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Home/ Questions/Q 8545947
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Editorial Team
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Editorial Team
Asked: June 11, 20262026-06-11T12:54:25+00:00 2026-06-11T12:54:25+00:00

I’m writing a lesson observation system for the school I work at. The database

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I’m writing a lesson observation system for the school I work at.

The database structure looks like this:

Database structure

I’m currently developing the input form for the Observations table and quite a few of its fields require tick-boxes. For example, the Focus field can be any number of twelve options; the Positive and Negative field can each be any number of nearly twenty options.

In the image above, I’ve used VARCHAR to allow for a serialize‘d array.

However, I’m starting to wonder if this is the best route to go down, especially considering I may want to do some semi-complex analysis of the data such as top 5 staff for a specific positive attribute such as behaviour (which would involve counting the number of behaviour attributes each member of staff had under the Positive field in the Observations table).

Two questions here;

  • Should I be using extra tables? For Focus I would imagine the first table to have three fields – ID (key and auto-increment), Observation_ID and Focus_ID. The Focus_ID would correlate with another table called focii or something which would simply have two fields – Focus_ID and Title. I would need two tables for Focus and three tables for Positive/Development (same options but different logging).
  • If I use these extra database tables, what would my SQL statement look like when trying to retrieve the information from the Observations table including all associated focuses, positives and developments?

Thanks in advance,

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  1. Editorial Team
    Editorial Team
    2026-06-11T12:54:26+00:00Added an answer on June 11, 2026 at 12:54 pm

    Yes, you should always normalise in this kind of situations. Storing serialised data is hellish if you wanna do calculations or even modifications. (How are you gonna remove the 3rd element?)

    Example of a query:

    SELECT 
        o.id, 
        COUNT(f.id) AS number_of_focusses 
    FROM 
        observations o 
    INNER JOIN focuses f 
        ON f.observation_id = o.id 
    GROUP BY id
    

    This would give you the number of ‘focus records’ belonging to each observation.

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