godebug

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Published: Apr 8, 2018 License: Apache-2.0 Imports: 6 Imported by: 0

README

GODEBUG

We can get specific information about the heap, gc and scheduler using the GODEBUG environmental variable. The variable will cause the schedule to emit information about the health of the logical processors.

Schedule Tracing

$ export GODEBUG=schedtrace=1000

*scheddetail*: setting schedtrace=X and scheddetail=1 causes the scheduler to emit
detailed multiline info every X milliseconds, describing state of the scheduler,
processors, threads and goroutines.

*schedtrace*: setting schedtrace=X causes the scheduler to emit a single line to standard
error every X milliseconds, summarizing the scheduler state.

SCHED 1009ms: gomaxprocs=1 idleprocs=0 threads=3 spinningthreads=0 idlethreads=1 runqueue=0 [4 4]

	gomaxprocs=1:  Contexts configured.
	idleprocs=0:   Contexts not in use. Goroutine running.
	threads=3:     Threads in use.
	idlethreads=0: Threads not in use.
	runqueue=0:    Goroutines in the global queue.
	[4 4]:         Goroutines in each of the logical processors.

Generating a Scheduler Trace

Build and run the example program using a single logical processor.

$ go build
$ GOMAXPROCS=1 GODEBUG=schedtrace=1000 ./godebug

Put some load of the web application.

$ hey -m POST -c 8 -n 1000000 "http://localhost:4000/sendjson"

Look at the load on the logical processor. We can only see runnable goroutines. After 5 seconds we don't see any more goroutines in the trace.

SCHED 8047ms: gomaxprocs=1 idleprocs=0 threads=4 spinningthreads=0 idlethreads=1 runqueue=0 [62]
SCHED 9056ms: gomaxprocs=1 idleprocs=0 threads=4 spinningthreads=0 idlethreads=1 runqueue=32 [0]
SCHED 10065ms: gomaxprocs=1 idleprocs=1 threads=4 spinningthreads=0 idlethreads=1 runqueue=0 [0]
SCHED 11068ms: gomaxprocs=1 idleprocs=1 threads=4 spinningthreads=0 idlethreads=1 runqueue=0 [0]

Run the example program but leak goroutines.

$ GOMAXPROCS=1 GODEBUG=schedtrace=1000 ./godebug leak

Put some load of the web application.

$ hey -m POST -c 8 -n 1000000 "http://localhost:4000/sendjson"

Look at the load on the logical processor. We can only see runnable goroutines. After 5 seconds we still see goroutines in the trace.

SCHED 13074ms: gomaxprocs=1 idleprocs=0 threads=5 spinningthreads=0 idlethreads=1 runqueue=0 [37]
SCHED 14084ms: gomaxprocs=1 idleprocs=1 threads=5 spinningthreads=0 idlethreads=1 runqueue=0 [0]
SCHED 15091ms: gomaxprocs=1 idleprocs=1 threads=5 spinningthreads=0 idlethreads=1 runqueue=0 [0]
SCHED 16097ms: gomaxprocs=1 idleprocs=0 threads=5 spinningthreads=0 idlethreads=1 runqueue=129 [225]

Let's run with two logical processors now:

$ GOMAXPROCS=2 GODEBUG=schedtrace=1000 ./godebug

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.

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.

Generating a GC Trace

Build and run the example program.

$ go build
$ GODEBUG=gctrace=1 ./godebug

Put some load of the web application.

$ hey -m POST -c 8 -n 1000000 "http://localhost:4000/sendjson"

Review the gc trace.

gc 318 @36.750s 0%: 0.022+0.27+0.040 ms clock, 0.13+0.60/0.43/0.031+0.24 ms cpu, 4->4->0 MB, 5 MB goal, 8 P
gc 319 @36.779s 0%: 0.019+0.24+0.035 ms clock, 0.15+0.43/0.26/0+0.28 ms cpu, 4->4->0 MB, 5 MB goal, 8 P
gc 320 @36.806s 0%: 0.023+0.34+0.035 ms clock, 0.18+0.63/0.49/0.014+0.28 ms cpu, 4->4->0 MB, 5 MB goal, 8 P
gc 321 @36.834s 0%: 0.026+0.20+0.044 ms clock, 0.18+0.50/0.34/0.001+0.31 ms cpu, 4->4->0 MB, 5 MB goal, 8 P
gc 322 @36.860s 0%: 0.022+0.29+0.055 ms clock, 0.13+0.54/0.47/0+0.33 ms cpu, 4->4->0 MB, 5 MB goal, 8 P

gc 318      : First GC run since program started.
@36.750s    : Nine milliseconds since the program started.
0%          : One percent of the programs time has been spent in GC.

// wall-clock
0.022ms     : **STW** Sweep termination - Wait for all Ps to reach a GC safe-point.
0.27ms      : Mark/Scan
0.040ms     : **STW** Mark termination - Drain any remaining work and perform housekeeping.

// CPU time
0.13ms      : **STW** Sweep termination - Wait for all Ps to reach a GC safe-point.
0.60ms      : Mark/Scan - Assist Time (GC performed in line with allocation)
0.43ms      : Mark/Scan - Background GC time
0.031ms     : Mark/Scan - Idle GC time
0.24ms      : **STW** Mark termination - Drain any remaining work and perform housekeeping.

4MB         : Heap size at GC start
4MB         : Heap size at GC end
0MB         : Live Heap
5MB         : Goal heap size
8P          : Number of logical processors

Tour of Go's env variables
Debugging performance issues in Go programs
Scheduler tracing in Go

Go runtime package
GC Runtime Source Code

Finding memory leaks in Go
Visualising the Go garbage collector
Understanding Go memory usage
Visualising garbage collection algorithms

Code Review

Web Service (Go Playground)


All material is licensed under the Apache License Version 2.0, January 2004.

Documentation

Overview

Sample program that implements a simple web service that will allow us to explore how to use the GODEBUG variable.

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