spark-issues mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From "Thomas Graves (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (SPARK-24415) Stage page aggregated executor metrics wrong when failures
Date Wed, 30 May 2018 14:23:00 GMT

     [ https://issues.apache.org/jira/browse/SPARK-24415?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Thomas Graves updated SPARK-24415:
----------------------------------
    Priority: Critical  (was: Major)

> Stage page aggregated executor metrics wrong when failures 
> -----------------------------------------------------------
>
>                 Key: SPARK-24415
>                 URL: https://issues.apache.org/jira/browse/SPARK-24415
>             Project: Spark
>          Issue Type: Bug
>          Components: Web UI
>    Affects Versions: 2.3.0
>            Reporter: Thomas Graves
>            Priority: Critical
>         Attachments: Screen Shot 2018-05-29 at 2.15.38 PM.png
>
>
> Running with spark 2.3 on yarn and having task failures and blacklisting, the aggregated
metrics by executor are not correct.  In my example it should have 2 failed tasks but it
only shows one.    Note I tested with master branch to verify its not fixed.
> I will attach screen shot.
> To reproduce:
> $SPARK_HOME/bin/spark-shell --master yarn --deploy-mode client --executor-memory=2G --num-executors=1
--conf "spark.blacklist.enabled=true" --conf "spark.blacklist.stage.maxFailedTasksPerExecutor=1"
--conf "spark.blacklist.stage.maxFailedExecutorsPerNode=1"  --conf "spark.blacklist.application.maxFailedTasksPerExecutor=2"
--conf "spark.blacklist.killBlacklistedExecutors=true"
> import org.apache.spark.SparkEnv 
> sc.parallelize(1 to 10000, 10).map \{ x => if (SparkEnv.get.executorId.toInt >=
1 && SparkEnv.get.executorId.toInt <= 4) throw new RuntimeException("Bad executor")
else (x % 3, x) }.reduceByKey((a, b) => a + b).collect()



--
This message was sent by Atlassian JIRA
(v7.6.3#76005)

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


Mime
View raw message