[jira] [Updated] (SPARK-19628) Duplicate Spark jobs in 2.1.0

["Hyukjin Kwon (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-19628?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-19628:
---------------------------------
    Labels: bulk-closed  (was: )

> Duplicate Spark jobs in 2.1.0
> -----------------------------
>
>                 Key: SPARK-19628
>                 URL: https://issues.apache.org/jira/browse/SPARK-19628
>             Project: Spark
>          Issue Type: Bug
>          Components: SQL
>    Affects Versions: 2.1.0
>            Reporter: Jork Zijlstra
>            Priority: Major
>              Labels: bulk-closed
>         Attachments: spark2.0.1.png, spark2.1.0-examplecode.png, spark2.1.0.png
>
>
> After upgrading to Spark 2.1.0 we noticed that they are duplicate jobs executed. Going back to Spark 2.0.1 they are gone again
> {code}
> import org.apache.spark.sql._
> object DoubleJobs {
>   def main(args: Array[String]) {
>     System.setProperty("hadoop.home.dir", "/tmp");
>     val sparkSession: SparkSession = SparkSession.builder
>       .master("local[4]")
>       .appName("spark session example")
>       .config("spark.driver.maxResultSize", "6G")
>       .config("spark.sql.orc.filterPushdown", true)
>       .config("spark.sql.hive.metastorePartitionPruning", true)
>       .getOrCreate()
>     sparkSession.sqlContext.setConf("spark.sql.orc.filterPushdown", "true")
>     val paths = Seq(
>       ""//some orc source
>     )
>     def dataFrame(path: String): DataFrame = {
>       sparkSession.read.orc(path)
>     }
>     paths.foreach(path => {
>       dataFrame(path).show(20)
>     })
>   }
> }
> {code}



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