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From "Hive QA (JIRA)" <>
Subject [jira] [Commented] (HIVE-17874) Parquet vectorization fails on tables with complex columns when there are no projected columns
Date Thu, 26 Oct 2017 17:57:01 GMT


Hive QA commented on HIVE-17874:

Here are the results of testing the latest attachment:

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

{color:red}ERROR:{color} -1 due to 6 failed/errored test(s), 11327 tests executed
*Failed tests:*
org.apache.hadoop.hive.cli.TestMiniLlapCliDriver.testCliDriver[orc_ppd_schema_evol_3a] (batchId=145)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[llap_acid] (batchId=164)
org.apache.hadoop.hive.cli.control.TestDanglingQOuts.checkDanglingQOut (batchId=205)
org.apache.hadoop.hive.ql.parse.TestReplicationScenarios.testConstraints (batchId=222)
org.apache.hive.jdbc.TestTriggersTezSessionPoolManager.testTriggerHighShuffleBytes (batchId=229)
org.apache.hive.jdbc.TestTriggersWorkloadManager.testTriggerHighShuffleBytes (batchId=229)

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: 6 tests failed

This message is automatically generated.

ATTACHMENT ID: 12894158 - PreCommit-HIVE-Build

> Parquet vectorization fails on tables with complex columns when there are no projected
> ----------------------------------------------------------------------------------------------
>                 Key: HIVE-17874
>                 URL:
>             Project: Hive
>          Issue Type: Sub-task
>    Affects Versions: 2.2.0
>            Reporter: Vihang Karajgaonkar
>            Assignee: Vihang Karajgaonkar
>         Attachments: HIVE-17874.01-branch-2.patch, HIVE-17874.01.patch, HIVE-17874.02.patch,
HIVE-17874.03.patch, HIVE-17874.04.patch, HIVE-17874.05.patch, HIVE-17874.06.patch
> When a parquet table contains an unsupported type like {{Map}}, {{LIST}} or {{UNION}}
simple queries like {{select count(*) from table}} fails with {{unsupported type exception}}
even though vectorized reader doesn't really need read the complex type into batches.

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