Return to Introduction to Locking in SQL Server
Introduction to Locking in SQL Server
Written by Mladen Prajdić on 12 December 2007
Locking is a major part of every RDBMS and is important to know about. It is a database functionality which without a multi-user environment could not work. The main problem of locking is that in an essence it's a logical and not physical problem. This means that no amount of hardware will help you in the end. Yes you might cut execution times but this is only a virtual fix. In a heavy multi-user environment any logical problems will appear sooner or later.
Lock modes
All examples are run under the default READ COMMITED isolation level. Taken locks differ between
isolation levels, however these examples are just to demonstrate the lock mode with an example.
Here's a little explanation of the three columns from sys.dm_tran_locks used in the examples:
| resource_type |
This tells us what resource in the database the locks are being taken on. It can be one of
these values: DATABASE, FILE, OBJECT, PAGE, KEY, EXTENT, RID, APPLICATION, METADATA,
HOBT, ALLOCATION_UNIT. |
| request_mode |
This tells us the mode of our lock. |
| resource_description |
This shows a brief description of the resource. Usually holds the id of the page, object,
file, row, etc. It isn't populated for every type of lock |
The filter on resource_type <> 'DATABASE' just means that we don't want to see general shared
locks taken on databases. These are always present. All shown outputs are from the sys.dm_tran_locks
dynamic management view. In some examples it is truncated to display only locks relevant for the example.
For full output you can run these yourself.
Shared locks (S)
Shared locks are held on data being read under the pessimistic concurrency model.
While a shared lock is being held other transactions can read but can't modify locked data.
After the locked data has been read the shared lock is released, unless the transaction
is being run with the locking hint (READCOMMITTED, READCOMMITTEDLOCK) or under the isolation
level equal or more restrictive than Repeatable Read. In the example you can't see
the shared locks because they're taken for the duration of the select statement and
are already released when we would select data from sys.dm_tran_locks.
That is why an addition of WITH (HOLDLOCK) is needed to see the locks.
BEGIN TRAN
USE AdventureWorks
SELECT * FROM Person.Address WITH (HOLDLOCK)
WHERE AddressId = 2
SELECT resource_type, request_mode, resource_description
FROM sys.dm_tran_locks
WHERE resource_type <> 'DATABASE'
ROLLBACK

Update locks (U)
Update locks are a mix of shared and exclusive locks. When a DML statement is executed SQL Server
has to find the data it wants to modify first, so to avoid lock conversion deadlocks an update
lock is used. Only one update lock can be held on the data at one time, similar to an
exclusive lock. But the difference here is that the update lock itself can't modify the
underlying data. It has to be converted to an exclusive lock before the modification
takes place. You can also force an update lock with the UPDLOCK hint:
BEGIN TRAN
USE AdventureWorks
SELECT * FROM Person.Address WITH (UPDLOCK)
WHERE AddressId < 2
SELECT resource_type, request_mode, resource_description
FROM sys.dm_tran_locks
WHERE resource_type <> 'DATABASE'
ROLLBACK

Exclusive locks (X)
Exclusive locks are used to lock data being modified by one transaction thus preventing
modifications by other concurrent transactions. You can read data held by exclusive lock
only by specifying a NOLOCK hint or using a read uncommitted isolation level.
Because DML statements first need to read the data they want to modify you'll always find
Exclusive locks accompanied by shared locks on that same data.
BEGIN TRAN
USE AdventureWorks
UPDATE Person.Address
SET AddressLine2 = 'Test Address 2'
WHERE AddressId = 5
SELECT resource_type, request_mode, resource_description
FROM sys.dm_tran_locks
WHERE resource_type <> 'DATABASE'
ROLLBACK

Intent locks (I)
Intent locks are a means in which a transaction notifies other transaction that it is
intending to lock the data. Thus the name. Their purpose is to assure proper data
modification by preventing other transactions to acquire a lock on the object
higher in lock hierarchy. What this means is that before you obtain a lock
on the page or the row level an intent lock is set on the table. This
prevents other transactions from putting exclusive locks on the table that
would try to cancel the row/page lock. In the example we can see the intent
exclusive locks being placed on the page and the table where the key is to
protect the data from being locked by other transactions.
BEGIN TRAN
USE AdventureWorks
UPDATE TOP(5) Person.Address
SET AddressLine2 = 'Test Address 2'
WHERE PostalCode = '98011'
SELECT resource_type, request_mode, resource_description
FROM sys.dm_tran_locks
WHERE resource_type <> 'DATABASE'
ROLLBACK

Schema locks (Sch)
There are two types of schema locks:
- Schema stability lock (Sch-S): Used while generating execution plans. These locks
don't block access to the object data.
- Schema modification lock (Sch-M): Used while executing a DDL statement. Blocks
access to the object data since its structure is being changed.
In the example we can see the Sch-S and Sch-M locks being taken on the system tables
and the TestTable plus a lot of other locks on the system tables.
BEGIN TRAN
USE AdventureWorks
CREATE TABLE TestTable (TestColumn INT)
SELECT resource_type, request_mode, resource_description
FROM sys.dm_tran_locks
WHERE resource_type <> 'DATABASE'
ROLLBACK

Bulk Update locks (BU)
Bulk Update locks are used by bulk operations when TABLOCK hint is used by the import.
This allows for multiple fast concurrent inserts by disallowing data reading to other transactions.
Conversion locks
Conversion locks are locks resulting from converting one type of lock to another. There are 3
types of conversion locks:
- Shared with Intent Exclusive (SIX). A transaction that holds a Shared lock also has some pages/rows locked with an Exclusive lock
- Shared with Intent Update (SIU). A transaction that holds a Shared lock also has some pages/rows locked with an Update lock.
- Update with Intent Exclusive (UIX). A transaction that holds an Update lock also has some pages/rows locked with an Exclusive lock.
In the example you can see the UIX conversion lock being taken on the page:
BEGIN TRAN
USE AdventureWorks
UPDATE TOP(5) Person.Address
SET AddressLine2 = 'Test Address 2'
WHERE PostalCode = '98011'
SELECT resource_type, request_mode, resource_description
FROM sys.dm_tran_locks
WHERE resource_type <> 'DATABASE'
ROLLBACK

Key - Range locks
Key-range locks protect a range of rows implicitly included in a record set being read by
a Transact-SQL statement while using the serializable transaction isolation level. Key-range
locking prevents phantom reads. By protecting the ranges of keys between rows, it also prevents
phantom insertions or deletions into a record set accessed by a transaction. In the example we can
see that there are two types of key-range locks taken:
- RangeX-X - exclusive lock on the interval between the keys and
exclusive lock on the last key in the range
- RangeS-U – shared lock on the interval between the keys and
update lock on the last key in the range
SET TRANSACTION ISOLATION LEVEL SERIALIZABLE;
BEGIN TRAN
USE AdventureWorks
UPDATE Person.Address
SET AddressLine2 = 'Test Address 2'
WHERE AddressLine1 LIKE '987 %'
SELECT resource_type, request_mode, resource_description
FROM sys.dm_tran_locks
WHERE resource_type <> 'DATABASE'
ROLLBACK

Lock Granularity
Lock granularity consists of TABLE, PAGE and ROW locks. If you have a clustered index
on the table then instead of a ROW lock you have a KEY lock. Locking on the lower level
increases concurrency, but if a lot of locks are taken consumes more memory and vice versa
for the higher levels. So granularity simply means the level at which the SQL Server locks
data. Also note that the more restricted isolation level we choose, the higher the
locking level to keep data in correct state. You can override the locking level by using
ROWLOCK, PAGLOCK or TABLOCK hints but the use of these hints is discouraged since SQL Server
know what are the appropriate locks to take for each scenario. If you must use them you should
be aware of the concurrency and data consistency issues you might cause.
Spinlocks
Spinlocks are a light-weight lock mechanism that doesn't lock data but it waits for a
short period of time for a lock to be free if a lock already exists on the data a transaction
is trying to lock. It's a mutual exclusion mechanism to reduce context switching between
threads in SQL Server.
Lock Compatibility Matrix
This is taken
from http://msdn2.microsoft.com/En-US/library/ms186396.aspx. Also a
good resource to have is a Lock Compatibility Matrix which tells you how each
lock plays nice with other lock modes. It is one of those things you don't think you
need up until the moment you need it.

Conclusion
Hopefully this article has shed some light on how SQL Server operates with locks and
why is locking of such importance to proper application and database design and operation.
Remember that locking problems are of logical and not physical nature so they have to be
well thought out. Locking goes hand in hand with transaction isolation levels so be familiar
with those too. In the next article I'll show some ways to resolve locking problems.
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