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https://issues.apache.org/jira/browse/HIVE-23230?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17089003#comment-17089003
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Hive QA commented on HIVE-23230:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/13000674/HIVE-23230.2.patch
{color:green}SUCCESS:{color} +1 due to 3 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 15 failed/errored test(s), 17135 tests
executed
*Failed tests:*
{noformat}
org.apache.hive.jdbc.TestJdbcWithMiniLlapArrow.testComplexQuery (batchId=215)
org.apache.hive.jdbc.TestJdbcWithMiniLlapArrow.testMultipleBatchesOfComplexTypes
(batchId=215)
org.apache.hive.jdbc.TestJdbcWithMiniLlapRow.testComplexQuery (batchId=216)
org.apache.hive.jdbc.TestJdbcWithMiniLlapRow.testMultipleBatchesOfComplexTypes
(batchId=216)
org.apache.hive.jdbc.TestJdbcWithMiniLlapVectorArrow.testComplexQuery
(batchId=218)
org.apache.hive.jdbc.TestJdbcWithMiniLlapVectorArrow.testLlapInputFormatEndToEnd
(batchId=218)
org.apache.hive.jdbc.TestJdbcWithMiniLlapVectorArrow.testMultipleBatchesOfComplexTypes
(batchId=218)
org.apache.hive.jdbc.TestJdbcWithMiniLlapVectorArrow.testTypesNestedInListWithLimitAndFilters
(batchId=218)
org.apache.hive.jdbc.TestJdbcWithMiniLlapVectorArrow.testTypesNestedInMapWithLimitAndFilters
(batchId=218)
org.apache.hive.jdbc.TestJdbcWithMiniLlapVectorArrowBatch.testLlapInputFormatEndToEndWithMultipleBatches
(batchId=216)
org.apache.hive.jdbc.TestJdbcWithMiniLlapVectorArrowBatch.testMultipleBatchesOfComplexTypes
(batchId=216)
org.apache.hive.jdbc.TestNewGetSplitsFormat.testComplexQuery (batchId=216)
org.apache.hive.jdbc.TestNewGetSplitsFormat.testMultipleBatchesOfComplexTypes
(batchId=216)
org.apache.hive.jdbc.TestNewGetSplitsFormatReturnPath.testComplexQuery
(batchId=218)
org.apache.hive.jdbc.TestNewGetSplitsFormatReturnPath.testMultipleBatchesOfComplexTypes
(batchId=218)
{noformat}
Test results:
https://builds.apache.org/job/PreCommit-HIVE-Build/21831/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/21831/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-21831/
Messages:
{noformat}
Executing org.apache.hive.ptest.execution.TestCheckPhase
Executing org.apache.hive.ptest.execution.PrepPhase
Executing org.apache.hive.ptest.execution.YetusPhase
Executing org.apache.hive.ptest.execution.ExecutionPhase
Executing org.apache.hive.ptest.execution.ReportingPhase
Tests exited with: TestsFailedException: 15 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 13000674 - PreCommit-HIVE-Build
> "get_splits" udf ignores limit constraint while creating splits
> ---------------------------------------------------------------
>
> Key: HIVE-23230
> URL: https://issues.apache.org/jira/browse/HIVE-23230
> Project: Hive
> Issue Type: Bug
> Components: HiveServer2
> Affects Versions: 3.1.0
> Reporter: Adesh Kumar Rao
> Assignee: Adesh Kumar Rao
> Priority: Major
> Attachments: HIVE-23230.1.patch, HIVE-23230.2.patch, HIVE-23230.patch
>
>
> Issue: Running the query {noformat}select * from <table> limit n{noformat}
> from spark via hive warehouse connector may return more rows than "n".
> This happens because "get_splits" udf creates splits ignoring the limit
> constraint. These splits when submitted to multiple llap daemons will return
> "n" rows each.
> How to reproduce: Needs spark-shell, hive-warehouse-connector and hive on
> llap with more that 1 llap daemons running.
> run below commands via beeline to create and populate the table
>
> {noformat}
> create table test (id int);
> insert into table test values (1);
> insert into table test values (2);
> insert into table test values (3);
> insert into table test values (4);
> insert into table test values (5);
> insert into table test values (6);
> insert into table test values (7);
> delete from test where id = 7;{noformat}
> now running below query via spark-shell
> {noformat}
> import com.hortonworks.hwc.HiveWarehouseSession
> val hive = HiveWarehouseSession.session(spark).build()
> hive.executeQuery("select * from test limit 1").show()
> {noformat}
> will return more than 1 rows.
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