Serializable, and some of the other isolation levels can have performance implications. Recently I came across a case where I needed to find queries that were being run against a SQL Server that were in Serializable mode.
set NOCOUNT ON;
SELECT
cast(CASE s.transaction_isolation_level
WHEN 0 THEN 'Unspecified'
WHEN 1 THEN 'ReadUncommitted'
WHEN 2 THEN 'ReadCommitted'
WHEN 3 THEN 'Repeatable'
WHEN 4 THEN 'Serializable'
WHEN 5 THEN 'Snapshot' END as varchar(100)) AS IsolationLevel
, DB_NAME(r.database_id) as DbName
, cast(substring(h.text, (r.statement_start_offset/2)+1 , ((case r.statement_end_offset when -1 then datalength(h.text) else r.statement_end_offset end - r.statement_start_offset)/2) + 1) as varchar(max)) as CurrentText
, s.[host_name]
, s.program_name
, s.login_name
, cast(h.text as varchar(max)) FullQuery
INTO #queryResults
from sys.dm_exec_sessions as s inner join sys.dm_exec_requests as r
on s.session_id =r.session_id and s.last_request_start_time=r.start_time
CROSS APPLY sys.dm_exec_sql_text(r.sql_handle) h
where is_user_process = 1
and s.transaction_isolation_level <> 2
and s.session_id <> @@SPID;
GO
INSERT INTO #queryResults
SELECT
CASE s.transaction_isolation_level
WHEN 0 THEN 'Unspecified'
WHEN 1 THEN 'ReadUncommitted'
WHEN 2 THEN 'ReadCommitted'
WHEN 3 THEN 'Repeatable'
WHEN 4 THEN 'Serializable'
WHEN 5 THEN 'Snapshot' END AS IsolationLevel
, DB_NAME(r.database_id) as DbName
, substring(h.text, (r.statement_start_offset/2)+1 , ((case r.statement_end_offset when -1 then datalength(h.text) else r.statement_end_offset end - r.statement_start_offset)/2) + 1) as CurrentText
, s.[host_name]
, s.program_name
, s.login_name
, h.text FullQuery
from sys.dm_exec_sessions as s inner join sys.dm_exec_requests as r
on s.session_id =r.session_id and s.last_request_start_time=r.start_time
CROSS APPLY sys.dm_exec_sql_text(r.sql_handle) h
where is_user_process = 1
and s.transaction_isolation_level <> 2
and s.session_id <> @@SPID;
waitfor delay '00:00:00.2'
GO 500
select DISTINCT *, count(*) over (partition by FullQuery, program_name, login_name, host_name) as timesRun
from #queryResults;
DROP TABLE #queryResults
The way that it works is the first section runs and creates the temp table, then the second part loops for 500 tries and fills in the temp table every time it finds something in serializable mode. At the end the results are displayed and the temp table is dropped.
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