Hello All, After upgrading Datahub from version 0...
# all-things-deployment
s
Hello All, After upgrading Datahub from version 0.10.2 to 0.12.0 I am getting RecordTooLargeException after running RestoreIndices from Datahub-upgrade. Is there anything I am missing or the message size has been increased in v12? My kafka setting has
max.message.bytes	1048588
. Is there any recomended max message size limit?
Caused by: org.apache.kafka.common.errors.RecordTooLargeException: The message is 1279629 bytes when serialized which is larger than 1048576, which is the value of the max.request.size configuration.
java.util.concurrent.ExecutionException: javax.persistence.PersistenceException: Error loading on com.linkedin.metadata.entity.ebean.EbeanAspectV2.createdOn at java.base/java.util.concurrent.FutureTask.report(FutureTask.java:122) at java.base/java.util.concurrent.FutureTask.get(FutureTask.java:191) at com.linkedin.datahub.upgrade.restoreindices.SendMAEStep.iterateFutures(SendMAEStep.java:73) at com.linkedin.datahub.upgrade.restoreindices.SendMAEStep.lambda$executable$0(SendMAEStep.java:141) at com.linkedin.datahub.upgrade.impl.DefaultUpgradeManager.executeStepInternal(DefaultUpgradeManager.java:110) at com.linkedin.datahub.upgrade.impl.DefaultUpgradeManager.executeInternal(DefaultUpgradeManager.java:68) at com.linkedin.datahub.upgrade.impl.DefaultUpgradeManager.executeInternal(DefaultUpgradeManager.java:42) at com.linkedin.datahub.upgrade.impl.DefaultUpgradeManager.execute(DefaultUpgradeManager.java:33) at com.linkedin.datahub.upgrade.UpgradeCli.run(UpgradeCli.java:80) at org.springframework.boot.SpringApplication.callRunner(SpringApplication.java:768) at org.springframework.boot.SpringApplication.callRunners(SpringApplication.java:752) at org.springframework.boot.SpringApplication.run(SpringApplication.java:314) at org.springframework.boot.builder.SpringApplicationBuilder.run(SpringApplicationBuilder.java:164) at com.linkedin.datahub.upgrade.UpgradeCliApplication.main(UpgradeCliApplication.java:23) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke0(Native Method) at java.base/jdk.internal.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:77) at java.base/jdk.internal.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) at java.base/java.lang.reflect.Method.invoke(Method.java:568) at org.springframework.boot.loader.MainMethodRunner.run(MainMethodRunner.java:49) at org.springframework.boot.loader.Launcher.launch(Launcher.java:108) at org.springframework.boot.loader.Launcher.launch(Launcher.java:58) at org.springframework.boot.loader.JarLauncher.main(JarLauncher.java:65) Caused by: javax.persistence.PersistenceException: Error loading on com.linkedin.metadata.entity.ebean.EbeanAspectV2.createdOn at io.ebeaninternal.server.querydefn.DefaultOrmQuery.handleLoadError(DefaultOrmQuery.java:2008) at io.ebeaninternal.server.query.CQuery.handleLoadError(CQuery.java:754) at io.ebeaninternal.server.query.SqlBeanLoad.load(SqlBeanLoad.java:66) at io.ebeaninternal.server.deploy.BeanProperty.load(BeanProperty.java:514) at io.ebeaninternal.server.query.SqlTreeLoadBean$Load.loadProperties(SqlTreeLoadBean.java:213) at io.ebeaninternal.server.query.SqlTreeLoadBean$Load.initialise(SqlTreeLoadBean.java:327) at io.ebeaninternal.server.query.SqlTreeLoadBean$Load.perform(SqlTreeLoadBean.java:335) at io.ebeaninternal.server.query.SqlTreeLoadBean.load(SqlTreeLoadBean.java:358) at io.ebeaninternal.server.query.SqlTreeLoadRoot.load(SqlTreeLoadRoot.java:26) at io.ebeaninternal.server.query.CQuery.readNextBean(CQuery.java:409) at io.ebeaninternal.server.query.CQuery.hasNext(CQuery.java:489) at io.ebeaninternal.server.query.CQuery.readCollection(CQuery.java:518) at io.ebeaninternal.server.query.CQueryEngine.findMany(CQueryEngine.java:356) at io.ebeaninternal.server.query.DefaultOrmQueryEngine.findMany(DefaultOrmQueryEngine.java:131) at io.ebeaninternal.server.core.OrmQueryRequest.findList(OrmQueryRequest.java:404) at io.ebeaninternal.server.core.DefaultServer.findList(DefaultServer.java:1463) at io.ebeaninternal.server.core.DefaultServer.findList(DefaultServer.java:1442) at io.ebeaninternal.server.query.LimitOffsetPagedList.getList(LimitOffsetPagedList.java:66) at com.linkedin.metadata.entity.EntityServiceImpl.restoreIndices(EntityServiceImpl.java:937) at com.linkedin.datahub.upgrade.restoreindices.SendMAEStep$KafkaJob.call(SendMAEStep.java:49) at com.linkedin.datahub.upgrade.restoreindices.SendMAEStep$KafkaJob.call(SendMAEStep.java:40) at java.base/java.util.concurrent.FutureTask.run(FutureTask.java:264) at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1136) at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:635) at java.base/java.lang.Thread.run(Thread.java:833) Caused by: javax.persistence.PersistenceException: Error readSet on com.linkedin.metadata.entity.ebean.EbeanAspectV2.createdOn at io.ebeaninternal.server.deploy.BeanProperty.readSet(BeanProperty.java:539) at io.ebeaninternal.server.deploy.BeanProperty.readSet(BeanProperty.java:548) at io.ebeaninternal.server.query.SqlBeanLoad.load(SqlBeanLoad.java:63) ... 22 more Caused by: java.lang.NullPointerException: Cannot invoke "com.mysql.cj.protocol.ColumnDefinition.getFields()" because "this.columnDefinition" is null at com.mysql.cj.jdbc.result.ResultSetImpl.checkColumnBounds(ResultSetImpl.java:508) at com.mysql.cj.jdbc.result.ResultSetImpl.getTimestamp(ResultSetImpl.java:977) at io.ebeaninternal.server.type.RsetDataReader.getTimestamp(RsetDataReader.java:171) at io.ebeaninternal.server.type.ScalarTypeTimestamp.read(ScalarTypeTimestamp.java:70) at io.ebeaninternal.server.type.ScalarTypeTimestamp.read(ScalarTypeTimestamp.java:18) at io.ebeaninternal.server.deploy.BeanProperty.readSet(BeanProperty.java:533) ... 24 more
r
@billions-tailor-78534 might be able to help on this one!
g
By default, Kafka has a default limit of 1MB per message in the topic. maybe this blog can help you resolve the issue https://www.conduktor.io/kafka/how-to-send-large-messages-in-apache-kafka/ if your deployment with Datahub Helm chart you set this param
KAFKA_PRODUCER_MAX_REQUEST_SIZE
value higher (like 2MB or %MB)
s
My team ran into the same issue and were unable to get past the problem despite trying a ton of different env var settings. I'm currently waiting for 0.12.1 to come out before getting back into it in hopes that this change resolves our problem
f
we are also awaiting for v0.12.1 , just wondering when it will be live ?
s
It went live late last week!
I started our upgrade this morning and got past the Kafka errors that we were encountering earlier. Looks like #9038 resolved the problem
f
sorry i may be wrong here , but i don't see it in release history .
s
It's in a pre-release state right now
But the docker images are available for download under tag
v0.12.1
f
ah ok , got it , i m waiting for final release 🙂 .
s
Fair enough. We have a dev DataHub environment so I wasn't too worried about grabbing a pre-release