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Grouping allows you to add aggregated data, like the min(id), max(id), count(*), etc: Using a subquery, you can first identify the duplicate rows to ignore, and then filter them out in the outer query with the WHERE NOT IN (subquery) construct: SELECT distinct d2.id. FROM dupes d1. INNER JOIN dupes d2 ON d2.word=d1.word AND d2.num=d1.num.
SELECT key, (array_agg(value))[1] AS value FROM tableX GROUP BY key ; You can optionally order values inside array to select biggest or smallest of them: SELECT key, (array_agg(value) ORDER BY value DESC)[1] AS value FROM tableX GROUP BY key ; (checked on PostgreSQL)
The SQL SELECT DISTINCT Statement. The SELECT DISTINCT statement is used to return only distinct (different) values.
23 lut 2023 · Sometimes we only want to see a distinct (or unique) set of those duplicate values. This is where SELECT DISTINCT can be used. As its name implies, the DISTINCT keyword is commonly used in a SQL SELECT statement to return a distinct set of values.
2 lut 2023 · We can use SQL SELECT Distinct to find unique references of data. For example, we have a result set that shows different rows of a table and each row consists of columns. Now sometimes we are more interested in unique patterns of the data rather than the data itself which is one of the key things in investigative analysis.
24 wrz 2023 · If you’re not familiar already, SELECT DISTINCT is a handy tool in our SQL arsenal that helps to return unique values within a database column. Here’s how we can use it in its simplest form: SELECT DISTINCT column_name FROM table_name;
This tutorial shows you how to use the SQL Server SELECT DISTINCT clause to retrieve the only distinct values in a specified list of columns.
