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Editorial Team
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Editorial Team
Asked: May 13, 20262026-05-13T07:53:01+00:00 2026-05-13T07:53:01+00:00

I have SQLite3 database, which is populated with some large set of data. I

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I have SQLite3 database, which is populated with some large set of data.
I use migration for that.

3 tables will have following count of records:
Table_1 will have about 10 records
each record of Table_1 will be associated with ~100 records in Table_2
each record of Table_2 will be associated with ~2000 records in Table_3

The count of records will be about 10*100*2000 = 2000000

This takes a long time… Event, if i populate my database with about 20000 records, it takes about 10 minutes.

Also, i have noticed, that, during migration execution, ruby interpreter takes just 5% from CPU time and 95% remains unused …

What the reason of such pure performance ?

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  1. Editorial Team
    Editorial Team
    2026-05-13T07:53:02+00:00Added an answer on May 13, 2026 at 7:53 am

    Quite simply, inserting large amounts of records through manually saving AR objects one at a time is going to take years.

    The best compromise between speed and “cleanness” (i.e. not a complete dodgy hack) for inserting large amounts of data is ar-extensions’s (http://github.com/zdennis/ar-extensions) import method. It’s not ideal, but it’s better than any of the alternatives I could find, and the syntax is clean and doesn’t require you to drop to raw sql (or anywhere close).

    Example syntax:

    items = Array.new
    1.upto(200) do |n|
      items << Item.new :some_field => n
    end
    Item.import items, :validate => false
    

    At least in mysql this will batch the records into a single INSERT statement with multiple sets of values. Pretty damn fast.

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