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https://issues.apache.org/jira/browse/HIVE-13873?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15571685#comment-15571685
]
Hive QA commented on HIVE-13873:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12833051/HIVE-13873.3.patch
{color:green}SUCCESS:{color} +1 due to 4 test(s) being added or modified.
{color:red}ERROR:{color} -1 due to 6 failed/errored test(s), 10569 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[constant_prop]
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[reloadJar]
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[struct_in_view]
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[udf_named_struct]
org.apache.hadoop.hive.cli.TestCliDriver.testCliDriver[udf_struct]
org.apache.hive.spark.client.TestSparkClient.testJobSubmission
{noformat}
Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/1526/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/1526/console
Test logs:
http://ec2-204-236-174-241.us-west-1.compute.amazonaws.com/logs/PreCommit-HIVE-Build-1526/
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: 6 tests failed
{noformat}
This message is automatically generated.
ATTACHMENT ID: 12833051 - PreCommit-HIVE-Build
> Column pruning for nested fields
> --------------------------------
>
> Key: HIVE-13873
> URL: https://issues.apache.org/jira/browse/HIVE-13873
> Project: Hive
> Issue Type: New Feature
> Components: Logical Optimizer
> Reporter: Xuefu Zhang
> Assignee: Ferdinand Xu
> Attachments: HIVE-13873.1.patch, HIVE-13873.2.patch,
> HIVE-13873.3.patch, HIVE-13873.patch, HIVE-13873.wip.patch
>
>
> Some columnar file formats such as Parquet store fields in struct type also
> column by column using encoding described in Google Dramel pager. It's very
> common in big data where data are stored in structs while queries only needs
> a subset of the the fields in the structs. However, presently Hive still
> needs to read the whole struct regardless whether all fields are selected.
> Therefore, pruning unwanted sub-fields in struct or nested fields at file
> reading time would be a big performance boost for such scenarios.
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