[
https://issues.apache.org/jira/browse/HIVE-16895?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16112612#comment-16112612
]
anishek commented on HIVE-16895:
--------------------------------
*
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_dynamic_partition_pruning]
: runs fine on local machine
*
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_combine_equivalent_work]
: runs fine on local machine
*
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_use_op_stats]
: runs fine on local machine
*
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[orc_merge_diff_fs]
: runs fine on local machine
*
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[quotedid_smb]
: runs fine on local machine
*
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[truncate_column_buckets]
: runs fine on local machine
*
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[orc_merge3]
: runs fine on local machine
other tests are failing from old builds.
[~thejas]/[~sankarh]/[~daijy] please review
> Multi-threaded execution of bootstrap dump of partitions
> ---------------------------------------------------------
>
> Key: HIVE-16895
> URL: https://issues.apache.org/jira/browse/HIVE-16895
> Project: Hive
> Issue Type: Sub-task
> Components: HiveServer2
> Affects Versions: 3.0.0
> Reporter: anishek
> Assignee: anishek
> Fix For: 3.0.0
>
> Attachments: HIVE-16895.1.patch
>
>
> to allow faster execution of bootstrap dump phase we dump multiple partitions
> from same table simultaneously.
> even though dumping functions is not going to be a blocker, moving to
> similar execution modes for all metastore objects will make code more
> coherent.
> Bootstrap dump at db level does :
> * boostrap of all tables
> ** boostrap of all partitions in a table. (scope of current jira)
> * boostrap of all functions
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
