README ¶
Memory Tracing
There is no way to identify specifically in the code where a leak is occurring. We can validate if a memory leak is present and which functions or methods are producing the most allocations.
GODEBUG
To validate any sort of potential memory problems, including memory leaks, use the GODEBUG environmental variable.
Setting gctrace=1 causes the garbage collector to emit a single line to standard error at each collection, summarizing the amount of memory collected and the length of the pause. Setting gctrace=2 emits the same summary but also repeats each collection. The format of this line is subject to change:
export GODEBUG=gctrace=1
gc # @#s #%: #+...+# ms clock, #+...+# ms cpu, #->#-># MB, # MB goal, # P
Where the fields are as follows:
gc # the GC number, incremented at each GC
@#s time in seconds since program start
#% percentage of time spent in GC since program start
#+...+# wall-clock/CPU times for the phases of the GC
#->#-># MB heap size at GC start, at GC end, and live heap
# MB goal goal heap size
# P number of processors used
wall-clock time is a measure of the real time that elapses from start to end, including time that passes due to programmed (artificial) delays or waiting for resources to become available. https://en.wikipedia.org/wiki/Wall-clock_time
CPU time (or process time) is the amount of time for which a central processing unit (CPU) was used for processing instructions of a computer program or operating system, as opposed to, for example, waiting for input/output (I/O) operations or entering low-power (idle) mode. https://en.wikipedia.org/wiki/CPU_time
You can get more details by adding the gcpacertrace=1 flag. This causes the garbage collector to print information about the internal state of the concurrent pacer.
export GODEBUG=gctrace=1,gcpacertrace=1
Sample output:
gc 5 @0.071s 0%: 0.018+0.46+0.071 ms clock, 0.14+0/0.38/0.14+0.56 ms cpu, 29->29->29 MB, 30 MB goal, 8 P
pacer: sweep done at heap size 29MB; allocated 0MB of spans; swept 3752 pages at +6.183550e-004 pages/byte
pacer: assist ratio=+1.232155e+000 (scan 1 MB in 70->71 MB) workers=2+0
pacer: H_m_prev=30488736 h_t=+2.334071e-001 H_T=37605024 h_a=+1.409842e+000 H_a=73473040 h_g=+1.000000e+000 H_g=60977472 u_a=+2.500000e-001 u_g=+2.500000e-001 W_a=308200 goalΔ=+7.665929e-001 actualΔ=+1.176435e+000 u_a/u_g=+1.000000e+000
Notes:
In C++, a memory leak is memory you have lost a reference to.
In Go, a memory leak is memory you retain a reference to.
Running a GODEBUG GC Trace
go build
GODEBUG=gctrace=1 ./gctrace
gc 1 @0.009s 1%: 0.059+0.17+0.005+0.24+0.12 ms clock, 0.17+0.17+0+0/0.36/0.067+0.38 ms cpu, 5->5->3 MB, 4 MB goal, 8 P
gc 2 @0.017s 1%: 0.037+0.096+0.098+0.21+0.086 ms clock, 0.22+0.096+0+0.10/0.31/0.091+0.51 ms cpu, 8->8->7 MB, 7 MB goal, 8 P
gc 3 @0.032s 1%: 0.020+0.16+0.007+0.25+0.090 ms clock, 0.14+0.16+0+0/0.20/0.27+0.63 ms cpu, 17->17->14 MB, 14 MB goal, 8 P
gc 4 @0.066s 0%: 0.029+0.17+0.074+0.48+0.10 ms clock, 0.20+0.17+0+0/0.42/0.26+0.76 ms cpu, 35->35->29 MB, 29 MB goal, 8 P
gc 1 : First GC run since program started.
@0.009s : Nine milliseconds since the program started.
1% : One percent of the programs time has been spent in GC.
// wall-clock
0.059ms : **STW** Sweep termination.
0.17ms : Mark/Scan - Assist Time (GC performed in line with allocation).
0.005ms : Mark/Scan - Background GC time.
0.24ms : Mark/Scan - Idle GC time.
0.12ms : **STW** Mark termination.
// CPU time
0.17ms : **STW** Sweep termination.
0.17+0+0ms : Mark/Scan - Assist Time (GC performed in line with allocation).
0.36ms : Mark/Scan - Background GC time.
0.067ms : Mark/Scan - Idle GC time.
0.38ms : **STW** Mark termination.
5MB : Heap size at GC start.
5MB : Heap size at GC end.
3MB : Live Heap.
4MB : Goal heap size.
8P : Number of logical processors.
Links
https://golang.org/pkg/runtime
https://www.hakkalabs.co/articles/finding-memory-leaks-go-programs
http://golang.org/pkg/runtime/
[http://dave.cheney.net/2014/07/11/visualising-the-go-garbage-collector](Visualising the Go garbage collector)
[http://dave.cheney.net/2015/11/29/a-whirlwind-tour-of-gos-runtime-environment-variables](Tour of Go's env variables)
[https://deferpanic.com/blog/understanding-golang-memory-usage](Understanding Go memory usage)
GC Runtime Source Code
Code Review
All material is licensed under the Apache License Version 2.0, January 2004.