Retrieving Historic Locations Using MAX Date within a Join Statement
When fetching historical locations for a specific record ID, a user encountered performance issues and duplicate entries in the results. The user attempted to address this by joining multiple tables and filtering by the received_id, but the expected output was not achieved.
To resolve this, it is recommended to modify the query as follows:
SELECT t1.received_id , t1.transaction_id , t1.date_modified , l.location FROM transactions t1 JOIN ( SELECT received_id, MAX(date_modified) maxmodify FROM transactions GROUP BY received_id) max_record ON max_record.received_id = t1.received_id AND max_record.maxmodify = t1.date_modified JOIN locations l ON l.location_id = t1.location_id JOIN received r ON r.received_id = t1.received_id WHERE t1.received_id = '1782' ORDER BY t1.date_modified DESC
The key change involves joining the transactions table twice: Once for the main query and once within a subquery to find the maximum date_modified value for each received_id. This subquery is then used to filter the main query and return only the rows with the latest date_modified values.
The core of this technique is encapsulated in the following general pattern:
SELECT x.* FROM my_table x JOIN (SELECT id,MAX(thing) max_thing FROM my_table GROUP BY id) y ON y.id = x.id AND y.max_thing = x.thing;
This approach effectively eliminates duplicate entries and provides the desired result of displaying only the latest modified time for each record ID and location.
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