Comments (4)
tt4g
commented on June 3, 2024
The async logger stores log messages to a task queue, and a dedicated thread pool consumes the queue and prints the log, so if a process terminates while a task is in the queue, no log will be output.
And when spdlog outputs the log to a file, the data is pooled by the OS into I/O buffer.
I/O buffer may be destroyed when the process terminates, so a flush operation on I/O buffer is required before the process terminates.
You can flush the log to a file by calling spdlog::shutdown() at the end of the test.
See Wiki:
- https://github.com/gabime/spdlog/wiki/6.-Asynchronous-logging
- https://github.com/gabime/spdlog/wiki/7.-Flush-policy
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chaotianjiao
commented on June 3, 2024
The async logger stores log messages to a task queue, and a dedicated thread pool consumes the queue and prints the log, so if a process terminates while a task is in the queue, no log will be output.
And when spdlog outputs the log to a file, the data is pooled by the OS into I/O buffer. I/O buffer may be destroyed when the process terminates, so a flush operation on I/O buffer is required before the process terminates.
You can flush the log to a file by calling
spdlog::shutdown()at the end of the test.See Wiki:
Thanks.When I change the google benchmark to ITER_REPEAT(#define ITER_COUNT 2000 #define REPEAT_COUNT 5),the result txt like this:
2024-01-03T11:26:21+08:00
Running ./bin/gbenchmark_spdlog_async
Run on (6 X 2592.01 MHz CPU s)
CPU Caches:
L1 Data 32 KiB (x6)
L1 Instruction 32 KiB (x6)
L2 Unified 256 KiB (x6)
L3 Unified 12288 KiB (x6)
Load Average: 0.53, 1.45, 1.40
---------------------------------------------------------------------------------------------------------------
Benchmark Time CPU Iterations
---------------------------------------------------------------------------------------------------------------
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:1 469 ns 384 ns 2000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:1 729 ns 456 ns 2000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:1 1884 ns 498 ns 2000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:1 648 ns 489 ns 2000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:1 904 ns 662 ns 2000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:1_mean 927 ns 498 ns 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:1_median 729 ns 489 ns 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:1_stddev 558 ns 102 ns 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:1_cv 60.16 % 20.52 % 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:3 1353 ns 1296 ns 6000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:3 689 ns 1093 ns 6000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:3 17539 ns 6305 ns 6000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:3 12198 ns 4501 ns 6000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:3 4396 ns 1790 ns 6000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:3_mean 7235 ns 2997 ns 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:3_median 4396 ns 1790 ns 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:3_stddev 7354 ns 2301 ns 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:3_cv 101.64 % 76.78 % 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:6 31745 ns 11515 ns 12000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:6 23316 ns 8245 ns 12000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:6 775 ns 1111 ns 12000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:6 19310 ns 10572 ns 12000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:6 27307 ns 13141 ns 12000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:6_mean 20491 ns 8917 ns 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:6_median 23316 ns 10572 ns 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:6_stddev 11950 ns 4709 ns 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:6_cv 58.32 % 52.81 % 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:12 24407 ns 10333 ns 24000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:12 22409 ns 12570 ns 24000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:12 19459 ns 10000 ns 24000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:12 9142 ns 4376 ns 24000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:12 19282 ns 7377 ns 24000
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:12_mean 18940 ns 8931 ns 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:12_median 19459 ns 10000 ns 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:12_stddev 5880 ns 3143 ns 5
SpdlogAsyncFixture/async/iterations:2000/repeats:5/threads:12_cv 31.05 % 35.19 % 5
The all Iterations is about 220000.It equals wc - l gbenchmark_spdlog_async.log(220000).
The results means that no log are discarding.
In an other way, when I use google benchmark min_time ,the line far bigger than Iterations just becasue I don't call spdlog::shutdown() ?
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tt4g
commented on June 3, 2024
I am not familiar with google benchmark and this is not a google benchmark repository so the answer to that question is not here.
However, as far as google/benchmark#746 is concerned, min_time does not specify a minimum number of iterations.
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chaotianjiao
commented on June 3, 2024
Thank you for taking the time.
I'll do the rest.
Best Wishes!
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