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From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-12631) LLAP: support ORC ACID tables
Date Sat, 15 Jul 2017 11:23:00 GMT

    [ https://issues.apache.org/jira/browse/HIVE-12631?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16088551#comment-16088551
] 

Hive QA commented on HIVE-12631:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12877443/HIVE-12631.23.patch

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

{color:red}ERROR:{color} -1 due to 15 failed/errored test(s), 11055 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestBeeLineDriver.testCliDriver[insert_overwrite_local_directory_1]
(batchId=238)
org.apache.hadoop.hive.cli.TestMiniLlapCliDriver.testCliDriver[llap_smb] (batchId=143)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_dynamic_partition_pruning]
(batchId=167)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_dynamic_partition_pruning_2]
(batchId=169)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_explainuser_1]
(batchId=168)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_use_op_stats]
(batchId=167)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_use_ts_stats_for_mapjoin]
(batchId=168)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_vectorized_dynamic_partition_pruning]
(batchId=167)
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver[explainanalyze_2] (batchId=99)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query14] (batchId=233)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query23] (batchId=233)
org.apache.hadoop.hive.cli.TestSparkCliDriver.org.apache.hadoop.hive.cli.TestSparkCliDriver
(batchId=108)
org.apache.hive.hcatalog.api.TestHCatClient.testPartitionRegistrationWithCustomSchema (batchId=178)
org.apache.hive.hcatalog.api.TestHCatClient.testPartitionSpecRegistrationWithCustomSchema
(batchId=178)
org.apache.hive.hcatalog.api.TestHCatClient.testTableSchemaPropagation (batchId=178)
{noformat}

Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/6049/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/6049/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-6049/

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: 15 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12877443 - PreCommit-HIVE-Build

> LLAP: support ORC ACID tables
> -----------------------------
>
>                 Key: HIVE-12631
>                 URL: https://issues.apache.org/jira/browse/HIVE-12631
>             Project: Hive
>          Issue Type: Bug
>          Components: llap, Transactions
>            Reporter: Sergey Shelukhin
>            Assignee: Teddy Choi
>         Attachments: HIVE-12631.10.patch, HIVE-12631.10.patch, HIVE-12631.11.patch, HIVE-12631.11.patch,
HIVE-12631.12.patch, HIVE-12631.13.patch, HIVE-12631.15.patch, HIVE-12631.16.patch, HIVE-12631.17.patch,
HIVE-12631.18.patch, HIVE-12631.19.patch, HIVE-12631.1.patch, HIVE-12631.20.patch, HIVE-12631.21.patch,
HIVE-12631.22.patch, HIVE-12631.23.patch, HIVE-12631.2.patch, HIVE-12631.3.patch, HIVE-12631.4.patch,
HIVE-12631.5.patch, HIVE-12631.6.patch, HIVE-12631.7.patch, HIVE-12631.8.patch, HIVE-12631.8.patch,
HIVE-12631.9.patch
>
>
> LLAP uses a completely separate read path in ORC to allow for caching and parallelization
of reads and processing. This path does not support ACID. As far as I remember ACID logic
is embedded inside ORC format; we need to refactor it to be on top of some interface, if practical;
or just port it to LLAP read path.
> Another consideration is how the logic will work with cache. The cache is currently low-level
(CB-level in ORC), so we could just use it to read bases and deltas (deltas should be cached
with higher priority) and merge as usual. We could also cache merged representation in future.



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