As MySQL doesn’t have inherent support for updating more than one rows or records with a single update query as it does for insert query, in a situation which needs us to perform updating to tens of thousands or even millions of records, one update query for each row seems to be too much.
Reducing the number of SQL database queries is the top tip for optimizing SQL applications.
So, is there any other way around with just a few MySQL queries that equals to millions of single row update queries?
Yes, but you need a temporary table.
Step 1: Create a temporary table
This table should have 2 columns: 1) an ID column that references the original record’s primary key in the original table, 2) the column containing the new value to be updated with.
Creating this table, you can use insert queries as it conveniently inserts more than one rows at a time (with a single query) – actually, as many rows as you need, like 1000 a time.
Step 2: Transfer the new values from the temporary table to the intended table
Use the query below:
UPDATE original_table, temp_table SET original_table.update_column = temp_table.update_column WHERE original_table.id = temp_table.original_id
To transfer all the new values you have in the temporary table to the original table. After this, you have successfully updated the original table with much much less than a million queries, probably just a hundred or so.
本文介绍了一种利用临时表优化MySQL更新大量记录的方法,通过减少SQL查询次数来提高应用程序性能。
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