“INSERT IGNORE” vs “INSERT … ON DUPLICATE KEY UPDATE”

Question

While executing an INSERT statement with many rows, I want to skip duplicate entries that would otherwise cause failure. After some research, my options appear

Answer 1

I would recommend using INSERT...ON DUPLICATE KEY UPDATE.

If you use INSERT IGNORE, then the row won't actually be inserted if it results in a duplicate key. But the statement won't generate an error. It generates a warning instead. These cases include:

• Inserting a duplicate key in columns with PRIMARY KEY or UNIQUE constraints.
• Inserting a NULL into a column with a NOT NULL constraint.
• Inserting a row to a partitioned table, but the values you insert don't map to a partition.

If you use REPLACE, MySQL actually does a DELETE followed by an INSERT internally, which has some unexpected side effects:

• A new auto-increment ID is allocated.
• Dependent rows with foreign keys may be deleted (if you use cascading foreign keys) or else prevent the REPLACE.
• Triggers that fire on DELETE are executed unnecessarily.
• Side effects are propagated to replicas too.

correction: both REPLACE and INSERT...ON DUPLICATE KEY UPDATE are non-standard, proprietary inventions specific to MySQL. ANSI SQL 2003 defines a MERGE statement that can solve the same need (and more), but MySQL does not support the MERGE statement.

---

A user tried to edit this post (the edit was rejected by moderators). The edit tried to add a claim that INSERT...ON DUPLICATE KEY UPDATE causes a new auto-increment id to be allocated. It's true that the new id is generated, but it is not used in the changed row.

See demonstration below, tested with Percona Server 5.5.28. The configuration variable innodb_autoinc_lock_mode=1 (the default):

mysql> create table foo (id serial primary key, u int, unique key (u));
mysql> insert into foo (u) values (10);
mysql> select * from foo;
+----+------+
| id | u    |
+----+------+
|  1 |   10 |
+----+------+

mysql> show create table foo\G
CREATE TABLE `foo` (
  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
  `u` int(11) DEFAULT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `u` (`u`)
) ENGINE=InnoDB AUTO_INCREMENT=2 DEFAULT CHARSET=latin1

mysql> insert into foo (u) values (10) on duplicate key update u = 20;
mysql> select * from foo;
+----+------+
| id | u    |
+----+------+
|  1 |   20 |
+----+------+

mysql> show create table foo\G
CREATE TABLE `foo` (
  `id` bigint(20) unsigned NOT NULL AUTO_INCREMENT,
  `u` int(11) DEFAULT NULL,
  PRIMARY KEY (`id`),
  UNIQUE KEY `u` (`u`)
) ENGINE=InnoDB AUTO_INCREMENT=3 DEFAULT CHARSET=latin1

The above demonstrates that the IODKU statement detects the duplicate, and invokes the update to change the value of u. Note the AUTO_INCREMENT=3 indicates an id was generated, but not used in the row.

Whereas REPLACE does delete the original row and inserts a new row, generating and storing a new auto-increment id:

mysql> select * from foo;
+----+------+
| id | u    |
+----+------+
|  1 |   20 |
+----+------+
mysql> replace into foo (u) values (20);
mysql> select * from foo;
+----+------+
| id | u    |
+----+------+
|  3 |   20 |
+----+------+

Answer 2

If you want to insert in the table and on the conflict of the primary key or unique index it will update the conflicting row instead of inserting that row.

Syntax:

insert into table1 set column1 = a, column2 = b on duplicate update column2 = c;

Now here, this insert statement may look different what you have seen earlier. This insert statement trying to insert a row in table1 with the value of a and b into column column1 and column2 respectively.

Let's understand this statement in depth:

For example: here column1 is defined as the primary key in table1.

Now if in table1 there is no row having the value “a” in column1. So this statement will insert a row in the table1.

Now if in table1 there is a row having the value “a” in column2. So this statement will update the row’s column2 value with “c” where the column1 value is “a”.

So if you want to insert a new row otherwise update that row on the conflict of the primary key or unique index.
Read more on this link

Answer 3

I know this is old, but I'll add this note in case anyone else (like me) arrives at this page while trying to find information on INSERT..IGNORE.

As mentioned above, if you use INSERT..IGNORE, errors that occur while executing the INSERT statement are treated as warnings instead.

One thing which is not explicitly mentioned is that INSERT..IGNORE will cause invalid values will be adjusted to the closest values when inserted (whereas invalid values would cause the query to abort if the IGNORE keyword was not used).

Answer 4

In case you want to see what this all means, here is a blow-by-blow of everything:

CREATE TABLE `users_partners` (
  `uid` int(11) NOT NULL DEFAULT '0',
  `pid` int(11) NOT NULL DEFAULT '0',
  PRIMARY KEY (`uid`,`pid`),
  KEY `partner_user` (`pid`,`uid`)
) ENGINE=MyISAM DEFAULT CHARSET=utf8

Primary key is based on both columns of this quick reference table. A Primary key requires unique values.

Let's begin:

INSERT INTO users_partners (uid,pid) VALUES (1,1);
...1 row(s) affected

INSERT INTO users_partners (uid,pid) VALUES (1,1);
...Error Code : 1062
...Duplicate entry '1-1' for key 'PRIMARY'

INSERT IGNORE INTO users_partners (uid,pid) VALUES (1,1);
...0 row(s) affected

INSERT INTO users_partners (uid,pid) VALUES (1,1) ON DUPLICATE KEY UPDATE uid=uid
...0 row(s) affected

note, the above saved too much extra work by setting the column equal to itself, no update actually needed

REPLACE INTO users_partners (uid,pid) VALUES (1,1)
...2 row(s) affected

and now some multiple row tests:

INSERT INTO users_partners (uid,pid) VALUES (1,1),(1,2),(1,3),(1,4)
...Error Code : 1062
...Duplicate entry '1-1' for key 'PRIMARY'

INSERT IGNORE INTO users_partners (uid,pid) VALUES (1,1),(1,2),(1,3),(1,4)
...3 row(s) affected

no other messages were generated in console, and it now has those 4 values in the table data. I deleted everything except (1,1) so I could test from the same playing field

INSERT INTO users_partners (uid,pid) VALUES (1,1),(1,2),(1,3),(1,4) ON DUPLICATE KEY UPDATE uid=uid
...3 row(s) affected

REPLACE INTO users_partners (uid,pid) VALUES (1,1),(1,2),(1,3),(1,4)
...5 row(s) affected

So there you have it. Since this was all performed on a fresh table with nearly no data and not in production, the times for execution were microscopic and irrelevant. Anyone with real-world data would be more than welcome to contribute it.

Answer 5

Something important to add: When using INSERT IGNORE and you do have key violations, MySQL does NOT raise a warning!

If you try for instance to insert 100 records at a time, with one faulty one, you would get in interactive mode:

Query OK, 99 rows affected (0.04 sec)

Records: 100 Duplicates: 1 Warnings: 0

As you see: No Warnings! This behavior is even wrongly described in the official Mysql Documentation.

If your script needs to be informed, if some records have not been added (due to key violations) you have to call mysql_info() and parse it for the "Duplicates" value.

Answer 6

INSERT...ON DUPLICATE KEY UPDATE is prefered to prevent unexpected Exceptions management.

This solution works when you have **1 unique constraint** only

In my case I know that col1 and col2 make a unique composite index.

It keeps track of the error, but does not throw an exception on duplicate. Regarding the performance, the update by the same value is efficient as MySQL notices this and does not update it

INSERT INTO table
  (col1, col2, col3, col4)
VALUES
  (?, ?, ?, ?)
ON DUPLICATE KEY UPDATE
    col1 = VALUES(col1),
    col2 = VALUES(col2)

The idea to use this approach came from the comments at phpdelusions.net/pdo.