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https://issues.apache.org/jira/browse/HIVE-16973?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16089221#comment-16089221
]
Hive QA commented on HIVE-16973:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12877502/HIVE-16973.006-master.patch
{color:green}SUCCESS:{color} +1 due to 4 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 12 failed/errored test(s), 11068 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestMiniLlapCliDriver.testCliDriver[llap_smb]
(batchId=143)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_dynamic_partition_pruning]
(batchId=167)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_dynamic_partition_pruning_2]
(batchId=169)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_explainuser_1]
(batchId=168)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_use_op_stats]
(batchId=167)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_use_ts_stats_for_mapjoin]
(batchId=168)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_vectorized_dynamic_partition_pruning]
(batchId=167)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query14]
(batchId=233)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query23]
(batchId=233)
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/6055/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/6055/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-6055/
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: 12 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12877502 - PreCommit-HIVE-Build
> Fetching of Delegation tokens (Kerberos) for AccumuloStorageHandler fails in
> HS2
> --------------------------------------------------------------------------------
>
> Key: HIVE-16973
> URL: https://issues.apache.org/jira/browse/HIVE-16973
> Project: Hive
> Issue Type: Bug
> Components: Accumulo Storage Handler
> Reporter: Josh Elser
> Assignee: Josh Elser
> Attachments: HIVE-16973.001.patch, HIVE-16973.002.branch-2.patch,
> HIVE-16973.003.branch-2.patch, HIVE-16973.004-branch-2.patch,
> HIVE-16973.004.branch-2.patch, HIVE-16973.004-master.patch,
> HIVE-16973.005-master.patch, HIVE-16973.006-master.patch
>
>
> Had a report from a user that Kerberos+AccumuloStorageHandler+HS2 was broken.
> Looking into it, it seems like the bit-rot got pretty bad. You'll see
> something like the following:
> {noformat}
> Caused by: java.io.IOException: Failed to unwrap AuthenticationToken
> at
> org.apache.hadoop.hive.accumulo.HiveAccumuloHelper.unwrapAuthenticationToken(HiveAccumuloHelper.java:312)
>
> at
> org.apache.hadoop.hive.accumulo.mr.HiveAccumuloTableInputFormat.getSplits(HiveAccumuloTableInputFormat.java:122)
>
> {noformat}
> It appears that some of the code-paths changed since when I first did my
> testing (or I just did poor testing) and the delegation token was never being
> fetched/serialized. There also are some issues with fetching the delegation
> token from Accumulo properly which were addressed in ACCUMULO-4665
> I believe it would also be best to just update the dependency to use Accumulo
> 1.7 (drop 1.6 support) as it's lacking in this regard. These changes would
> otherwise get much more complicated with reflection -- Accumulo has moved on
> past 1.6, so let's do the same in Hive.
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