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Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2023/02/04 05:44:00 UTC
[jira] [Commented] (SPARK-42344) The default size of the CONFIG_MAP_MAXSIZE should not be greater than 1048576
[ https://issues.apache.org/jira/browse/SPARK-42344?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17684099#comment-17684099 ]
Apache Spark commented on SPARK-42344:
--------------------------------------
User 'ninebigbig' has created a pull request for this issue:
https://github.com/apache/spark/pull/39884
> The default size of the CONFIG_MAP_MAXSIZE should not be greater than 1048576
> -----------------------------------------------------------------------------
>
> Key: SPARK-42344
> URL: https://issues.apache.org/jira/browse/SPARK-42344
> Project: Spark
> Issue Type: Bug
> Components: Kubernetes, Spark Submit
> Affects Versions: 3.3.1
> Environment: Kubernetes: 1.22.0
> ETCD: 3.5.0
> Spark: 3.3.2
> Reporter: Wei Yan
> Priority: Major
> Fix For: 3.5.0
>
>
> Exception in thread "main" io.fabric8.kubernetes.client.KubernetesClientException: Failure executing: POST at: https://172.18.123.24:6443/api/v1/namespaces/default/configmaps. Message: ConfigMap "spark-exec-ed9f2c861aa40b48-conf-map" is invalid: []: Too long: must have at most 1048576 bytes. Received status: Status(apiVersion=v1, code=422, details=StatusDetails(causes=[StatusCause(field=[], message=Too long: must have at most 1048576 bytes, reason=FieldValueTooLong, additionalProperties={})], group=null, kind=ConfigMap, name=spark-exec-ed9f2c861aa40b48-conf-map, retryAfterSeconds=null, uid=null, additionalProperties={}), kind=Status, message=ConfigMap "spark-exec-ed9f2c861aa40b48-conf-map" is invalid: []: Too long: must have at most 1048576 bytes, metadata=ListMeta(_continue=null, remainingItemCount=null, resourceVersion=null, selfLink=null, additionalProperties={}), reason=Invalid, status=Failure, additionalProperties={}).
> at io.fabric8.kubernetes.client.dsl.base.OperationSupport.requestFailure(OperationSupport.java:682)
> at io.fabric8.kubernetes.client.dsl.base.OperationSupport.requestFailure(OperationSupport.java:661)
> at io.fabric8.kubernetes.client.dsl.base.OperationSupport.assertResponseCode(OperationSupport.java:612)
> at io.fabric8.kubernetes.client.dsl.base.OperationSupport.handleResponse(OperationSupport.java:555)
> at io.fabric8.kubernetes.client.dsl.base.OperationSupport.handleResponse(OperationSupport.java:518)
> at io.fabric8.kubernetes.client.dsl.base.OperationSupport.handleCreate(OperationSupport.java:305)
> at io.fabric8.kubernetes.client.dsl.base.BaseOperation.handleCreate(BaseOperation.java:644)
> at io.fabric8.kubernetes.client.dsl.base.BaseOperation.handleCreate(BaseOperation.java:83)
> at io.fabric8.kubernetes.client.dsl.base.CreateOnlyResourceOperation.create(CreateOnlyResourceOperation.java:61)
> at org.apache.spark.scheduler.cluster.k8s.KubernetesClusterSchedulerBackend.setUpExecutorConfigMap(KubernetesClusterSchedulerBackend.scala:88)
> at org.apache.spark.scheduler.cluster.k8s.KubernetesClusterSchedulerBackend.start(KubernetesClusterSchedulerBackend.scala:112)
> at org.apache.spark.scheduler.TaskSchedulerImpl.start(TaskSchedulerImpl.scala:222)
> at org.apache.spark.SparkContext.<init>(SparkContext.scala:595)
> at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2714)
> at org.apache.spark.sql.SparkSession$Builder.$anonfun$getOrCreate$2(SparkSession.scala:953)
> at scala.Option.getOrElse(Option.scala:189)
> at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:947)
> at org.apache.spark.examples.JavaSparkPi.main(JavaSparkPi.java:37)
> at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
> at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
> at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
> at java.lang.reflect.Method.invoke(Method.java:498)
> at org.apache.spark.deploy.JavaMainApplication.start(SparkApplication.scala:52)
> at org.apache.spark.deploy.SparkSubmit.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:958)
> at org.apache.spark.deploy.SparkSubmit.doRunMain$1(SparkSubmit.scala:180)
> at org.apache.spark.deploy.SparkSubmit.submit(SparkSubmit.scala:203)
> at org.apache.spark.deploy.SparkSubmit.doSubmit(SparkSubmit.scala:90)
> at org.apache.spark.deploy.SparkSubmit$$anon$2.doSubmit(SparkSubmit.scala:1046)
> at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:1055)
> at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
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