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https://issues.apache.org/jira/browse/GOBBLIN-1845?focusedWorklogId=866164&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-866164
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ASF GitHub Bot logged work on GOBBLIN-1845:
-------------------------------------------
Author: ASF GitHub Bot
Created on: 18/Jun/23 19:20
Start Date: 18/Jun/23 19:20
Worklog Time Spent: 10m
Work Description: mridulm commented on PR #3706:
URL: https://github.com/apache/gobblin/pull/3706#issuecomment-1596241791
This will work, but is performance a concern ?
If yes, setting the thread's context classloader to spark classloader should
fix that.
Issue Time Tracking
-------------------
Worklog Id: (was: 866164)
Time Spent: 0.5h (was: 20m)
> Java parallel stream usage causes class loader conflict when run with spark
> ---------------------------------------------------------------------------
>
> Key: GOBBLIN-1845
> URL: https://issues.apache.org/jira/browse/GOBBLIN-1845
> Project: Apache Gobblin
> Issue Type: Task
> Reporter: Vikram Bohra
> Priority: Major
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> DatasetsFinderFilteringDecorator uses parallel stream on datasets to filter
> them on predicates. When this code runs in spark, system class loader gets
> used to pickup hive jar instead of the current conext class loader which
> leads to ClassNotFound issues
> stacktrace
> {code:java}
> Caused by:
> MetaException(message:org.apache.hadoop.hive.metastore.HiveMetaStoreClient
> class not found)
> at
> org.apache.hadoop.hive.metastore.MetaStoreUtils.getClass(MetaStoreUtils.java:1494)
> at
> org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:130)
> at
> org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:104)
> at
> org.apache.hadoop.hive.metastore.RetryingMetaStoreClient.getProxy(RetryingMetaStoreClient.java:98)
> at
> org.apache.gobblin.hive.HiveMetaStoreClientFactory.createMetaStoreClient(HiveMetaStoreClientFactory.java:100)
> at
> org.apache.gobblin.hive.HiveMetaStoreClientFactory.create(HiveMetaStoreClientFactory.java:106)
> {code}
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