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From "Hive QA (JIRA)" <>
Subject [jira] [Commented] (HIVE-15665) LLAP: OrcFileMetadata objects in cache can impact heap usage
Date Fri, 01 Sep 2017 21:38:00 GMT


Hive QA commented on HIVE-15665:

Here are the results of testing the latest attachment:

{color:green}SUCCESS:{color} +1 due to 2 test(s) being added or modified.

{color:red}ERROR:{color} -1 due to 8 failed/errored test(s), 11023 tests executed
*Failed tests:*
TestTxnCommandsBase - did not produce a TEST-*.xml file (likely timed out) (batchId=280)
org.apache.hadoop.hive.cli.TestBlobstoreCliDriver.testCliDriver[rcfile_format_nonpart] (batchId=242)
org.apache.hadoop.hive.cli.TestMiniLlapCliDriver.testCliDriver[unionDistinct_1] (batchId=143)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query14] (batchId=234)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query23] (batchId=234)
org.apache.hadoop.hive.ql.lockmgr.TestDbTxnManager2.testWriteSetTracking8 (batchId=282)

Test results:
Console output:
Test logs:

Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 8 tests failed

This message is automatically generated.

ATTACHMENT ID: 12884992 - PreCommit-HIVE-Build

> LLAP: OrcFileMetadata objects in cache can impact heap usage
> ------------------------------------------------------------
>                 Key: HIVE-15665
>                 URL:
>             Project: Hive
>          Issue Type: Improvement
>          Components: llap
>            Reporter: Rajesh Balamohan
>            Assignee: Sergey Shelukhin
>         Attachments: HIVE-15665.01.patch, HIVE-15665.02.patch, HIVE-15665.03.patch, HIVE-15665.04.patch,
HIVE-15665.05.patch, HIVE-15665.06.patch, HIVE-15665.07.patch, HIVE-15665.08.patch, HIVE-15665.09.patch,
HIVE-15665.10.patch, HIVE-15665.patch
> OrcFileMetadata internally has filestats, stripestats etc which are allocated in heap.
On large data sets, this could have an impact on the heap usage and the memory usage by different
executors in LLAP.

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