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From "Sylvain Lebresne (JIRA)" <j...@apache.org>
Subject [jira] [Updated] (CASSANDRA-4915) CQL should prevent or warn about inefficient queries
Date Thu, 22 Nov 2012 09:48:59 GMT

     [ https://issues.apache.org/jira/browse/CASSANDRA-4915?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]

Sylvain Lebresne updated CASSANDRA-4915:
----------------------------------------

    Attachment:     (was: 4915.patch)
    
> CQL should prevent or warn about inefficient queries
> ----------------------------------------------------
>
>                 Key: CASSANDRA-4915
>                 URL: https://issues.apache.org/jira/browse/CASSANDRA-4915
>             Project: Cassandra
>          Issue Type: Improvement
>    Affects Versions: 0.8.0
>            Reporter: Edward Capriolo
>            Assignee: Sylvain Lebresne
>             Fix For: 1.2.0 rc1
>
>         Attachments: 0001-4915.txt, 0002-Allow-non-indexed-expr-with-ALLOW-FILTERING.txt
>
>
> When issuing a query like:
> {noformat}
> CREATE TABLE videos (
>   videoid uuid,
>   videoname varchar,
>   username varchar,
>   description varchar,
>   tags varchar,
>   upload_date timestamp,
>   PRIMARY KEY (videoid,videoname)
> );
> SELECT * FROM videos WHERE videoname = 'My funny cat';
> {noformat}
> Cassandra samples some data using get_range_slice and then applies the query.
> This is very confusing to me, because as an end user am not sure if the query is fast
because Cassandra is performing an optimized query (over an index, or using a slicePredicate)
or if cassandra is simple sampling some random rows and returning me some results. 
> My suggestions:
> 1) force people to supply a LIMIT clause on any query that is going to
> page over get_range_slice
> 2) having some type of explain support so I can establish if this
> query will work in the
> I will champion suggestion 1) because CQL has put itself in a rather unique un-sql like
position by applying an automatic limit clause without the user asking for them. I also do
not believe the CQL language should let the user issue queries that will not work as intended
with "larger-then-auto-limit" size data sets.

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