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Archive for September 2011

Virtual Tech Days Session – Managing SQL Server Made Easy – Features and Concepts   Leave a comment


I just concluded my session “Managing SQL Server Made Easy – Features and Concepts” for Virtual Tech Days, September 2011. I covered four different topics:

1. Policy Based Management
2. System Health Session
3. Management Data Warehouse
4. Dedicated Administrator Connection

The System Health Session reports and queries used in my demo can be downloaded here. The slide deck is available on my SlideShare account

The slide deck and the recording of the session will be available on the Virtual Tech Days website at a later date. If you want to have a few questions regarding the session, please drop me a comment on this post or send a tweet across my way or post on my blog’s facebook page.

The recording of the webcast is available here.

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Posted September 29, 2011 by Amit Banerjee in Webcasts and Events

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System Health Session: Part 4   23 comments


This is the last post for the System Health Session series. In this post, I shall show you how to extract deadlock related information from the deadlock graph captured by the System Health Session.

The deadlock graph captured typically has three distinct nodes:

victim-list – Deadlock victim’s process identifier
process-list – Information pertaining to all the processes involved in the deadlock
resource-list – Information about the resources involved in the deadlock

The query below will provide you with the time stamp when the deadlock was reported along with victim process identifier.

 -- Fetch the Health Session data into a temporary table

SELECT CAST(xet.target_data AS XML) AS XMLDATA
INTO #SystemHealthSessionData
FROM sys.dm_xe_session_targets xet
JOIN sys.dm_xe_sessions xe
ON (xe.address = xet.event_session_address)
WHERE xe.name = 'system_health'
-- Gets the Deadlock Event Time and Victim Process
SELECT C.query('.').value('(/event/@timestamp)[1]', 'datetime') as EventTime,
CAST(C.query('.').value('(/event/data/value)[1]', 'varchar(MAX)') AS XML).value('(<a>/deadlock/victim-list/victimProcess/@id)[1]','varchar(100)'</a>) VictimProcess
FROM #SystemHealthSessionData a
CROSS APPLY a.XMLDATA.nodes('/RingBufferTarget/event') as T(C)
WHERE C.query('.').value('(/event/@name)[1]', 'varchar(255)') = 'xml_deadlock_report'
-- Drop the temporary table
DROP TABLE #SystemHealthSessionData 

The next query (when provided with an event time from the above query output)
will provide you a parsed version of the process list in a tabular format which
can be easier to read when you have a large number of sessions involved in the
deadlock.

 -- Fetch the Health Session data into a temporary table

SELECT CAST(xet.target_data AS XML) AS XMLDATA
INTO #SystemHealthSessionData
FROM sys.dm_xe_session_targets xet
JOIN sys.dm_xe_sessions xe
ON (xe.address = xet.event_session_address)
WHERE xe.name = 'system_health'

-- Parses the process list for a specific deadlock once provided with an event time for the deadlock from the above output

;WITH CTE_HealthSession (EventXML) AS
(
SELECT CAST(C.query('.').value('(/event/data/value)[1]', 'varchar(MAX)') AS XML) EventXML
FROM #SystemHealthSessionData a
CROSS APPLY a.XMLDATA.nodes('/RingBufferTarget/event') as T(C)
WHERE C.query('.').value('(/event/@name)[1]', 'varchar(255)') = 'xml_deadlock_report'
AND C.query('.').value('(/event/@timestamp)[1]', 'datetime') = '2011-09-28 06:24:44.700' -- Replace with relevant timestamp
)
SELECT DeadlockProcesses.value('(@id)[1]','varchar(50)') as id
,DeadlockProcesses.value('(@taskpriority)[1]','bigint') as taskpriority
,DeadlockProcesses.value('(@logused)[1]','bigint') as logused
,DeadlockProcesses.value('(@waitresource)[1]','varchar(100)') as waitresource
,DeadlockProcesses.value('(@waittime)[1]','bigint') as waittime
,DeadlockProcesses.value('(@ownerId)[1]','bigint') as ownerId
,DeadlockProcesses.value('(@transactionname)[1]','varchar(50)') as transactionname
,DeadlockProcesses.value('(@lasttranstarted)[1]','varchar(50)') as lasttranstarted
,DeadlockProcesses.value('(@XDES)[1]','varchar(20)') as XDES
,DeadlockProcesses.value('(@lockMode)[1]','varchar(5)') as lockMode
,DeadlockProcesses.value('(@schedulerid)[1]','bigint') as schedulerid
,DeadlockProcesses.value('(@kpid)[1]','bigint') as kpid
,DeadlockProcesses.value('(@status)[1]','varchar(20)') as status
,DeadlockProcesses.value('(@spid)[1]','bigint') as spid
,DeadlockProcesses.value('(@sbid)[1]','bigint') as sbid
,DeadlockProcesses.value('(@ecid)[1]','bigint') as ecid
,DeadlockProcesses.value('(@priority)[1]','bigint') as priority
,DeadlockProcesses.value('(@trancount)[1]','bigint') as trancount
,DeadlockProcesses.value('(@lastbatchstarted)[1]','varchar(50)') as lastbatchstarted
,DeadlockProcesses.value('(@lastbatchcompleted)[1]','varchar(50)') as lastbatchcompleted
,DeadlockProcesses.value('(@clientapp)[1]','varchar(150)') as clientapp
,DeadlockProcesses.value('(@hostname)[1]','varchar(50)') as hostname
,DeadlockProcesses.value('(@hostpid)[1]','bigint') as hostpid
,DeadlockProcesses.value('(@loginname)[1]','varchar(150)') as loginname
,DeadlockProcesses.value('(@isolationlevel)[1]','varchar(150)') as isolationlevel
,DeadlockProcesses.value('(@xactid)[1]','bigint') as xactid
,DeadlockProcesses.value('(@currentdb)[1]','bigint') as currentdb
,DeadlockProcesses.value('(@lockTimeout)[1]','bigint') as lockTimeout
,DeadlockProcesses.value('(@clientoption1)[1]','bigint') as clientoption1
,DeadlockProcesses.value('(@clientoption2)[1]','bigint') as clientoption2
FROM (select EventXML as DeadlockEvent FROM CTE_HealthSession) T
CROSS APPLY DeadlockEvent.nodes('//deadlock/process-list/process') AS R(DeadlockProcesses)

-- Drop the temporary table
DROP TABLE #SystemHealthSessionData

The script file for the above queries can be downloaded from here.

A sample output of the above two queries is shown below:

The second dataset which shows the parsed process list from the deadlock graph is for the timestamp highlighted above.

As mentioned in one of my previous posts, the custom reports used in the previous posts can be downloaded from here (Filename: System_Health_Session_Custom_Reports.zip).

Modification April 20th, 2012: Just updated the .sql files and added the Deadlock Report to the SkyDrive location.

Note: To make use of the deadlock graph captured by the System Health Session, you need to have the required update applied to avoid the issue mentioned in KB978629. The issue is addressed in:
981355    Cumulative Update package 1 for SQL Server 2008 R2
http://support.microsoft.com/default.aspx?scid=kb;EN-US;981355
977443    Cumulative update package 6 for SQL Server 2008 Service Pack 1
http://support.microsoft.com/default.aspx?scid=kb;EN-US;977443

If you don’t have the updates installed, then Jonathan (Blog | Twitter) has shown in his article Retrieving Deadlock Graphs with SQL Server 2008 Extended Events how to workaround the issue. Michael Zilberstein’s (Blog) article, Parsing Extended Events xml_deadlock_report, has an updated/corrected version of the T-SQL to fetch the deadlock information.

References:

Bart Duncan’s Weblog:
Deadlock Troubleshooting, Part 1
Deadlock Troubleshooting, Part 2
Deadlock Troubleshooting, Part 3

System Health Session: Part 3   Leave a comment


In my last post, I had demonstrated how to fetch the waits information captured by the System Health session. In this post, I shall show the custom reports that can be built using the waits information fetched.

image

The above report gives a summary of all the waits recorded by the health session. I have a second level drill-down available which allows me to get specific information for each of the distinct waits reported above and lets me get the SQL Query that experienced the wait.

image

As you can see above, that I have the SQL query, the time when the wait was reported along with duration statistics of the wait.

Another category of events that are tracked by the System Health session are non-yielding scheduler conditions (reported using the error number 17883) in SQL Server. So if your SQL Server instance encountered a non-yielding scheduler condition, then this information can be tracked using System Health session. The query below will give you the information of all the non-yielding conditions detected by the SQL Server instance subject to condition that the ring buffer storing this information has not been overwritten.

-- Query to fetch non-yielding errors captured by the System Health Session
SET NOCOUNT ON

SELECT CAST(xet.target_data AS XML) AS XMLDATA
INTO #SystemHealthSessionData
FROM sys.dm_xe_session_targets xet
JOIN sys.dm_xe_sessions xe ON (xe.address = xet.event_session_address)
WHERE xe.name = 'system_health'

;WITH CTE_HealthSession (EventXML) AS
( SELECT C.query('.') EventXML
FROM #SystemHealthSessionData a
CROSS APPLY a.XMLDATA.nodes('/RingBufferTarget/event') as T(C)
WHERE C.query('.').value('(/event/@name)[1]', 'varchar(255)') = 'scheduler_monitor_non_yielding_ring_buffer_recorded' )
SELECT EventXML.value('(/event/@timestamp)[1]', 'datetime') as EventTime,
EventXML.value('(/event/data/value)[4]', 'int') as NodeID,
EventXML.value('(/event/data/value)[5]', 'int') as SchedulerID,
CASE EventXML.value('(/event/data/value)[3]', 'int') WHEN 0 THEN 'BEGIN' WHEN 1 THEN 'END' ELSE '' END AS DetectionStage,
EventXML.value('(/event/data/value)[6]', 'varchar(50)') as Worker,
EventXML.value('(/event/data/value)[7]', 'bigint') as Yields,
EventXML.value('(/event/data/value)[8]', 'int') as Worker_Utilization,
EventXML.value('(/event/data/value)[9]', 'int') as Process_Utilization,
EventXML.value('(/event/data/value)[10]', 'int') as System_Idle,
EventXML.value('(/event/data/value)[11]', 'bigint') as User_Mode_Time,
EventXML.value('(/event/data/value)[12]', 'bigint') as Kernel_Mode_Time,
EventXML.value('(/event/data/value)[13]', 'bigint') as Page_Faults,
EventXML.value('(/event/data/value)[14]', 'float') as Working_Set_Delta,
EventXML.value('(/event/data/value)[15]', 'bigint') as Memory_Utilization
FROM CTE_HealthSession
ORDER BY EventTime,Worker

DROP TABLE #SystemHealthSessionData

The .sql file for the above script is available here.

image

A sample output of the above query is shown on the left. An important information in this output is the worker address. Using this worker address, I can get the relevant messages pertaining to the non-yielding condition.

2011-09-27 21:57:51.560 Server       Process 0:0:0 (0x18c0) Worker 0x000000000606A1A0 appears to be non-yielding on Scheduler 5. Thread creation time: 12961597452926. Approx Thread CPU Used: kernel 0 ms, user 0 ms. Process Utilization 0%. System Idle 98%. Interval: 70077 ms.
2011-09-27 21:58:51.660 Server       Process 0:0:0 (0x18c0) Worker 0x000000000606A1A0 appears to be non-yielding on Scheduler 5. Thread creation time: 12961597452926. Approx Thread CPU Used: kernel 0 ms, user 0 ms. Process Utilization 0%. System Idle 97%. Interval: 133017 ms.
2011-09-27 21:59:51.760 Server       Process 0:0:0 (0x18c0) Worker 0x000000000606A1A0 appears to be non-yielding on Scheduler 5. Thread creation time: 12961597452926. Approx Thread CPU Used: kernel 0 ms, user 0 ms. Process Utilization 2%. System Idle 94%. Interval: 193116 ms.
2011-09-27 22:00:51.860 Server       Process 0:0:0 (0x18c0) Worker 0x000000000606A1A0 appears to be non-yielding on Scheduler 5. Thread creation time: 12961597452926. Approx Thread CPU Used: kernel 0 ms, user 0 ms. Process Utilization 3%. System Idle 93%. Interval: 253215 ms.

If you look at the Errorlog snippet above, you will notice that there are entries for the highlighted worker address are same as the one reported in the management studio output screen shot above. The time reported in the Errorlog is the server time (in my case it is UTC+5:30) where as the time stamps reported by the health session is UTC time which means that the timestamps reported also match. Using the events from the System Health Session and the Errorlog entries, I will be able to figure out when a non-yielding condition occurred on the server instance.

The non-yielding condition report is quite plain and has a table output showing the different columns returned by the query above:

image

In the last post for this series, I shall provide the set of queries that can be used to parse a deadlock graph collected by the System Health session along with the .rdl files for the custom reports used in this series.
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