In row-level locking, InnoDB uses an
algorithm called next-key locking.
InnoDB performs the row-level locking in such
a way that when it searches or scans an index of a table, it
sets shared or exclusive locks on the index records it
encounters. Thus, the row-level locks are actually index record
locks.
The next-key locks that InnoDB sets on index
records also affect the “gap” before that index
record. If a user has a shared or exclusive lock on record
R in an index, another user cannot insert a
new index record immediately before R in the
index order. (A gap lock refers to a lock that only locks a gap
before some index record.)
This next-key locking of gaps is done to prevent the so-called
“phantom problem.” Suppose that you want to read
and lock all children from the child table
having an identifier value greater than 100, with the intention
of updating some column in the selected rows later:
SELECT * FROM child WHERE id > 100 FOR UPDATE;
Suppose that there is an index on the id
column. The query scans that index starting from the first
record where id is bigger than 100. If the
locks set on the index records would not lock out inserts made
in the gaps, a new row might meanwhile be inserted to the table.
If you execute the same SELECT within the
same transaction, you would see a new row in the result set
returned by the query. This is contrary to the isolation
principle of transactions: A transaction should be able to run
so that the data it has read does not change during the
transaction. If we regard a set of rows as a data item, the new
“phantom” child would violate this isolation
principle.
When InnoDB scans an index, it can also lock
the gap after the last record in the index. Just that happens in
the previous example: The locks set by InnoDB
prevent any insert to the table where id
would be bigger than 100.
You can use next-key locking to implement a uniqueness check in your application: If you read your data in share mode and do not see a duplicate for a row you are going to insert, then you can safely insert your row and know that the next-key lock set on the successor of your row during the read prevents anyone meanwhile inserting a duplicate for your row. Thus, the next-key locking allows you to “lock” the non-existence of something in your table.
In MySQL 6.0, if the READ
COMMITTED isolation level is used or the
innodb_locks_unsafe_for_binlog system
variable is enabled, there is no InnoDB gap
locking except in constraint checking. Also, record locks for
non-matching rows are released after MySQL has evaluated the
WHERE condition.

User Comments
Note that if you use SELECT FOR UPDATE to perform a uniqueness check before an insert, you will get a deadlock for every race condition unless you enable the innodb_locks_unsafe_for_binlog option. A deadlock-free method to check uniqueness is to blindly insert a row into a table with a unique index using INSERT IGNORE, then to check the affected row count.
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