Huy created SPARK-35006:
---------------------------
Summary: Spark driver mistakenly classifies OOM error of executor
(on K8s pod) as framework error
Key: SPARK-35006
URL: https://issues.apache.org/jira/browse/SPARK-35006
Project: Spark
Issue Type: Bug
Components: Kubernetes
Affects Versions: 3.1.1
Reporter: Huy
*Issue Description*
I'm having a Spark application with 1 driver (on bare metal) + 1 executor (on
K8s) (please note it's just for testing purpose). The corresponding
configuration can be found bellowing.
When I run task for loading & computing on a XML file; due to the size of XML
file is large (which I intended to) the executor got OOM error
#Aborting due to java.lang.OutOfMemoryError: Java heap space
#
# A fatal error has been detected by the Java Runtime Environment:
#
# Internal Error (debug.cpp:308), pid=19, tid=0x00007fff765ae700
# fatal error: OutOfMemory encountered: Java heap space
However, the driver doesn't recognize this error as task failure scenario.
Instead, it consider this as a framework issue and continue retry the task
INFO TaskSchedulerImpl:57 - Executor 1 on 10.87.88.44 killed by driver.
INFO TaskSetManager:57 - task 0.0 in stage 0.0 (TID 0) failed because while it
was being computed, its executor exited for a reason unrelated to the task.
*{color:#de350b}Not counting this failure towards the maximum number of
failures for the task{color}.*
INFO BlockManagerMasterEndpoint:57 - Trying to remove executor 1 from
BlockManagerMaster.
This results in the fact that, the Spark application keeps retrying the task
forever and locks following tasks from running
*Expectation*
Spark driver should classify OOM on executor pod as a task failure and increase
the count of max failure time
*Configuration*
spark.kubernetes.container.image: "spark_image_path"
spark.kubernetes.container.image.pullPolicy: "Always"
spark.kubernetes.namespace: "qa-namespace"
spark.kubernetes.authenticate.driver.serviceAccountName: "svc-account"
spark.kubernetes.executor.request.cores: "2"
spark.kubernetes.executor.limit.cores: "2"
spark.executorEnv.SPARK_ENV: "dev"
spark.executor.memoryOverhead: "1G"
spark.executor.memory: "6g"
spark.executor.cores: "2"
spark.executor.instances: "3"
spark.driver.maxResultSize: "1g"
spark.driver.memory: "10g"
spark.driver.cores: "2"
spark.eventLog.enabled: 'true'
spark.driver.extraJavaOptions: "-Dcom.sun.management.jmxremote \
-Dcom.sun.management.jmxremote.authenticate=false \
-Dcom.sun.management.jmxremote.ssl=false \
-XX:+UseG1GC \
-XX:+PrintFlagsFinal \
-XX:+PrintReferenceGC -verbose:gc \
-XX:+PrintGCDetails \
-XX:+PrintGCTimeStamps \
-XX:+PrintAdaptiveSizePolicy \
-XX:+UnlockDiagnosticVMOptions \
-XX:+G1SummarizeConcMark \
-XX:InitiatingHeapOccupancyPercent=35 \
-XX:ConcGCThreads=20 \
-XX:+PrintGCCause \
-XX:+AlwaysPreTouch \
-Dlog4j.debug=true -Dlog4j.configuration=file:///.... "
spark.sql.session.timeZone: UTC
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