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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226
11
章
Spark
アプリケーションのパッケージ化
これで、この関数を使って距離を計算してキロメートルに変換できます。
uber = uber.withColumn(
'miles',
getDistance(
func.col('pickup_latitude'),
func.col('pickup_longitude'),
func.col('dropoff_latitude'),
func.col('dropoff_longitude')
)
)
uber = uber.withColumn(
'kilometers',
convertMiles(func.col('miles')))
.withColumn(...)
メソッドを使えば、必要な値を持つ列を作成して追加できます。
ここで注意が必要です。
PySpark
の組み込み関数を使う場合、それらが
Python
のオブジェク
トであるとはいえ、背後でその呼び出しは変換されて
Scala
のコードとして実行されます。し
かし、
Python
で書いた独自のメソッドは
Scala
には変換されないため、
Python
の
VM
で実行
されることになります。これはパフォーマンスに大きな影響を及ぼします。
それではパズルのピースを組み合わせて、ジョブを投入してみましょう。
11.2.4
ジョブの投入
CLIで次のように入力してみてください（フォルダの構成は GitHubの構成から変わっていないもの
と し ま す ）。
./launch_spark_submit.sh ...
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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.