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https://issues.apache.org/jira/browse/HIVE-14815?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15561193#comment-15561193
]
Hive QA commented on HIVE-14815:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12832387/HIVE-14815.patch
{color:green}SUCCESS:{color} +1 due to 2 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 6 failed/errored test(s), 10671 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[vectorized_parquet]
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[vectorized_parquet_types]
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vectorized_parquet]
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vectorized_parquet_types]
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver[explainanalyze_2]
org.apache.hive.jdbc.TestJdbcWithMiniHS2.testAddJarConstructorUnCaching
{noformat}
Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/1450/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/1450/console
Test logs:
http://ec2-204-236-174-241.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-Build-1450/
Messages:
{noformat}
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
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12832387 - PreCommit-HIVE-Build
> Implement Parquet vectorization reader
> ---------------------------------------
>
> Key: HIVE-14815
> URL: https://issues.apache.org/jira/browse/HIVE-14815
> Project: Hive
> Issue Type: Sub-task
> Reporter: Ferdinand Xu
> Assignee: Ferdinand Xu
> Attachments: HIVE-14815.patch
>
>
> Parquet doesn't provide a vectorized reader which can be used by Hive
> directly. Also for Decimal Column batch, it consists of a batch of
> HiveDecimal which is a Hive type which is unknown for Parquet. To support
> Hive vectorization execution engine in Hive, we have to implement the
> vectorized Parquet reader in Hive side. To limit the performance impacts, we
> need to implement a page level vectorized reader.
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