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Home/ Questions/Q 9194251
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Editorial Team
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Editorial Team
Asked: June 17, 20262026-06-17T21:21:58+00:00 2026-06-17T21:21:58+00:00

I have two tables: ab_message user_id title content question and ab_message_rating: id user_id message_id

  • 0

I have two tables:

ab_message

  • user_id
  • title
  • content
  • question

and ab_message_rating:

  • id
  • user_id
  • message_id
  • created_at
  • updated_at

ab_message is in a OneToMany Relation with ab_message_rating. Every Entry in ab_message_rating has 1, 2 or 3 as rating value.

So i want to select in one query the Message an all related Tables Entries. The Key is, that i need in this query rating to be counted BY value.

For Example the Result schuld be:

Message abc has 5 entries of rating 1, 7 entries of rating 2, and 10
entries of rating 3

how to do that in a query? Something like Group By and A Join?

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-17T21:21:59+00:00Added an answer on June 17, 2026 at 9:21 pm
    SELECT ID, Title, Content, 
            MAX(CASE WHEN Rating = 'Rating 1' THEN totalCount ELSE NULL END) 'Rating 1',
            MAX(CASE WHEN Rating = 'Rating 2' THEN totalCount ELSE NULL END) 'Rating 2',
            MAX(CASE WHEN Rating = 'Rating 3' THEN totalCount ELSE NULL END) 'Rating 3'
    FROM    
    (
        SELECT  a.ID, a.Title, a.Content,
                b.Rating, COUNT(*) totalCount
        FROM    Message a
                LEFT JOIN Rating b
                    ON a.ID = b.MessageID
        GROUP BY a.ID, a.Title, a.Content, b.Rating
    ) r
    GROUP BY ID, Title, Content
    

    Sample Result:

    ╔════╦═══════════════╦══════════╦══════════╦══════════╦══════════╗
    ║ ID ║     TITLE     ║ CONTENT  ║ RATING 1 ║ RATING 2 ║ RATING 3 ║
    ╠════╬═══════════════╬══════════╬══════════╬══════════╬══════════╣
    ║  1 ║ Lost Prophets ║ CONTENT1 ║        1 ║        5 ║        7 ║
    ║  2 ║ Cannibal      ║ CONTENT2 ║        3 ║        4 ║        6 ║
    ║  3 ║ Sigbin        ║ CONTENT3 ║        4 ║        4 ║        1 ║
    ╚════╩═══════════════╩══════════╩══════════╩══════════╩══════════╝
    
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