MySQL 5.7 Reference Manual Including MySQL NDB Cluster 7.5 and NDB Cluster 7.6
        If you specify an ON DUPLICATE KEY UPDATE
        clause and a row to be inserted would cause a duplicate value in
        a UNIQUE index or PRIMARY
        KEY, an UPDATE of the
        old row occurs. For example, if column a is
        declared as UNIQUE and contains the value
        1, the following two statements have similar
        effect:
      
INSERT INTO t1 (a,b,c) VALUES (1,2,3) ON DUPLICATE KEY UPDATE c=c+1; UPDATE t1 SET c=c+1 WHERE a=1;
        The effects are not quite identical: For an
        InnoDB table where a is an
        auto-increment column, the INSERT statement
        increases the auto-increment value but the
        UPDATE does not.
      
        If column b is also unique, the
        INSERT is equivalent to this
        UPDATE statement instead:
      
UPDATE t1 SET c=c+1 WHERE a=1 OR b=2 LIMIT 1;
        If a=1 OR b=2 matches several rows, only
        one row is updated. In general, you should
        try to avoid using an ON DUPLICATE KEY UPDATE
        clause on tables with multiple unique indexes.
      
        With ON DUPLICATE KEY UPDATE, the
        affected-rows value per row is 1 if the row is inserted as a new
        row, 2 if an existing row is updated, and 0 if an existing row
        is set to its current values. If you specify the
        CLIENT_FOUND_ROWS flag to the
        mysql_real_connect() C API
        function when connecting to mysqld, the
        affected-rows value is 1 (not 0) if an existing row is set to
        its current values.
      
        If a table contains an AUTO_INCREMENT column
        and INSERT
        ... ON DUPLICATE KEY UPDATE inserts or updates a row,
        the LAST_INSERT_ID() function
        returns the AUTO_INCREMENT value.
      
        The ON DUPLICATE KEY UPDATE clause can
        contain multiple column assignments, separated by commas.
      
        It is possible to use IGNORE with ON
        DUPLICATE KEY UPDATE in an INSERT
        statement, but this may not behave as you expect when inserting
        multiple rows into a table that has multiple unique keys. This
        becomes apparent when an updated value is itself a duplicate key
        value. Consider the table t, created and
        populated by the statements shown here:
      
mysql>CREATE TABLE t (a SERIAL, b BIGINT NOT NULL, UNIQUE KEY (b));; Query OK, 0 rows affected (0.03 sec) mysql>INSERT INTO t VALUES (1,1), (2,2);Query OK, 2 rows affected (0.01 sec) Records: 2 Duplicates: 0 Warnings: 0 mysql>SELECT * FROM t;+---+---+ | a | b | +---+---+ | 1 | 1 | | 2 | 2 | +---+---+ 2 rows in set (0.00 sec)
        Now we attempt to insert two rows, one of which contains a
        duplicate key value, using ON DUPLICATE KEY
        UPDATE, where the UPDATE clause
        itself results in a duplicate key value:
      
mysql>INSERT INTO t VALUES (2,3), (3,3) ON DUPLICATE KEY UPDATE a=a+1, b=b-1;ERROR 1062 (23000): Duplicate entry '1' for key 't.b' mysql>SELECT * FROM t;+---+---+ | a | b | +---+---+ | 1 | 1 | | 2 | 2 | +---+---+ 2 rows in set (0.00 sec)
        The first row contains a duplicate value for one of the
        table's unique keys (column a), but
        b=b+1 in the UPDATE clause
        results in a unique key violation for column
        b; the statement is immediately rejected with
        an error, and no rows are updated. Let us repeat the statement,
        this time adding the IGNORE keyword, like
        this:
      
mysql>INSERT IGNORE INTO t VALUES (2,3), (3,3)->ON DUPLICATE KEY UPDATE a=a+1, b=b-1;Query OK, 1 row affected, 1 warning (0.00 sec) Records: 2 Duplicates: 1 Warnings: 1
This time, the previous error is demoted to a warning, as shown here:
mysql> SHOW WARNINGS;
+---------+------+-----------------------------------+
| Level   | Code | Message                           |
+---------+------+-----------------------------------+
| Warning | 1062 | Duplicate entry '1' for key 't.b' |
+---------+------+-----------------------------------+
1 row in set (0.00 sec)
        Because the statement was not rejected, execution continues.
        This means that the second row is inserted into
        t, as we can see here:
      
mysql> SELECT * FROM t;
+---+---+
| a | b |
+---+---+
| 1 | 1 |
| 2 | 2 |
| 3 | 3 |
+---+---+
3 rows in set (0.00 sec)
        In assignment value expressions in the ON DUPLICATE KEY
        UPDATE clause, you can use the
        VALUES(
        function to refer to column values from the
        col_name)INSERT portion of the
        INSERT ...
        ON DUPLICATE KEY UPDATE statement. In other words,
        VALUES(
        in the col_name)ON DUPLICATE KEY UPDATE clause refers
        to the value of col_name that would
        be inserted, had no duplicate-key conflict occurred. This
        function is especially useful in multiple-row inserts. The
        VALUES() function is meaningful
        only as an introducer for INSERT statement
        value lists, or in the ON DUPLICATE KEY
        UPDATE clause of an
        INSERT statement, and returns
        NULL otherwise. For example:
      
INSERT INTO t1 (a,b,c) VALUES (1,2,3),(4,5,6) ON DUPLICATE KEY UPDATE c=VALUES(a)+VALUES(b);
That statement is identical to the following two statements:
INSERT INTO t1 (a,b,c) VALUES (1,2,3) ON DUPLICATE KEY UPDATE c=3; INSERT INTO t1 (a,b,c) VALUES (4,5,6) ON DUPLICATE KEY UPDATE c=9;
        For INSERT
        ... SELECT statements, these rules apply regarding
        acceptable forms of SELECT query expressions
        that you can refer to in an ON DUPLICATE KEY
        UPDATE clause:
      
References to columns from queries on a single table, which may be a derived table.
References to columns from queries on a join over multiple tables.
            References to columns from DISTINCT
            queries.
          
            References to columns in other tables, as long as the
            SELECT does not use
            GROUP BY. One side effect is that you
            must qualify references to nonunique column names.
          
        References to columns from a
        UNION do not work reliably. 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 can produce incorrect results:
      
INSERT INTO t1 (a, b) SELECT c, d FROM t2 UNION SELECT e, f FROM t3 ON DUPLICATE KEY UPDATE b = b + c;
        Instead, use an equivalent statement that rewrites the
        UNION as a derived table:
      
INSERT INTO t1 (a, b) SELECT * FROM (SELECT c, d FROM t2 UNION SELECT e, f FROM t3) AS dt ON DUPLICATE KEY UPDATE b = b + c;
        The technique of rewriting a query as a derived table also
        enables references to columns from GROUP BY
        queries.
      
        Because the results of
        INSERT ...
        SELECT statements depend on the ordering of rows from
        the SELECT and this order cannot
        always be guaranteed, it is possible when logging
        INSERT ...
        SELECT ON DUPLICATE KEY UPDATE statements for the
        source and the replica to diverge. Thus,
        INSERT ...
        SELECT ON DUPLICATE KEY UPDATE statements are flagged
        as unsafe for statement-based replication. 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. An
        INSERT ...
        ON DUPLICATE KEY UPDATE statement against a table
        having more than one unique or primary key is also marked as
        unsafe. (Bug #11765650, Bug #58637)
      
See also Section 16.2.1.1, “Advantages and Disadvantages of Statement-Based and Row-Based Replication”.
        An INSERT ... ON DUPLICATE KEY UPDATE on a
        partitioned table using a storage engine such as
        MyISAM that employs table-level
        locks locks any partitions of the table in which a partitioning
        key column is updated. (This does not occur with tables using
        storage engines such as InnoDB that
        employ row-level locking.) For more information, see
        Section 22.6.4, “Partitioning and Locking”.