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From "Sid Wagle" <swa...@hortonworks.com>
Subject Re: Review Request 37161: Cluster creates fail on larger deployments with SQL Azure DB
Date Thu, 06 Aug 2015 05:00:06 GMT

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This is an automatically generated e-mail. To reply, visit:
https://reviews.apache.org/r/37161/#review94351
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Ship it!


Ship It!

- Sid Wagle


On Aug. 6, 2015, 4:27 a.m., Jonathan Hurley wrote:
> 
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> This is an automatically generated e-mail. To reply, visit:
> https://reviews.apache.org/r/37161/
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> 
> (Updated Aug. 6, 2015, 4:27 a.m.)
> 
> 
> Review request for Ambari, Myroslav Papirkovskyy, Sumit Mohanty, and Sid Wagle.
> 
> 
> Bugs: AMBARI-12657
>     https://issues.apache.org/jira/browse/AMBARI-12657
> 
> 
> Repository: ambari
> 
> 
> Description
> -------
> 
> We started doing larger cluster creates (48 workernodes) with SQL Azure DB as an Ambari
DB, and we are seeing below HTTP GET requests timeout on the client side (even after retries),
resulting in cluster create failures (15%). This is a tracking Jira to resolve the CRUD failures.
> 
> What I’m seeing is that DB CPU usage goes above 50% in some of my experiments for 48
node clusters. This might explain why SQL is running slow.
> 
> Basically, it’s this one query which consumes most of the CPU. Query plan is also attached.
> ```
> SELECT DISTINCT t0.request_id FROM host_role_command t0 WHERE NOT EXISTS (SELECT @P0
FROM host_role_command t1 WHERE (t1.status IN (@P1,@P2,@P3,@P4,@P5,@P6,@P7,@P8,@P9)))  ORDER
BY t0.request_id ASC
> ```
> 
> There's no need to do a JOIN on the same table here; we can eliminate the inner SELECT
and use a `NOT IN` clause.
> 
> 
> Diffs
> -----
> 
>   ambari-server/src/main/java/org/apache/ambari/server/orm/dao/HostRoleCommandDAO.java
a72e1fe 
> 
> Diff: https://reviews.apache.org/r/37161/diff/
> 
> 
> Testing
> -------
> 
> mvn clean test
> 
> Tests run: 3112, Failures: 0, Errors: 0, Skipped: 23
> 
> [INFO] ------------------------------------------------------------------------
> [INFO] BUILD SUCCESS
> [INFO] ------------------------------------------------------------------------
> [INFO] Total time: 01:02 h
> [INFO] Finished at: 2015-08-05T21:21:52-04:00
> [INFO] Final Memory: 29M/847M
> 
> Verified the new SQL works on all databases.
> 
> 
> Thanks,
> 
> Jonathan Hurley
> 
>


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