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https://issues.apache.org/jira/browse/HIVE-16559?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16063052#comment-16063052
]
Hive QA commented on HIVE-16559:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12874485/HIVE-16559.06.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), 10846 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestBeeLineDriver.testCliDriver[insert_overwrite_local_directory_1]
(batchId=238)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[tez_smb_main]
(batchId=150)
org.apache.hadoop.hive.cli.TestMiniLlapLocalCliDriver.testCliDriver[vector_if_expr]
(batchId=146)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query14]
(batchId=233)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query16]
(batchId=233)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query23]
(batchId=233)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query94]
(batchId=233)
org.apache.hadoop.hive.ql.parse.TestReplicationScenariosAcrossInstances.testBootstrapFunctionReplication
(batchId=217)
org.apache.hadoop.hive.ql.parse.TestReplicationScenariosAcrossInstances.testCreateFunctionIncrementalReplication
(batchId=217)
org.apache.hadoop.hive.ql.parse.TestReplicationScenariosAcrossInstances.testCreateFunctionWithFunctionBinaryJarsOnHDFS
(batchId=217)
org.apache.hive.hcatalog.api.TestHCatClient.testPartitionRegistrationWithCustomSchema
(batchId=178)
org.apache.hive.hcatalog.api.TestHCatClient.testPartitionSpecRegistrationWithCustomSchema
(batchId=178)
org.apache.hive.hcatalog.api.TestHCatClient.testTableSchemaPropagation
(batchId=178)
{noformat}
Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/5772/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/5772/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-5772/
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: 12874485 - PreCommit-HIVE-Build
> Parquet schema evolution for partitioned tables may break if table and
> partition serdes differ
> ----------------------------------------------------------------------------------------------
>
> Key: HIVE-16559
> URL: https://issues.apache.org/jira/browse/HIVE-16559
> Project: Hive
> Issue Type: Bug
> Components: Serializers/Deserializers
> Reporter: Barna Zsombor Klara
> Assignee: Barna Zsombor Klara
> Fix For: 3.0.0
>
> Attachments: HIVE-16559.01.patch, HIVE-16559.02.patch,
> HIVE-16559.03.patch, HIVE-16559.04.patch, HIVE-16559.05.patch,
> HIVE-16559.06.patch
>
>
> Parquet schema evolution should make it possible to have partitions/tables
> backed by files with different schemas. Hive should match the table columns
> with file columns based on the column name if possible.
> However if the serde for a table is missing columns from the serde of a
> partition Hive fails to match the columns together.
> Steps to reproduce:
> {code}
> CREATE TABLE myparquettable_parted
> (
> name string,
> favnumber int,
> favcolor string,
> age int,
> favpet string
> )
> PARTITIONED BY (day string)
> STORED AS PARQUET;
> INSERT OVERWRITE TABLE myparquettable_parted
> PARTITION(day='2017-04-04')
> SELECT
> 'mary' as name,
> 5 AS favnumber,
> 'blue' AS favcolor,
> 35 AS age,
> 'dog' AS favpet;
> alter table myparquettable_parted
> REPLACE COLUMNS
> (
> favnumber int,
> age int
> ); <!--- No cascade option, so the partition will not be altered.
> {code}
> {{SELECT * FROM myparquettable_parted where day='2017-04-04';}}
> will fail with:
> {{java.lang.UnsupportedOperationException: Cannot inspect
> org.apache.hadoop.io.IntWritable}}
> Hive should either match the columns together or prevent the user from
> dropping columns from the table.
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