Insert update on duplicate

Using the row alias new , the statement shown previously using VALUES to access the new column values can be written in the form shown here:. If, in addition, you use the column aliases m , n , and p , you can omit the row alias in the assignment clause and write the same statement like this:. When using column aliases in this fashion, you must still use a row alias following the VALUES clause, even if you do not make direct use of it in the assignment clause.

You can also use row and column aliases with a SET clause, as mentioned previously. The row alias must not be the same as the name of the table. Column aliases must be unique with regard to the row alias to which they apply that is, no column aliases referring to columns of the same row may be the same. You can also use row and column aliases with a SET clause, as mentioned previously. The row alias must not be the same as the name of the table.

Column aliases must be unique with regard to the row alias to which they apply that is, no column aliases referring to columns of the same row may be the same. References to columns from queries on a single table, which may be a derived table.

One side effect is that you must qualify references to nonunique column names. To work around this restriction, rewrite the UNION as a derived table so that its rows can be treated as a single-table result set.

For example, this statement produces an error:. Such statements produce a warning in the error log when using statement-based mode and are written to the binary log using the row-based format when using MIXED mode. Bug , Bug See also Section Data Definition Statements. Atomic Data Definition Statement Support. LIKE Statement. Silent Column Specification Changes. Secondary Indexes and Generated Columns. Data Manipulation Statements. Parenthesized Query Expressions. Python Design Patterns.

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