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January 6, 2016 17:08
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Spark SQL with Scala using valid JSON input source example in Spark Console
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todd-mcgraths-macbook-pro:spark-1.4.1-bin-hadoop2.4 toddmcgrath$ bin/spark-shell | |
2016-01-06 11:05:57.362 java[30505:1203] Unable to load realm info from SCDynamicStore | |
Welcome to | |
____ __ | |
/ __/__ ___ _____/ /__ | |
_\ \/ _ \/ _ `/ __/ '_/ | |
/___/ .__/\_,_/_/ /_/\_\ version 1.4.1 | |
/_/ | |
Using Scala version 2.10.4 (Java HotSpot(TM) 64-Bit Server VM, Java 1.6.0_65) | |
Type in expressions to have them evaluated. | |
Type :help for more information. | |
Spark context available as sc. | |
SQL context available as sqlContext. | |
scala> val jsonRDD = sc.wholeTextFiles("baby_names.json").map(x => x._2) | |
jsonRDD: org.apache.spark.rdd.RDD[String] = MapPartitionsRDD[1] at map at <console>:21 | |
scala> val namesJson = sqlContext.read.json(jsonRDD) | |
2016-01-06 11:06:40.197 java[30505:1203] Unable to load realm info from SCDynamicStore | |
namesJson: org.apache.spark.sql.DataFrame = [Count: string, County: string, First Name: string, Sex: string, Year: string] | |
scala> namesJson.registerTempTable("names") | |
scala> sqlContext.sql("select * from names").collect.foreach(println) | |
[272,KINGS,DAVID,M,2013] | |
[268,KINGS,JAYDEN,M,2013] | |
[219,QUEENS,JAYDEN,M,2013] | |
[219,KINGS,MOSHE,M,2013] | |
[216,QUEENS,ETHAN,M,2013] |
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Taken from Spark SQL with JSON examples