multiple functions call it

No difference between the meaning of the arrows between the heap and the CPU profiling mode.

You may be interested in the output of the top pprof command, which can give you results in the following form:

9701.61kB of 9701.61kB total (  100%) Dropped 112 nodes (cum <=
48.51kB) Showing top 10 nodes out of 29 (cum >= 3611.54kB)
      flat  flat%   sum%        cum   cum%
 4549.72kB 46.90% 46.90%  4549.72kB 46.90%  mystery.function
 2587.52kB 26.67% 73.57%  2587.52kB 26.67%  reflect.unsafe_NewArray
 1024.02kB 10.56% 84.12%  1024.02kB 10.56%  encoding/xml.copyValue
     514kB  5.30% 89.42%      514kB  5.30%  compress/gzip.NewReader
     514kB  5.30% 94.72%      514kB  5.30%  net/http.(*Transport).dialConn
  512.34kB  5.28%   100%   512.34kB  5.28%  runtime.makeslice
         0     0%   100%      514kB  5.30%  bytes.(*Buffer).ReadFrom
         0     0%   100%  3611.54kB 37.23%  encoding/xml.(*Decoder).Decode
         0     0%   100%  3611.54kB 37.23%  encoding/xml.(*Decoder).DecodeElement
         0     0%   100%  3611.54kB 37.23%  encoding/xml.(*Decoder).unmarshal

And here are (IMHO) the two best references for Go heap profiling with pprof:

  1. https://google-perftools.googlecode.com/svn/trunk/doc/heapprofile.html
  2. https://software.intel.com/en-us/blogs/2014/05/10/debugging-performance-issues-in-go-programs

Upvotes: 19

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