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How to Efficiently Join Four SQL Tables with Shared IDs?

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Release: 2025-01-14 10:11:46
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How to Efficiently Join Four SQL Tables with Shared IDs?

Join multiple SQL tables using ID

In database management, joining tables is a key operation in retrieving and correlating data from multiple data sources. When working with interrelated data sets, tables need to be merged based on common identifiers.

Consider the following scenario:

You have four different tables named TableA, TableB, TableC, and TableD. Their structure is as follows:

<code>TableA - aID | nameA | dID
TableB - bID | nameB | cID | aID
TableC - cID | nameC | date
TableD - dID | nameD</code>
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Starting from TableA, you aim to perform a join with TableB via the shared column "aID". Additionally, you want to connect TableA with TableC using TableB as an intermediary. The following SQL statement achieves this:

<code>SELECT TableA.*, TableB.*, TableC.*
FROM (TableB INNER JOIN TableA ON TableB.aID= TableA.aID)
INNER JOIN TableC ON(TableB.cID= Tablec.cID)
WHERE (DATE(TableC.date)=date(now()))</code>
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However, when trying to incorporate TableD into a query using the 'dID' column, I encounter an error stating that 'TableD' is unknown.

The solution lies in adding another join statement. A corrected version of the query is presented below:

<code>SELECT TableA.*, TableB.*, TableC.*, TableD.*
FROM TableA
    JOIN TableB
        ON TableB.aID = TableA.aID
    JOIN TableC
        ON TableC.cID = TableB.cID
    JOIN TableD
        ON TableD.dID = TableA.dID
WHERE DATE(TableC.date)=date(now())</code>
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In this modified query, TableA is directly connected to TableD via the "dID" column. This approach successfully merges all four tables, allowing you to retrieve data from all tables in a coherent manner.

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