[jira] [Updated] (SPARK-9280) New HiveContext object unexpectedly loads configuration settings from history

["Tien-Dung LE (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-9280?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Tien-Dung LE updated SPARK-9280:
--------------------------------
    Affects Version/s: 1.3.1

> New HiveContext object unexpectedly loads configuration settings from history 
> ------------------------------------------------------------------------------
>
>                 Key: SPARK-9280
>                 URL: https://issues.apache.org/jira/browse/SPARK-9280
>             Project: Spark
>          Issue Type: Bug
>    Affects Versions: 1.3.1
>            Reporter: Tien-Dung LE
>
> In a spark-shell session, stopping a spark context and create a new spark context and hive context does not clean the spark sql configuration. More precisely, the new hive context still keeps the previous configuration settings. Here is a code to show this scenario.
> {code:title=New hive context should not load the configurations from history}
> case class Foo ( x: Int = (math.random * 1e3).toInt)
> val foo = (1 to 100).map(i => Foo()).toDF
> foo.saveAsParquetFile( "foo" )
> sqlContext.setConf( "spark.sql.shuffle.partitions", "10")
> sc.stop
> val sparkConf2 = new org.apache.spark.SparkConf()
> val sc2 = new org.apache.spark.SparkContext( sparkConf2 ) 
> val sqlContext2 = new org.apache.spark.sql.hive.HiveContext( sc2 )
> sqlContext2.getConf( "spark.sql.shuffle.partitions", "20") 
> val foo2 = sqlContext2.parquetFile( "foo" )
> sqlContext2.getConf( "spark.sql.shuffle.partitions", "30")
> // expected 30 but got 10
> {code}



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