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https://issues.apache.org/jira/browse/HIVE-17300?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16126192#comment-16126192
]
Hive QA commented on HIVE-17300:
--------------------------------
Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12881784/HIVE-17300.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), 11004 tests
executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestBeeLineDriver.testCliDriver[materialized_view_create_rewrite]
(batchId=240)
org.apache.hadoop.hive.cli.TestBlobstoreCliDriver.testCliDriver[insert_overwrite_dynamic_partitions_merge_move]
(batchId=243)
org.apache.hadoop.hive.cli.TestBlobstoreCliDriver.testCliDriver[insert_overwrite_dynamic_partitions_merge_only]
(batchId=243)
org.apache.hadoop.hive.cli.TestBlobstoreCliDriver.testCliDriver[insert_overwrite_dynamic_partitions_move_only]
(batchId=243)
org.apache.hadoop.hive.cli.TestContribCliDriver.testCliDriver[udaf_example_avg]
(batchId=234)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_dynamic_partition_pruning]
(batchId=169)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_dynamic_partition_pruning_mapjoin_only]
(batchId=170)
org.apache.hadoop.hive.cli.TestMiniSparkOnYarnCliDriver.testCliDriver[spark_vectorized_dynamic_partition_pruning]
(batchId=169)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query14]
(batchId=235)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query23]
(batchId=235)
org.apache.hive.hcatalog.api.TestHCatClient.testPartitionRegistrationWithCustomSchema
(batchId=180)
org.apache.hive.hcatalog.api.TestHCatClient.testPartitionSpecRegistrationWithCustomSchema
(batchId=180)
org.apache.hive.hcatalog.api.TestHCatClient.testTableSchemaPropagation
(batchId=180)
{noformat}
Test results: https://builds.apache.org/job/PreCommit-HIVE-Build/6386/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/6386/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-6386/
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: 12881784 - PreCommit-HIVE-Build
> WebUI query plan graphs
> -----------------------
>
> Key: HIVE-17300
> URL: https://issues.apache.org/jira/browse/HIVE-17300
> Project: Hive
> Issue Type: Improvement
> Components: Web UI
> Reporter: Karen Coppage
> Assignee: Karen Coppage
> Attachments: complete_success.png, full_mapred_stats.png,
> graph_with_mapred_stats.png, HIVE-17300.patch, last_stage_error.png,
> last_stage_running.png, non_mapred_task_selected.png
>
>
> Hi all,
> I’m working on a feature of the Hive WebUI Query Plan tab that would provide
> the option to display the query plan as a nice graph (scroll down for
> screenshots). If you click on one of the graph’s stages, the plan for that
> stage appears as text below.
> Stages are color-coded if they have a status (Success, Error, Running), and
> the rest are grayed out. Coloring is based on status already available in the
> WebUI, under the Stages tab.
> There is an additional option to display stats for MapReduce tasks. This
> includes the job’s ID, tracking URL (where the logs are found), and mapper
> and reducer numbers/progress, among other info.
> The library I’m using for the graph is called vis.js (http://visjs.org/). It
> has an Apache license, and the only necessary file to be included from this
> library is about 700 KB.
> I tried to keep server-side changes minimal, and graph generation is taken
> care of by the client. Plans with more than a given number of stages
> (default: 25) won't be displayed in order to preserve resources.
> I’d love to hear any and all input from the community about this feature: do
> you think it’s useful, and is there anything important I’m missing?
> Thanks,
> Karen Coppage
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