SqlServer 执行过的Sql语句查询

可以查询一段时间内执行过的Sql语句，进行Cpu占用分析，执行时间分析等，优化慢查询语句，相应的增加索引，优化Sql语句以及表库结构

SELECT TOP 30000
    total_worker_time/1000 AS [总消耗CPU 时间(ms)],
    execution_count [运行次数],
    qs.total_worker_time/qs.execution_count/1000 AS [平均消耗CPU 时间(ms)],
    last_execution_time AS [最后一次执行时间],
    min_worker_time /1000 AS [最小执行时间(ms)],
    max_worker_time /1000 AS [最大执行时间(ms)],
    
    SUBSTRING(qt.text,qs.statement_start_offset/2+1,
        (CASE WHEN qs.statement_end_offset = -1
        THEN DATALENGTH(qt.text)
        ELSE qs.statement_end_offset END -qs.statement_start_offset)/2 + 1)
    AS [使用CPU的语法], qt.text [完整语法],
    qt.dbid, dbname=db_name(qt.dbid),
    qt.objectid,object_name(qt.objectid,qt.dbid) ObjectName
FROM sys.dm_exec_query_stats qs WITH(nolock)
CROSS apply sys.dm_exec_sql_text(qs.sql_handle) AS qt
WHERE  execution_count>1 and qs.creation_time BETWEEN '2017-11-13 20:10:00' AND '2017-11-13 20:15:00' 
ORDER BY (qs.total_worker_time/qs.execution_count/1000) DESC

SELECT TOP 1000 
       ST.text AS '执行的SQL语句',
       QS.execution_count AS '执行次数',
       QS.total_elapsed_time AS '耗时',
       QS.total_logical_reads AS '逻辑读取次数',
       QS.total_logical_writes AS '逻辑写入次数',
       QS.total_physical_reads AS '物理读取次数',       
       QS.creation_time AS '执行时间' ,  
       QS.*
FROM   sys.dm_exec_query_stats QS
       CROSS APPLY 
sys.dm_exec_sql_text(QS.sql_handle) ST
WHERE  QS.creation_time BETWEEN '2015-08-01 00:00:00' AND '2015-09-02 11:00:00' 
ORDER BY
     QS.total_elapsed_time DESC