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Home/ Questions/Q 7416161
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Editorial Team
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Editorial Team
Asked: May 29, 20262026-05-29T07:26:16+00:00 2026-05-29T07:26:16+00:00

I’m building an app for Heroku (Postgres) but for various reasons, developing it locally

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I’m building an app for Heroku (Postgres) but for various reasons, developing it locally using MySQL. I’ve hit a roadblock concerning something that my MySQL dev environment takes with no trouble but that the heroku Postgres environment hangs up on. Here is the log stream from Heroku:

2012-02-07T10:00:00+00:00 app[web.1]: Report Load (2.5ms)  SELECT id, datetime_utc FROM "reports" WHERE (datetime_utc = '2012-02-07 10:00:00.000000') AND (datetime_utc > spot_sunrise_utc AND datetime_utc > spot_sunset_utc) ORDER BY datetime_utc ASC LIMIT 500
2012-02-07T10:00:00+00:00 app[web.1]: PGError: ERROR:  operator does not exist: timestamp without time zone > time without time zone
2012-02-07T10:00:00+00:00 app[web.1]: LINE 1: ...EEN 0.4573170731707317 and 200) AND (datetime_utc > spot_sun...
2012-02-07T10:00:00+00:00 app[web.1]:                                                              ^
2012-02-07T10:00:00+00:00 app[web.1]: HINT:  No operator matches the given name and argument type(s). You might need to add explicit type casts.

The datetime_utc field is a real datetime whereas the spot_sunrise/sunset_utc fields are just time values.

What is causing this, and how do I work around it?

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  1. Editorial Team
    Editorial Team
    2026-05-29T07:26:20+00:00Added an answer on May 29, 2026 at 7:26 am

    To alleviate the type incompatibility, cast the timestamp value datetime_utc to time:

    SELECT id, datetime_utc
    FROM   reports
    WHERE  datetime_utc = '2012-02-07 10:00'
    AND    datetime_utc::time > spot_sunrise_utc 
    AND    datetime_utc::time < spot_sunset_utc  -- you mean <, right?
    ORDER  BY datetime_utc  -- noise
    LIMIT  500;
    

    See:

    • Postgres data type cast

    The added ORDER BY datetime_utc is just noise after filtering with WHERE datetime_utc = '2012-02-07 10:00'.

    Aside 1: It is generally a good idea to develop with the same DB locally as you deploy with. So it is a bad idea to use MySQL locally.

    Aside 2: The name of the database is PostgreSQL or Postgres for short. No such thing as "postgre".

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