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13 kwi 2022 · 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.
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. See Section 15.2.7, “INSERT Statement”. REPLACE is a MySQL extension to the SQL standard.
The MySQL REPLACE statement works as follows: Step 1. Insert a new row into the table, if a duplicate key error occurs. Step 2. If the insertion fails due to a duplicate-key error occurs: Delete the conflicting row that causes the duplicate key error from the table. Insert the new row into the table again.
The REPLACE() function replaces all occurrences of a substring within a string, with a new substring. Note: This function performs a case-sensitive replacement. Syntax
The REPLACE statement returns a count to indicate the number of rows affected. This is the sum of the rows deleted and inserted. If the count is 1 for a single-row REPLACE, a row was inserted and no rows were deleted. If the count is greater than 1, one or more old rows were deleted before the new row was inserted.
7 mar 2024 · MySQL REPLACE Statement. The REPLACE command works similar to INSERT, the only difference being for the matching row, the data for the existing row is replaced and if there’s no existing row (as compared against primary/unique keys) a new row is inserted. Syntax: REPLACE INTO {table_name} [colName1, colName2 ...] VALUES (value_list)
Syntax. Following is the syntax of the MySQL REPLACE statement −. REPLACE INTO table_name (column1, column2, column3,...columnN) VALUES (value1, value2, value3,...valueN);
