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使用DMV和DMF分析数据库性能

2020-05-27 13:22:33
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   服务器等待的原因

  SELECT TOP 10

  [Wait type] = wait_type,

  [Wait time (s)] = wait_time_ms / 1000,

  [% waiting] = CONVERT(DECIMAL(12,2), wait_time_ms * 100.0

  / SUM(wait_time_ms) OVER())

  FROM sys.dm_os_wait_stats

  WHERE wait_type NOT LIKE %SLEEP%

  ORDER BY wait_time_ms DESC;

  读和写

  SELECT TOP 10

  [Total Reads] = SUM(total_logical_reads)

  ,[Execution count] = SUM(qs.execution_count)

  ,DatabaseName = DB_NAME(qt.dbid)

  FROM sys.dm_exec_query_stats qs

  CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) as qt

  GROUP BY DB_NAME(qt.dbid)

  ORDER BY [Total Reads] DESC;

  SELECT TOP 10

  [Total Writes] = SUM(total_logical_writes)

  ,[Execution count] = SUM(qs.execution_count)

  ,DatabaseName = DB_NAME(qt.dbid)

  FROM sys.dm_exec_query_stats qs

  CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) as qt

  GROUP BY DB_NAME(qt.dbid)

  ORDER BY [Total Writes] DESC;

  数据库缺失索引

  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;

  缺失索引列表信息

  SELECT DatabaseName = DB_NAME(database_id),* FROM sys.dm_db_missing_index_details Order BY DB_NAME(database_id)

  高开销的缺失索引

  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;

  确定开销最高的未使用索引

  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;

  确定最高开销索引所使用的脚本并显示结果。

  -- Create required table structure only.

  -- Note: this SQL must be the same as in the Database loop given in the following step.

  SELECT TOP 1

  [Maintenance cost] = (user_updates + system_updates)

  ,[Retrieval usage] = (user_seeks + user_scans + user_lookups)

  ,DatabaseName = DB_NAME()

  ,TableName = OBJECT_NAME(s.[object_id])

  ,IndexName = i.name

  INTO #TempMaintenanceCost

  FROM sys.dm_db_index_usage_stats s

  INNER JOIN sys.indexes i ON s.[object_id] = i.[object_id]

  AND s.index_id = i.index_id

  WHERE s.database_id = DB_ID()

  AND OBJECTPROPERTY(s.[object_id], IsMsShipped) = 0

  AND (user_updates + system_updates) > 0 -- Only report on active rows.

  AND s.[object_id] = -999 -- Dummy value to get table structure.

  ;

  -- Loop around all the databases on the server.

  EXEC sp_MSForEachDB USE [?];

  -- Table already exists.

  INSERT INTO #TempMaintenanceCost

  SELECT TOP 10

  [Maintenance cost] = (user_updates + system_updates)

  ,[Retrieval usage] = (user_seeks + user_scans + user_lookups)

  ,DatabaseName = DB_NAME()

  ,TableName = OBJECT_NAME(s.[object_id])

  ,IndexName = i.name

  FROM sys.dm_db_index_usage_stats s

  INNER JOIN sys.indexes i ON s.[object_id] = i.[object_id]

  AND s.index_id = i.index_id

  WHERE s.database_id = DB_ID()

  AND i.name IS NOT NULL -- Ignore HEAP indexes.

  AND OBJECTPROPERTY(s.[object_id], IsMsShipped) = 0

  AND (user_updates + system_updates) > 0 -- Only report on active rows.

  ORDER BY [Maintenance cost] DESC

  ;

  

  -- Select records.

  SELECT TOP 10 * FROM #TempMaintenanceCost

  ORDER BY [Maintenance cost] DESC

  -- Tidy up.

  DROP TABLE #TempMaintenanceCost

  显示索引已被使用的次数,并按“使用率”排序。

  -- Create required table structure only.

  -- Note: this SQL must be the same as in the Database loop given in the -- following step.

  SELECT TOP 1

  [Usage] = (user_seeks + user_scans + user_lookups)

  ,DatabaseName = DB_NAME()

  ,TableName = OBJECT_NAME(s.[object_id])

  ,IndexName = i.name

  INTO #TempUsage

  FROM sys.dm_db_index_usage_stats s

  INNER JOIN sys.indexes i ON s.[object_id] = i.[object_id]

  AND s.index_id = i.index_id

  WHERE s.database_id = DB_ID()

  AND OBJECTPROPERTY(s.[object_id], IsMsShipped) = 0

  AND (user_seeks + user_scans + user_lookups) > 0

  -- Only report on active rows.

  AND s.[object_id] = -999 -- Dummy value to get table structure.

  ;

  -- Loop around all the databases on the server.

  EXEC sp_MSForEachDB USE [?];

  -- Table already exists.

  INSERT INTO #TempUsage

  SELECT TOP 10

  [Usage] = (user_seeks + user_scans + user_lookups)

  ,DatabaseName = DB_NAME()

  ,TableName = OBJECT_NAME(s.[object_id])

  ,IndexName = i.name

  FROM sys.dm_db_index_usage_stats s

  INNER JOIN sys.indexes i ON s.[object_id] = i.[object_id]

  AND s.index_id = i.index_id

  WHERE s.database_id = DB_ID()

  AND i.name IS NOT NULL -- Ignore HEAP indexes.

  AND OBJECTPROPERTY(s.[object_id], IsMsShipped) = 0

  AND (user_seeks + user_scans + user_lookups) > 0 -- Only report on active rows.

  ORDER BY [Usage] DESC

  ;

  

  -- Select records.

  SELECT TOP 10 * FROM #TempUsage ORDER BY [Usage] DESC

  -- Tidy up.

  DROP TABLE #TempUsage

  逻辑上最零碎的索引所使用的脚本

  -- Create required table structure only.

  -- Note: this SQL must be the same as in the Database loop given in the -- following step.

  SELECT TOP 1

  DatbaseName = DB_NAME()

  ,TableName = OBJECT_NAME(s.[object_id])

  ,IndexName = i.name

  ,[Fragmentation %] = ROUND(avg_fragmentation_in_percent,2)

  INTO #TempFragmentation

  FROM sys.dm_db_index_physical_stats(db_id(),null, null, null, null) s

  INNER JOIN sys.indexes i ON s.[object_id] = i.[object_id]

  AND s.index_id = i.index_id

  WHERE s.[object_id] = -999 -- Dummy value just to get table structure.

  ;

  -- Loop around all the databases on the server.

  EXEC sp_MSForEachDB USE [?];

  -- Table already exists.

  INSERT INTO #TempFragmentation

  SELECT TOP 10

  DatbaseName = DB_NAME()

  ,TableName = OBJECT_NAME(s.[object_id])

  ,IndexName = i.name

  ,[Fragmentation %] = ROUND(avg_fragmentation_in_percent,2)

  FROM sys.dm_db_index_physical_stats(db_id(),null, null, null, null) s

  INNER JOIN sys.indexes i ON s.[object_id] = i.[object_id]

  AND s.index_id = i.index_id

  WHERE s.database_id = DB_ID()

  AND i.name IS NOT NULL -- Ignore HEAP indexes.

  AND OBJECTPROPERTY(s.[object_id], IsMsShipped) = 0

  ORDER BY [Fragmentation %] DESC

  ;

  

  -- Select records.

  SELECT TOP 10 * FROM #TempFragmentation ORDER BY [Fragmentation %] DESC

  -- Tidy up.

  DROP TABLE #TempFragmentation

  获得IO高的查询

  SELECT TOP 10

  [Average IO] = (total_logical_reads + total_logical_writes) / qs.execution_count

  ,[Total IO] = (total_logical_reads + total_logical_writes)

  ,[Execution count] = qs.execution_count

  ,[Individual Query] = SUBSTRING (qt.text,qs.statement_start_offset/2,

  (CASE WHEN qs.statement_end_offset = -1

  THEN LEN(CONVERT(NVARCHAR(MAX), qt.text)) * 2

  ELSE qs.statement_end_offset END - qs.statement_start_offset)/2)

  ,[Parent Query] = qt.text

  ,DatabaseName = DB_NAME(qt.dbid)

  FROM sys.dm_exec_query_stats qs

  CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) as qt

  ORDER BY [Average IO] DESC;

  获得I/O统计

  Select wait_type, waiting_tasks_count, wait_time_ms from sys.dm_os_wait_stats where wait_type like PAGEIOLATCH% order by wait_type

  查询当前I/O锁

  select DB_NAME(database_id), file_id, io_stall,io_pending_ms_ticks,scheduler_address from sys.dm_io_virtual_file_stats(NULL, NULL) t1,sys.dm_io_pending_io_requests as t2 where t1.file_handle = t2.io_handle

  看是那5条语句导致I/O高

  select top 5 (total_logical_reads/execution_count) as avg_logical_reads,(total_logical_writes/execution_count) as avg_logical_writes,(total_physical_reads/execution_count) as avg_phys_reads,Execution_count, statement_start_offset as stmt_start_offset, sql_handle, plan_handle from sys.dm_exec_query_stats order by (total_logical_reads + total_logical_writes) Desc

  根据句柄得到语句

  select text from sys.dm_exec_sql_text(0x03000E00D4AB884E808214016B9A00000100000000000000)

  查询可以确定按 CPU 使用率衡量的、开销最高的查询

  SELECT TOP 10

  [Average CPU used] = total_worker_time / qs.execution_count

  ,[Total CPU used] = total_worker_time

  ,[Execution count] = qs.execution_count

  ,[Individual Query] = SUBSTRING (qt.text,qs.statement_start_offset/2,

  (CASE WHEN qs.statement_end_offset = -1

  THEN LEN(CONVERT(NVARCHAR(MAX), qt.text)) * 2

  ELSE qs.statement_end_offset END -

  qs.statement_start_offset)/2)

  ,[Parent Query] = qt.text

  ,DatabaseName = DB_NAME(qt.dbid)

  FROM sys.dm_exec_query_stats qs

  CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) as qt

  ORDER BY [Average CPU used] DESC;

  高开销的 CLR 查询

  SELECT TOP 10

  [Average CLR Time] = total_clr_time / execution_count

  ,[Total CLR Time] = total_clr_time

  ,[Execution count] = qs.execution_count

  ,[Individual Query] = SUBSTRING (qt.text,qs.statement_start_offset/2,

  (CASE WHEN qs.statement_end_offset = -1

  THEN LEN(CONVERT(NVARCHAR(MAX), qt.text)) * 2

  ELSE qs.statement_end_offset END - qs.statement_start_offset)/2)

  ,[Parent Query] = qt.text

  ,DatabaseName = DB_NAME(qt.dbid)

  FROM sys.dm_exec_query_stats as qs

  CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) as qt

  WHERE total_clr_time <> 0

  ORDER BY [Average CLR Time] DESC;

  最常执行的查询

  SELECT TOP 10

  [Execution count] = execution_count

  ,[Individual Query] = SUBSTRING (qt.text,qs.statement_start_offset/2,

  (CASE WHEN qs.statement_end_offset = -1

  THEN LEN(CONVERT(NVARCHAR(MAX), qt.text)) * 2

  ELSE qs.statement_end_offset END - qs.statement_start_offset)/2)

  ,[Parent Query] = qt.text

  ,DatabaseName = DB_NAME(qt.dbid)

  FROM sys.dm_exec_query_stats qs

  CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) as qt

  ORDER BY [Execution count] DESC;

  受阻塞影响的查询

  SELECT TOP 10

  [Average Time Blocked] = (total_elapsed_time - total_worker_time) / qs.execution_count

  ,[Total Time Blocked] = total_elapsed_time - total_worker_time

  ,[Execution count] = qs.execution_count

  ,[Individual Query] = SUBSTRING (qt.text,qs.statement_start_offset/2,

  (CASE WHEN qs.statement_end_offset = -1

  THEN LEN(CONVERT(NVARCHAR(MAX), qt.text)) * 2

  ELSE qs.statement_end_offset END - qs.statement_start_offset)/2)

  ,[Parent Query] = qt.text

  ,DatabaseName = DB_NAME(qt.dbid)

  FROM sys.dm_exec_query_stats qs

  CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) as qt

  ORDER BY [Average Time Blocked] DESC;

  最低计划重用率

  SELECT TOP 100

  [Plan usage] = cp.usecounts

  ,[Individual Query] = SUBSTRING (qt.text,qs.statement_start_offset/2,

  (CASE WHEN qs.statement_end_offset = -1

  THEN LEN(CONVERT(NVARCHAR(MAX),

  qt.text)) * 2 ELSE qs.statement_end_offset END -

  qs.statement_start_offset)/2)

  ,[Parent Query] = qt.text

  ,DatabaseName = DB_NAME(qt.dbid)

  ,cp.cacheobjtype

  FROM sys.dm_exec_query_stats qs

  CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS qt

  INNER JOIN sys.dm_exec_cached_plans as cp on qs.plan_handle=cp.plan_handle

  WHERE cp.plan_handle=qs.plan_handle

  ORDER BY [Plan usage] ASC;

  数据库连接情况

  SELECT session_id,connect_time,endpoint_id,auth_scheme,num_reads,num_writes,client_net_address,connection_id from sys.dm_exec_connections order by client_net_address

  查询优化器信息

  select * from sys.dm_exec_query_optimizer_info

  当前执行请求

  select * from sys.dm_exec_requests

  当前执行session

  select * from sys.dm_exec_sessions

  所有的调度器并产看等待运行的任务数量

  select

  scheduler_id,

  current_tasks_count,

  runnable_tasks_count

  from

  sys.dm_os_schedulers

  where

  scheduler_id < 255

  所有的调度器并产看等待运行的任务数量

  select

  *

  from

  sys.dm_os_schedulers

  where

  scheduler_id < 255

  整个CPU使用中最占用资源的查询

  select top 50

  sum(qs.total_worker_time) as total_cpu_time,

  sum(qs.execution_count) as total_execution_count,

  count(*) as number_of_statements,

  qs.plan_handle

  from

  sys.dm_exec_query_stats qs

  group by qs.plan_handle

  order by sum(qs.total_worker_time) desc

  所有的调度器并产看等待运行的任务数量

  select

  scheduler_id,

  current_tasks_count,

  runnable_tasks_count

  from

  sys.dm_os_schedulers

  where

  scheduler_id < 255

  所有的调度器并产看等待运行的任务数量

  select

  *

  from

  sys.dm_os_schedulers

  where

  scheduler_id < 255

  整个CPU使用中最占用资源的查询

  select top 50

  sum(qs.total_worker_time) as total_cpu_time,

  sum(qs.execution_count) as total_execution_count,

  count(*) as number_of_statements,

  qs.plan_handle

  from

  sys.dm_exec_query_stats qs

  group by qs.plan_handle

  order by sum(qs.total_worker_time) desc

  得到在给定的时间段内花费在查询优化的时间

  select * from sys.dm_exec_query_optimizer_info

  重编译次数最多的25个存储过程

  select top 25

  sql_text.text,

  sql_handle,

  plan_generation_num,

  execution_count,

  dbid,

  objectid

  from

  sys.dm_exec_query_stats a

  cross apply sys.dm_exec_sql_text(sql_handle) as sql_text

  where

  plan_generation_num >1

  order by plan_generation_num desc

  累计使用cpu最多的查询

  select

  highest_cpu_queries.plan_handle,

  highest_cpu_queries.total_worker_time,

  q.dbid,

  q.objectid,

  q.number,

  q.encrypted,

  q.[text]

  from

  (select top 50

  qs.plan_handle,

  qs.total_worker_time

  from

  sys.dm_exec_query_stats qs

  order by qs.total_worker_time desc) as highest_cpu_queries

  cross apply sys.dm_exec_sql_text(plan_handle) as q

  order by highest_cpu_queries.total_worker_time desc

  清空统计项的方法

  checkpoint 检查点

  dbcc freeproccache 释放缓存,小心

  dbcc dropcleanbuffers 清空缓存,小心

  DBCC SQLPERF (sys.dm_os_wait_stats, CLEAR); 清空某一项

  GO

  综合分析:

  SELECT top 50 DB_ID(DB.dbid) 数据库名

  , OBJECT_ID(db.objectid) 对象

  , QS.creation_time 编译计划的时间

  , QS.last_execution_time 上次执行计划的时间

  , QS.execution_count 执行的次数

  , QS.total_elapsed_time / 1000 占用的总时间(秒)

  , QS.total_physical_reads 物理读取总次数

  , QS.total_worker_time / 1000 CPU 时间总量(秒)

  , QS.total_logical_writes 逻辑写入总次数

  , QS.total_logical_reads N逻辑读取总次数

  , QS.total_elapsed_time / 1000 N总花费时间(秒)

  , 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 执行语句,

  [Parent Query] = st.text

  FROM sys.dm_exec_query_stats AS QS CROSS APPLY

  sys.dm_exec_sql_text(QS.sql_handle) AS ST INNER JOIN

  ( SELECT *

  FROM sys.dm_exec_cached_plans cp CROSS APPLY

  sys.dm_exec_query_plan(cp.plan_handle)

  ) DB

  ON QS.plan_handle = DB.plan_handle

  where 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) not like %fetch%

  ORDER BY QS.total_elapsed_time / 1000 DESC

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