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https://issues.apache.org/jira/browse/HIVE-17696?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16214566#comment-16214566
 ] 

Hive QA commented on HIVE-17696:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12892984/HIVE-17696.patch

{color:red}ERROR:{color} -1 due to no test(s) being added or modified.

{color:red}ERROR:{color} -1 due to 9 failed/errored test(s), 11315 tests 
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestMiniLlapCliDriver.testCliDriver[unionDistinct_1] 
(batchId=145)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[llap_acid_fast]
 (batchId=156)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[optimize_nullscan]
 (batchId=163)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[resourceplan]
 (batchId=158)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vector_partitioned_date_time]
 (batchId=163)
org.apache.hadoop.hive.cli.control.TestDanglingQOuts.checkDanglingQOut 
(batchId=204)
org.apache.hadoop.hive.ql.parse.TestReplicationScenarios.testConstraints 
(batchId=221)
org.apache.hadoop.hive.ql.parse.authorization.plugin.sqlstd.TestOperation2Privilege.checkHiveOperationTypeMatch
 (batchId=269)
org.apache.hive.jdbc.TestTriggersTezSessionPoolManager.testTriggerHighShuffleBytes
 (batchId=228)
{noformat}

Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/7440/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/7440/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-7440/

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: 9 tests failed
{noformat}

This message is automatically generated.

ATTACHMENT ID: 12892984 - PreCommit-HIVE-Build

> Vectorized reader does not seem to be pushing down projection columns in 
> certain code paths
> -------------------------------------------------------------------------------------------
>
>                 Key: HIVE-17696
>                 URL: https://issues.apache.org/jira/browse/HIVE-17696
>             Project: Hive
>          Issue Type: Sub-task
>            Reporter: Vihang Karajgaonkar
>            Assignee: Ferdinand Xu
>         Attachments: HIVE-17696.patch
>
>
> This is the code snippet from {{VectorizedParquetRecordReader.java}}
> {noformat}
> MessageType tableSchema;
>     if (indexAccess) {
>       List<Integer> indexSequence = new ArrayList<>();
>       // Generates a sequence list of indexes
>       for(int i = 0; i < columnNamesList.size(); i++) {
>         indexSequence.add(i);
>       }
>       tableSchema = DataWritableReadSupport.getSchemaByIndex(fileSchema, 
> columnNamesList,
>         indexSequence);
>     } else {
>       tableSchema = DataWritableReadSupport.getSchemaByName(fileSchema, 
> columnNamesList,
>         columnTypesList);
>     }
>     indexColumnsWanted = 
> ColumnProjectionUtils.getReadColumnIDs(configuration);
>     if (!ColumnProjectionUtils.isReadAllColumns(configuration) && 
> !indexColumnsWanted.isEmpty()) {
>       requestedSchema =
>         DataWritableReadSupport.getSchemaByIndex(tableSchema, 
> columnNamesList, indexColumnsWanted);
>     } else {
>       requestedSchema = fileSchema;
>     }
>     this.reader = new ParquetFileReader(
>       configuration, footer.getFileMetaData(), file, blocks, 
> requestedSchema.getColumns());
> {noformat}
> Couple of things to notice here:
> Most of this code is duplicated from {{DataWritableReadSupport.init()}} 
> method. 
> the else condition passes in fileSchema instead of using tableSchema like we 
> do in DataWritableReadSupport.init() method. Does this cause projection 
> columns to be missed when we read parquet files? We should probably just 
> reuse ReadContext returned from {{DataWritableReadSupport.init()}} method 
> here.



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