SQL Server Performance Forum – Threads Archive
replication locking (sql2000 / transactional)Currently, we have a table replicated from one database to another on the
same server. If I update 127 records based on the primary key, the subscription process
locks all the records until all the 127 commands have been executed.
Seamingly regardless of how they were updated. eg. CREATE TABLE Orgs ( OrganisationID INT PRIMARY KEY CLUSTERED ,
TimeLastUpdated DATETIME NOT NULL ) DECLARE @SelectedOrgs ( OrganisationID INT PRIMARY KEY CLUSTERED ) /* … insert 127 organisations to update here … */
—- Process Type 1 UPDATE Orgs SET TimeLastUpdated = GETDATE()
FROM Orgs INNER JOIN @SelectedOrgs SO ON Orgs.OrganisationID =
SO.OrganisationID —- Process Type 2 WHILE ( blah )
— one at a time in asc order
SELECT @OrgID = OrganisationID FROM @SelectedOrgs WHERE ( blah )
UPDATE Orgs SET TimeLastUpdated = GETDATE() WHERE OrganisationID =
Using the default isolation level and no explicit transactions the table in
the subscriber database was locked until the commands had all been executed. What gives – both types lock the whole table on the subscriber. Surely it’s not meant to use the same locks as were applied when the data
Is there any to stop it locking the whole thing while it processes the
Ideally we’d upgrade to 2k5 and use row versioning… but that wont happen
for a while.
—- I need to implement a similar thing on a much larger database which needs to
be up 24/7 and can’t be locked for long periods of time, mean while on the
publisher, 5% of the data may be changed in one go – but if we can’t get it
to use optimistic locking on the subscriber we can’t use replication.
http://www.sql-server-performance.com/reducing_locks.asp Satya SKJ
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satya, thanks for your post, but the 2nd doesn’t really help because the commands I was executing were not in a transaction – they were using implicit transactions (per command). And yet, when the data is sent to the subscriber, the whole dataset is locked (on the subscriber) until all the updates have been processed, regardless of whether they were batched or done singly.