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https://issues.apache.org/jira/browse/SPARK-19628?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Jork Zijlstra updated SPARK-19628:
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Attachment: spark2.0.1.png
spark2.1.0.png
> 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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