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From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-17241) Change metastore classes to not use the shims
Date Tue, 15 Aug 2017 00:59:00 GMT

    [ https://issues.apache.org/jira/browse/HIVE-17241?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16126688#comment-16126688
] 

Hive QA commented on HIVE-17241:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12881840/HIVE-17241.2.patch

{color:green}SUCCESS:{color} +1 due to 24 test(s) being added or modified.

{color:red}ERROR:{color} -1 due to 21 failed/errored test(s), 11017 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestBeeLineDriver.testCliDriver[insert_overwrite_local_directory_1]
(batchId=240)
org.apache.hadoop.hive.cli.TestBlobstoreCliDriver.testCliDriver[insert_overwrite_dynamic_partitions_merge_move]
(batchId=243)
org.apache.hadoop.hive.cli.TestBlobstoreCliDriver.testCliDriver[insert_overwrite_dynamic_partitions_merge_only]
(batchId=243)
org.apache.hadoop.hive.cli.TestBlobstoreCliDriver.testCliDriver[insert_overwrite_dynamic_partitions_move_only]
(batchId=243)
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[partition_wise_fileformat6] (batchId=7)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[columnstats_part_coltype]
(batchId=159)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[orc_merge1] (batchId=169)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[orc_merge3] (batchId=169)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[orc_merge_diff_fs] (batchId=169)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[quotedid_smb] (batchId=169)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_combine_equivalent_work]
(batchId=169)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_dynamic_partition_pruning]
(batchId=169)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_dynamic_partition_pruning_mapjoin_only]
(batchId=170)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_use_op_stats]
(batchId=169)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_vectorized_dynamic_partition_pruning]
(batchId=169)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[truncate_column_buckets]
(batchId=169)
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver[explainuser_3] (batchId=99)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query14] (batchId=235)
org.apache.hive.hcatalog.api.TestHCatClient.testPartitionRegistrationWithCustomSchema (batchId=180)
org.apache.hive.hcatalog.api.TestHCatClient.testPartitionSpecRegistrationWithCustomSchema
(batchId=180)
org.apache.hive.hcatalog.api.TestHCatClient.testTableSchemaPropagation (batchId=180)
{noformat}

Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/6392/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/6392/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-6392/

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: 21 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12881840 - PreCommit-HIVE-Build

> Change metastore classes to not use the shims
> ---------------------------------------------
>
>                 Key: HIVE-17241
>                 URL: https://issues.apache.org/jira/browse/HIVE-17241
>             Project: Hive
>          Issue Type: Sub-task
>          Components: Metastore
>            Reporter: Alan Gates
>            Assignee: Alan Gates
>         Attachments: HIVE-17241.2.patch, HIVE-17241.patch
>
>
> As part of moving the metastore into a standalone package, it will no longer have access
to the shims.  This means we need to either copy them or access the underlying Hadoop operations
directly.



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