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https://issues.apache.org/jira/browse/SPARK-19628?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15869847#comment-15869847
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Jork Zijlstra commented on SPARK-19628:
---------------------------------------

The attached screenshots are from our application. The code example provided is 
from an isolated example where the issue also persisted

> 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: Spark Core
>    Affects Versions: 2.1.0
>            Reporter: Jork Zijlstra
>             Fix For: 2.0.1
>
>         Attachments: spark2.0.1.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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