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Happy Path Spark SQL with JSON input source
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| todd-mcgraths-macbook-pro:spark-1.4.1-bin-hadoop2.4 toddmcgrath$ bin/spark-shell | |
| 2016-01-06 10:54:58.540 java[25147:1203] 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 customers = sqlContext.jsonFile("customers.json") | |
| warning: there were 1 deprecation warning(s); re-run with -deprecation for details | |
| 2016-01-06 10:55:26.027 java[25147:1203] Unable to load realm info from SCDynamicStore | |
| customers: org.apache.spark.sql.DataFrame = [address: struct<city:string,state:string,street:string,zip:string>, first_name: string, last_name: string] | |
| scala> customers.registerTempTable("customers") | |
| scala> val firstCityState = sqlContext.sql("SELECT first_name, address.city, address.state FROM customers") | |
| firstCityState: org.apache.spark.sql.DataFrame = [first_name: string, city: string, state: string] | |
| scala> firstCityState.collect.foreach(println) | |
| [James,New Orleans,LA] | |
| [Josephine,Brighton,MI] | |
| [Art,Bridgeport,NJ] |
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Taken from Spark SQL with JSON examples