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常用傻瓜式SQL Server語句,優化資料庫

基本都是網路收集來的,有些挺好用,例如查詢是否缺索引的語句。

 

查找出什麼語句佔記憶體最高,針對佔記憶體高的語句進行優化

SELECT SS.SUM_EXECUTION_COUNT,

T.TEXT,

SS.SUM_TOTAL_ELAPSED_TIME,

SS.SUM_TOTAL_WORKER_TIME,

SS.SUM_TOTAL_LOGICAL_READS,

SS.SUM_TOTAL_LOGICAL_WRITES

FROM (SELECT S.PLAN_HANDLE,

SUM(S.EXECUTION_COUNT)SUM_EXECUTION_COUNT,

SUM(S.TOTAL_ELAPSED_TIME)SUM_TOTAL_ELAPSED_TIME,

SUM(S.TOTAL_WORKER_TIME)SUM_TOTAL_WORKER_TIME,

SUM(S.TOTAL_LOGICAL_READS)SUM_TOTAL_LOGICAL_READS,

SUM(S.TOTAL_LOGICAL_WRITES)SUM_TOTAL_LOGICAL_WRITES

FROM SYS.DM_EXEC_QUERY_STATS S

GROUP BY S.PLAN_HANDLE

) AS SS

CROSS APPLY SYS.dm_exec_sql_text(SS.PLAN_HANDLE)T

ORDER BY SUM_TOTAL_LOGICAL_READS DESC

 

  • 選取前10個最耗CPU時間的會話

SELECT TOP 10

[session_id],

[request_id],

[start_time] AS '開始時間',

[status] AS '狀態',

[command] AS '命令',

dest.[text] AS 'sql語句',

DB_NAME([database_id]) AS '資料庫名',

[blocking_session_id] AS '正在阻塞其他會話的會話ID',

[wait_type] AS '等待資源型別',

[wait_time] AS '等待時間',

[wait_resource] AS '等待的資源',

[reads] AS '物理讀次數',

[writes] AS '寫次數',

[logical_reads] AS '邏輯讀次數',

[row_count] AS '返回結果行數'

FROM sys.[dm_exec_requests] AS der

CROSS APPLY

sys.[dm_exec_sql_text](der.[sql_handle]) AS dest

WHERE [session_id]>50 AND DB_NAME(der.[database_id])='gposdb'

ORDER BY [cpu_time] DESC

 

  • 執行下面語句就會顯示出會話中有多少個worker在等待

SELECT TOP 10

[session_id],

[request_id],

[start_time] AS '開始時間',

[status] AS '狀態',

[command] AS '命令',

dest.[text] AS 'sql語句',

DB_NAME([database_id]) AS '資料庫名',

[blocking_session_id] AS '正在阻塞其他會話的會話ID',

der.[wait_type] AS '等待資源型別',

[wait_time] AS '等待時間',

[wait_resource] AS '等待的資源',

[dows].[waiting_tasks_count] AS '當前正在進行等待的任務數',

[reads] AS '物理讀次數',

[writes] AS '寫次數',

[logical_reads] AS '邏輯讀次數',

[row_count] AS '返回結果行數'

FROM sys.[dm_exec_requests] AS der

INNER JOIN [sys].[dm_os_wait_stats] AS dows

ON der.[wait_type]=[dows].[wait_type]

CROSS APPLY

sys.[dm_exec_sql_text](der.[sql_handle]) AS dest

WHERE [session_id]>50

ORDER BY [cpu_time] DESC

  • 查詢CPU佔用高的語句

SELECT TOP 10

total_worker_time/execution_count AS avg_cpu_cost, plan_handle,

execution_count,

(SELECT SUBSTRING(text, statement_start_offset/2 + 1,

(CASE WHEN statement_end_offset = -1

THEN LEN(CONVERT(nvarchar(max), text)) * 2

ELSE statement_end_offset

END - statement_start_offset)/2)

FROM sys.dm_exec_sql_text(sql_handle)) AS query_text

FROM sys.dm_exec_query_stats

ORDER BY [avg_cpu_cost] DESC

 

  • 查詢缺失索引

SELECT

DatabaseName = DB_NAME(database_id)

,[Number Indexes Missing] = count(*)

FROM sys.dm_db_missing_index_details

GROUP BY DB_NAME(database_id)

ORDER BY 2 DESC;

  • 查詢缺失索引詳細語句

SELECT TOP 10

[Total Cost] = ROUND(avg_total_user_cost * avg_user_impact * (user_seeks + user_scans),0)

, avg_user_impact

, TableName = statement

, [EqualityUsage] = equality_columns

, [InequalityUsage] = inequality_columns

, [Include Cloumns] = included_columns

FROM sys.dm_db_missing_index_groups g

INNER JOIN sys.dm_db_missing_index_group_stats s

ON s.group_handle = g.index_group_handle

INNER JOIN sys.dm_db_missing_index_details d

ON d.index_handle = g.index_handle

ORDER BY [Total Cost] DESC;