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현업에서 작업을 하다보면, 특히 이벤트가 있어서 접속자수가 급격히 증가하면 서버 과부하가 생겨 곤란한 경우
아래 쿼리를 돌려보면 최근 실행된 쿼리 중 실행속도가 느린 쿼리를 확인할 수 있다.
SELECT TOP 100
[Object_Name] = object_name(st.objectid),
creation_time,
last_execution_time,
total_cpu_time = total_worker_time / 1000,
avg_cpu_time = (total_worker_time / execution_count) / 1000,
min_cpu_time = min_worker_time / 1000,
max_cpu_time = max_worker_time / 1000,
last_cpu_time = last_worker_time / 1000,
total_time_elapsed = total_elapsed_time / 1000 ,
avg_time_elapsed = (total_elapsed_time / execution_count) / 1000,
min_time_elapsed = min_elapsed_time / 1000,
max_time_elapsed = max_elapsed_time / 1000,
avg_physical_reads = total_physical_reads / execution_count,
avg_logical_reads = total_logical_reads / execution_count,
execution_count,
SUBSTRING(st.text, (qs.statement_start_offset/2) + 1,
(
(
CASE statement_end_offset
WHEN -1 THEN DATALENGTH(st.text)
ELSE qs.statement_end_offset
END
- qs.statement_start_offset
) /2
) + 1
) as statement_text
FROM sys.dm_exec_query_stats qs
CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) st
----WHERE Object_Name(st.objectid) IS NOT NULL
----AND st.dbid = DB_ID()
ORDER BY total_worker_time / execution_count DESC
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