I have two tables. I want to join them in a way that only one record in the right table is returned for each record in the left most table. I've included an example below. I'd like to avoid subqueries and temporary tables as the actual data is about 4M rows. I also don't care which record in the rightmost table is matched, as long as one or none is matched. Thanks!
table users:
------------- | id | name | ------------- | 1 | mike | | 2 | john | | 3 | bill | -------------
table transactions:
--------------- | uid | spent | --------------- | 1 | 5.00 | | 1 | 5.00 | | 2 | 5.00 | | 3 | 5.00 | | 3 | 10.00 | ---------------
expected output:
--------------------- | id | name | spent | --------------------- | 1 | mike | 5.00 | | 2 | john | 5.00 | | 3 | bill | 5.00 | ---------------------
Introduction to SQL Server LEFT JOIN clause The LEFT JOIN clause allows you to query data from multiple tables. The LEFT JOIN returns all rows from the left table and the matching rows from the right table.
The SQL LEFT JOIN returns all rows from the left table, even if there are no matches in the right table. This means that if the ON clause matches 0 (zero) records in the right table; the join will still return a row in the result, but with NULL in each column from the right table.
To return only the first row that matches your SELECT query, you need to add the LIMIT clause to your SELECT statement. The LIMIT clause is used to control the number of rows returned by your query. When you add LIMIT 1 to the SELECT statement, then only one row will be returned.
Introduction to SQL LEFT JOIN clause In the previous tutorial, you learned about the inner join that returns rows if there is, at least, one row in both tables that matches the join condition. The inner join clause eliminates the rows that do not match with a row of the other table.
Use:
SELECT u.id, u.name, MIN(t.spent) AS spent FROM USERS u JOIN TRANSACTIONS t ON t.uid = u.id GROUP BY u.id, u.name
Mind that this will only return users who have at least one TRANSACTIONS record. If you want to see users who don't have supporting records as well as those who do - use:
SELECT u.id, u.name, COALESCE(MIN(t.spent), 0) AS spent FROM USERS u LEFT JOIN TRANSACTIONS t ON t.uid = u.id GROUP BY u.id, u.name
If you do not care about the particular row that you get back.
select id, name, spent from users left join transactions on users.id = transactions.uid group by id
This will return one row per user. It will be the first matched transaction.
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