[jira] [Assigned] (SPARK-37578) DSV2 is not updating Output Metrics

2021-12-28 Thread L. C. Hsieh (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-37578?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

L. C. Hsieh reassigned SPARK-37578:
---

Assignee: L. C. Hsieh

> DSV2 is not updating Output Metrics
> ---
>
> Key: SPARK-37578
> URL: https://issues.apache.org/jira/browse/SPARK-37578
> Project: Spark
>  Issue Type: Bug
>  Components: Spark Core
>Affects Versions: 3.0.3, 3.1.2
>Reporter: Sandeep Katta
>Assignee: L. C. Hsieh
>Priority: Major
>
> Repro code
> ./bin/spark-shell --master local  --jars 
> /Users/jars/iceberg-spark3-runtime-0.12.1.jar
>  
> {code:java}
> import scala.collection.mutable
> import org.apache.spark.scheduler._val bytesWritten = new 
> mutable.ArrayBuffer[Long]()
> val recordsWritten = new mutable.ArrayBuffer[Long]()
> val bytesWrittenListener = new SparkListener() {
>   override def onTaskEnd(taskEnd: SparkListenerTaskEnd): Unit = {
>     bytesWritten += taskEnd.taskMetrics.outputMetrics.bytesWritten
>     recordsWritten += taskEnd.taskMetrics.outputMetrics.recordsWritten
>   }
> }
> spark.sparkContext.addSparkListener(bytesWrittenListener)
> try {
> val df = spark.range(1000).toDF("id")
>   df.write.format("iceberg").save("Users/data/dsv2_test")
>   
> assert(bytesWritten.sum > 0)
> assert(recordsWritten.sum > 0)
> } finally {
>   spark.sparkContext.removeSparkListener(bytesWrittenListener)
> } {code}
>  
>  



--
This message was sent by Atlassian Jira
(v8.20.1#820001)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Assigned] (SPARK-37578) DSV2 is not updating Output Metrics

2021-12-26 Thread Apache Spark (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-37578?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-37578:


Assignee: Apache Spark

> DSV2 is not updating Output Metrics
> ---
>
> Key: SPARK-37578
> URL: https://issues.apache.org/jira/browse/SPARK-37578
> Project: Spark
>  Issue Type: Bug
>  Components: Spark Core
>Affects Versions: 3.0.3, 3.1.2
>Reporter: Sandeep Katta
>Assignee: Apache Spark
>Priority: Major
>
> Repro code
> ./bin/spark-shell --master local  --jars 
> /Users/jars/iceberg-spark3-runtime-0.12.1.jar
>  
> {code:java}
> import scala.collection.mutable
> import org.apache.spark.scheduler._val bytesWritten = new 
> mutable.ArrayBuffer[Long]()
> val recordsWritten = new mutable.ArrayBuffer[Long]()
> val bytesWrittenListener = new SparkListener() {
>   override def onTaskEnd(taskEnd: SparkListenerTaskEnd): Unit = {
>     bytesWritten += taskEnd.taskMetrics.outputMetrics.bytesWritten
>     recordsWritten += taskEnd.taskMetrics.outputMetrics.recordsWritten
>   }
> }
> spark.sparkContext.addSparkListener(bytesWrittenListener)
> try {
> val df = spark.range(1000).toDF("id")
>   df.write.format("iceberg").save("Users/data/dsv2_test")
>   
> assert(bytesWritten.sum > 0)
> assert(recordsWritten.sum > 0)
> } finally {
>   spark.sparkContext.removeSparkListener(bytesWrittenListener)
> } {code}
>  
>  



--
This message was sent by Atlassian Jira
(v8.20.1#820001)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org

[jira] [Assigned] (SPARK-37578) DSV2 is not updating Output Metrics

2021-12-26 Thread Apache Spark (Jira) 


 [ 
https://issues.apache.org/jira/browse/SPARK-37578?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-37578:


Assignee: (was: Apache Spark)

> DSV2 is not updating Output Metrics
> ---
>
> Key: SPARK-37578
> URL: https://issues.apache.org/jira/browse/SPARK-37578
> Project: Spark
>  Issue Type: Bug
>  Components: Spark Core
>Affects Versions: 3.0.3, 3.1.2
>Reporter: Sandeep Katta
>Priority: Major
>
> Repro code
> ./bin/spark-shell --master local  --jars 
> /Users/jars/iceberg-spark3-runtime-0.12.1.jar
>  
> {code:java}
> import scala.collection.mutable
> import org.apache.spark.scheduler._val bytesWritten = new 
> mutable.ArrayBuffer[Long]()
> val recordsWritten = new mutable.ArrayBuffer[Long]()
> val bytesWrittenListener = new SparkListener() {
>   override def onTaskEnd(taskEnd: SparkListenerTaskEnd): Unit = {
>     bytesWritten += taskEnd.taskMetrics.outputMetrics.bytesWritten
>     recordsWritten += taskEnd.taskMetrics.outputMetrics.recordsWritten
>   }
> }
> spark.sparkContext.addSparkListener(bytesWrittenListener)
> try {
> val df = spark.range(1000).toDF("id")
>   df.write.format("iceberg").save("Users/data/dsv2_test")
>   
> assert(bytesWritten.sum > 0)
> assert(recordsWritten.sum > 0)
> } finally {
>   spark.sparkContext.removeSparkListener(bytesWrittenListener)
> } {code}
>  
>  



--
This message was sent by Atlassian Jira
(v8.20.1#820001)

-
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org