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SELECT * FROM `Y` INNER JOIN `X` ON (`Y`.`QID` IS NOT NULL AND `X`.`QID` IS NOT NULL); This gives you every non-null row in Y joined to every non-null row in X. Update: Rico says he also wants the rows with NULL values, why not just: SELECT * FROM `Y` INNER JOIN `X`;
13 sie 2021 · By default SQL Server sets the column value to allow NULL values when creating new tables, unless other options are set. This is not necessarily a bad thing, but dealing with NULL values especially when joining tables can become a challenge. Let's take a look at this issue and how this can be resolved.
24 mar 2010 · The row containing the NULL values did not get picked up by our join. We should have all three rows in the result set. The join statement does not deal with NULL values well when joining. So we can use ISNULL to replace the NULL values with something else.
26 mar 2019 · Since it's not possible to join on NULL values in SQL Server like you might expect, we need to be creative to achieve the results we want. One option is to make our AccountType column NOT NULL and set some other default value.
15 mar 2022 · select s.id as sales_id, s.sales_date, s.total_amount, s.customer_id, b.name as branch_name, b.branch_number, b.location from sales s join branch b on (s.branch_number = b.branch_number OR (s.branch_number is null and b.branch_number is null));
10 maj 2024 · Handling NULL values in SQL joins requires a solid understanding of how different types of joins treat NULL values and the use of appropriate techniques to ensure accurate query results. By employing COALESCE, IS NULL, and selective joins, you can effectively deal with NULL values and create robust queries that produce the desired outcomes.
Understanding the behavior of NULL values in JOIN operations is crucial for anyone working with SQL databases. Being aware of how each JOIN type handles NULLs can save you from unexpected outcomes and help you write more efficient queries.
