August 2015
Intermediate to advanced
312 pages
7h 28m
Japanese
Content preview from 初めてのSpark
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165
8.4 パフォーマンスに関する重要な考慮点
ンの
UI
の中で、各タスクの
GC Time
の列に現れます。
8.4.4
ードアのジニング
Spark
に与えるハードウェアリソースは、アプリケーションの完了までの時間に大きく影響しま
す。クラスタのサイジングに影響する主なパラメータは、各エクゼキュータに渡すメモリの量、各
エクゼキュータのコア数、エクゼキュータの総数、そしてスクラッチデータのためのローカルディ
スク数です。
デプロイのモードに関わらず、エクゼキュータのメモリは
spark.executor.memory
もしく
は
spark-submit
に渡す
--executor-memory
フラグで設定します。エクゼキュータのコア数やエ
クゼキュータ数のオプションは、デプロイのモードによって異なります。
YARN
では、
spark.
executor.cores
もしくは
--executor-cores
フラグを使用し、
--num-executors
フラグで総数を決
定します。
Mesos
および
Standalone
モードでは、
Spark
はスケジューラが提供する限りのコアや
エクゼキュータを使用します。とはいえ、
Mesos
でも
Standalone
モードでも、
spark.cores.max
を設定して、アプリケーションが使用する全エクゼキュータに対するコアの総数を制限すること
はできます。ローカルディスク群は、シャッフル操作の際のスクラッチストレージとして使用さ
れます。
大まかにいって、
Spark
のアプリケーションはメモリや ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.