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Date: Sat, 15 Jul 2017 01:27:00 +0000 (UTC)
From: "Hive QA (JIRA)" <jira@apache.org>
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Subject: [jira] [Commented] (HIVE-16990) REPL LOAD should update last repl
 ID only after successful copy of data files.
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archived-at: Sat, 15 Jul 2017 01:27:08 -0000


    [ https://issues.apache.org/jira/browse/HIVE-16990?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16088360#comment-16088360 ] 

Hive QA commented on HIVE-16990:
--------------------------------


Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12877395/HIVE-16990.01.patch

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

{color:red}ERROR:{color} -1 due to 17 failed/errored test(s), 10908 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestBeeLineDriver.testCliDriver[insert_overwrite_local_directory_1] (batchId=238)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[repl_2_exim_basic] (batchId=74)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[repl_3_exim_metadata] (batchId=55)
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.TestPerfCliDriver.testCliDriver[query14] (batchId=233)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query23] (batchId=233)
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)
org.apache.hive.hcatalog.api.repl.commands.TestCommands.testBasicReplEximCommands (batchId=178)
org.apache.hive.hcatalog.api.repl.commands.TestCommands.testMetadataReplEximCommands (batchId=178)
{noformat}

Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/6044/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/6044/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-6044/

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: 17 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12877395 - PreCommit-HIVE-Build

> REPL LOAD should update last repl ID only after successful copy of data files.
> ------------------------------------------------------------------------------
>
>                 Key: HIVE-16990
>                 URL: https://issues.apache.org/jira/browse/HIVE-16990
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Hive, repl
>    Affects Versions: 2.1.0
>            Reporter: Sankar Hariappan
>            Assignee: Sankar Hariappan
>              Labels: DR, replication
>             Fix For: 3.0.0
>
>         Attachments: HIVE-16990.01.patch
>
>
> For REPL LOAD operations that includes both metadata and data changes should follow the below rule.
> 1. Copy the metadata excluding the last repl ID.
> 2. Copy the data files
> 3. If Step 1 and 2 are successful, then update the last repl ID of the object.
> This rule will allow the the failed events to be re-applied by REPL LOAD and ensures no data loss due to failures.


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