Page splits are always thought of as expensive, but just how bad are they? In this post I want to create an example to show how much more transaction log is created when a page in an index has to split. I'm going to use the sys.dm_tran_database_transactions DMV to show how much more transaction log is generated when a page has to split. You can find the list of columns and a small amount of explanation of each column in Books Online here - I was reminded of its existence by someone on Twitter (sorry, don't remember who it was and I couldn't find it in search).
In the example, I'm going to create a table with approximately 1000-byte long rows:
CREATE DATABASE PageSplitTest;
GO
USE pagesplittest;
GOCREATE TABLE BigRows (c1 INT, c2 CHAR (1000));
CREATE CLUSTERED INDEX BigRows_CL ON BigRows (c1);
GOINSERT INTO BigRows VALUES (1, 'a');
INSERT INTO BigRows VALUES (2, 'a');
INSERT INTO BigRows VALUES (3, 'a');
INSERT INTO BigRows VALUES (4, 'a');
INSERT INTO BigRows VALUES (6, 'a');
INSERT INTO BigRows VALUES (7, 'a');
GO
I've engineered the case where the clustered index data page has space for one more row, and I've left a 'gap' at c1=5. Let's add it as part of an explicit transaction and see how much transaction log is generated:
BEGIN TRAN
INSERT INTO BigRows VALUES (8, 'a');
GOSELECT [database_transaction_log_bytes_used] FROM sys.dm_tran_database_transactions
WHERE [database_id] = DB_ID ('PageSplitTest');
GOdatabase_transaction_log_bytes_used
———————————–
1228
That's about what I'd expect for that row. Now what about when I cause a page split by inserting the 'missing' c1=5 row into the full page?
– commit previous transaction
COMMIT TRAN
GOBEGIN TRAN
INSERT INTO BigRows VALUES (5, 'a');
GOSELECT [database_transaction_log_bytes_used] FROM sys.dm_tran_database_transactions
WHERE [database_id] = DB_ID ('PageSplitTest');
GOdatabase_transaction_log_bytes_used
———————————–
6724
Wow. 5.5x more bytes are written to the transaction log as part of the system transaction that does the split.
The ratio gets worse as the row size gets smaller. For a row with an approximately 100-byte long row (use the same code as above, but change to a CHAR (100), insert 67 rows with a 'gap' somewhere then insert the 68th to cause the split), the two numbers are 328 and 5924 – the split cause 18 times more log to be generated! For a row with an approximately 10-byte long row, I got numbers of 240 and 10436, because I created skewed data (about 256 rows with the key value 8) and then inserted key value 5 which forced a (rare) non-middle page split. That's a ratio of more than 43 times more log generated! You can try this yourself if you want: I changed the code to have a CHAR (10), inserted values 1, 2, 3, 4, 6, 7, then inserted 256 key values of 8 and then 2 of 5. The resulting page had only 6 rows – it split after the key value 5 – the Storage Engine doesn't always do a 50/50 page split. And that's not even causing nasty cascading page-splits, or splits that have to split a page multiple times to fit a new (variable-sized) row in.
Bottom line: page splits don't just cause extra IOs and index fragmentation, they generate a *lot* more transaction log. And all that log has to be (potentially) backed up, log shipped, mirrored….
7 Responses to How expensive are page splits in terms of transaction log?
I’m relatively new to Sql Server and still trying to understand why a clustered index would be used here at all. I get that when data is going to be accessed in sequence that a clustered index will keep it all physically ordered on a disk and that caching of the data by the disk controller in will likely result in your next needed record being in memory already (although I have questions about how true that is if multiple people are accessing the database at the same time causing the disk to spin). I don’t get what this buys you in the majority of situations when data is being retrieved out of sequence by other criteria (i.e Where SalesID = ’123′). From what you have shown here it seems like it is more likely that having a clustered PK index on an identity column instead of non-clustered is going to add overhead. Can you explain how exactly clustering a PK identity column index really benefits the database?
Your best bet is to read this whitepaper: http://technet.microsoft.com/en-us/library/cc917672.aspx
Good to know, I hadn’t thought much of the performance hit of page splits on the transaction log.
Hi Paul,
Very nice article on page splits, does this still happen when you have a database snapshot setup?
When its using a sparse file to capture all the data.
How do we check that pice of information.
Thank you.
Vinay.
Hi Vinay – yes – database snapshots are completely orthogonal to this.
[...] How expensive are page splits in terms of transaction log? [...]
[...] Page splits, from random inserts into full pages or updates to rows on full pages. These kind of page splits result in logical fragmentation that affects range scan performance, low data density in data/index pages, and increased transaction log overhead (see How expensive are page splits in terms of transaction log?). [...]