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You can identify the groups using aggregation logic: SELECT Group FROM ExampleTable GROUP BY Group HAVING (count(distinct LastName) > 1 or count(distinct FirstName) > 1)) AND MAX(eligible) = 'True'; Note: This assumes eligible is a string. The logic on eligible could be implemented in other ways, depending on the type and database.
To prevent this, in a query with GROUP BY or aggregates (known as "a grouped query"), any column referenced by an expression in the SELECT list or HAVING condition and belonging to one table of the FROM clause, should be one of the group columns (enforced by only_full_group_by in MySQL 5.6 and older) or, if functional dependencies are supported ...
23 sty 2018 · SELECT p.*, GROUP_CONCAT(IF(i.is_active="YES", i.name, '') SEPARATOR '') as item_name FROM persons p LEFT JOIN items i ON p.id = i.person_id GROUP BY p.id ORDER BY p.id DESC Explanation: Since we have only one active item (is_active = "YES") per person, the line GROUP_CONCAT(IF(i.is_active="YES", i.name, '') SEPARATOR '') as item_name and the ...
11 lip 2024 · SELECT CASE WHEN 1 > 0 THEN 'true' ELSE 'false' END: The CASE expression checks the condition 1 > 0. Since 1 > 0 is true, the CASE expression returns 'true'. The IF function: IF(..., 'true', 'false'): The first argument is the result of the subquery ('true' in this case).
For example, the following query returns name values that occur only once in table orders: SELECT name, COUNT(name) FROM orders GROUP BY name HAVING COUNT(name) = 1; The MySQL extension permits the use of an alias in the HAVING clause for the aggregated column:
12 lut 2024 · Check if String Contains Certain Data in MySQL Table Using SELECT With the LOCATE() Function. One effective method to check if a particular string occurs in a MySQL table is by utilizing the SELECT statement along with the LOCATE() function.
Example. Return "YES" if the condition is TRUE, or "NO" if the condition is FALSE:
