I’ve recently been creating some content about wait stats analysis and I think it would be really interesting to see what kind of waits people are seeing out there in the wild. Hopefully it’ll also introduce a bunch of people to the waits-and-queues performance troubleshooting methodology and how it can be really useful to them.
[Edit: comments are closed on this post as I have all the info I need – thanks!]
Here’s what I’d like you to do:
Run the T-SQL query from the end of this post. It’s completely benign and only reports on statistics that SQL Server is already gathering. It will not cause any perf issues on your production systems.
Look at the output – it’ll be something like (from random anonymous client system):
Look at the top WaitType and fill in the simple survey below. If your top wait isn’t listed, click on Other and cut-and-paste the top WaitType into the box provided.
The free survey system only allows a single vote per IP address – if you have any other results, send them in email (mailto:paul@SQLskills.com?Subject=Wait stats) or attach a comment below.
In a week or two I’ll report on the results. It would be great to get a few hundred responses.
T-SQL code to run (works on 2005 onwards):
WITH Waits AS
wait_time_ms / 1000.0 AS WaitS,
(wait_time_ms – signal_wait_time_ms) / 1000.0 AS ResourceS,
signal_wait_time_ms / 1000.0 AS SignalS,
waiting_tasks_count AS WaitCount,
100.0 * wait_time_ms / SUM (wait_time_ms) OVER() AS Percentage,
ROW_NUMBER() OVER(ORDER BY wait_time_ms DESC) AS RowNum
WHERE wait_type NOT IN (
‘CLR_SEMAPHORE’, ‘LAZYWRITER_SLEEP’, ‘RESOURCE_QUEUE’, ‘SLEEP_TASK’,
‘SLEEP_SYSTEMTASK’, ‘SQLTRACE_BUFFER_FLUSH’, ‘WAITFOR’, ‘LOGMGR_QUEUE’,
‘CHECKPOINT_QUEUE’, ‘REQUEST_FOR_DEADLOCK_SEARCH’, ‘XE_TIMER_EVENT’, ‘BROKER_TO_FLUSH’,
‘BROKER_TASK_STOP’, ‘CLR_MANUAL_EVENT’, ‘CLR_AUTO_EVENT’, ‘DISPATCHER_QUEUE_SEMAPHORE’,
‘FT_IFTS_SCHEDULER_IDLE_WAIT’, ‘XE_DISPATCHER_WAIT’, ‘XE_DISPATCHER_JOIN’, ‘BROKER_EVENTHANDLER’,
‘TRACEWRITE’, ‘FT_IFTSHC_MUTEX’, ‘SQLTRACE_INCREMENTAL_FLUSH_SLEEP’)
W1.wait_type AS WaitType,
CAST (W1.WaitS AS DECIMAL(14, 2)) AS Wait_S,
CAST (W1.ResourceS AS DECIMAL(14, 2)) AS Resource_S,
CAST (W1.SignalS AS DECIMAL(14, 2)) AS Signal_S,
W1.WaitCount AS WaitCount,
CAST (W1.Percentage AS DECIMAL(4, 2)) AS Percentage
FROM Waits AS W1
INNER JOIN Waits AS W2
ON W2.RowNum <= W1.RowNum
GROUP BY W1.RowNum, W1.wait_type, W1.WaitS, W1.ResourceS, W1.SignalS, W1.WaitCount, W1.Percentage
HAVING SUM (W2.Percentage) – W1.Percentage < 95; — percentage threshold