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Home/ Questions/Q 4121610
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Editorial Team
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Editorial Team
Asked: May 20, 20262026-05-20T23:22:25+00:00 2026-05-20T23:22:25+00:00

I’m writing some SQL queries with several subqueries and lots of joins everywhere, both

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I’m writing some SQL queries with several subqueries and lots of joins everywhere, both inside the subquery and the resulting table from the subquery.

We’re not using views so that’s out of the question.

After writing it I’m looking at it and scratching my head wondering what it’s even doing cause I can’t follow it.

What kind of formatting do you use to make an attempt to clean up such a mess? Indents perhaps?

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-05-20T23:22:26+00:00Added an answer on May 20, 2026 at 11:22 pm

    With large queries I tend to rely a lot on named result sets using WITH. This allows to define the result set beforehand and it makes the main query simpler. Named results sets may help to make the query plan more efficient as well e.g. postgres stores the result set in a temporary table.

    Example:

    WITH 
      cubed_data AS (
         SELECT 
            dimension1_id,
            dimension2_id,
            dimension3_id,
            measure_id,
            SUM(value) value
         FROM
            source_data
         GROUP BY
            CUBE(dimension1, dimension2, dimension3),
            measure
      ), 
      dimension1_label AS(
         SELECT 
            dimension1_id,
            dimension1_label
         FROM 
            labels 
         WHERE 
            object = 'dimension1'
      ), ...
    SELECT 
      *
    FROM  
      cubed_data
      JOIN dimension1_label USING (dimension1_id)
      JOIN dimension2_label USING (dimension2_id)
      JOIN dimension3_label USING (dimension3_id)
      JOIN measure_label USING (measure_id)
    

    The example is a bit contrived but I hope it shows the increase in clarity compared to inline subqueries. Named result sets have been a great help for me when I’ve been preparing data for OLAP use. Named results sets are also must if you have/want to create recursive queries.

    WITH works at least on current versions of Postgres, Oracle and SQL Server

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