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Home/ Questions/Q 8345757
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Editorial Team
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Editorial Team
Asked: June 9, 20262026-06-09T06:47:07+00:00 2026-06-09T06:47:07+00:00

I have a rails application that talks to Oracle. In average, I have a

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I have a rails application that talks to Oracle.
In average, I have a request that has the following completion times: (extracted from rails production.log)

Completed 200 OK in 85ms (Views: 8.4ms | ActiveRecord: 17.1ms)

Basically, I have a Speed table with:

  • gps_id
  • speed
  • timestamp

=> it stores the speed of a given gps device at a given timestamp.

My ActiveRecord request is something like:

from = DateTime.strptime(params[:from], "%Y-%m-%dT%H:%M:%S%Z") 
to = DateTime.strptime(params[:to], "%Y-%m-%dT%H:%M:%S%Z") 
@speeds = Speed.where('gps_id = ? and timestamp >= ? and timestamp <= ?', gps.id, from, to).order('id desc')

=> it retrieves all the speed information between 2 timestamps

As the requests was really slow, I have added 2 indexes on the Speed table:

  • one index on the gps_id column
  • one index on the timestamp column

I guess this is the first basic approach, but how can this be optimized ?

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  1. Editorial Team
    Editorial Team
    2026-06-09T06:47:10+00:00Added an answer on June 9, 2026 at 6:47 am

    You can add a multi-column index on gps_id and timestamp. That may improve things. But if you are inserting data more often than you query it, it may have negative consequences elsewhere.

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