argument, and lock mode of the elementary lock are identical, and if a lock is not exclusive and non-cumulative
CLS 是 Cumulative Layout Shift(累计布局偏移)的缩写,它是一个用于度量网页稳定性的指标。
原文链接是 https://benjaminlmoore.wordpress.com/2014/04/06/author-inflation-in-academ...
----------------------------:|-----------------------:|----------:|--------:| | Cumulative...indexing time of primary shards | | 31.9571 | min | | Min cumulative...indexing time across primary shards | | 6.54167 | min | | Cumulative...indexing throttle time of primary shards | | 0 | min | | Min cumulative...merge time across primary shards | | 1.90262 | min | | Cumulative
:30:34,522 Stage-1 map = 0%, reduce = 0% 2017-08-20 09:30:44,205 Stage-1 map = 100%, reduce = 0%, Cumulative...CPU 1.76 sec MapReduce Total cumulative CPU time: 1 seconds 760 msec Ended Job = job_1503220733636_0016...: Stage-Stage-1: Map: 1 Reduce: 1 Cumulative CPU: 5.88 sec HDFS Read: 9088 HDFS Write: 102 SUCCESS...Total cumulative CPU time: 6 seconds 10 msec Ended Job = job_1503582553611_0001 MapReduce Jobs Launched...: Stage-Stage-1: Map: 1 Reduce: 1 Cumulative CPU: 6.01 sec HDFS Read: 9818 HDFS Write: 118 SUCCESS
--------------------------:|-----------------------:|------------:|--------:| | Cumulative...indexing time across primary shards | | 11.7327 | min | | Cumulative...time across primary shards | | 0 | min | | Median cumulative...time across primary shards | | 0 | min | | Max cumulative...merge time across primary shards | | 7.40308 | min | | Cumulative
cProfile是标准库内建的分析工具的其中一个,另外两个是hotshot和profile-s cumulative-s cumulative开关告诉cProfile对每个函数累计花费的时间进行排序,...a, bif __name__ == '__main__': for item in foo(): print(item)运行下面命令python3 -m cProfile -s cumulative...Ordered by: cumulative time ncalls tottime percall cumtime percall filename:lineno(function)...0.000 0.000 0.000 0.000 {method 'disable' of '_lsprof.Profiler' objects} Ordered by: cumulative...0.000 loopdemo.py:7(){method 'disable' of '_lsprof.Profiler' objects} <- Ordered by: cumulative
CPU 33.56 sec 2018-10-31 09:42:47,028 Stage-1 map = 44%, reduce = 0%, Cumulative CPU 53.03 sec 2018...-10-31 09:42:48,287 Stage-1 map = 56%, reduce = 0%, Cumulative CPU 53.79 sec 2018-10-31 09:42:54,173...Stage-1 map = 67%, reduce = 0%, Cumulative CPU 56.99 sec 2018-10-31 09:42:56,867 Stage-1 map = 78%,...reduce = 0%, Cumulative CPU 57.52 sec 2018-10-31 09:42:58,201 Stage-1 map = 100%, reduce = 0%, Cumulative...= 0%, Cumulative CPU 18.7 sec 2018-10-31 09:45:50,973 Stage-1 map = 100%, reduce = 100%, Cumulative
= price1Cumulative; blockTimestampLast = blockTimestamp; } // note this will always...; uint price1Cumulative; } address public immutable factory; // the desired amount...= block.timestamp; observation.price0Cumulative = price0Cumulative; observation.price1Cumulative...= price1Cumulative; } } // given the cumulative prices of the start and end of a period..., price0Cumulative, timeElapsed, amountIn); } else { return computeAmountOut(firstObservation.price1Cumulative
CPU 2.4 sec 2021-04-15 15:05:46,505 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 3.88 sec MapReduce...Total cumulative CPU time: 3 seconds 880 msec Ended Job = job_1618468831901_0003 Launching Job 2 out...Total cumulative CPU time: 2 seconds 860 msec Ended Job = job_1618468831901_0004 MapReduce Jobs Launched...: Stage-Stage-1: Map: 1 Reduce: 1 Cumulative CPU: 3.88 sec HDFS Read: 8747 HDFS Write: 278 SUCCESS...Stage-Stage-2: Map: 1 Reduce: 1 Cumulative CPU: 2.86 sec HDFS Read: 7919 HDFS Write: 105 SUCCESS
cumulative indexing throttle time across primary shards 0 min Median cumulative indexing throttle...min Cumulative merge time of primary shards 5.12393 min Cumulative merge count of primary shards...113 Min cumulative merge time across primary shards 0 min Median cumulative merge time across...primary shards 0.001775 min Max cumulative merge time across primary shards 1.8119 min Cumulative...min Cumulative refresh count of primary shards 1037 Min cumulative refresh time across primary
"sum_agg": { "sum": { "field": "Price" } }, "cumulative_sum_agg...":{ "cumulative_sum": { "buckets_path": "sum_agg" } } }..."doc_count" : 0, "sum_agg" : { "value" : 0.0 }, "cumulative_sum_agg..."doc_count" : 0, "sum_agg" : { "value" : 0.0 }, "cumulative_sum_agg...: 600.7699861526489 } } ] } } } 从结果就可以看出,在计算出每个月销量的同时,计算出了每个月的销售额,并且通过cumulative_sum
CPU 4.01 sec 2017-08-14 10:07:13,160 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 7.46 sec MapReduce...Total cumulative CPU time: 7 seconds 460 msec Ended Job = job_1502717288397_0001 MapReduce Jobs Launched...: Stage-Stage-1: Map: 1 Reduce: 1 Cumulative CPU: 7.46 sec HDFS Read: 10295 HDFS Write: 821 SUCCESS...Total cumulative CPU time: 9 seconds 380 msec Ended Job = job_1502717288397_0002 MapReduce Jobs Launched...: Stage-Stage-1: Map: 1 Reduce: 1 Cumulative CPU: 9.38 sec HDFS Read: 10967 HDFS Write: 462 SUCCESS
0 min Median cumulative indexing time across primary shards 0.00133333 min Max cumulative indexing...min Cumulative merge time of primary shards 4.10468 min Cumulative merge count of primary shards...127 Min cumulative merge time across primary shards 0 min Median cumulative merge time across...primary shards 0.0014 min Max cumulative merge time across primary shards 1.40863 min Cumulative...min Cumulative refresh count of primary shards 1053 Min cumulative refresh time across primary
0 min Median cumulative indexing time across primary shards 0.003733 min Max cumulative indexing...min Cumulative merge time of primary shards 3.274033 min Cumulative merge count of primary shards...shards 0.002983 min Max cumulative merge time across primary shards 1.136567 min Cumulative merge...shards 0 min Median cumulative merge throttle time across primary shards 0 min Max cumulative merge...min Cumulative refresh count of primary shards 1254 Min cumulative refresh time across primary
watch可以帮你监测一个命令的运行结果,来监测你想要的一切命令的结果变化 常见命令参数 Usage: watch [-dhntv] [--differences[=cumulative]] [--help...] [--interval=] [--no-title] [--version] -d, --differences[=cumulative] highlight...changes between updates (cumulative means highlighting is cumulative) -h, --help
CPU 0.62 sec 2012-07-23 18:59:09,435 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 0.62 sec 2012-...07-23 18:59:10,445 Stage-1 map = 100%, reduce = 0%, Cumulative CPU 0.62 sec 2012-07-23 18:59:11,455...Stage-1 map = 100%, reduce = 0%, Cumulative CPU 0.62 sec 2012-07-23 18:59:12,470 Stage-1 map = 100%,... reduce = 0%, Cumulative CPU 0.62 sec 2012-07-23 18:59:13,489 Stage-1 map = 100%, reduce = 0%, Cumulative...Total cumulative CPU time: 620 msec Ended Job = job_201207230024_0002 Ended Job = -174856900, job is
0 min Median cumulative indexing time across primary shards 0.003233333 min Max cumulative indexing...0 min Min cumulative indexing throttle time across primary shards 0 min Median cumulative indexing...116 Min cumulative merge time across primary shards 0 min Median cumulative merge time across...0.8684 min Cumulative refresh count of primary shards 824 Min cumulative refresh time across...min Cumulative flush count of primary shards 16 Min cumulative flush time across primary shards
CPU 2.37 sec 2016-08-16 10:46:38,697 Stage-1 map = 100%, reduce = 100%, Cumulative CPU 4.62 sec MapReduce...Total cumulative CPU time: 4 seconds 620 msec Ended Job = job_1471250735061_0001 MapReduce Jobs Launched...: Stage-Stage-1: Map: 1 Reduce: 1 Cumulative CPU: 4.62 sec HDFS Read: 7326445 HDFS Write: 6 SUCCESS...Total cumulative CPU time: 5 seconds 770 msec Ended Job = job_1471250735061_0002 MapReduce Jobs Launched...: Stage-Stage-1: Map: 1 Reduce: 1 Cumulative CPU: 5.77 sec HDFS Read: 7326868 HDFS Write: 10 SUCCESS
min 41.75% ↓ Min cumulative indexing time across primary shard 0 0 min 0.00% - Median cumulative...- Median cumulative indexing throttle time across primary shard 0 0 min 0.00% - Max cumulative indexing...4.949666667 min 71.12% ↓ Cumulative merge count of primary shards 103 320 210.68% ↓ Min cumulative...59.75% ↓ Min cumulative merge throttle time across primary shard 0 0 min 0.00% - Median cumulative...Cumulative flush count of primary shards 16 15 -6.25% ↑ Min cumulative flush time across primary
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