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

2019-05-20 Thread Hyukjin Kwon (JIRA) 


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

2017-02-16 Thread Sean Owen (JIRA) 

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

Sean Owen updated SPARK-19628:
--
Fix Version/s: (was: 2.0.1)

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

2017-02-16 Thread Shixiong Zhu (JIRA) 

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

Shixiong Zhu updated SPARK-19628:
-
Component/s: (was: Spark Core)
 SQL

> 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
> Fix For: 2.0.1
>
> 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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[jira] [Updated] (SPARK-19628) Duplicate Spark jobs in 2.1.0

2017-02-16 Thread Jork Zijlstra (JIRA) 

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

Jork Zijlstra updated SPARK-19628:
--
Attachment: spark2.1.0-examplecode.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-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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[jira] [Updated] (SPARK-19628) Duplicate Spark jobs in 2.1.0

2017-02-16 Thread Jork Zijlstra (JIRA) 

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

Jork Zijlstra updated SPARK-19628:
--
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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