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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10
1
章
Spark
を理解する
1.x のマイナーリリースでは互換性を損なう変更は最小限に抑えられます）。次の図からわかるとおり、
DataFrameとDataset はどちらも Apache Spark 2.0の一部として登場した新しいDataset API に属し
ています。
型付けされた
API
型を持たない
API
Spark 2.0
での統合
API
A Tale of Three Apache Spark APIs: RDDs, DataFrames, and Datasets（http://bit.ly/2accSNA）
すでに述べたとおり、Dataset APIは型安全なオブジェクト指向プログラミングインターフェイスを
提供します。Datasetは式やデータフィールドをクエリプランナーに渡し、Tungstenの高速なインメ
モリエンコーディングを利用することによって、Catalyst Optimizerの利点を活かせます。しかし現
在、DataFrameとDataset はApache Spark 2.0の一部として統合されたので、DataFrameはDataset
Untyped APIのエイリアスになっています。さらに正確には次のとおりです。
DataFrame = Dataset[Row]
1.3.2
SparkSession
これまでには、さまざまな Sparkのクエリを Spark context、SQL context、Hive contextなどの
設定に対して実行するために、 ...
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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.