【问题标题】:Performance analysis using Sparklens of Spark Streaming Application使用 Spark Streaming Application 的 Sparklens 进行性能分析
【发布时间】:2019-08-02 16:30:08
【问题描述】:

我正在尝试使用 sparklensspark 流应用程序 进行性能分析。它给出了这样的结果

Executor count     1  ( 80%) estimated time 01m 29s and estimated cluster utilization 18.55%
Executor count     2  (100%) estimated time 01m 28s and estimated cluster utilization 9.36%
Executor count     3  (150%) estimated time 01m 28s and estimated cluster utilization 6.26%
Executor count     4  (200%) estimated time 01m 28s and estimated cluster utilization 4.69%
Executor count     6  (300%) estimated time 01m 28s and estimated cluster utilization 3.13%
Executor count     8  (400%) estimated time 01m 28s and estimated cluster utilization 2.35%
Executor count    10  (500%) estimated time 01m 28s and estimated cluster utilization 1.88%

即使如果我增加执行者,估计的时间也是一样的。

这些建议是否正确?

【问题讨论】:

    标签: performance apache-spark qubole


    【解决方案1】:

    你为什么不试试?您可能正在运行单个任务。单个任务不会受益于额外的内核,除非您想办法将其分解为并行任务。

    【讨论】:

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