CODEWITHSUNDEEP
mysql
HMdeveloper
HMdeveloper

Reputation: 2884

How to improve the speed of this query execution

I have the following query:

SELECT SUM(sureness) FROM tweet WHERE ID in
(select DataitemID from entity_dataitem_relation  where EpochID IN 
(SELECT ID FROM epoch WHERE StartDateTime>='2013-11-01' AND EndDateTime<='2013-11-31')AND
    DataitemType=3) ;

And I indexed DataitemID in entity_dataitem_relation table to increase the speed. I even indexed EpochID to help increasing speed but still this query is very slow and it takes 2 min to be executed(it is noteworthy that I entered in a project in the middle of that so I have to continue with what others did so I dont have much flexibility in terms of design)

NB: the following part is very fast:

SELECT DataitemID from entity_dataitem_relation  where EpochID IN 
(SELECT ID FROM epoch WHERE StartDateTime>='2013-11-01' AND EndDateTime<='2013-11-31');

Another thing : even when I replace sureness with ID which is prinmary key of the table it still takes that much time what should I do ? Is there anything that I can do to improve speed?

Upvotes: 0

Views: 303

Answers (1)

Marcus Adams
Marcus Adams

Reputation: 53830

To try to reduce table scanning, you can rewrite this query using JOINS:

SELECT SUM(t.sureness)
FROM tweet t
JOIN entity_dataitem_relation edr
  ON edr.DataitemID = t.ID
    AND edr.DataitemType = 3
JOIN epoch e
  ON e.ID = edr.EpochID
    AND e.StartDateTime >= '2013-11-01'
    AND e.EndDateTime <= '2013-11-31'

Add the following covering indexes:

tweet(ID, sureness)
entity_dataitem_relation(DataitemID, DataitemType, EpochID)
epoch(ID, StartDateTime, EndDateTime)

MySQL will probably still scan through all the rows in the index on tweet, so the more records you have in the tweet table, the slower this will be.

Upvotes: 2

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