人人都是 DBA(X)资源信息收集脚本汇编 - Dennis Gao

标签: 人人 dba 资源 | 发表时间:2014-12-10 12:31 | 作者:Dennis Gao
出处:

什么?有个 SQL 执行了 8 秒!

哪里出了问题?臣妾不知道啊,得找 DBA 啊。

DBA 人呢?离职了!!擦!!!

程序员在无处寻求帮助时,就得想办法自救,努力让自己变成 "伪 DBA"。

索引

  1. 获取数据库的 CPU 使用率
  2. 过去一段时间里 CPU 利用率的历史情况
  3. 谁用 CPU 工作的时间最长
  4. 服务器上安装了多大的 Memory
  5. SQL Server 进程用了多少 Memory
  6. 是否申请新的 Memory 无法得到
  7. SQL Server 的最大最小 Memory 配置
  8. 通过 Signal Wait 判断是否 CPU 压力过大
  9. 获取数据库的 Buffer 使用率
  10. 查看哪张表占用的 Buffer 最多
  11. 查看 Memory Clerks 使用情况
  12. 查看 Memory 分配状况
  13. 查询 SQL Server 内存承担的压力
  14. 查询 SQL Server 性能计数器
  15. 查询当前的 Batch Requests 计数

获取数据库的 CPU 使用率

WITH DB_CPU_Stats
AS (
SELECT DatabaseID
,DB_Name(DatabaseID) AS [Database Name]
,SUM(total_worker_time) AS [CPU_Time_Ms]
FROM sys.dm_exec_query_stats AS qs
CROSS APPLY (
SELECT CONVERT(INT, value) AS [DatabaseID]
FROM sys.dm_exec_plan_attributes(qs.plan_handle)
WHERE attribute = N'dbid'
) AS F_DB
GROUP BY DatabaseID
)
SELECT ROW_NUMBER() OVER (
ORDER BY [CPU_Time_Ms] DESC
) AS [CPU Rank]
,[Database Name]
,[CPU_Time_Ms] AS [CPU Time (ms)]
,CAST([CPU_Time_Ms] * 1.0 / SUM([CPU_Time_Ms]) OVER () * 100.0 AS DECIMAL(5, 2)) AS [CPU Percent]
FROM DB_CPU_Stats
WHERE DatabaseID <> 32767 -- ResourceDB
ORDER BY [CPU Rank]
OPTION (RECOMPILE);

过去一段时间里 CPU 利用率的历史情况

DECLARE @ts_now BIGINT = (
SELECT cpu_ticks / (cpu_ticks / ms_ticks)
FROM sys.dm_os_sys_info WITH (NOLOCK)
);

SELECT TOP (256) SQLProcessUtilization AS [SQL Server Process CPU Utilization]
,SystemIdle AS [System Idle Process]
,100 - SystemIdle - SQLProcessUtilization AS [Other Process CPU Utilization]
,DATEADD(ms, - 1 * (@ts_now - [timestamp]), GETDATE()) AS [Event Time]
FROM (
SELECT record.value('(./Record/@id)[1]', 'int') AS record_id
,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/SystemIdle)[1]', 'int') AS [SystemIdle]
,record.value('(./Record/SchedulerMonitorEvent/SystemHealth/ProcessUtilization)[1]', 'int') AS [SQLProcessUtilization]
,[timestamp]
FROM (
SELECT [timestamp]
,CONVERT(XML, record) AS [record]
FROM sys.dm_os_ring_buffers WITH (NOLOCK)
WHERE ring_buffer_type = N'RING_BUFFER_SCHEDULER_MONITOR'
AND record LIKE N'%<SystemHealth>%'
) AS x
) AS y
ORDER BY record_id DESC
OPTION (RECOMPILE);

可以查看那个时间点的 CPU 利用率较高。

谁用 CPU 工作的时间最长

SELECT TOP (50) DB_NAME(t.[dbid]) AS [Database Name]
,t.[text] AS [Query Text]
,qs.total_worker_time AS [Total Worker Time]
,qs.min_worker_time AS [Min Worker Time]
,qs.total_worker_time / qs.execution_count AS [Avg Worker Time]
,qs.max_worker_time AS [Max Worker Time]
,qs.execution_count AS [Execution Count]
,qs.total_elapsed_time / qs.execution_count AS [Avg Elapsed Time]
,qs.total_logical_reads / qs.execution_count AS [Avg Logical Reads]
,qs.total_physical_reads / qs.execution_count AS [Avg Physical Reads]
,qp.query_plan AS [Query Plan]
,qs.creation_time AS [Creation Time]
FROM sys.dm_exec_query_stats AS qs WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(plan_handle) AS t
CROSS APPLY sys.dm_exec_query_plan(plan_handle) AS qp
ORDER BY qs.total_worker_time DESC
OPTION (RECOMPILE);

或许能找到哪个 SQL 语句占用了最多的 CPU 资源。

服务器上安装了多大的 Memory

SELECT total_physical_memory_kb / 1024 AS [Physical Memory (MB)]
,available_physical_memory_kb / 1024 AS [Available Memory (MB)]
,total_page_file_kb / 1024 AS [Total Page File (MB)]
,available_page_file_kb / 1024 AS [Available Page File (MB)]
,system_cache_kb / 1024 AS [System Cache (MB)]
,system_memory_state_desc AS [System Memory State]
FROM sys.dm_os_sys_memory WITH (NOLOCK)
OPTION (RECOMPILE);

SQL Server 进程用了多少 Memory

SELECT physical_memory_in_use_kb / 1024 AS [SQL Server Memory Usage (MB)]
,large_page_allocations_kb
,locked_page_allocations_kb
,page_fault_count
,memory_utilization_percentage
,available_commit_limit_kb
,process_physical_memory_low
,process_virtual_memory_low
FROM sys.dm_os_process_memory WITH (NOLOCK)
OPTION (RECOMPILE);

是否申请新的 Memory 无法得到

SELECT @@SERVERNAME AS [Server Name]
,[object_name]
,cntr_value AS [Memory Grants Pending]
FROM sys.dm_os_performance_counters WITH (NOLOCK)
WHERE [object_name] LIKE N'%Memory Manager%' -- Handles named instances
AND counter_name = N'Memory Grants Pending'
OPTION (RECOMPILE);

如果 Memory Grants Pending 的值一直大于 0,则明确的说明 Memory 存在压力。

SQL Server 的最大最小 Memory 配置

SELECT [name] AS [Name]
,[configuration_id] AS [Number]
,[minimum] AS [Minimum]
,[maximum] AS [Maximum]
,[is_dynamic] AS [Dynamic]
,[is_advanced] AS [Advanced]
,[value] AS [ConfigValue]
,[value_in_use] AS [RunValue]
,[description] AS [Description]
FROM [master].[sys].[configurations]
WHERE NAME IN (
'Min server memory (MB)'
,'Max server memory (MB)'
);

SELECT *
FROM sys.configurations
WHERE configuration_id IN (
'1543'
,'1544'
)

通过 Signal Wait 判断是否 CPU 压力过大

SELECT CAST(100.0 * SUM(signal_wait_time_ms) / SUM(wait_time_ms) AS NUMERIC(20, 2)) AS [% Signal (CPU) Waits]
,CAST(100.0 * SUM(wait_time_ms - signal_wait_time_ms) / SUM(wait_time_ms) AS NUMERIC(20, 2)) AS [% Resource Waits]
FROM sys.dm_os_wait_stats WITH (NOLOCK)
WHERE wait_type NOT IN (
N'BROKER_EVENTHANDLER'
,N'BROKER_RECEIVE_WAITFOR'
,N'BROKER_TASK_STOP'
,N'BROKER_TO_FLUSH'
,N'BROKER_TRANSMITTER'
,N'CHECKPOINT_QUEUE'
,N'CHKPT'
,N'CLR_AUTO_EVENT'
,N'CLR_MANUAL_EVENT'
,N'CLR_SEMAPHORE'
,N'DBMIRROR_DBM_EVENT'
,N'DBMIRROR_EVENTS_QUEUE'
,N'DBMIRROR_WORKER_QUEUE'
,N'DBMIRRORING_CMD'
,N'DIRTY_PAGE_POLL'
,N'DISPATCHER_QUEUE_SEMAPHORE'
,N'EXECSYNC'
,N'FSAGENT'
,N'FT_IFTS_SCHEDULER_IDLE_WAIT'
,N'FT_IFTSHC_MUTEX'
,N'HADR_CLUSAPI_CALL'
,N'HADR_FILESTREAM_IOMGR_IOCOMPLETION'
,N'HADR_LOGCAPTURE_WAIT'
,N'HADR_NOTIFICATION_DEQUEUE'
,N'HADR_TIMER_TASK'
,N'HADR_WORK_QUEUE'
,N'KSOURCE_WAKEUP'
,N'LAZYWRITER_SLEEP'
,N'LOGMGR_QUEUE'
,N'ONDEMAND_TASK_QUEUE'
,N'PWAIT_ALL_COMPONENTS_INITIALIZED'
,N'QDS_PERSIST_TASK_MAIN_LOOP_SLEEP'
,N'QDS_CLEANUP_STALE_QUERIES_TASK_MAIN_LOOP_SLEEP'
,N'REQUEST_FOR_DEADLOCK_SEARCH'
,N'RESOURCE_QUEUE'
,N'SERVER_IDLE_CHECK'
,N'SLEEP_BPOOL_FLUSH'
,N'SLEEP_DBSTARTUP'
,N'SLEEP_DCOMSTARTUP'
,N'SLEEP_MASTERDBREADY'
,N'SLEEP_MASTERMDREADY'
,N'SLEEP_MASTERUPGRADED'
,N'SLEEP_MSDBSTARTUP'
,N'SLEEP_SYSTEMTASK'
,N'SLEEP_TASK'
,N'SLEEP_TEMPDBSTARTUP'
,N'SNI_HTTP_ACCEPT'
,N'SP_SERVER_DIAGNOSTICS_SLEEP'
,N'SQLTRACE_BUFFER_FLUSH'
,N'SQLTRACE_INCREMENTAL_FLUSH_SLEEP'
,N'SQLTRACE_WAIT_ENTRIES'
,N'WAIT_FOR_RESULTS'
,N'WAITFOR'
,N'WAITFOR_TASKSHUTDOWN'
,N'WAIT_XTP_HOST_WAIT'
,N'WAIT_XTP_OFFLINE_CKPT_NEW_LOG'
,N'WAIT_XTP_CKPT_CLOSE'
,N'XE_DISPATCHER_JOIN'
,N'XE_DISPATCHER_WAIT'
,N'XE_TIMER_EVENT'
)
OPTION (RECOMPILE);

通常,如果 Signal Waits 超过 10-15%,则说明 CPU 压力过大。

获取数据库的 Buffer 使用率

WITH AggregateBufferPoolUsage
AS (
SELECT DB_NAME(database_id) AS [Database Name]
,CAST(COUNT(*) * 8 / 1024.0 AS DECIMAL(10, 2)) AS [CachedSize]
FROM sys.dm_os_buffer_descriptors WITH (NOLOCK)
WHERE database_id <> 32767 -- ResourceDB
GROUP BY DB_NAME(database_id)
)
SELECT ROW_NUMBER() OVER (
ORDER BY CachedSize DESC
) AS [Buffer Pool Rank]
,[Database Name]
,CachedSize AS [Cached Size (MB)]
,CAST(CachedSize / SUM(CachedSize) OVER () * 100.0 AS DECIMAL(5, 2)) AS [Buffer Pool Percent]
FROM AggregateBufferPoolUsage
ORDER BY [Buffer Pool Rank]
OPTION (RECOMPILE);

参考资料:

查看哪张表占用的 Buffer 最多

SELECT OBJECT_NAME(p.[object_id]) AS [Object Name]
,p.index_id
,CAST(COUNT(*) / 128.0 AS DECIMAL(10, 2)) AS [Buffer size(MB)]
,COUNT(*) AS [BufferCount]
,p.[Rows] AS [Row Count]
,p.data_compression_desc AS [Compression Type]
FROM sys.allocation_units AS a WITH (NOLOCK)
INNER JOIN sys.dm_os_buffer_descriptors AS b WITH (NOLOCK) ON a.allocation_unit_id = b.allocation_unit_id
INNER JOIN sys.partitions AS p WITH (NOLOCK) ON a.container_id = p.hobt_id
WHERE b.database_id = CONVERT(INT, DB_ID())
AND p.[object_id] > 100
GROUP BY p.[object_id]
,p.index_id
,p.data_compression_desc
,p.[Rows]
ORDER BY [BufferCount] DESC
OPTION (RECOMPILE);

可以判断哪张表或索引占用的 Buffer 也就是 Memory 最多,可以考虑应用不同的 Compression Type。

参考资料:

查看 Memory Clerks 使用情况

SQL Server 2012 版本

SELECT TOP (10) mc.[type] AS [Memory Clerk Type]
,CAST((SUM(mc.pages_kb) / 1024.0) AS DECIMAL(15, 2)) AS [Memory Usage (MB)]
FROM sys.dm_os_memory_clerks AS mc WITH (NOLOCK)
GROUP BY mc.[type]
ORDER BY SUM(mc.pages_kb) DESC
OPTION (RECOMPILE);

SQL Server 2008 版本

SELECT TOP (10) [type] AS [Memory Clerk Type]
,SUM(single_pages_kb) / 1024 AS [SPA Memory Usage (MB)]
FROM sys.dm_os_memory_clerks WITH (NOLOCK)
GROUP BY [type]
ORDER BY SUM(single_pages_kb) DESC
OPTION (RECOMPILE);

参考资料:

查看 Memory 分配状况

可以直接运行:

DBCC MEMORYSTATUS();

查看 Memory 各项指标的细节。

DECLARE @MemStat TABLE (
ValueName SYSNAME
,Val BIGINT
);

INSERT INTO @MemStat
EXEC ('DBCC MEMORYSTATUS() WITH TABLERESULTS');

WITH Measures
AS (
SELECT TOP 2 CurrentValue
,ROW_NUMBER() OVER (
ORDER BY OrderColumn
) AS RowOrder
FROM (
SELECT CASE
WHEN (ms.ValueName = 'Target Committed')
THEN ms.Val
WHEN (ms.ValueName = 'Current Committed')
THEN ms.Val
END AS 'CurrentValue'
,0 AS 'OrderColumn'
FROM @MemStat AS ms
) AS MemStatus
WHERE CurrentValue IS NOT NULL
)
SELECT TargetMem.CurrentValue - CurrentMem.CurrentValue
FROM Measures AS TargetMem
JOIN Measures AS CurrentMem ON TargetMem.RowOrder + 1 = CurrentMem.RowOrder;

参考资料:

查询 SQL Server 内存承担的压力

SELECT record_id
,dateadd(ms, (y.[timestamp] - tme.ms_ticks), GETDATE()) AS [Notification_Time]
,Notification
FROM (
SELECT record.value('(./Record/@id)[1]', 'int') AS record_id
,record.value('(./Record/ResourceMonitor/Notification)[1]', 'varchar(50)') AS Notification
,TIMESTAMP
FROM (
SELECT TIMESTAMP
,CONVERT(XML, record) AS record
FROM sys.dm_os_ring_buffers
WHERE ring_buffer_type = N'RING_BUFFER_RESOURCE_MONITOR'
) AS x
) AS y
CROSS JOIN sys.dm_os_sys_info tme
ORDER BY record_id DESC;

SELECT dateadd(ms, (rbf.[timestamp] - tme.ms_ticks), GETDATE()) AS [Notification_Time]
,cast(record AS XML).value('(//Record/ResourceMonitor/Notification)[1]', 'varchar(30)') AS [Notification_type]
,cast(record AS XML).value('(//Record/MemoryRecord/MemoryUtilization)[1]', 'bigint') AS [MemoryUtilization %]
,cast(record AS XML).value('(//Record/MemoryNode/@id)[1]', 'bigint') AS [Node Id]
,cast(record AS XML).value('(//Record/ResourceMonitor/IndicatorsProcess)[1]', 'int') AS [Process_Indicator]
,cast(record AS XML).value('(//Record/ResourceMonitor/IndicatorsSystem)[1]', 'int') AS [System_Indicator]
,cast(record AS XML).value('(//Record/MemoryNode/ReservedMemory)[1]', 'bigint') AS [SQL_ReservedMemory_KB]
,cast(record AS XML).value('(//Record/MemoryNode/CommittedMemory)[1]', 'bigint') AS [SQL_CommittedMemory_KB]
,cast(record AS XML).value('(//Record/MemoryNode/AWEMemory)[1]', 'bigint') AS [SQL_AWEMemory]
,cast(record AS XML).value('(//Record/MemoryNode/SinglePagesMemory)[1]', 'bigint') AS [SinglePagesMemory]
,cast(record AS XML).value('(//Record/MemoryNode/MultiplePagesMemory)[1]', 'bigint') AS [MultiplePagesMemory]
,cast(record AS XML).value('(//Record/MemoryRecord/TotalPhysicalMemory)[1]', 'bigint') AS [TotalPhysicalMemory_KB]
,cast(record AS XML).value('(//Record/MemoryRecord/AvailablePhysicalMemory)[1]', 'bigint') AS [AvailablePhysicalMemory_KB]
,cast(record AS XML).value('(//Record/MemoryRecord/TotalPageFile)[1]', 'bigint') AS [TotalPageFile_KB]
,cast(record AS XML).value('(//Record/MemoryRecord/AvailablePageFile)[1]', 'bigint') AS [AvailablePageFile_KB]
,cast(record AS XML).value('(//Record/MemoryRecord/TotalVirtualAddressSpace)[1]', 'bigint') AS [TotalVirtualAddressSpace_KB]
,cast(record AS XML).value('(//Record/MemoryRecord/AvailableVirtualAddressSpace)[1]', 'bigint') AS [AvailableVirtualAddressSpace_KB]
,cast(record AS XML).value('(//Record/@id)[1]', 'bigint') AS [Record Id]
,cast(record AS XML).value('(//Record/@type)[1]', 'varchar(30)') AS [Type]
FROM sys.dm_os_ring_buffers rbf
CROSS JOIN sys.dm_os_sys_info tme
WHERE rbf.ring_buffer_type = 'RING_BUFFER_RESOURCE_MONITOR'
ORDER BY rbf.TIMESTAMP ASC;

查询 SQL Server 性能计数器

-- there are thousands of different counters
SELECT *
FROM sys.dm_os_performance_counters;

SELECT *
FROM sys.dm_os_performance_counters
WHERE counter_name = 'Page Life expectancy'
AND object_name LIKE '%Buffer Manager%';

SELECT *
FROM sys.dm_os_performance_counters
WHERE counter_name LIKE '%Average Wait Time%'
AND instance_name = 'Database';

查询当前的 Batch Requests 计数

DECLARE @BRPS BIGINT

SELECT @BRPS = cntr_value
FROM sys.dm_os_performance_counters
WHERE counter_name LIKE 'Batch Requests/sec%'

WAITFOR DELAY '000:00:10'

SELECT (cntr_value - @BRPS) / 10.0 AS "Batch Requests/sec"
FROM sys.dm_os_performance_counters
WHERE counter_name LIKE 'Batch Requests/sec%'

 

《人人都是 DBA》系列文章索引:

 序号 

 名称 

1

  人人都是 DBA(I)SQL Server 体系结构

2

  人人都是 DBA(II)SQL Server 元数据

3

  人人都是 DBA(III)SQL Server 调度器

4

  人人都是 DBA(IV)SQL Server 内存管理

5

  人人都是 DBA(V)SQL Server 数据库文件

6

  人人都是 DBA(VI)SQL Server 事务日志

7

  人人都是 DBA(VII)B 树和 B+ 树

8

  人人都是 DBA(VIII)SQL Server 页存储结构

9

  人人都是 DBA(IX)服务器信息收集脚本汇编

10

  人人都是 DBA(X)资源信息收集脚本汇编

11

  人人都是 DBA(XI)I/O 信息收集脚本汇编

12

  人人都是 DBA(XII)查询信息收集脚本汇编

13

  人人都是 DBA(XIII)索引信息收集脚本汇编

14

  人人都是 DBA(XIV)存储过程信息收集脚本汇编 

15

  人人都是 DBA(XV)锁信息收集脚本汇编

本系列文章《 人人都是 DBA》由  Dennis Gao 发表自 博客园,未经作者本人同意禁止任何形式的转载,任何自动或人为的爬虫转载行为均为耍流氓。


本文链接: 人人都是 DBA(X)资源信息收集脚本汇编,转载请注明。

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互联网 DBA 需要做那些事

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很早前就想写篇文章介绍一下互联网DBA需要干的一些事情,但苦于没有时间,忙于平台建设,最近,各个模块都初具规模,故有时间静下心来,介绍一下. 众所周知,互联网DBA与传统行业DBA有很大的不同,那就是管理的机器多,新技术更新快,面对的开发多、网络环境复杂、要求7*24待机;这样就 导致互联网DBA的工作在传统DBA工作之上,增加了更多的复杂性,我们必须考虑如何大批量部署,如何集中化监控、如何解决单点故障而保障7*24,而为 了做到这些,不是靠堆人力,我们必须有一个完整的平台作为支撑,那么数据库平台到底要建成什么样子呢.