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From "Hive QA (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (HIVE-17300) WebUI query plan graphs
Date Wed, 16 Aug 2017 16:08:00 GMT

    [ https://issues.apache.org/jira/browse/HIVE-17300?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16129003#comment-16129003
] 

Hive QA commented on HIVE-17300:
--------------------------------



Here are the results of testing the latest attachment:
https://issues.apache.org/jira/secure/attachment/12882138/HIVE-17300.3.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), 10976 tests executed
*Failed tests:*
{noformat}
org.apache.hadoop.hive.cli.TestBlobstoreCliDriver.testCliDriver[ptf_matchpath] (batchId=243)
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.TestMiniTezCliDriver.testCliDriver[explainanalyze_2] (batchId=100)
org.apache.hadoop.hive.cli.TestPerfCliDriver.testCliDriver[query14] (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/6423/testReport
Console output: https://builds.apache.org/job/PreCommit-HIVE-Build/6423/console
Test logs: http://104.198.109.242/logs/PreCommit-HIVE-Build-6423/

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: 12882138 - 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-17300.3.patch, 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
> Review request: https://reviews.apache.org/r/61663/
> Any input is welcome!



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