November 2017
Intermediate to advanced
328 pages
6h 51m
Japanese
Content preview from 入門 PySpark ―PythonとJupyterで活用するSpark 2エコシステム
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292
付録
B
無料で利用できるクラウド上の
Spark
これまでは Sparkをローカルマシンで実行していたため、ノードは1つだけでした。クラスタの場合
はどうなるのかを見てみましょう。
B.2.9
Yarn
でのジョブの実行モニタリング
まず YarnのUIを見てみましょう。Azure HDInsightのクラスタダッシュボードを開き、Yarnをク
リックしてください。次のようなウィンドウが開きます。
ここには、実行中のアプリケーションや実行を終了したアプリケーションのリストがあります。
Tracking UI列の下の ApplicationMasterをクリックすると、アプリケーションの実行ログが開きます。
B.2
Microsoft Azure HDInsight
の利用
293
この画面では、アプリケーションの実行中に完了したすべてのジョブのリストが表示されます。中に
はスキップされているステージがあることもわかります。これは、それらのステージが以前に実行済み
であることを Spark が認識し、同じジョブを複数回実行しなかったことによります。
また、それぞれのジョブの内容を見て、どのエクゼキュータでどのステージが実行されたのか、ある
いはそれぞれのジョブのステージに関する有益な統計情報を知ることもでき ...
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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.
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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.