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初めてのSpark
book

初めてのSpark

by Holden Karau, Andy Konwinski, Patrick Wendell, Matei Zaharia, Sky株式会社 玉川竜司
August 2015
Intermediate to advanced
312 pages
7h 28m
Japanese
O'Reilly Japan, Inc.
Content preview from 初めてのSpark
178
9 章 Spark SQL

9-20
Python

Parquet

pandaFriends.saveAsParquetFile("hdfs://...")
9.3.3
JSON
同じスキーマに適合するレコード群を含む
JSON
ファイルがある場合、
Spark SQL
はそのファ
イルを走査してスキーマを推測し、フィールドを名前でアクセスできるようにしてくれます(
9-21
)。
JSON
のレコードを大量に含むディレクトリを扱ったことがあるなら、
Spark SQL
のス
キーマ推測によって、特別なロード用のコードを書くことなく、効率的にデータの処理を始めるこ
とができます。

9-22
から
9-24
に示す通り、
JSON
のデータは
hiveCtx
の
jsonFile()
関数を
呼ぶだけでロードできます。データから推定されたスキーマを知りたい場合は、生成された
SchemaRDD
の
printSchema
を呼びます(
9-25
)。

9-21
ー
{"name": "Holden"}
{"name":"Sparky The Bear", "lovesPandas":true, "knows":{"friends": ["holden"]}}

9-22
Spark SQL

Python

JSON
ー
input = hiveCtx.jsonFile(inputFile)

9-23
Spark SQL

Scala

JSON
ー
val input ...
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