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I have a table with more than 10 million rows and 10 fields(columns). There is an index on field_1 and I am running the following query.

create table t2 
select field_1,
       sum(ifnull(field_2,0)) as field_2, 
       sum(ifnull(field_3,0)) as field_3,
       sum(ifnull(field_4,0)) as field_4 
from t1 
group by field1;

The data type of all the columns is varchar(200).

This query is not able to produce the result even after running for more than 1 day. Any suggestions on getting the results quickly will be helpful.

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closed as too localized by ypercubeᵀᴹ, RolandoMySQLDBA, StanleyJohns, dezso, Mark Storey-Smith Jun 15 '13 at 2:07

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Do you really name your tables and columns like this (field_1, table2, ...)? – ypercubeᵀᴹ Apr 14 '13 at 16:25
Which columns are varchar(200)? The source columns or the target columns? GROUP BY on 10 million rows will probably take a while. – Mike Sherrill 'Cat Recall' Apr 14 '13 at 17:04
Not to mention the conversions of 3x10M values from varchar to numbers so the SUMs are performed. – ypercubeᵀᴹ Jun 13 '13 at 20:30

Here's what I'd do:

  1. Use EXPLAIN on your SELECT to reveal which indexes it's using.
  2. Tune your query and repeat step 1 until satisfied.
  3. Create your new table with the desired structure.
  4. Use INSERT ... INTO new table SELECT FROM ... old table replacing the select part with the SELECT query you tuned in step 2.
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