Rui Li created HIVE-28121:
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Summary: Use direct SQL for transactional altering table parameter
Key: HIVE-28121
URL: https://issues.apache.org/jira/browse/HIVE-28121
Project: Hive
Issue Type: Bug
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Rui Li commented on HIVE-26882:
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[~pvary] thanks for the pointer. I think it might work. Will run our e2e
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Rui Li commented on HIVE-26882:
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Hi [~pvary], I tried writing direct SQL with JDO:
{code:Java}
String dml =
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Rui Li commented on HIVE-26882:
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bq. I'm trying to suggest to use the direct SQL to update the metadata
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Rui Li commented on HIVE-26882:
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bq. What do you see as an issue with that?
The issue is each alter table
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Rui Li commented on HIVE-26882:
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I found two options for MariaDB:
# Use SERIALIZABLE level.
# Use
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Rui Li commented on HIVE-26882:
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In terms of performance, we tested both SERIALIZABLE, and REPEATABLE_READ
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Rui Li commented on HIVE-26882:
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Hi [~pvary], I tested using docker image {{{}mysql:5.6.17{}}}.
Tried both
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Rui Li commented on HIVE-26882:
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I tried running these SQLs in each transaction, but none of them made the
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Rui Li commented on HIVE-26882:
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I run our test again, with MariaDB at SERIALIZABLE level and the results
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Rui Li edited comment on HIVE-26882 at 3/7/24 8:34 AM:
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[~pvary] Thanks for your
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Rui Li commented on HIVE-26882:
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[~pvary] Thanks for your comment. I ran some test for the scenarios
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Rui Li edited comment on HIVE-26882 at 3/5/24 3:50 PM:
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I tested again with MariaDB
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Rui Li commented on HIVE-26882:
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And if this feature has only been verified with Postgres, perhaps we
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Rui Li edited comment on HIVE-26882 at 3/5/24 3:22 PM:
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I tested again with MariaDB
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Rui Li commented on HIVE-26882:
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I tested again with MariaDB and there're fewer commit conflicts in HMS log
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Rui Li commented on HIVE-26882:
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Hey [~pvary], thanks for your insights! I'll check whether the number of
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Rui Li commented on HIVE-26882:
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Hi [~pvary], we're trying to improve performance of concurrent write to
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Rui Li reassigned HIVE-7292:
Assignee: Xuefu Zhang (was: Hui An)
> Hive on Spark
> -
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> Key: HIVE-7292
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Rui Li commented on HIVE-17133:
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While HADOOP-14683 has been fixed, it seems we still have to fix on our
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Rui Li updated HIVE-17133:
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Status: Patch Available (was: Open)
> NoSuchMethodError in Hadoop FileStatus.compareTo
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Rui Li reassigned HIVE-17133:
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Assignee: Rui Li
> NoSuchMethodError in Hadoop FileStatus.compareTo
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Rui Li updated HIVE-17133:
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Attachment: HIVE-17133.1.patch
> NoSuchMethodError in Hadoop FileStatus.compareTo
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Rui Li commented on HIVE-22158:
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Thanks [~ngangam]. Setting {{metastore.warehouse.external.dir}} solves my
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Rui Li commented on HIVE-22158:
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Hi [~ngangam], I recently hit some issue with this change. When I create
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Rui Li commented on HIVE-22053:
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Thanks [~pvary] :)
> Function name is not normalized when creating
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Rui Li updated HIVE-22053:
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Resolution: Fixed
Fix Version/s: 4.0.0
Status: Resolved (was: Patch Available)
Guess PR is
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Rui Li commented on HIVE-22053:
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Thanks [~xuefuz] for the review.
[~pvary] it'd be good if you can also
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Rui Li commented on HIVE-22053:
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cc [~xuefuz]
> Function name is not normalized when creating function
>
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Rui Li updated HIVE-22053:
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Status: Patch Available (was: Open)
> Function name is not normalized when creating function
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Rui Li updated HIVE-22053:
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Attachment: HIVE-22053.1.patch
> Function name is not normalized when creating function
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Rui Li reassigned HIVE-22053:
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> Function name is not normalized when creating function
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Rui Li updated HIVE-2:
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Resolution: Fixed
Fix Version/s: 4.0.0
Status: Resolved (was: Patch Available)
>
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Rui Li commented on HIVE-2:
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[~qunyan] glad to know it helps. Closing this one.
> ConditionalTask
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Rui Li commented on HIVE-2:
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I'm not sure whether it's valid to have a conditional task in another
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Rui Li commented on HIVE-2:
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[~qunyan], could you provide a case that can reproduce this issue?
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Rui Li commented on HIVE-17020:
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Hi [~vgarg], is the failure just due to output diff?
> Aggressive RS
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Rui Li commented on HIVE-17020:
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+1
> Aggressive RS dedup can incorrectly remove OP tree branch
>
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Rui Li commented on HIVE-17020:
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{code}
quotedid_smb.q,\
+ reducesink_dedup.q\
resourceplan.q,\
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Rui Li updated HIVE-14557:
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Resolution: Fixed
Fix Version/s: 4.0.0
Status: Resolved (was: Patch Available)
Pushed to
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Rui Li updated HIVE-14557:
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Attachment: HIVE-14557.3.patch
> Nullpointer When both SkewJoin and Mapjoin Enabled
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Rui Li commented on HIVE-14557:
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Sure, attaching the same patch
> Nullpointer When both SkewJoin and
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Rui Li commented on HIVE-14557:
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The metastore tests passed on my laptop. [~ychena], any idea what might be
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Rui Li commented on HIVE-14557:
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Sorry about the late response. Attach an updated patch.
> Nullpointer
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Rui Li updated HIVE-14557:
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Attachment: HIVE-14557.3.patch
> Nullpointer When both SkewJoin and Mapjoin Enabled
>
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Rui Li commented on HIVE-14557:
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[~aihuaxu], could you please verify whether the patch can solve your
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Rui Li commented on HIVE-14557:
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Upload a patch based on Nemon's solution.
> Nullpointer When both
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Rui Li updated HIVE-14557:
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Attachment: HIVE-14557.2.patch
> Nullpointer When both SkewJoin and Mapjoin Enabled
>
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Rui Li reassigned HIVE-14557:
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Assignee: Rui Li
> Nullpointer When both SkewJoin and Mapjoin Enabled
>
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Rui Li commented on HIVE-20032:
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+1
> Don't serialize hashCode for repartitionAndSortWithinPartitions
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Rui Li commented on HIVE-20032:
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[~stakiar], thanks for update. I can run my queries with latest patch.
For
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Rui Li commented on HIVE-20032:
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bq. I originally thought that --jars would add the specified jars to the
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Rui Li commented on HIVE-20032:
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I run a simple query in yarn-cluster mode with patch v8 and hit an issue:
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Rui Li commented on HIVE-20032:
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Hi [~stakiar], I left some comments on RB. Meanwhile, could you explain
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Rui Li commented on HIVE-20056:
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+1
> SparkPartitionPruner shouldn't be triggered by Spark tasks
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Rui Li commented on HIVE-20056:
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Thanks [~stakiar], nice catch. Patch looks good to me.
Nit:
{code}
+if
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Rui Li commented on HIVE-20032:
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Hi [~stakiar], kryo was relocated not just because Spark uses a different
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Rui Li commented on HIVE-20032:
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Hi [~stakiar], thanks for working on this. There're other cases where RDD
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Rui Li commented on HIVE-20007:
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I see. Thanks [~jcamachorodriguez].
> Hive should carry out timestamp
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Rui Li commented on HIVE-20007:
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[~ashutoshc] suggested in HIVE-14412 that we should replace
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Rui Li commented on HIVE-19671:
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We can check all RS and look for non-deterministic UDF in partition keys
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Rui Li commented on HIVE-19671:
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[~xuefuz], I agree it's not trivial to solve this on Hive side. Maybe we
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Rui Li commented on HIVE-19671:
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[~xuefuz], thanks for your input. I think rand(seed) may not work if the
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Rui Li updated HIVE-19895:
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Description: With HIVE-19237 in place, seems we don't need to maintain a
unique ID in
> The unique ID in
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Rui Li updated HIVE-19895:
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Description: With HIVE-19237 in place, seems we don't need to maintain a
unique ID in
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Rui Li commented on HIVE-18533:
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[~stakiar], please take a look at the Yetus report. I think some warnings
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Rui Li commented on HIVE-16391:
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[~jerryshao], assigning this to you so you should have permission to
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Rui Li reassigned HIVE-16391:
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Assignee: Saisai Shao
> Publish proper Hive 1.2 jars (without including all dependencies in uber jar)
>
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Rui Li commented on HIVE-19602:
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Thanks for pinging me. +1 pending test
> Refactor inplace progress code
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Rui Li commented on HIVE-19237:
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Thanks [~kgyrtkirk], I think it works. For this particular issue, seems
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Rui Li commented on HIVE-19237:
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[~kgyrtkirk], I agree storing origin ID is not ideal and I'd be happy to
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Rui Li commented on HIVE-18533:
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[~stakiar] sorry I overlooked your previous comments. +1 pending tests
bq.
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Rui Li commented on HIVE-19237:
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Hey [~kgyrtkirk], how about we do it this way:
# The old id should only be
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Rui Li commented on HIVE-19237:
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Hi [~kgyrtkirk], my concern is there can be multiple logically-same
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Rui Li commented on HIVE-19237:
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The spark tests failed because some code relies on the operatorId to
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Rui Li commented on HIVE-19671:
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Verified the issue only happens when there're task retries. I can think of
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Rui Li reassigned HIVE-19671:
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Assignee: Rui Li
> Distribute by rand() can lead to data inconsistency
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Rui Li commented on HIVE-19671:
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I haven't verified it but my guess is the issue happens with task failover.
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Rui Li updated HIVE-19671:
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Description:
Noticed the following queries can give different results:
{code}
select count(*) from tbl;
select
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Rui Li commented on HIVE-18533:
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Seems the new qtest has unstable output. Please look into it.
Some more
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Rui Li commented on HIVE-18533:
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Thanks for the update [~stakiar]. There's some issue with
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Rui Li commented on HIVE-18533:
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Hi [~stakiar], my concern for SparkLauncherFuture is mainly about the
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https://issues.apache.org/jira/browse/HIVE-19439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16466775#comment-16466775
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Rui Li commented on HIVE-19439:
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BTW, the hash table is loaded when we init the dummy operators
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Rui Li commented on HIVE-19439:
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Hi [~vihangk1], the task is retried by Spark, and it calls
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https://issues.apache.org/jira/browse/HIVE-19388?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16465911#comment-16465911
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Rui Li commented on HIVE-19388:
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[~vihangk1], thanks for fixing this. The change looks good. +1
As for your
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https://issues.apache.org/jira/browse/HIVE-18533?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16465624#comment-16465624
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Rui Li commented on HIVE-18533:
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Hi [~stakiar], for SparkLauncherSparkClient, how about we use a thread to
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https://issues.apache.org/jira/browse/HIVE-18533?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16462612#comment-16462612
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Rui Li commented on HIVE-18533:
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Hi [~stakiar], could you explain why we now need to monitor the driver with
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https://issues.apache.org/jira/browse/HIVE-18533?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16461318#comment-16461318
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Rui Li commented on HIVE-18533:
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[~stakiar], thanks for working on this and sorry for the delay. I had a
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https://issues.apache.org/jira/browse/HIVE-19316?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16457537#comment-16457537
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Rui Li commented on HIVE-19316:
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My understanding is we can't send LongColumnStatsDataInspector over thrift.
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Rui Li commented on HIVE-19316:
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The issue only happens with remote HMS. We're expecting
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https://issues.apache.org/jira/browse/HIVE-19266?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16453553#comment-16453553
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Rui Li commented on HIVE-19266:
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Hey [~jason4z], thanks for reporting the this. The issue should have been
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https://issues.apache.org/jira/browse/HIVE-17193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rui Li updated HIVE-17193:
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Resolution: Fixed
Fix Version/s: 3.1.0
Status: Resolved (was: Patch Available)
Pushed to
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https://issues.apache.org/jira/browse/HIVE-18862?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16451595#comment-16451595
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Rui Li commented on HIVE-18862:
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It's great if we can have this in branch-3, which makes it easier to cherry
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https://issues.apache.org/jira/browse/HIVE-17193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rui Li updated HIVE-17193:
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Attachment: HIVE-17193.5.patch
> HoS: don't combine map works that are targets of different DPPs
>
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Rui Li commented on HIVE-17193:
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The failures are not related. [~stakiar], could you take a look at the
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https://issues.apache.org/jira/browse/HIVE-17193?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rui Li updated HIVE-17193:
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Attachment: HIVE-17193.4.patch
> HoS: don't combine map works that are targets of different DPPs
>
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https://issues.apache.org/jira/browse/HIVE-18831?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16432179#comment-16432179
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Rui Li commented on HIVE-18831:
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+1 pending test
> Differentiate errors that are thrown by Spark tasks
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Rui Li commented on HIVE-18831:
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Thanks [~stakiar] for the update. The patch looks good to me overall,
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Rui Li updated HIVE-17193:
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Attachment: HIVE-17193.3.patch
> HoS: don't combine map works that are targets of different DPPs
>
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https://issues.apache.org/jira/browse/HIVE-18955?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Rui Li updated HIVE-18955:
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Resolution: Fixed
Fix Version/s: 3.0.0
Status: Resolved (was: Patch Available)
Pushed to
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