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From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-15199) INSERT INTO data on S3 is replacing the old rows with the new ones
Date Sat, 19 Nov 2016 00:35:59 GMT

    [ https://issues.apache.org/jira/browse/HIVE-15199?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15678226#comment-15678226
] 

Hive QA commented on HIVE-15199:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12839599/HIVE-15199.5.patch

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

{color:red}ERROR:{color} -1 due to 13 failed/errored test(s), 10668 tests executed
*Failed tests:*
{noformat}
TestSparkCliDriver - did not produce a TEST-*.xml file (likely timed out) (batchId=108)
	[tez_joins_explain.q,transform2.q,groupby5.q,cbo_semijoin.q,bucketmapjoin13.q,union_remove_6_subq.q,groupby2_map_multi_distinct.q,load_dyn_part9.q,multi_insert_gby2.q,vectorization_11.q,groupby_position.q,avro_compression_enabled_native.q,smb_mapjoin_8.q,join21.q,auto_join16.q]
TestSparkCliDriver - did not produce a TEST-*.xml file (likely timed out) (batchId=118)
	[stats12.q,groupby4.q,union_top_level.q,groupby10.q,subquery_in.q,mapjoin_filter_on_outerjoin.q,auto_sortmerge_join_4.q,limit_partition_metadataonly.q,load_dyn_part4.q,union3.q,groupby_multi_single_reducer.q,smb_mapjoin_14.q,groupby3_noskew_multi_distinct.q,stats18.q,union_remove_21.q]
org.apache.hadoop.hive.cli.TestMiniLlapCliDriver.testCliDriver[transform_ppr2] (batchId=133)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[join_acid_non_acid] (batchId=150)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[union_fast_stats] (batchId=145)
org.apache.hadoop.hive.cli.TestMiniTezCliDriver.testCliDriver[explainanalyze_3] (batchId=90)
org.apache.hadoop.hive.cli.TestSparkCliDriver.org.apache.hadoop.hive.cli.TestSparkCliDriver
(batchId=94)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[escape_sortby1] (batchId=111)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[groupby_multi_single_reducer3]
(batchId=111)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[join29] (batchId=111)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[leftsemijoin] (batchId=111)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[statsfs] (batchId=111)
org.apache.hadoop.hive.cli.TestSparkCliDriver.testCliDriver[union_remove_6] (batchId=111)
{noformat}

Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/2202/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/2202/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-2202/

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: 13 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12839599 - PreCommit-HIVE-Build

> INSERT INTO data on S3 is replacing the old rows with the new ones
> ------------------------------------------------------------------
>
>                 Key: HIVE-15199
>                 URL: https://issues.apache.org/jira/browse/HIVE-15199
>             Project: Hive
>          Issue Type: Bug
>          Components: Hive
>            Reporter: Sergio Peña
>            Assignee: Sergio Peña
>            Priority: Critical
>         Attachments: HIVE-15199.1.patch, HIVE-15199.2.patch, HIVE-15199.3.patch, HIVE-15199.4.patch,
HIVE-15199.5.patch
>
>
> Any INSERT INTO statement run on S3 tables and when the scratch directory is saved on
S3 is deleting old rows of the table.
> {noformat}
> hive> set hive.blobstore.use.blobstore.as.scratchdir=true;
> hive> create table t1 (id int, name string) location 's3a://spena-bucket/t1';
> hive> insert into table t1 values (1,'name1');
> hive> select * from t1;
> 1       name1
> hive> insert into table t1 values (2,'name2');
> hive> select * from t1;
> 2       name2
> {noformat}



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