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I want to be able to update a table of the same schema using a "replace into" statement. In the end, I need to be able to update a large table with values that may have changed.

Here is the query I am using to start off:

REPLACE INTO table_name
(visual, inspection_status, inspector_name, gelpak_name, gelpak_location),
VALUES (3, 'Partially Inspected', 'Me', 'GP1234', 'A01');

What I don't understand is how does the database engine know what is a duplicate row and what isn't? This data is extremely important and I can't risk the data being corrupted. Is it as simple as "if all columns listed have the same value, it is a duplicate row"?

I am just trying to figure out an efficient way of doing this so I can update > 45,000 rows in under a minute.

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1 Answer

As the documentation says:

REPLACE works exactly like INSERT, except that if an old row in the table has the same value as a new row for a PRIMARY KEY or a UNIQUE index, the old row is deleted before the new row is inserted.


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