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Editorial Team
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Editorial Team
Asked: May 16, 20262026-05-16T11:07:23+00:00 2026-05-16T11:07:23+00:00

I have a huge file (~26 MB) with around 200 columns & 30000 records.

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I have a huge file (~26 MB) with around 200 columns & 30000 records. I want to import it into a database (InnoDB Engine). I wont’t be updating or deleting records ever. ALthough I will be querying a lot of records from the table with high complexity in where clause. Which table engine should i prefer for faster query response? Will it really make a lot of difference?
PS: All my other tables use InnoDB.

Also How can I avoid manually creating a table with 200 columns and specifying the datatype for each of them. Most of the columns are float and few are varchar and date.

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  1. Editorial Team
    Editorial Team
    2026-05-16T11:07:24+00:00Added an answer on May 16, 2026 at 11:07 am

    Usually the answer to “which is faster, ISAM or innodb” would be ISAM

    But for best performance with a table which has very few updates you might want to have a look at Infobright’s columnar db (which is integrated into mysql).

    However with only 30k rows you’ll not see a significant difference between innodb, isam and infobright.

    OTOH, you really should have a long hard look at whether you really need 200 columns in a single table. I suspect that’s not the case – and the schema is far more important in determining performance than the storage engine.

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