--
-----------------------------------------------------------------------------------
--
--1. 数据库
-----------------------------------------------------------------------------------
--
--1.查看数据库版本信息
select @@version
--2.查看所有数据库名称及大小
exec sp_helpdb
--3.查看数据库所在机器的操作系统参数
exec master..xp_msver
--4.查看数据库启动的参数
exec sp_configure
--5.查看数据库启动时间
select convert(varchar(30),login_time,120)
from master..sysprocesses
where spid=1
--6.查看数据库服务器名
select 'Server Name:'+ltrim(@@servername)
--7.查看数据库实例名
select 'Instance:'+ltrim(@@servicename)
--8.数据库的磁盘空间呢使用信息
exec sp_spaceused
--19.查看所有数据库用户登录信息
exec sp_helplogins
--20.查看所有数据库用户所属的角色信息
exec sp_helpsrvrolemember
--21.查看链接服务器
exec sp_helplinkedsrvlogin
--22.查看远端数据库用户登录信息
exec sp_helpremotelogin
--23.获取网络数据包统计信息
select
@@pack_received [输入数据包数量],
@@pack_sent [输出数据包数量],
@@packet_errors [错误包数量],
getdate() [当前时间]
--24.检查数据库中的所有对象的分配和机构完整性是否存在错误
dbcc checkdb
--25.收缩数据库
dbcc shrinkdatabase(DB)
--26.查看系统信息（操作系统、硬件、数据库）
SP_CONFIGURE 'xp_cmdshell', '1'
RECONFIGURE
exec xp_cmdshell 'systeminfo'
--27.所有数据库的状态
select name,
user_access_desc, --用户访问模式
state_desc, --数据库状态
recovery_model_desc, --恢复模式
page_verify_option_desc, --页检测选项
log_reuse_wait_desc --日志重用等待
from sys.databases
--28.对某个数据库,显示目录视图中的页数和行数错误并更正
DBCC UPDATEUSAGE('DB')
--29.重命名数据库用的SQL
EXEC sp_renamedb 'DB', 'DB1'
--30.Tells you the date and time that SQL Server was installed
SELECT @@SERVERNAME AS [Server Name], create_date AS [SQL Server Install Date]
FROM sys.server_principals WITH (NOLOCK)
WHERE name = N'NT AUTHORITY\SYSTEM'
OR name = N'NT AUTHORITY\NETWORK SERVICE' OPTION (RECOMPILE);
--31.Get selected server properties (SQL Server 2012) (Query 3) (Server Properties)
SELECT SERVERPROPERTY('MachineName') AS [MachineName], SERVERPROPERTY('ServerName') AS [ServerName],
SERVERPROPERTY('InstanceName') AS [Instance], SERVERPROPERTY('IsClustered') AS [IsClustered],
SERVERPROPERTY('ComputerNamePhysicalNetBIOS') AS [ComputerNamePhysicalNetBIOS],
SERVERPROPERTY('Edition') AS [Edition], SERVERPROPERTY('ProductLevel') AS [ProductLevel],
SERVERPROPERTY('ProductVersion') AS [ProductVersion], SERVERPROPERTY('ProcessID') AS [ProcessID],
SERVERPROPERTY('Collation') AS [Collation], SERVERPROPERTY('IsFullTextInstalled') AS [IsFullTextInstalled],
SERVERPROPERTY('IsIntegratedSecurityOnly') AS [IsIntegratedSecurityOnly],
SERVERPROPERTY('IsHadrEnabled') AS [IsHadrEnabled], SERVERPROPERTY('HadrManagerStatus') AS [HadrManagerStatus];
--32. Windows information (SQL Server 2012) (Query 7) (Windows Info)
SELECT windows_release,
windows_service_pack_level,
windows_sku,
os_language_version
FROM sys.dm_os_windows_info
WITH (NOLOCK)
OPTION (RECOMPILE);
--33. SQL Server NUMA Node information (Query 9) (SQL Server NUMA Info)
-- Gives you some useful information about the composition and relative load on your NUMA nodes
-- You want to see an equal number of schedulers on each NUMA node
SELECT node_id, node_state_desc, memory_node_id, processor_group, online_scheduler_count,
active_worker_count, avg_load_balance, resource_monitor_state
FROM sys.dm_os_nodes WITH (NOLOCK)
WHERE node_state_desc <> N'ONLINE DAC' OPTION (RECOMPILE);
--34. Hardware information from SQL Server 2012 (Query 10) (Hardware Info)
-- (Cannot distinguish between HT and multi-core)
-- Gives you some good basic hardware information about your database server
-- Note: virtual_machine_type_desc of HYPERVISOR does not automatically mean you are running SQL Server inside of a VM
-- It merely indicates that you have a hypervisor running on your host
SELECT cpu_count AS [Logical CPU Count],
scheduler_count, hyperthread_ratio AS [Hyperthread Ratio],
cpu_count/hyperthread_ratio AS [Physical CPU Count],
physical_memory_kb/1024 AS [Physical Memory (MB)],
committed_kb/1024 AS [Committed Memory (MB)],
committed_target_kb/1024 AS [Committed Target Memory (MB)],
max_workers_count AS [Max Workers Count],
affinity_type_desc AS [Affinity Type],
sqlserver_start_time AS [SQL Server Start Time],
virtual_machine_type_desc AS [Virtual Machine Type]
FROM sys.dm_os_sys_info
WITH (NOLOCK)
OPTION (RECOMPILE);
--35. Get System Manufacturer and model number from (Query 11) (System Manufacturer)
-- SQL Server Error log. This query might take a few seconds
-- if you have not recycled your error log recently
-- This can help you determine the capabilities
-- and capacities of your database server
EXEC sys.xp_readerrorlog 0, 1, N'Manufacturer';
--36. Get socket, physical core and logical core count from (Query 12) (Core Counts)
-- SQL Server Error log. This query might take a few seconds
-- if you have not recycled your error log recently
-- This can help you determine the exact core counts used by SQL Server and whether HT is enabled or not
-- It can also help you confirm your SQL Server licensing model
-- Be on the lookout for this message "using 20 logical processors based on SQL Server licensing" which means grandfathered Server/CAL licensing
-- Note: If you recycle your error logs frequently and your instance has been running long enough,
-- this query may not return any results, since the original startup information from the first error log
-- when SQL Server was last started will have been overwritten
EXEC sys.xp_readerrorlog 0, 1, N'detected', N'socket';
--37. Get processor description from Windows Registry (Query 13) (Processor Description)
-- Gives you the model number and rated clock speed of your processor(s)
-- Your processors may be running at less that the rated clock speed due
-- to the Windows Power Plan or hardware power management
EXEC sys.xp_instance_regread N'HKEY_LOCAL_MACHINE', N'HARDWARE\DESCRIPTION\System\CentralProcessor\0', N'ProcessorNameString';
-- You can skip the next four queries if you know you don't
-- have a clustered instance
--38. Shows you where the SQL Server failover cluster diagnostic log is located and how it is configured (Query 14) (SQL Server Error Log)
-- Knowing this information is important for troubleshooting purposes
-- Also shows you the location of other error and diagnostic log files
SELECT is_enabled,
[path],
max_size,
max_files
FROM sys.dm_os_server_diagnostics_log_configurations
WITH (NOLOCK)
OPTION (RECOMPILE);
--39. Get information about your OS cluster (if your database server is in a cluster) (Query 15) (Cluster Properties)
-- You will see no results if your instance is not clustered
SELECT VerboseLogging,
SqlDumperDumpFlags,
SqlDumperDumpPath,
SqlDumperDumpTimeOut,
FailureConditionLevel,
HealthCheckTimeout
FROM sys.dm_os_cluster_properties
WITH (NOLOCK)
OPTION (RECOMPILE);
--40. Get information about your cluster nodes and their status (Query 16) (Cluster Node Properties)
-- (if your database server is in a failover cluster)
-- Knowing which node owns the cluster resources is critical
-- Especially when you are installing Windows or SQL Server updates
-- You will see no results if your instance is not clustered
SELECT NodeName,
status_description,
is_current_owner
FROM sys.dm_os_cluster_nodes
WITH (NOLOCK)
OPTION (RECOMPILE);
--41. Get information about any AlwaysOn AG cluster this instance is a part of (Query 17) (AlwaysOn AG Cluster)
-- You will see no results if your instance is not using AlwaysOn AGs
-- Recommended hotfixes and updates for Windows Server 2012 R2-based failover clusters
-- http://support.microsoft.com/kb/2920151
SELECT cluster_name,
quorum_type_desc,
quorum_state_desc
FROM sys.dm_hadr_cluster
WITH (NOLOCK)
OPTION (RECOMPILE);
--42. Get configuration values for instance (Query 18) (Configuration Values)
-- Focus on these settings:
-- backup compression default (should be 1 in most cases)
-- clr enabled (only enable if it is needed)
-- cost threshold for parallelism (depends on your workload)
-- lightweight pooling (should be zero)
-- max degree of parallelism (depends on your workload)
-- max server memory (MB) (set to an appropriate value, not the default)
-- optimize for ad hoc workloads (should be 1)
-- priority boost (should be zero)
-- remote admin connections (should be 1)
SELECT name,
value,
value_in_use,
minimum,
maximum,
[description],
is_dynamic,
is_advanced
FROM sys.configurations
WITH (NOLOCK)
ORDER BY name
OPTION (RECOMPILE);
--43. Get information about TCP Listener for SQL Server (Query 19) (TCP Listener States)
-- Helpful for network and connectivity troubleshooting
SELECT listener_id,
ip_address, is_ipv4,
port,
type_desc,
state_desc,
start_time
FROM sys.dm_tcp_listener_states
WITH (NOLOCK)
ORDER BY listener_id
OPTION (RECOMPILE);
--44. Get information on location, time and size of any memory dumps from SQL Server (Query 20) (Memory Dump Info)
-- This will not return any rows if you have
-- not had any memory dumps (which is a good thing)
SELECT [filename],
creation_time,
size_in_bytes/1048576.0 AS [Size (MB)]
FROM sys.dm_server_memory_dumps
WITH (NOLOCK)
ORDER BY creation_time DESC
OPTION (RECOMPILE);
--45. Calculates average stalls per read, per write, and per total input/output for each database file (Query 25) (IO Stalls by File)
-- Helps determine which database files on the entire instance have the most I/O bottlenecks
-- This can help you decide whether certain LUNs are overloaded and whether you might
-- want to move some files to a different location or perhaps improve your I/O performance
SELECT DB_NAME(fs.database_id) AS [Database Name],
CAST(fs.io_stall_read_ms/(1.0 + fs.num_of_reads) AS NUMERIC(10,1)) AS [avg_read_stall_ms],
CAST(fs.io_stall_write_ms/(1.0 + fs.num_of_writes) AS NUMERIC(10,1)) AS [avg_write_stall_ms],
CAST((fs.io_stall_read_ms + fs.io_stall_write_ms)/(1.0 + fs.num_of_reads + fs.num_of_writes) AS NUMERIC(10,1)) AS [avg_io_stall_ms],
CONVERT(DECIMAL(18,2), mf.size/128.0) AS [File Size (MB)],
mf.physical_name,
mf.type_desc,
fs.io_stall_read_ms,
fs.num_of_reads,
fs.io_stall_write_ms,
fs.num_of_writes,
fs.io_stall_read_ms + fs.io_stall_write_ms AS [io_stalls],
fs.num_of_reads + fs.num_of_writes AS [total_io]
FROM sys.dm_io_virtual_file_stats(null,null) AS fs
INNER JOIN sys.master_files AS mf WITH (NOLOCK)
ON fs.database_id = mf.database_id
AND fs.[file_id] = mf.[file_id]
ORDER BY avg_io_stall_ms DESC
OPTION (RECOMPILE);
--46. Recovery model, log reuse wait description, log file size, log usage size (Query 26) (Database Properties)
-- and compatibility level for all databases on instance
-- Things to look at:
-- How many databases are on the instance?
-- What recovery models are they using?
-- What is the log reuse wait description?
-- How full are the transaction logs ?
-- What compatibility level are the databases on?
-- What is the Page Verify Option? (should be CHECKSUM)
-- Is Auto Update Statistics Asynchronously enabled?
-- Make sure auto_shrink and auto_close are not enabled!
SELECT db.[name] AS [Database Name],
db.recovery_model_desc AS [Recovery Model],
db.state_desc,
db.log_reuse_wait_desc AS [Log Reuse Wait Description],
CONVERT(DECIMAL(18,2), ls.cntr_value/1024.0) AS [Log Size (MB)],
CONVERT(DECIMAL(18,2), lu.cntr_value/1024.0) AS [Log Used (MB)],
CAST(CAST(lu.cntr_value AS FLOAT) / CAST(ls.cntr_value AS FLOAT)AS DECIMAL(18,2)) * 100 AS [Log Used %],
db.[compatibility_level] AS [DB Compatibility Level],
db.page_verify_option_desc AS [Page Verify Option],
db.is_auto_create_stats_on,
db.is_auto_update_stats_on,
db.is_auto_update_stats_async_on,
db.is_parameterization_forced,
db.snapshot_isolation_state_desc,
db.is_read_committed_snapshot_on,
db.is_auto_close_on, db.is_auto_shrink_on,
db.target_recovery_time_in_seconds,
db.is_cdc_enabled
FROM sys.databases AS db WITH (NOLOCK)
INNER JOIN sys.dm_os_performance_counters AS lu WITH (NOLOCK)
ON db.name = lu.instance_name
INNER JOIN sys.dm_os_performance_counters AS ls WITH (NOLOCK)
ON db.name = ls.instance_name
WHERE lu.counter_name LIKE N'Log File(s) Used Size (KB)%'
AND ls.counter_name LIKE N'Log File(s) Size (KB)%'
AND ls.cntr_value > 0 OPTION (RECOMPILE);
--47. Get VLF Counts for all databases on the instance (Query 28) (VLF Counts)
-- (adapted from Michelle Ufford)
-- High VLF counts can affect write performance
-- and they can make database restores and recovery take much longer
-- Try to keep your VLF counts under 200 in most cases
CREATE TABLE #VLFInfo
(
RecoveryUnitID int,
FileID int,
FileSize bigint,
StartOffset bigint,
FSeqNo bigint,
[Status] bigint,
Parity bigint,
CreateLSN numeric(38)
);
CREATE TABLE #VLFCountResults
(
DatabaseName sysname,
VLFCount int
);
EXEC sp_MSforeachdb
N'
Use [DB];
INSERT INTO #VLFInfo
EXEC sp_executesql N''DBCC LOGINFO([DB])'';
INSERT INTO #VLFCountResults
SELECT DB_NAME(), COUNT(*)
FROM #VLFInfo;
TRUNCATE TABLE #VLFInfo;
'
SELECT DatabaseName, VLFCount
FROM #VLFCountResults
ORDER BY VLFCount DESC;
DROP TABLE #VLFInfo;
DROP TABLE #VLFCountResults;
--
-----------------------------------------------------------------------------------
--
--2. 数据文件
-----------------------------------------------------------------------------------
--
--1.查看某个数据库中的所有文件及大小
sp_helpfile
--2.查询文件组和文件
select df.[name],
df.physical_name,
df.[size],
df.growth,
f.[name][filegroup],
f.is_default
from sys.database_files df
join sys.filegroups f on df.data_space_id = f.data_space_id
--3.查看所有文件所在数据库、路径、状态、大小
select db_name(database_id) dbname,
type_desc, --数据还是日志
name, --文件的逻辑名称
physical_name, --文件的物理路径
state_desc, --文件状态
size * 8.0/1024 as '文件大小（MB）'
from sys.master_files
--4.按区extent计算空间，没有性能影响，基本准确,把TotalExtents*64/1024,单位为MB
--同时也适用于计算tempdb的文件大小，但不包括日志文件
dbcc showfilestats
--5.日志文件大小及使用情况
dbcc sqlperf(logspace)
--6.查看日志文件所在数据库、路径、状态、大小
select db_name(database_id) dbname,
type_desc, --数据还是日志
name, --文件的逻辑名称
physical_name, --文件的物理路径
state_desc, --文件状态
size * 8.0/1024 as '文件大小（MB）'
from sys.master_files
where type_desc = 'LOG'
--8. File names and paths for TempDB and all user databases in instance (Query 21) (Database Filenames and Paths)
-- Things to look at:
-- Are data files and log files on different drives?
-- Is everything on the C: drive?
-- Is TempDB on dedicated drives?
-- Is there only one TempDB data file?
-- Are all of the TempDB data files the same size?
-- Are there multiple data files for user databases?
-- Is percent growth enabled for any files (which is bad)?
SELECT DB_NAME([database_id]) AS [Database Name],
[file_id],
name,
physical_name,
type_desc,
state_desc,
is_percent_growth,
growth,
CONVERT(bigint, growth/128.0) AS [Growth in MB],
CONVERT(bigint, size/128.0) AS [Total Size in MB]
FROM sys.master_files WITH (NOLOCK)
WHERE [database_id] > 4
AND [database_id] <> 32767
OR [database_id] = 2
ORDER BY DB_NAME([database_id])
OPTION (RECOMPILE);
--9. Volume info for all LUNS that have database files on the current instance (Query 22) (Volume Info)
--Shows you the total and free space on the LUNs where you have database files
SELECT DISTINCT vs.volume_mount_point,
vs.file_system_type,
vs.logical_volume_name,
CONVERT(DECIMAL(18,2),vs.total_bytes/1073741824.0) AS [Total Size (GB)],
CONVERT(DECIMAL(18,2),vs.available_bytes/1073741824.0) AS [Available Size (GB)],
CAST(CAST(vs.available_bytes AS FLOAT)/ CAST(vs.total_bytes AS FLOAT) AS DECIMAL(18,2)) * 100 AS [Space Free %]
FROM sys.master_files AS f WITH (NOLOCK)
CROSS APPLY sys.dm_os_volume_stats(f.database_id, f.[file_id]) AS vs
OPTION (RECOMPILE);
--10. Drive level latency information (Query 24) (Drive Level Latency)
-- Based on code from Jimmy May
-- Shows you the drive-level latency for reads and writes, in milliseconds
-- Latency above 20-25ms is usually a problem
SELECT tab.[Drive],
tab.volume_mount_point AS [Volume Mount Point],
CASE
WHEN num_of_reads = 0 THEN 0
ELSE (io_stall_read_ms/num_of_reads)
END AS [Read Latency],
CASE
WHEN io_stall_write_ms = 0 THEN 0
ELSE (io_stall_write_ms/num_of_writes)
END AS [Write Latency],
CASE
WHEN (num_of_reads = 0 AND num_of_writes = 0) THEN 0
ELSE (io_stall/(num_of_reads + num_of_writes))
END AS [Overall Latency],
CASE
WHEN num_of_reads = 0 THEN 0
ELSE (num_of_bytes_read/num_of_reads)
END AS [Avg Bytes/Read],
CASE
WHEN io_stall_write_ms = 0 THEN 0
ELSE (num_of_bytes_written/num_of_writes)
END AS [Avg Bytes/Write],
CASE
WHEN (num_of_reads = 0 AND num_of_writes = 0) THEN 0
ELSE ((num_of_bytes_read + num_of_bytes_written)/(num_of_reads + num_of_writes))
END AS [Avg Bytes/Transfer]
FROM
(
SELECT LEFT(UPPER(mf.physical_name), 2) AS Drive,
SUM(num_of_reads) AS num_of_reads,
SUM(io_stall_read_ms) AS io_stall_read_ms,
SUM(num_of_writes) AS num_of_writes,
SUM(io_stall_write_ms) AS io_stall_write_ms,
SUM(num_of_bytes_read) AS num_of_bytes_read,
SUM(num_of_bytes_written) AS num_of_bytes_written,
SUM(io_stall) AS io_stall, vs.volume_mount_point
FROM sys.dm_io_virtual_file_stats(NULL, NULL) AS vfs
INNER JOIN sys.master_files AS mf WITH (NOLOCK)
ON vfs.database_id = mf.database_id
AND vfs.file_id = mf.file_id
CROSS APPLY sys.dm_os_volume_stats(mf.database_id, mf.[file_id]) AS vs
GROUP BY LEFT(UPPER(mf.physical_name), 2), vs.volume_mount_point
) AS tab
ORDER BY [Overall Latency]
OPTION (RECOMPILE);
--11. Individual File Sizes and space available for current database (Query 45) (File Sizes and Space)
-- Look at how large and how full the files are and where they are located
-- Make sure the transaction log is not full!!
SELECT f.name AS [File Name] ,
f.physical_name AS [Physical Name],
CAST((f.size/128.0) AS DECIMAL(15,2)) AS [Total Size in MB],
CAST(f.size/128.0 - CAST(FILEPROPERTY(f.name, 'SpaceUsed') AS int)/128.0 AS DECIMAL(15,2)) AS [Available Space In MB],
[file_id], fg.name AS [Filegroup Name]
FROM sys.database_files AS f WITH (NOLOCK)
LEFT OUTER JOIN sys.data_spaces AS fg WITH (NOLOCK)
ON f.data_space_id = fg.data_space_id
OPTION (RECOMPILE);
--12. I/O Statistics by file for the current database (Query 46) (IO Stats By File)
-- This helps you characterize your workload better from an I/O perspective for this database
-- It helps you determine whether you has an OLTP or DW/DSS type of workload
SELECT DB_NAME(DB_ID()) AS [Database Name],
df.name AS [Logical Name],
vfs.[file_id],
df.physical_name AS [Physical Name],
vfs.num_of_reads,
vfs.num_of_writes,
vfs.io_stall_read_ms,
vfs.io_stall_write_ms,
CAST(100. * vfs.io_stall_read_ms/(vfs.io_stall_read_ms + vfs.io_stall_write_ms) AS DECIMAL(10,1)) AS [IO Stall Reads Pct],
CAST(100. * vfs.io_stall_write_ms/(vfs.io_stall_write_ms + vfs.io_stall_read_ms) AS DECIMAL(10,1)) AS [IO Stall Writes Pct],
(vfs.num_of_reads + vfs.num_of_writes) AS [Writes + Reads],
CAST(vfs.num_of_bytes_read/1048576.0 AS DECIMAL(10, 2)) AS [MB Read],
CAST(vfs.num_of_bytes_written/1048576.0 AS DECIMAL(10, 2)) AS [MB Written],
CAST(100. * vfs.num_of_reads/(vfs.num_of_reads + vfs.num_of_writes) AS DECIMAL(10,1)) AS [# Reads Pct],
CAST(100. * vfs.num_of_writes/(vfs.num_of_reads + vfs.num_of_writes) AS DECIMAL(10,1)) AS [# Write Pct],
CAST(100. * vfs.num_of_bytes_read/(vfs.num_of_bytes_read + vfs.num_of_bytes_written) AS DECIMAL(10,1)) AS [Read Bytes Pct],
CAST(100. * vfs.num_of_bytes_written/(vfs.num_of_bytes_read + vfs.num_of_bytes_written) AS DECIMAL(10,1)) AS [Written Bytes Pct]
FROM sys.dm_io_virtual_file_stats(DB_ID(), NULL) AS vfs
INNER JOIN sys.database_files AS df WITH (NOLOCK)
ON vfs.[file_id]= df.[file_id] OPTION (RECOMPILE);
--
-----------------------------------------------------------------------------------
--
--3. I/O统计信息，内存，CPU
-----------------------------------------------------------------------------------
--
--1.获取磁盘读写情况
select @@total_read [读取磁盘次数],
@@total_write [写入磁盘次数],
@@total_errors [磁盘写入错误数],
getdate() [当前时间]
--2.获取I/O工作情况
select @@io_busy,
@@timeticks [每个时钟周期对应的微秒数],
@@io_busy*@@timeticks [I/O操作毫秒数],
getdate() [当前时间]
--3.查看CPU活动及工作情况
select @@cpu_busy,
@@timeticks [每个时钟周期对应的微秒数],
@@cpu_busy*cast(@@timeticks as float)/1000 [CPU工作时间(秒)],
@@idle*cast(@@timeticks as float)/1000 [CPU空闲时间(秒)],
getdate() [当前时间]
--4. 查看SQL Server的实际内存占用
select *
from sysperfinfo
where counter_name like '%Memory%'
--5.显示所有数据库的日志空间信息
dbcc sqlperf(logspace)
--6.数据和日志文件的I/O统计信息,包含文件大小
select database_id,
file_id,
file_handle, --windows文件句柄
sample_ms, --自从计算机启动以来的毫秒数
num_of_reads,
num_of_bytes_read,
io_stall_read_ms, --等待读取的时间
num_of_writes,
num_of_bytes_written,
io_stall_write_ms,
io_stall, --用户等待文件完成I/O操作所用的总时间
size_on_disk_bytes --文件在磁盘上所占用的实际字节数
from sys.dm_io_virtual_file_stats(db_id('Landa_MMI_3'),1 ) --数据库id, 数据文件id
union all
select database_id,
file_id,
file_handle, --windows文件句柄
sample_ms, --自从计算机启动以来的毫秒数
num_of_reads,
num_of_bytes_read,
io_stall_read_ms, --等待读取的时间
num_of_writes,
num_of_bytes_written,
io_stall_write_ms,
io_stall, --用户等待文件完成I/O操作所用的总时间
size_on_disk_bytes --文件在磁盘上所占用的实际字节数
from sys.dm_io_virtual_file_stats( db_id('Landa_MMI_3'),2 ) --数据库id, 日志文件id
--7. Look for I/O requests taking longer than 15 seconds in the five most recent SQL Server Error Logs (Query 23) (IO Warnings)
-- Finding 15 second I/O warnings in the SQL Server Error Log is useful evidence of
-- poor I/O performance (which might have many different causes)
CREATE TABLE #IOWarningResults
(
LogDate datetime,
ProcessInfo sysname,
LogText nvarchar(1000)
);
INSERT INTO #IOWarningResults
EXEC xp_readerrorlog 0, 1, N'taking longer than 15 seconds';
INSERT INTO #IOWarningResults
EXEC xp_readerrorlog 1, 1, N'taking longer than 15 seconds';
INSERT INTO #IOWarningResults
EXEC xp_readerrorlog 2, 1, N'taking longer than 15 seconds';
INSERT INTO #IOWarningResults
EXEC xp_readerrorlog 3, 1, N'taking longer than 15 seconds';
INSERT INTO #IOWarningResults
EXEC xp_readerrorlog 4, 1, N'taking longer than 15 seconds';
SELECT LogDate, ProcessInfo, LogText
FROM #IOWarningResults
ORDER BY LogDate DESC;
DROP TABLE #IOWarningResults;
--8. Get CPU utilization by database (Query 29) (CPU Usage by Database)
-- Helps determine which database is using the most CPU resources on the instance
;WITH DB_CPU_Stats
AS
(
SELECT pa.DatabaseID,
DB_Name(pa.DatabaseID) AS [Database Name],
SUM(qs.total_worker_time/1000) AS [CPU_Time_Ms]
FROM sys.dm_exec_query_stats AS qs WITH (NOLOCK)
CROSS APPLY
(
SELECT CONVERT(int, value) AS [DatabaseID]
FROM sys.dm_exec_plan_attributes(qs.plan_handle)
WHERE attribute = N'dbid'
) AS pa
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);
--9. Get I/O utilization by database (Query 30) (IO Usage By Database)
-- Helps determine which database is using the most I/O resources on the instance
;WITH Aggregate_IO_Statistics
AS
(
SELECT DB_NAME(database_id) AS [Database Name],
CAST(SUM(num_of_bytes_read + num_of_bytes_written)/1048576 AS DECIMAL(12, 2)) AS io_in_mb
FROM sys.dm_io_virtual_file_stats(NULL, NULL) AS [DM_IO_STATS]
GROUP BY database_id
)
SELECT ROW_NUMBER() OVER(ORDER BY io_in_mb DESC) AS [I/O Rank],
[Database Name],
io_in_mb AS [Total I/O (MB)],
CAST(io_in_mb/ SUM(io_in_mb) OVER() * 100.0 AS DECIMAL(5,2)) AS [I/O Percent]
FROM Aggregate_IO_Statistics
ORDER BY [I/O Rank]
OPTION (RECOMPILE);
--10. Get total buffer usage by database for current instance (Query 31) (Total Buffer Usage by Database)
-- This make take some time to run on a busy instance
-- Tells you how much memory (in the buffer pool)
-- is being used by each database on the instance
;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);
--11. Get top total worker time queries for entire instance (Query 38) (Top Worker Time Queries)
-- Helps you find the most expensive queries from a CPU perspective across the entire instance
SELECT TOP(50) DB_NAME(t.[dbid]) AS [Database Name],
LEFT(t.[text], 255) AS [Short 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], 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);
--12. Good basic information about OS memory amounts and state (Query 39) (System Memory)
-- You want to see "Available physical memory is high"
-- This indicates that you are not under external memory pressure
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);
--13. SQL Server Process Address space info (Query 40) (Process Memory)
-- (shows whether locked pages is enabled, among other things)
-- You want to see 0 for process_physical_memory_low
-- You want to see 0 for process_virtual_memory_low
-- This indicates that you are not under internal memory pressure
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);
--14. Page Life Expectancy (PLE) value for each NUMA node in current instance (Query 41) (PLE by NUMA Node)
-- PLE is a good measurement of memory pressure.
-- Higher PLE is better. Watch the trend over time, not the absolute value.
-- This will only return one row for non-NUMA systems.
SELECT @@SERVERNAME AS [Server Name],
[object_name],
instance_name,
cntr_value AS [Page Life Expectancy]
FROM sys.dm_os_performance_counters WITH (NOLOCK)
WHERE [object_name] LIKE N'%Buffer Node%' -- Handles named instances
AND counter_name = N'Page life expectancy' OPTION (RECOMPILE);
--15. Memory Grants Pending value for current instance (Query 42) (Memory Grants Pending)
-- Memory Grants Pending above zero for a sustained period is a very strong indicator of memory pressure
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);
--16. Memory Clerk Usage for instance (Query 43) (Memory Clerk Usage)
-- Look for high value for CACHESTORE_SQLCP (Ad-hoc query plans)
-- MEMORYCLERK_SQLBUFFERPOOL is new for SQL Server 2012. It should be your highest consumer of memory
-- CACHESTORE_SQLCP SQL Plans
-- These are cached SQL statements or batches that aren't in stored procedures, functions and triggers
-- Watch out for high values for CACHESTORE_SQLCP
-- CACHESTORE_OBJCP Object Plans
-- These are compiled plans for stored procedures, functions and triggers
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);
--17. Breaks down buffers used by current database by object (table, index) in the buffer cache (Query 59) (Buffer Usage)
-- Note: This query could take some time on a busy instance
-- Tells you what tables and indexes are using the most memory in the buffer cache
-- It can help identify possible candidates for data compression
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);
--
-----------------------------------------------------------------------------------
--
--4. 对象，包括：表、索引、索引视图等
-----------------------------------------------------------------------------------
--
--1.表的磁盘空间使用信息
exec sp_spaceused 'T1'
--2.查看数据库中所有表的条数
select b.name as tablename ,
a.rowcnt as datacount
from sysindexes a , sysobjects b
where a.id = b.id
and a.indid < 2
and objectproperty(b.id, 'IsMSShipped') = 0
--3.得到最耗时的前10条T-SQL语句
;with maco as
(
select top 10
plan_handle,
sum(total_worker_time) as total_worker_time ,
sum(execution_count) as execution_count ,
count(1) as sql_count
from sys.dm_exec_query_stats group by plan_handle
order by sum(total_worker_time) desc
)
select t.text ,
a.total_worker_time ,
a.execution_count ,
a.sql_count
from maco a
cross apply sys.dm_exec_sql_text(plan_handle) t
--4.准确:但有性能影响
exec sp_spaceused @objname ='T1', @updateusage ='true'
--5.按页统计，没有性能影响，有时不准确
/*======================================================
一次计算多个对象的空间使用情况
sys.dm_db_partition_stats返回当前数据库中每个分区(表和索引)的页和行计数信息
========================================================*/
select o.name,
sum(p.reserved_page_count) as reserved_page_count, --保留页，包含表和索引
sum(p.used_page_count) as used_page_count, --已使用页，包含表和索引
sum(case when p.index_id <2 then p.in_row_data_page_count + p.lob_used_page_count + p.row_overflow_used_page_count
else p.lob_used_page_count + p.row_overflow_used_page_count end) as data_pages, --数据页,包含表中数据、索引中的lob数据、索引中的行溢出数据
sum(case when p.index_id < 2 then p.row_count else 0 end) as row_counts --数据行数，包含表中的数据行数，不包含索引中的数据条目数
from sys.dm_db_partition_stats p
inner join sys.objects o on p.object_id = o.object_id
where p.object_id= object_id('T1')
group by o.name
--6.按页或区统计，有性能影响，准确
--显示当前数据库中所有的表或视图的数据和索引的空间信息
--包含：逻辑碎片、区碎片(碎片率)、平均页密度
dbcc showcontig(T1)
--7.SQL Server推荐使用的动态性能函数，准确
select *
from sys.dm_db_index_physical_stats
(
db_id('test'), --数据库id
object_id('test.dbo.temp_lock'), --对象id
null, --索引id
null, --分区号
'limited' --default,null,'limited','sampled','detailed',默认为'limited'
--'limited'模式运行最快，扫描的页数最少,对于堆会扫描所有页,对于索引只扫描叶级以上的父级页
--'sampled'模式会返回堆、索引中所有页的1%样本的统计信息，如果少于1000页，那么用'detailed'代替'sampled'
--'detailed'模式会扫描所有页,返回所有统计信息
)
--8.查找哪些对象是需要重建的
use DB
go
if OBJECT_ID('extentinfo') is not null drop table extentinfo
go
create table extentinfo
( [file_id] smallint,
page_id int,
pg_alloc int,
ext_size int,
obj_id int,
index_id int,
partition_number int,
[partition_id] bigint,
iam_chain_type varchar(50),
pfs_bytes varbinary(10)
)
go
/*====================================================================
查询到的盘区信息是数据库的数据文件的盘区信息，日志文件不以盘区为单位
命令格式: DBCC EXTENTINFO（dbname,tablename,indexid）
DBCC EXTENTINFO('[test]','extentinfo',0)
======================================================================*/
insert extentinfo
exec('dbcc extentinfo(''DB'') ')
SELECT * FROM extentinfo
go
--9.每一个区有一条数据
select file_id,
obj_id, --对象ID
index_id, --索引id
page_id, --这个区是从哪个页开始的,也就是这个区中的第一个页面的页面号
pg_alloc, --这个盘区分配的页面数量
ext_size, --这个盘区包含了多少页
partition_number,
partition_id,
iam_chain_type, --IAM链类型:行内数据,行溢出数据,大对象数据
pfs_bytes
from extentinfo
order by file_id,
OBJ_ID,
index_id,
partition_id,
ext_size
/*=====================================================================================================
数据库的数据文件的盘区信息,通过计算每个对象理论上区的数量和实际数量,如果两者相差很大,
那就应该重建对象.
每一条记录就是一个区
如果pg_alloc比ext_size小，也就是实际每个区分配的页数小于理论上这个区的页数，
那么就会多一条记录，把本应该属于这个区的页放到多出来的这条记录对应的区中，
那么原来只有一条记录(也就是一个区)，现在就有2条记录(也就是2个区)，
导致实际的区数量2大于理论上的区数量1.
========================================================================================================*/
select file_id,
obj_id,
index_id,
partition_id,
ext_size,
count(*) as '实际区的个数',
sum(pg_alloc) as '实际包含的页数',
ceiling(sum(pg_alloc) * 1.0 / ext_size) as '理论上的区的个数',
ceiling(sum(pg_alloc) * 1.0 / ext_size) / count(*) * 100.00 as '理论上的区个数 / 实际区的个数'
from extentinfo
group by file_id,
obj_id,
index_id,
partition_id,
ext_size
having ceiling(sum(pg_alloc)*1.0/ext_size) < count(*)
--过滤: 理论上区的个数 < 实际区的个数,也就是百分比小于100%的
order by partition_id, obj_id, index_id, [file_id]
--10.修复迁移服务器时孤立用户时,可以用的fix_orphan_user脚本或者LoneUser过程 ,更改某个数据对象的用户属主 ,注意: 更改对象名的任一部分都可能破坏脚本和存储过程。把一台服务器上的数据库用户登录信息备份出来可以用add_login_to_aserver脚本
EXEC sp_changeobjectowner [@objectname =] 'object', [@newowner =] 'owner'
--11.查看某数据库下某个数据对象的索引信息
sp_helpindex T1
--12.查看数据库里所有的存储过程和函数
sp_stored_procedures
--13.查看存储过程和函数的源代码
sp_helptext '@procedure_name'
--11. Missing Indexes for all databases by Index Advantage (Query 27) (Missing Indexes All Databases)
-- Getting missing index information for all of the databases on the instance is very useful
-- Look at last user seek time, number of user seeks to help determine source and importance
-- Also look at avg_user_impact and avg_total_user_cost to help determine importance
-- SQL Server is overly eager to add included columns, so beware
-- Do not just blindly add indexes that show up from this query!!!
SELECT CONVERT(decimal(18,2), user_seeks * avg_total_user_cost * (avg_user_impact * 0.01)) AS [index_advantage],
migs.last_user_seek,
mid.[statement] AS [Database.Schema.Table],
mid.equality_columns,
mid.inequality_columns,
mid.included_columns,
migs.unique_compiles,
migs.user_seeks,
migs.avg_total_user_cost,
migs.avg_user_impact
FROM sys.dm_db_missing_index_group_stats AS migs WITH (NOLOCK)
INNER JOIN sys.dm_db_missing_index_groups AS mig WITH (NOLOCK)
ON migs.group_handle = mig.index_group_handle
INNER JOIN sys.dm_db_missing_index_details AS mid WITH (NOLOCK)
ON mig.index_handle = mid.index_handle
ORDER BY index_advantage DESC OPTION (RECOMPILE);
--12. Get Table names, row counts, and compression status for clustered index or heap (Query 60) (Table Sizes)
-- Gives you an idea of table sizes, and possible data compression opportunities
SELECT OBJECT_NAME(object_id) AS [ObjectName],
SUM(Rows) AS [RowCount],
data_compression_desc AS [CompressionType]
FROM sys.partitions WITH (NOLOCK)
WHERE index_id < 2 --ignore the partitions from the non-clustered index if any
AND OBJECT_NAME(object_id) NOT LIKE N'sys%'
AND OBJECT_NAME(object_id) NOT LIKE N'queue_%'
AND OBJECT_NAME(object_id) NOT LIKE N'filestream_tombstone%'
AND OBJECT_NAME(object_id) NOT LIKE N'fulltext%'
AND OBJECT_NAME(object_id) NOT LIKE N'ifts_comp_fragment%'
AND OBJECT_NAME(object_id) NOT LIKE N'filetable_updates%'
AND OBJECT_NAME(object_id) NOT LIKE N'xml_index_nodes%'
GROUP BY object_id, data_compression_desc
ORDER BY SUM(Rows) DESC OPTION (RECOMPILE);
--13. Get some key table properties (Query 61) (Table Properties)
-- Gives you some good information about your tables
SELECT [name],
create_date,
lock_on_bulk_load,
is_replicated,
has_replication_filter,
is_tracked_by_cdc,
lock_escalation_desc
FROM sys.tables WITH (NOLOCK)
ORDER BY [name] OPTION (RECOMPILE);
--14. When were Statistics last updated on all indexes? (Query 63) (Statistics Update)
-- Helps discover possible problems with out-of-date statistics
-- Also gives you an idea which indexes are the most active
SELECT SCHEMA_NAME(o.Schema_ID) + N'.' + o.NAME AS [Object Name],
o.type_desc AS [Object Type],
i.name AS [Index Name],
STATS_DATE(i.[object_id], i.index_id) AS [Statistics Date],
s.auto_created,
s.no_recompute,
s.user_created,
s.is_temporary,
st.row_count,
st.used_page_count
FROM sys.objects AS o WITH (NOLOCK)
INNER JOIN sys.indexes AS i WITH (NOLOCK)
ON o.[object_id] = i.[object_id]
INNER JOIN sys.stats AS s WITH (NOLOCK)
ON i.[object_id] = s.[object_id] AND i.index_id = s.stats_id
INNER JOIN sys.dm_db_partition_stats AS st WITH (NOLOCK)
ON o.[object_id] = st.[object_id] AND i.[index_id] = st.[index_id]
WHERE o.[type] IN ('U', 'V') AND st.row_count > 0
ORDER BY STATS_DATE(i.[object_id], i.index_id) DESC OPTION (RECOMPILE);
--15. Look at most frequently modified indexes and statistics (Query 64) (Volatile Indexes)
SELECT o.name AS [Object Name],
o.[object_id],
o.type_desc,
s.name AS [Statistics Name],
s.stats_id,
s.no_recompute,
s.auto_created,
sp.modification_counter,
sp.rows,
sp.rows_sampled,
sp.last_updated
FROM sys.objects AS o WITH (NOLOCK)
INNER JOIN sys.stats AS s WITH (NOLOCK)
ON s.object_id = o.object_id
CROSS APPLY sys.dm_db_stats_properties(s.object_id, s.stats_id) AS sp
WHERE o.type_desc NOT IN (N'SYSTEM_TABLE', N'INTERNAL_TABLE')
AND sp.modification_counter > 0
ORDER BY sp.modification_counter DESC, o.name OPTION (RECOMPILE);
--16. Get fragmentation info for all indexes above a certain size in the current database (Query 65) (Index Fragmentation)
-- Note: This query could take some time on a very large database
-- Helps determine whether you have framentation in your relational indexes
-- and how effective your index maintenance strategy is
SELECT DB_NAME(ps.database_id) AS [Database Name],
OBJECT_NAME(ps.OBJECT_ID) AS [Object Name],
i.name AS [Index Name],
ps.index_id,
ps.index_type_desc,
ps.avg_fragmentation_in_percent,
ps.fragment_count,
ps.page_count,
i.fill_factor,
i.has_filter,
i.filter_definition
FROM sys.dm_db_index_physical_stats(DB_ID(),NULL, NULL, NULL , N'LIMITED') AS ps
INNER JOIN sys.indexes AS i WITH (NOLOCK)
ON ps.[object_id] = i.[object_id] AND ps.index_id = i.index_id
WHERE ps.database_id = DB_ID() AND ps.page_count > 2500
ORDER BY ps.avg_fragmentation_in_percent DESC OPTION (RECOMPILE);
---17. Index Read/Write stats (all tables in current DB) ordered by Reads (Query 66) (Overall Index Usage - Reads)
-- Show which indexes in the current database are most active for Reads
SELECT OBJECT_NAME(s.[object_id]) AS [ObjectName],
i.name AS [IndexName], i.index_id,
user_seeks + user_scans + user_lookups AS [Reads],
s.user_updates AS [Writes],
i.type_desc AS [IndexType],
i.fill_factor AS [FillFactor],
i.has_filter,
i.filter_definition,
s.last_user_scan,
s.last_user_lookup,
s.last_user_seek
FROM sys.dm_db_index_usage_stats AS s WITH (NOLOCK)
INNER JOIN sys.indexes AS i WITH (NOLOCK)
ON s.[object_id] = i.[object_id]
WHERE OBJECTPROPERTY(s.[object_id],'IsUserTable') = 1
AND i.index_id = s.index_id AND s.database_id = DB_ID()
ORDER BY user_seeks + user_scans + user_lookups DESC OPTION (RECOMPILE); -- Order by reads
---18. Index Read/Write stats (all tables in current DB) ordered by Writes (Query 67) (Overall Index Usage - Writes)
-- Show which indexes in the current database are most active for Writes
SELECT OBJECT_NAME(s.[object_id]) AS [ObjectName],
i.name AS [IndexName],
i.index_id,
s.user_updates AS [Writes],
user_seeks + user_scans + user_lookups AS [Reads],
i.type_desc AS [IndexType],
i.fill_factor AS [FillFactor],
i.has_filter,
i.filter_definition,
s.last_system_update,
s.last_user_update
FROM sys.dm_db_index_usage_stats AS s WITH (NOLOCK)
INNER JOIN sys.indexes AS i WITH (NOLOCK)
ON s.[object_id] = i.[object_id]
WHERE OBJECTPROPERTY(s.[object_id],'IsUserTable') = 1
AND i.index_id = s.index_id
AND s.database_id = DB_ID()
ORDER BY s.user_updates DESC OPTION (RECOMPILE); -- Order by writes
--
-----------------------------------------------------------------------------------
--
--5. tempdb数据库
-----------------------------------------------------------------------------------
--
--1.tempdb数据库的空间使用
/*======================================================
tempdb中包含的对象：
用户对象：是用户显式创建的，这些对象位于用户会话的作用域，
可以位于创建对象的例程(存储过程、触发器、函数)的作用域中。
1.用户定义的表、索引
2.系统表、索引
3.全局临时表、索引
4.局部临时表、索引
5.表变量
6.表值函数中返回的表
内部对象：是根据需要由SQL Server数据库引擎创建的，用于处理SQL Server语句，
内部对象可以在语句作用域中创建、删除。
每个内部对象至少需要9个页面，一个IAM页，一个区包含了8个页。
1.游标、假脱机操作、临时的大型对象(LOB)，存储的工作表
2.哈希联接、哈希聚合操作的工作文件
3.如果设置了sort_in_tempdb选项，那么创建、重新生成索引的重建排序结果存放在tempdb；
group by、order by、union操作的中间结果。
版本存储区：是数据页的集合，包含了支持行版本控制功能的所需的数据，主要支持快照事务隔离级别，
以及一些其他的提高数据库并发性能的新功能。
1.公用版本存储区：在使用快照隔离级别、已提交读隔离级别的数据库中，由数据修改事务生成的行版本。
2.联机索引生成版本存储区：为了实现联机索引操作而为数据修改事务生成的行版本，
多个活动结果集，after触发器生成的行版本。
上面也提到了，由于sys.allocation_units和sys.partitions视图没有记录tempdb中的内部对象、版本存储区
所以这2个视图和sp_spaceused，不能准确反应出tempdb的空间使用。
分析tempdb现有的工作负载:
1.设置tempdb的自动增长
2.通过模拟单独的查询、工作任务，监控tempdb空间使用
3.通过模拟执行一些系统维护操作(重新生成索引),监控tempdb空间使用
4.根据2和3中tempdb的空间使用量,预测总工作负荷会使用的空间,并针对任务的并发度调整这个值.
5.根据4得到的值,设置生成环境中tempdb的初始大小,并开启自动增长.
另外,tempdb的文件个数和大小,不仅需要满足实际使用需要,还要考虑性能优化.
监控tempdb的空间使用方法:
1.可以通过SQL Trace来跟踪,但是由于不能预期造成大量使用tempdb语句在什么时候运行,
而且SQL Trance操作比较昂贵,如果一直开着会产生大量的跟踪文件,对硬盘的负担也比较重,一般不用.
2.轻量级的监控是通过一定时间间隔运行能够监控系统运行的dbcc命令、动态性能视图-函数，
把结果记录在文件中，这对于很繁忙的系统是不错的选择。
========================================================*/
Select DB_NAME(database_id) as DB,
max(FILE_ID) as '文件id',
SUM (user_object_reserved_page_count) as '用户对象保留的页数', ----包含已分配区中的未使用页数
SUM (internal_object_reserved_page_count) as '内部对象保留的页数', --包含已分配区中的未使用页数
SUM (version_store_reserved_page_count) as '版本存储保留的页数',
SUM (unallocated_extent_page_count) as '未分配的区中包含的页数', --不包含已分配区中的未使用页数
SUM(mixed_extent_page_count) as '文件的已分配混合区中:已分配页和未分配页' --包含IAM页
From sys.dm_db_file_space_usage
--Where database_id = 2
group by DB_NAME(database_id)
--能够反映当时tempdb空间的总体分配,申请空间的会话正在运行的语句
SELECT t1.session_id,
t1.internal_objects_alloc_page_count,
t1.user_objects_alloc_page_count,
t1.internal_objects_dealloc_page_count ,
t1.user_objects_dealloc_page_count,
t.text
from sys.dm_db_session_space_usage t1 --反映每个session的累计空间申请
inner join sys.dm_exec_sessions as t2
on t1.session_id = t2.session_id
inner join sys.dm_exec_requests t3
on t2.session_id = t3.session_id
cross apply sys.dm_exec_sql_text(t3.sql_handle) t
where t1.internal_objects_alloc_page_count>0 or
t1.user_objects_alloc_page_count >0 or
t1.internal_objects_dealloc_page_count>0 or
t1.user_objects_dealloc_page_count>0
--返回tempdb中页分配和释放活动，
--只有当任务正在运行时，sys.dm_db_task_space_usage才会返回值
--在请求完成时，这些值将按session聚合体现在SYS.dm_db_session_space_usage
select t.session_id,
t.request_id,
t.database_id,
t.user_objects_alloc_page_count,
t.internal_objects_dealloc_page_count,
t.internal_objects_alloc_page_count,
t.internal_objects_dealloc_page_count
from sys.dm_db_task_space_usage t
inner join sys.dm_exec_sessions e
on t.session_id = e.session_id
inner join sys.dm_exec_requests r
on t.session_id = r.session_id and
t.request_id = r.request_id
--
-----------------------------------------------------------------------------------
--
--6. 锁
-----------------------------------------------------------------------------------
--
--1.检查锁与等待
exec sp_lock
--2.检查死锁
exec sp_who_lock --自己写个存储过程即可
/*
create procedure sp_who_lock
as
begin
declare @spid int,@bl int,
@intTransactionCountOnEntry int,
@intRowcount int,
@intCountProperties int,
@intCounter int
create table #tmp_lock_who (id int identity(1,1),spid smallint,bl smallint)
IF @@ERROR<>0 RETURN @@ERROR
insert into #tmp_lock_who(spid,bl) select 0 ,blocked
from (select * from sys.sysprocesses where blocked>0 ) a
where not exists(select * from (select * from sys.sysprocesses where blocked>0 ) b
where a.blocked=spid)
union select spid,blocked from sys.sysprocesses where blocked>0
IF @@ERROR<>0 RETURN @@ERROR
-- 找到临时表的记录数
select @intCountProperties = Count(*),@intCounter = 1
from #tmp_lock_who
IF @@ERROR<>0 RETURN @@ERROR
if @intCountProperties=0
select '现在没有阻塞和死锁信息' as message
-- 循环开始
while @intCounter <= @intCountProperties
begin
-- 取第一条记录
select @spid = spid,@bl = bl
from #tmp_lock_who where id = @intCounter
begin
if @spid =0
select '引起数据库死锁的是: '+ CAST(@bl AS VARCHAR(10)) + '进程号,其执行的SQL语法如下'
else
select '进程号SPID：'+ CAST(@spid AS VARCHAR(10))+ '被' + '进程号SPID：'+ CAST(@bl AS VARCHAR(10)) +'阻塞,其当前进程执行的SQL语法如下'
DBCC INPUTBUFFER (@bl )
end
-- 循环指针下移
set @intCounter = @intCounter + 1
end
drop table #tmp_lock_who
return 0
end
*/
--3.查看阻塞信息
select spid,
loginame,
waitresource
from master..sysprocesses
where blocked <> 0
--4.查看语句
dbcc inputbuffer(53)
--5.查看锁的信息
exec sp_lock @spid1 = 53
--6.打开数据库
select *
from sysdatabases
where dbid = 1
--7.根据锁信息中的ObjId列：1335727861，找到了这个xx表
select *
from sysobjects
where id = 1335727861
--8. Clear Wait Stats with this command
-- DBCC SQLPERF('sys.dm_os_wait_stats', CLEAR);
-- Isolate top waits for server instance since last restart or wait statistics clear (Query 32) (Top Waits)
-- Cumulative wait stats are not as useful on an idle instance that is not under load or performance pressure
-- The SQL Server Wait Type Repository
-- http://blogs.msdn.com/b/psssql/archive/2009/11/03/the-sql-server-wait-type-repository.aspx
-- Wait statistics, or please tell me where it hurts
-- http://www.sqlskills.com/blogs/paul/wait-statistics-or-please-tell-me-where-it-hurts/
-- SQL Server 2005 Performance Tuning using the Waits and Queues
-- http://technet.microsoft.com/en-us/library/cc966413.aspx
-- sys.dm_os_wait_stats (Transact-SQL)
-- http://msdn.microsoft.com/en-us/library/ms179984(v=sql.120).aspx
;WITH [Waits]
AS
(
SELECT wait_type, wait_time_ms/ 1000.0 AS [WaitS],
(wait_time_ms - signal_wait_time_ms) / 1000.0 AS [ResourceS],
signal_wait_time_ms / 1000.0 AS [SignalS],
waiting_tasks_count AS [WaitCount],
100.0 * wait_time_ms / SUM (wait_time_ms) OVER() AS [Percentage],
ROW_NUMBER() OVER(ORDER BY wait_time_ms DESC) AS [RowNum]
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')
AND waiting_tasks_count > 0
)
SELECT MAX (W1.wait_type) AS [WaitType],
CAST (MAX (W1.WaitS) AS DECIMAL (16,2)) AS [Wait_Sec],
CAST (MAX (W1.ResourceS) AS DECIMAL (16,2)) AS [Resource_Sec],
CAST (MAX (W1.SignalS) AS DECIMAL (16,2)) AS [Signal_Sec],
MAX (W1.WaitCount) AS [Wait Count],
CAST (MAX (W1.Percentage) AS DECIMAL (5,2)) AS [Wait Percentage],
CAST ((MAX (W1.WaitS) / MAX (W1.WaitCount)) AS DECIMAL (16,4)) AS [AvgWait_Sec],
CAST ((MAX (W1.ResourceS) / MAX (W1.WaitCount)) AS DECIMAL (16,4)) AS [AvgRes_Sec],
CAST ((MAX (W1.SignalS) / MAX (W1.WaitCount)) AS DECIMAL (16,4)) AS [AvgSig_Sec]
FROM Waits AS W1
INNER JOIN Waits AS W2
ON W2.RowNum <= W1.RowNum
GROUP BY W1.RowNum
HAVING SUM (W2.Percentage) - MAX (W1.Percentage) < 99 -- percentage threshold
OPTION (RECOMPILE);
--9. Signal Waits for instance (Query 33) (Signal Waits)
-- Signal Waits above 10-15% is usually a confirming sign of CPU pressure
-- Cumulative wait stats are not as useful on an idle instance that is not under load or performance pressure
-- Resource waits are non-CPU related waits
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);
--10. Detect blocking (run multiple times) (Query 62) (Detect Blocking)
-- Helps troubleshoot blocking and deadlocking issues
-- The results will change from second to second on a busy system
-- You should run this query multiple times when you see signs of blocking
SELECT t1.resource_type AS [lock type],
DB_NAME(resource_database_id) AS [database],
t1.resource_associated_entity_id AS [blk object],t1.request_mode AS [lock req], --- lock requested
t1.request_session_id AS [waiter sid], t2.wait_duration_ms AS [wait time], -- spid of waiter
(
SELECT [text]
FROM sys.dm_exec_requests AS r WITH (NOLOCK) -- get sql for waiter
CROSS APPLY sys.dm_exec_sql_text(r.[sql_handle])
WHERE r.session_id = t1.request_session_id
) AS [waiter_batch],
(
SELECT SUBSTRING(qt.[text],r.statement_start_offset/2,
(
CASE WHEN r.statement_end_offset = -1 THEN LEN(CONVERT(nvarchar(max), qt.[text])) * 2
ELSE r.statement_end_offset END - r.statement_start_offset)/2
)
FROM sys.dm_exec_requests AS r WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(r.[sql_handle]) AS qt
WHERE r.session_id = t1.request_session_id
) AS [waiter_stmt], -- statement blocked
t2.blocking_session_id AS [blocker sid], -- spid of blocker
(
SELECT [text]
FROM sys.sysprocesses AS p -- get sql for blocker
CROSS APPLY sys.dm_exec_sql_text(p.[sql_handle])
WHERE p.spid = t2.blocking_session_id
) AS [blocker_stmt]
FROM sys.dm_tran_locks AS t1 WITH (NOLOCK)
INNER JOIN sys.dm_os_waiting_tasks AS t2 WITH (NOLOCK)
ON t1.lock_owner_address = t2.resource_address OPTION (RECOMPILE);
--11. Get lock waits for current database (Query 68) (Lock Waits)
-- This query is helpful for troubleshooting blocking and deadlocking issues
SELECT o.name AS [table_name],
i.name AS [index_name],
ios.index_id,
ios.partition_number,
SUM(ios.row_lock_wait_count) AS [total_row_lock_waits],
SUM(ios.row_lock_wait_in_ms) AS [total_row_lock_wait_in_ms],
SUM(ios.page_lock_wait_count) AS [total_page_lock_waits],
SUM(ios.page_lock_wait_in_ms) AS [total_page_lock_wait_in_ms],
SUM(ios.page_lock_wait_in_ms)+ SUM(row_lock_wait_in_ms) AS [total_lock_wait_in_ms]
FROM sys.dm_db_index_operational_stats(DB_ID(), NULL, NULL, NULL) AS ios
INNER JOIN sys.objects AS o WITH (NOLOCK)
ON ios.[object_id] = o.[object_id]
INNER JOIN sys.indexes AS i WITH (NOLOCK)
ON ios.[object_id] = i.[object_id] AND ios.index_id = i.index_id
WHERE o.[object_id] > 100
GROUP BY o.name, i.name, ios.index_id, ios.partition_number
HAVING SUM(ios.page_lock_wait_in_ms)+ SUM(row_lock_wait_in_ms) > 0
ORDER BY total_lock_wait_in_ms DESC OPTION (RECOMPILE);
--12. Look at recent Full backups for the current database (Query 69) (Recent Full Backups)
-- Are your backup sizes and times changing over time?
-- Are you using backup compression?
SELECT TOP (30) bs.machine_name,
bs.server_name,
bs.database_name AS [Database Name],
bs.recovery_model,
CONVERT (BIGINT, bs.backup_size / 1048576 ) AS [Uncompressed Backup Size (MB)],
CONVERT (BIGINT, bs.compressed_backup_size / 1048576 ) AS [Compressed Backup Size (MB)],
CONVERT (NUMERIC (20,2), (CONVERT (FLOAT, bs.backup_size) / CONVERT (FLOAT, bs.compressed_backup_size))) AS [Compression Ratio],
DATEDIFF (SECOND, bs.backup_start_date, bs.backup_finish_date) AS [Backup Elapsed Time (sec)],
bs.backup_finish_date AS [Backup Finish Date]
FROM msdb.dbo.backupset AS bs WITH (NOLOCK)
WHERE DATEDIFF (SECOND, bs.backup_start_date, bs.backup_finish_date) > 0
AND bs.backup_size > 0
AND bs.[type] = 'D' -- Change to L if you want Log backups
AND database_name = DB_NAME(DB_ID())
ORDER BY bs.backup_finish_date DESC OPTION (RECOMPILE);
-- These three Pluralsight Courses go into more detail about how to run these queries and interpret the results
-- SQL Server 2014 DMV Diagnostic Queries ? Part 1
-- http://www.pluralsight.com/courses/sql-server-2014-dmv-diagnostic-queries-part1
-- SQL Server 2014 DMV Diagnostic Queries ? Part 2
-- http://www.pluralsight.com/courses/sql-server-2014-dmv-diagnostic-queries-part2
-- SQL Server 2014 DMV Diagnostic Queries ? Part 3
-- http://www.pluralsight.com/courses/sql-server-2014-dmv-diagnostic-queries-part3
--
-----------------------------------------------------------------------------------
--
--7. top 语句
-----------------------------------------------------------------------------------
--
--1.SQL Server启动以来累计使用CPU资源最多的语句。
select highest_cpu_queries.*,
q.dbid,
q.objectid,
q.number,
q.encrypted,
q.[text]
from
(
select top 10 qs.*
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
--where text like '%%'
order by highest_cpu_queries.total_worker_time desc
--2.我们也可以找到最经常做编重新译的存储过程
select top 10
a.sql_handle,
a.plan_generation_num,
a.execution_count,
s.dbid,
s.objectid,
s.text
from sys.dm_exec_query_stats a
cross apply sys.dm_exec_sql_text(sql_handle) as s
where plan_generation_num >1
order by plan_generation_num desc
--3.返回做IO数目最多的10条语句以及它们的执行计划
select top 10
(qs.total_logical_reads / qs.execution_count) as avg_logical_reads,
(qs.total_logical_writes / qs.execution_count) as avg_logical_writes,
(qs.total_physical_reads / qs.execution_count) as avg_phys_reads,
qs.execution_count,
qs.statement_start_offset,
qs.statement_end_offset,
qt.dbid,
qt.objectid,
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 + 1
) as statement
from sys.dm_exec_query_stats qs
cross apply sys.dm_exec_sql_text(sql_handle) as qt
cross apply sys.dm_exec_query_plan(plan_handle) as q
order by
(total_logical_reads + total_logical_writes) / Execution_count Desc
--4.返回最经常运行的10条语句
SELECT TOP 10
cp.cacheobjtype,
cp.usecounts, --使用这个缓存的执行计划的次数
cp.size_in_bytes, --缓存的执行计划使用的字节数
qs.execution_count, --执行次数,与usecounts相等.
qs.plan_generation_num, --用来区分:重新编译语句和存储过程
qs.statement_start_offset,
qs.statement_end_offset,
qt.dbid,
qt.objectid,
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 + 1
) as statement
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 and cp.plan_handle=qs.plan_handle
where cp.usecounts>4
ORDER BY [dbid],[Usecounts] DESC
--5. Find single-use, ad-hoc and prepared queries that are bloating the plan cache (Query 44) (Ad hoc Queries)
-- Gives you the text, type and size of single-use ad-hoc and prepared queries that waste space in the plan cache
-- Enabling 'optimize for ad hoc workloads' for the instance can help (SQL Server 2008 and above only)
-- Running DBCC FREESYSTEMCACHE ('SQL Plans') periodically may be required to better control this.
-- Enabling forced parameterization for the database can help, but test first!
SELECT TOP(50) [text] AS [QueryText],
cp.cacheobjtype,
cp.objtype,
cp.size_in_bytes/1024 AS [Plan Size in KB]
FROM sys.dm_exec_cached_plans AS cp WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(plan_handle)
WHERE cp.cacheobjtype = N'Compiled Plan'
AND cp.objtype IN (N'Adhoc', N'Prepared')
AND cp.usecounts = 1
ORDER BY cp.size_in_bytes DESC OPTION (RECOMPILE);
--6. Top cached queries by Execution Count (SQL Server 2012) (Query 47) (Query Execution Counts)
-- Uses several new rows returned columns to help troubleshoot performance problems
SELECT TOP (100) qs.execution_count,
qs.total_rows,
qs.last_rows,
qs.min_rows,
qs.max_rows,
qs.last_elapsed_time,
qs.min_elapsed_time,
qs.max_elapsed_time,
total_worker_time,
total_logical_reads,
SUBSTRING
(
qt.TEXT,qs.statement_start_offset/2 +1,
(
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
) AS query_text
FROM sys.dm_exec_query_stats AS qs WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS qt
WHERE qt.dbid = DB_ID()
ORDER BY qs.execution_count DESC OPTION (RECOMPILE);
--7. Top Cached SPs By Execution Count (SQL Server 2012) (Query 48) (SP Execution Counts)
-- Tells you which cached stored procedures are called the most often
-- This helps you characterize and baseline your workload
SELECT TOP(100) p.name AS [SP Name],
qs.execution_count,
ISNULL(qs.execution_count/DATEDIFF(Minute, qs.cached_time, GETDATE()), 0) AS [Calls/Minute],
qs.total_worker_time/qs.execution_count AS [AvgWorkerTime],
qs.total_worker_time AS [TotalWorkerTime],
qs.total_elapsed_time,
qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
qs.cached_time
FROM sys.procedures AS p WITH (NOLOCK)
INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK)
ON p.[object_id] = qs.[object_id]
WHERE qs.database_id = DB_ID()
ORDER BY qs.execution_count DESC OPTION (RECOMPILE);
--8. Top Cached SPs By Avg Elapsed Time (SQL Server 2012) (Query 49) (SP Avg Elapsed Time)
-- This helps you find long-running cached stored procedures that
-- may be easy to optimize with standard query tuning techniques
SELECT TOP(25) p.name AS [SP Name],
qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
qs.total_elapsed_time,
qs.execution_count,
ISNULL(qs.execution_count/DATEDIFF(Minute,
qs.cached_time,
GETDATE()), 0) AS [Calls/Minute],
qs.total_worker_time/qs.execution_count AS [AvgWorkerTime],
qs.total_worker_time AS [TotalWorkerTime],
qs.cached_time
FROM sys.procedures AS p WITH (NOLOCK)
INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK)
ON p.[object_id] = qs.[object_id]
WHERE qs.database_id = DB_ID()
ORDER BY avg_elapsed_time DESC OPTION (RECOMPILE);
--9. Top Cached SPs By Avg Elapsed Time with execution time variability (SQL Server 2012) (Query 50) (SP Avg Elapsed Variable Time)
-- This gives you some interesting information about the variability in the
-- execution time of your cached stored procedures, which is useful for tuning
SELECT TOP(25) p.name AS [SP Name],
qs.execution_count,
qs.min_elapsed_time,
qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
qs.max_elapsed_time,
qs.last_elapsed_time,
qs.cached_time
FROM sys.procedures AS p WITH (NOLOCK)
INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK)
ON p.[object_id] = qs.[object_id]
WHERE qs.database_id = DB_ID()
ORDER BY avg_elapsed_time DESC OPTION (RECOMPILE);
--10. Top Cached SPs By Total Worker time (SQL Server 2012). Worker time relates to CPU cost (Query 51) (SP Worker Time)
-- This helps you find the most expensive cached stored procedures from a CPU perspective
-- You should look at this if you see signs of CPU pressure
SELECT TOP(25) p.name AS [SP Name],
qs.total_worker_time AS [TotalWorkerTime],
qs.total_worker_time/qs.execution_count AS [AvgWorkerTime],
qs.execution_count,
ISNULL(qs.execution_count/DATEDIFF(Minute, qs.cached_time, GETDATE()), 0) AS [Calls/Minute],
qs.total_elapsed_time,
qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
qs.cached_time
FROM sys.procedures AS p WITH (NOLOCK)
INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK)
ON p.[object_id] = qs.[object_id]
WHERE qs.database_id = DB_ID()
ORDER BY qs.total_worker_time DESC OPTION (RECOMPILE);
--11. Top Cached SPs By Total Logical Reads (SQL Server 2012). Logical reads relate to memory pressure (Query 52) (SP Logical Reads)
-- This helps you find the most expensive cached stored procedures from a memory perspective
-- You should look at this if you see signs of memory pressure
SELECT TOP(25) p.name AS [SP Name],
qs.total_logical_reads AS [TotalLogicalReads],
qs.total_logical_reads/qs.execution_count AS [AvgLogicalReads],
qs.execution_count,
ISNULL(qs.execution_count/DATEDIFF(Minute, qs.cached_time, GETDATE()), 0) AS [Calls/Minute],
qs.total_elapsed_time,
qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
qs.cached_time
FROM sys.procedures AS p WITH (NOLOCK)
INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK)
ON p.[object_id] = qs.[object_id]
WHERE qs.database_id = DB_ID()
ORDER BY qs.total_logical_reads DESC OPTION (RECOMPILE);
--12. Top Cached SPs By Total Physical Reads (SQL Server 2012). Physical reads relate to disk I/O pressure (Query 53) (SP Physical Reads)
-- This helps you find the most expensive cached stored procedures from a read I/O perspective
-- You should look at this if you see signs of I/O pressure or of memory pressure
SELECT TOP(25) p.name AS [SP Name],qs.total_physical_reads AS [TotalPhysicalReads],
qs.total_physical_reads/qs.execution_count AS [AvgPhysicalReads], qs.execution_count,
qs.total_logical_reads,qs.total_elapsed_time, qs.total_elapsed_time/qs.execution_count
AS [avg_elapsed_time], qs.cached_time
FROM sys.procedures AS p WITH (NOLOCK)
INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK)
ON p.[object_id] = qs.[object_id]
WHERE qs.database_id = DB_ID()
AND qs.total_physical_reads > 0
ORDER BY qs.total_physical_reads DESC, qs.total_logical_reads DESC OPTION (RECOMPILE);
--13. Top Cached SPs By Total Logical Writes (SQL Server 2012) (Query 54) (SP Logical Writes)
-- Logical writes relate to both memory and disk I/O pressure
-- This helps you find the most expensive cached stored procedures from a write I/O perspective
-- You should look at this if you see signs of I/O pressure or of memory pressure
SELECT TOP(25) p.name AS [SP Name], qs.total_logical_writes AS [TotalLogicalWrites],
qs.total_logical_writes/qs.execution_count AS [AvgLogicalWrites], qs.execution_count,
ISNULL(qs.execution_count/DATEDIFF(Minute, qs.cached_time, GETDATE()), 0) AS [Calls/Minute],
qs.total_elapsed_time, qs.total_elapsed_time/qs.execution_count AS [avg_elapsed_time],
qs.cached_time
FROM sys.procedures AS p WITH (NOLOCK)
INNER JOIN sys.dm_exec_procedure_stats AS qs WITH (NOLOCK)
ON p.[object_id] = qs.[object_id]
WHERE qs.database_id = DB_ID()
AND qs.total_logical_writes > 0
ORDER BY qs.total_logical_writes DESC OPTION (RECOMPILE);
--14. Lists the top statements by average input/output usage for the current database (Query 55) (Top IO Statements)
-- Helps you find the most expensive statements for I/O by SP
SELECT TOP(50) OBJECT_NAME(qt.objectid, dbid) AS [SP Name],
(qs.total_logical_reads + qs.total_logical_writes) /qs.execution_count AS [Avg IO],
qs.execution_count AS [Execution Count],
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
) AS [Query Text]
FROM sys.dm_exec_query_stats AS qs WITH (NOLOCK)
CROSS APPLY sys.dm_exec_sql_text(qs.sql_handle) AS qt
WHERE qt.[dbid] = DB_ID()
ORDER BY [Avg IO] DESC OPTION (RECOMPILE);
--15. Possible Bad NC Indexes (writes > reads) (Query 56) (Bad NC Indexes)
-- Look for indexes with high numbers of writes and zero or very low numbers of reads
-- Consider your complete workload, and how long your instance has been running
-- Investigate further before dropping an index!
SELECT OBJECT_NAME(s.[object_id]) AS [Table Name], i.name AS [Index Name], i.index_id,
i.is_disabled, i.is_hypothetical, i.has_filter, i.fill_factor,
user_updates AS [Total Writes], user_seeks + user_scans + user_lookups AS [Total Reads],
user_updates - (user_seeks + user_scans + user_lookups) AS [Difference]
FROM sys.dm_db_index_usage_stats AS s WITH (NOLOCK)
INNER JOIN sys.indexes AS i WITH (NOLOCK)
ON s.[object_id] = i.[object_id]
AND i.index_id = s.index_id
WHERE OBJECTPROPERTY(s.[object_id],'IsUserTable') = 1
AND s.database_id = DB_ID()
AND user_updates > (user_seeks + user_scans + user_lookups)
AND i.index_id > 1
ORDER BY [Difference] DESC, [Total Writes] DESC, [Total Reads] ASC OPTION (RECOMPILE);
--16. Find missing index warnings for cached plans in the current database (Query 58) (Missing Index Warnings)
-- Note: This query could take some time on a busy instance
-- Helps you connect missing indexes to specific stored procedures or queries
-- This can help you decide whether to add them or not
SELECT TOP(25) OBJECT_NAME(objectid) AS [ObjectName],
query_plan, cp.objtype, cp.usecounts
FROM sys.dm_exec_cached_plans AS cp WITH (NOLOCK)
CROSS APPLY sys.dm_exec_query_plan(cp.plan_handle) AS qp
WHERE CAST(query_plan AS NVARCHAR(MAX)) LIKE N'%MissingIndex%'
AND dbid = DB_ID()
ORDER BY cp.usecounts DESC OPTION (RECOMPILE);
--
-----------------------------------------------------------------------------------
--
--8. 进程，jobs
-----------------------------------------------------------------------------------
--
--1.用户和进程信息
exec sp_who
exec sp_who2
--2.活动用户和进程的信息
exec sp_who 'active'
--3.查看进程中正在执行的SQL
dbcc inputbuffer(10)
exec sp_who3
/*
CREATE PROCEDURE sp_who3 ( @SessionID INT = NULL )
AS
BEGIN
SELECT SPID = er.session_id ,
Status = ses.status ,
[Login] = ses.login_name ,
Host = ses.host_name ,
BlkBy = er.blocking_session_id ,
DBName = DB_NAME(er.database_id) ,
CommandType = er.command ,
SQLStatement = st.text ,
ObjectName = OBJECT_NAME(st.objectid) ,
ElapsedMS = er.total_elapsed_time ,
CPUTime = er.cpu_time ,
IOReads = er.logical_reads + er.reads ,
IOWrites = er.writes ,
LastWaitType = er.last_wait_type ,
StartTime = er.start_time ,
Protocol = con.net_transport ,
ConnectionWrites = con.num_writes ,
ConnectionReads = con.num_reads ,
ClientAddress = con.client_net_address ,
Authentication = con.auth_scheme
FROM sys.dm_exec_requests er
OUTER APPLY sys.dm_exec_sql_text(er.sql_handle) st
LEFT JOIN sys.dm_exec_sessions ses ON ses.session_id = er.session_id
LEFT JOIN sys.dm_exec_connections con ON con.session_id = ses.session_id
WHERE er.session_id > 50
AND @SessionID IS NULL
OR er.session_id = @SessionID
ORDER BY er.blocking_session_id DESC ,
er.session_id
END
*/
--4. Get SQL Server Agent jobs and Category information (Query 4) (SQL Server Agent Jobs)
-- Gives you some basic information about your SQL Server Agent jobs, who owns them and how they are configured
-- Look for Agent jobs that are not owned by sa
-- Look for jobs that have a notify_email_operator_id set to 0 (meaning no operator)
-- Look for jobs that have a notify_level_email set to 0 (meaning no e-mail is ever sent)
-- MSDN sysjobs documentation
-- http://msdn.microsoft.com/en-us/library/ms189817.aspx
SELECT sj.name AS [JobName],
sj.[description] AS [JobDescription],
SUSER_SNAME(sj.owner_sid) AS [JobOwner],
sj.date_created,
sj.[enabled],
sj.notify_email_operator_id,
sj.notify_level_email,
sc.name AS [CategoryName],
js.next_run_date,
js.next_run_time
FROM msdb.dbo.sysjobs AS sj WITH (NOLOCK)
INNER JOIN msdb.dbo.syscategories AS sc WITH (NOLOCK)
ON sj.category_id = sc.category_id
LEFT OUTER JOIN msdb.dbo.sysjobschedules AS js WITH (NOLOCK)
ON sj.job_id = js.job_id
ORDER BY sj.name OPTION (RECOMPILE);
--5. Get SQL Server Agent Alert Information (Query 5) (SQL Server Agent Alerts)
-- Gives you some basic information about your SQL Server Agent Alerts (which are different from SQL Server Agent jobs)
-- Read more about Agent Alerts here: http://www.sqlskills.com/blogs/glenn/creating-sql-server-agent-alerts-for-critical-errors/
SELECT name,
event_source,
message_id,
severity,
[enabled],
has_notification,
delay_between_responses,
occurrence_count,
last_occurrence_date,
last_occurrence_time
FROM msdb.dbo.sysalerts WITH (NOLOCK)
ORDER BY name OPTION (RECOMPILE);
--6. SQL Server Services information (SQL Server 2012) (Query 8) (SQL Server Services Info)
-- Tells you the account being used for the SQL Server Service and the SQL Agent Service
-- Shows the processid, when they were last started, and their current status
-- Shows whether you are running on a failover cluster instance
SELECT servicename,
process_id,
startup_type_desc,
status_desc,
last_startup_time,
service_account,
is_clustered,
cluster_nodename,
[filename]
FROM sys.dm_server_services WITH (NOLOCK) OPTION (RECOMPILE);
--7. Get logins that are connected and how many sessions they have (Query 34) (Connection Counts)
-- This can help characterize your workload and
-- determine whether you are seeing a normal level of activity
SELECT login_name,
[program_name],
COUNT(session_id) AS [session_count]
FROM sys.dm_exec_sessions WITH (NOLOCK)
GROUP BY login_name, [program_name]
ORDER BY COUNT(session_id) DESC OPTION (RECOMPILE);
--8. Get a count of SQL connections by IP address (Query 35) (Connection Counts by IP Address)
-- This helps you figure where your database load is coming from
-- and verifies connectivity from other machines
SELECT ec.client_net_address,
es.[program_name],
es.[host_name],
es.login_name,
COUNT(ec.session_id) AS [connection count]
FROM sys.dm_exec_sessions AS es WITH (NOLOCK)
INNER JOIN sys.dm_exec_connections AS ec WITH (NOLOCK)
ON es.session_id = ec.session_id
GROUP BY ec.client_net_address, es.[program_name], es.[host_name], es.login_name
ORDER BY ec.client_net_address, es.[program_name] OPTION (RECOMPILE);
--9. Get Average Task Counts (run multiple times) (Query 36) (Avg Task Counts)
-- Sustained values above 10 suggest further investigation in that area
-- High Avg Task Counts are often caused by blocking/deadlocking or other resource contention
-- Sustained values above 1 suggest further investigation in that area
-- High Avg Runnable Task Counts are a good sign of CPU pressure
-- High Avg Pending DiskIO Counts are a sign of disk pressure
SELECT AVG(current_tasks_count) AS [Avg Task Count],
AVG(runnable_tasks_count) AS [Avg Runnable Task Count],
AVG(pending_disk_io_count) AS [Avg Pending DiskIO Count]
FROM sys.dm_os_schedulers WITH (NOLOCK)
WHERE scheduler_id < 255 OPTION (RECOMPILE);
--10. Get CPU Utilization History for last 256 minutes (in one minute intervals) (Query 37) (CPU Utilization History)
-- This version works with SQL Server 2012
-- Look at the trend over the entire period.
-- Also look at high sustained Other Process CPU Utilization values
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);
GO
--it's over
时间： 2024-10-09 22:31:24