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Posted to commits@cassandra.apache.org by "Murukesh Mohanan (JIRA)" <ji...@apache.org> on 2017/10/05 02:37:00 UTC

[jira] [Updated] (CASSANDRA-13000) slow query log analysis tool

     [ https://issues.apache.org/jira/browse/CASSANDRA-13000?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Murukesh Mohanan updated CASSANDRA-13000:
-----------------------------------------
    Attachment: 0001-Adds-a-cqldumpslow-tool-which-analyses-the-debug-log.patch

Updated the patch to remove some JSON parsing code  - I'd originally included that to work in tandem with my initial misguided patch for CASSANDRA-13001. It doesn't make any sense to keep it there. (Also fixed from some code indentation complaints from flake8.)

> slow query log analysis tool
> ----------------------------
>
>                 Key: CASSANDRA-13000
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-13000
>             Project: Cassandra
>          Issue Type: New Feature
>          Components: Observability
>            Reporter: Jon Haddad
>            Assignee: Murukesh Mohanan
>             Fix For: 4.0
>
>         Attachments: 0001-Adds-a-cqldumpslow-tool-which-analyses-the-debug-log.patch, 0001-Adds-a-cqldumpslow-tool-which-analyses-the-debug-log.patch, csqldumpslow.py
>
>
> As a follow up to CASSANDRA-12403, it would be very helpful to have a tool to process the slow queries that are logged.  In the MySQL world, there's a tool called mysqldumpslow, which processes a slow query log, abstracts the parameters to prepared statements, and shows the queries which are causing problems based on frequency.  The {{mysqldumpslow}} utillity shows an aggregated count & time statistics spent on slow queries.  For instance:
> {code}shell> mysqldumpslow
> Reading mysql slow query log from /usr/local/mysql/data/mysqld51-apple-slow.log
> Count: 1  Time=4.32s (4s)  Lock=0.00s (0s)  Rows=0.0 (0), root[root]@localhost
>  insert into t2 select * from t1
> Count: 3  Time=2.53s (7s)  Lock=0.00s (0s)  Rows=0.0 (0), root[root]@localhost
>  insert into t2 select * from t1 limit N
> Count: 3  Time=2.13s (6s)  Lock=0.00s (0s)  Rows=0.0 (0), root[root]@localhost
>  insert into t1 select * from t1{code}



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