Investigating Latches in SharePoint Databases

We all know that SQL Server is the heart of the SharePoint product. Two synchronization objects that affect SQL Server's overall performance are locks and latches. In simple words we can say that locks control the state of data to ensure transactional integrity whereas latches control the location of data, in memory or on disk. These are quite complex constructs and need an in-depth study to understand them. This article is restricted to the understanding of the two latches. 

• Page Latch: This type of wait occurs on a page when it is already available in memory and the worker thread needs to wait for a page to become available.
• Page IO Latch: This type of wait occurs due to physical I/O, such as when a page needs to be made available in the buffer pool for reading or writing and SQL Server needs to retrieve it from disk.

To investigate performance problems in SharePoint, there are a few columns in "sys.dm_db_index_operational_stats" as follows that are important:

• page_latch_wait_count: Cumulative number of times the Database Engine waited, because of latch contention
• page_latch_wait_in_ms: Cumulative number of milliseconds the Database Engine waited, because of latch contention
• page_io_latch_wait_count : Cumulative number of times the Database Engine waited on an I/O page latch
• page_io_latch_wait_in_ms: Cumulative number of milliseconds the Database Engine waited on a page I/O latch

Let's run the following query on SharePoint Administrator and the Content Database. First I am generating some page IO latch that waits by uploading a 50Mb file.

SELECT OBJECT_SCHEMA_NAME(ios.object_id) + '.' + OBJECT_NAME(ios.object_id) as table_name,

i.name as index_name, page_io_latch_wait_count, page_io_latch_wait_in_ms

,CAST(1. * page_io_latch_wait_in_ms / NULLIF(page_io_latch_wait_count ,0) AS decimal(12,2)) AS page_io_avg_lock_wait_ms

FROM sys.dm_db_index_operational_stats (DB_ID(), NULL, NULL, NULL) ios

INNER JOIN sys.indexes i ON i.object_id = ios.object_id AND i.index_id = ios.index_id

WHERE OBJECTPROPERTY(ios.object_id,'IsUserTable') = 1

ORDER BY  page_io_avg_lock_wait_ms DESC

In the Content Database, I get the following results:
 

dbo.AllLists	AllLists_PK	4	1506	376.5
dbo.AllWebParts	PageUrlID_FK	3	946	315.33
dbo.EventBatches	EventBatches_PK	1	261	261
dbo.DocStreams	DocStreams_CI	1	249	249
dbo.SolutionResourceUsageWindowed	SolutionResourceUsageWindowed_Id	1	243	243
dbo.Features	Features_PK	2	402	201
dbo.EventCache	EventCache_Id	3	594	198
dbo.SolutionResourceUsageLog	SolutionResourceUsageLog_Id	1	195	195
dbo.AllWebParts	ListIdUserId_NCI	2	370	185
dbo.AllSites	Sites_Id	1	179	179
dbo.AllLists	Lists_FullText	1	156	156
dbo.AllDocs	AllDocs_ParentId	9	1019	113.22

 

And in the Admin Database, I get the following results:
 

dbo.UserInfo	UserInfo_PK	6	4474	745.67
dbo.AllLists	AllLists_PK	18	7133	396.28
dbo.AllWebParts	ListIdUserId_NCI	17	6015	353.82
dbo.AllDocs	Docs_IdLevelUnique	14	4285	306.07
dbo.AllDocs	AllDocs_Url	23	5696	247.65
dbo.DatabaseInformation	DatabaseInformation_Name	1	244	244
dbo.AllUserData	AllUserData_ParentId	53	10577	199.57
dbo.AllLinks	Links_Forward	8	1534	191.75
dbo.AllWebs	Webs_PK	6	982	163.67
dbo.AllDocs	AllDocs_ParentId	20	2992	149.6
dbo.UserInfo	UserInfo_SID	6	839	139.83
dbo.AllUserData	AllUserData_PK	10	1079	107.9
dbo.Features	Features_PK	6	641	106.83
dbo.EventCache	EventCache_Id	59	6025	102.12
dbo.WebMembers	WebMembers_PK	6	606	101

 

Similarly, you can run the following Page Latch query and check the results.
 

SELECT OBJECT_SCHEMA_NAME(ios.object_id) + '.' + OBJECT_NAME(ios.object_id) as table_name

,i.name as index_name

,page_latch_wait_count

,page_latch_wait_in_ms

,CAST(1. * page_latch_wait_in_ms / NULLIF(page_latch_wait_count ,0) AS decimal(12,2)) AS page_avg_lock_wait_ms

FROM sys.dm_db_index_operational_stats (DB_ID(), NULL, NULL, NULL) ios

INNER JOIN sys.indexes i ON i.object_id = ios.object_id AND i.index_id = ios.index_id

WHERE OBJECTPROPERTY(ios.object_id,'IsUserTable') = 1

ORDER BY 5 DESC
  

 

 

So, we get these results. What's next? How does it help in investigating performance problems. Looking at the time required to wait for latches, you can decide if you need to increase the memory or change the buffer pool settings. Are the SQL files saved on a faster drive or if on SANs? Are these SANs fast enough? Probably with SQL Server 2014, in-memory procedures and column store indexes, in the future there will be no need to look at these constructs again, but for that we need to wait for the next SharePoint version.