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https://issues.apache.org/jira/browse/SPARK-9280?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Tien-Dung LE updated SPARK-9280:
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Affects Version/s: 1.4.1
> 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
> Components: SQL
> Affects Versions: 1.3.1, 1.4.1
> 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. It would be great if someone can let us know how to avoid this
> situation.
> {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")
> // got 20 as expected
> val foo2 = sqlContext2.parquetFile( "foo" )
> sqlContext2.getConf( "spark.sql.shuffle.partitions", "30")
> // expected 30 but got 10
> {code}
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