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Editorial Team
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Editorial Team
Asked: May 12, 20262026-05-12T12:28:25+00:00 2026-05-12T12:28:25+00:00

We have this PHP application which selects a row from the database, works on

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We have this PHP application which selects a row from the database, works on it (calls an external API which uses a webservice), and then inserts a new register based on the work done. There’s an AJAX display which informs the user of how many registers have been processed.

The data is mostly text, so it’s rather heavy data.

The process is made by thousands of registers a time. The user can choose how many registers to start working on. The data is obtained from one table, where they are marked as “done”. No “WHERE” condition, except the optional “WHERE date BETWEEN date1 AND date2”.

We had an argument over which approach is better:

  • Select one register, work on it, and insert the new data
  • Select all of the registers, work with them in memory and insert them in the database after all the work was done.

Which approach do you consider the most efficient one for a web environment with PHP and PostgreSQL? Why?

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  1. Editorial Team
    Editorial Team
    2026-05-12T12:28:25+00:00Added an answer on May 12, 2026 at 12:28 pm

    It really depends how much you care about your data (seriously):

    Does reliability matter in this case? If the process dies, can you just re-process everything? Or can’t you?

    Typically when calling a remote web service, you don’t want to be calling it twice for the same data item. Perhaps there are side effects (like credit card charges), or maybe it is not a free API…

    Anyway, if you don’t care about potential duplicate processing, then take the batch approach. It’s easy, it’s simple, and fast.

    But if you do care about duplicate processing, then do this:

    1. SELECT 1 record from the table FOR UPDATE (ie. lock it in a transaction)
    2. UPDATE that record with a status of “Processing”
    3. Commit that transaction

    And then

    1. Process the record
    2. Update the record contents, AND
    3. SET the status to “Complete”, or “Error” in case of errors.

    You can run this code concurrently without fear of it running over itself. You will be able to have confidence that the same record will not be processed twice.

    You will also be able to see any records that “didn’t make it”, because their status will be “Processing”, and any errors.

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