查询历史是否存储在一些日志文件中?如果有，你能告诉我怎么找到他们的位置吗?如果没有，你能给我一些建议吗?
当前回答
SELECT deqs.last_execution_time AS [Time], dest.text AS [Query], dest.*
FROM sys.dm_exec_query_stats AS deqs
CROSS APPLY sys.dm_exec_sql_text(deqs.sql_handle) AS dest
WHERE dest.dbid = DB_ID('msdb')
ORDER BY deqs.last_execution_time DESC
这将显示查询运行的时间和日期
其他回答
晚一点，但希望有用，因为它增加了更多的细节…
在默认情况下，无法查看在SSMS中执行的查询。不过也有几种选择。
读取事务日志-这不是一件容易的事情，因为它是私有格式。但是，如果您需要查看历史上执行的查询(除了SELECT)，这是唯一的方法。
您可以使用第三方工具，如ApexSQL日志和SQL日志救援(免费，但仅限SQL 2000)。查看这个线程的更多细节在这里SQL Server事务日志资源管理器/分析器
SQL Server分析器-最适合如果你只是想开始审计，你不感兴趣之前发生了什么。确保使用筛选器只选择您需要的事务。否则你很快就会得到大量的数据。
SQL Server跟踪—如果您想捕获所有或大部分命令，并将它们保存在跟踪文件中，以便稍后进行解析，则最适合。
触发器—如果您想捕获DML(除了select)并将它们存储在数据库中的某个地方，那么最适合使用它
如果您需要通过SMSS执行的查询的历史记录。
你可能想试试SSMSPlus。
https://github.com/akarzazi/SSMSPlus
这个特性在SSMS中并不是现成的。
您需要SSMS 18或更新版本。
声明:我是作者。
正如其他人所指出的，您可以使用SQL Profiler，但也可以通过sp_trace_*系统存储过程来利用它的功能。例如，这个SQL片段将(至少在2000年;我认为这对SQL 2008是一样的，但你必须仔细检查)捕获RPC:Completed和SQL:BatchCompleted事件的所有查询需要超过10秒运行，并将输出保存到一个跟踪文件，您可以在稍后的日期在SQL分析器中打开:
DECLARE @TraceID INT
DECLARE @ON BIT
DECLARE @RetVal INT
SET @ON = 1
exec @RetVal = sp_trace_create @TraceID OUTPUT, 2, N'Y:\TraceFile.trc'
print 'This trace is Trace ID = ' + CAST(@TraceID AS NVARCHAR)
print 'Return value = ' + CAST(@RetVal AS NVARCHAR)
-- 10 = RPC:Completed
exec sp_trace_setevent @TraceID, 10, 1, @ON -- Textdata
exec sp_trace_setevent @TraceID, 10, 3, @ON -- DatabaseID
exec sp_trace_setevent @TraceID, 10, 12, @ON -- SPID
exec sp_trace_setevent @TraceID, 10, 13, @ON -- Duration
exec sp_trace_setevent @TraceID, 10, 14, @ON -- StartTime
exec sp_trace_setevent @TraceID, 10, 15, @ON -- EndTime
-- 12 = SQL:BatchCompleted
exec sp_trace_setevent @TraceID, 12, 1, @ON -- Textdata
exec sp_trace_setevent @TraceID, 12, 3, @ON -- DatabaseID
exec sp_trace_setevent @TraceID, 12, 12, @ON -- SPID
exec sp_trace_setevent @TraceID, 12, 13, @ON -- Duration
exec sp_trace_setevent @TraceID, 12, 14, @ON -- StartTime
exec sp_trace_setevent @TraceID, 12, 15, @ON -- EndTime
-- Filter for duration [column 13] greater than [operation 2] 10 seconds (= 10,000ms)
declare @duration bigint
set @duration = 10000
exec sp_trace_setfilter @TraceID, 13, 0, 2, @duration
您可以从Books Online中找到每个跟踪事件、列等的ID;只需搜索sp_trace_create、sp_trace_setevent和sp_trace_setfiler sppros即可。然后，您可以像下面这样控制跟踪:
exec sp_trace_setstatus 15, 0 -- Stop the trace
exec sp_trace_setstatus 15, 1 -- Start the trace
exec sp_trace_setstatus 15, 2 -- Close the trace file and delete the trace settings
.．.其中'15'是跟踪ID(如上面的第一个脚本所删除的sp_trace_create所报告的)。
您可以查看哪些跟踪正在运行:
select * from ::fn_trace_getinfo(default)
我唯一要谨慎说的是——我不知道这会给你的系统带来多少负载;它将添加一些，但“一些”的大小可能取决于您的服务器有多忙。
一个稍微开箱即用的方法是在AutoHotKey中编写一个解决方案。我用了这个，它不是完美的，但是有效而且免费。从本质上讲，这个脚本为CTRL+SHIFT+R分配了一个热键，它将复制SSMS (CTRL+C)中所选的SQL，保存一个日期戳SQL文件，然后执行突出显示的查询(F5)。如果您不习惯AHK脚本，则前导分号是注释。
;CTRL+SHIFT+R to run a query that is first saved off
^+r::
;Copy
Send, ^c
; Set variables
EnvGet, HomeDir, USERPROFILE
FormatTime, DateString,,yyyyMMdd
FormatTime, TimeString,,hhmmss
; Make a spot to save the clipboard
FileCreateDir %HomeDir%\Documents\sqlhist\%DateString%
FileAppend, %Clipboard%, %HomeDir%\Documents\sqlhist\%DateString%\%TimeString%.sql
; execute the query
Send, {f5}
Return
最大的限制是，如果你点击“执行”而不是使用键盘快捷键，这个脚本将无法工作，并且这个脚本不会保存整个文件-只保存选中的文本。但是，您总是可以修改脚本以执行查询，然后在复制/保存之前选择所有(CTRL+A)。
使用具有“在文件中查找”功能的现代编辑器可以让您搜索SQL历史记录。您甚至可以把您的文件刮到SQLite3数据库中以查询您的查询。
查询历史可以通过系统视图查看:
sys.dm_exec_query_stats sys.dm_exec_sql_text sys.dm_exec_query_plan
例如，使用以下查询:
select top(100)
creation_time,
last_execution_time,
execution_count,
total_worker_time/1000 as CPU,
convert(money, (total_worker_time))/(execution_count*1000)as [AvgCPUTime],
qs.total_elapsed_time/1000 as TotDuration,
convert(money, (qs.total_elapsed_time))/(execution_count*1000)as [AvgDur],
total_logical_reads as [Reads],
total_logical_writes as [Writes],
total_logical_reads+total_logical_writes as [AggIO],
convert(money, (total_logical_reads+total_logical_writes)/(execution_count + 0.0)) as [AvgIO],
[sql_handle],
plan_handle,
statement_start_offset,
statement_end_offset,
plan_generation_num,
total_physical_reads,
convert(money, total_physical_reads/(execution_count + 0.0)) as [AvgIOPhysicalReads],
convert(money, total_logical_reads/(execution_count + 0.0)) as [AvgIOLogicalReads],
convert(money, total_logical_writes/(execution_count + 0.0)) as [AvgIOLogicalWrites],
query_hash,
query_plan_hash,
total_rows,
convert(money, total_rows/(execution_count + 0.0)) as [AvgRows],
total_dop,
convert(money, total_dop/(execution_count + 0.0)) as [AvgDop],
total_grant_kb,
convert(money, total_grant_kb/(execution_count + 0.0)) as [AvgGrantKb],
total_used_grant_kb,
convert(money, total_used_grant_kb/(execution_count + 0.0)) as [AvgUsedGrantKb],
total_ideal_grant_kb,
convert(money, total_ideal_grant_kb/(execution_count + 0.0)) as [AvgIdealGrantKb],
total_reserved_threads,
convert(money, total_reserved_threads/(execution_count + 0.0)) as [AvgReservedThreads],
total_used_threads,
convert(money, total_used_threads/(execution_count + 0.0)) as [AvgUsedThreads],
case
when sql_handle IS NULL then ' '
else(substring(st.text,(qs.statement_start_offset+2)/2,(
case
when qs.statement_end_offset =-1 then len(convert(nvarchar(MAX),st.text))*2
else qs.statement_end_offset
end - qs.statement_start_offset)/2 ))
end as query_text,
db_name(st.dbid) as database_name,
object_schema_name(st.objectid, st.dbid)+'.'+object_name(st.objectid, st.dbid) as [object_name],
sp.[query_plan]
from sys.dm_exec_query_stats as qs with(readuncommitted)
cross apply sys.dm_exec_sql_text(qs.[sql_handle]) as st
cross apply sys.dm_exec_query_plan(qs.[plan_handle]) as sp
WHERE st.[text] LIKE '%query%'
使用下面的脚本可以看到当前运行的查询:
select ES.[session_id]
,ER.[blocking_session_id]
,ER.[request_id]
,ER.[start_time]
,DateDiff(second, ER.[start_time], GetDate()) as [date_diffSec]
, COALESCE(
CAST(NULLIF(ER.[total_elapsed_time] / 1000, 0) as BIGINT)
,CASE WHEN (ES.[status] <> 'running' and isnull(ER.[status], '') <> 'running')
THEN DATEDIFF(ss,0,getdate() - nullif(ES.[last_request_end_time], '1900-01-01T00:00:00.000'))
END
) as [total_time, sec]
, CAST(NULLIF((CAST(ER.[total_elapsed_time] as BIGINT) - CAST(ER.[wait_time] AS BIGINT)) / 1000, 0 ) as bigint) as [work_time, sec]
, CASE WHEN (ER.[status] <> 'running' AND ISNULL(ER.[status],'') <> 'running')
THEN DATEDIFF(ss,0,getdate() - nullif(ES.[last_request_end_time], '1900-01-01T00:00:00.000'))
END as [sleep_time, sec] --Время сна в сек
, NULLIF( CAST((ER.[logical_reads] + ER.[writes]) * 8 / 1024 as numeric(38,2)), 0) as [IO, MB]
, CASE ER.transaction_isolation_level
WHEN 0 THEN 'Unspecified'
WHEN 1 THEN 'ReadUncommited'
WHEN 2 THEN 'ReadCommited'
WHEN 3 THEN 'Repetable'
WHEN 4 THEN 'Serializable'
WHEN 5 THEN 'Snapshot'
END as [transaction_isolation_level_desc]
,ER.[status]
,ES.[status] as [status_session]
,ER.[command]
,ER.[percent_complete]
,DB_Name(coalesce(ER.[database_id], ES.[database_id])) as [DBName]
, SUBSTRING(
(select top(1) [text] from sys.dm_exec_sql_text(ER.[sql_handle]))
, ER.[statement_start_offset]/2+1
, (
CASE WHEN ((ER.[statement_start_offset]<0) OR (ER.[statement_end_offset]<0))
THEN DATALENGTH ((select top(1) [text] from sys.dm_exec_sql_text(ER.[sql_handle])))
ELSE ER.[statement_end_offset]
END
- ER.[statement_start_offset]
)/2 +1
) as [CURRENT_REQUEST]
,(select top(1) [text] from sys.dm_exec_sql_text(ER.[sql_handle])) as [TSQL]
,(select top(1) [objectid] from sys.dm_exec_sql_text(ER.[sql_handle])) as [objectid]
,(select top(1) [query_plan] from sys.dm_exec_query_plan(ER.[plan_handle])) as [QueryPlan]
,NULL as [event_info]--(select top(1) [event_info] from sys.dm_exec_input_buffer(ES.[session_id], ER.[request_id])) as [event_info]
,ER.[wait_type]
,ES.[login_time]
,ES.[host_name]
,ES.[program_name]
,cast(ER.[wait_time]/1000 as decimal(18,3)) as [wait_timeSec]
,ER.[wait_time]
,ER.[last_wait_type]
,ER.[wait_resource]
,ER.[open_transaction_count]
,ER.[open_resultset_count]
,ER.[transaction_id]
,ER.[context_info]
,ER.[estimated_completion_time]
,ER.[cpu_time]
,ER.[total_elapsed_time]
,ER.[scheduler_id]
,ER.[task_address]
,ER.[reads]
,ER.[writes]
,ER.[logical_reads]
,ER.[text_size]
,ER.[language]
,ER.[date_format]
,ER.[date_first]
,ER.[quoted_identifier]
,ER.[arithabort]
,ER.[ansi_null_dflt_on]
,ER.[ansi_defaults]
,ER.[ansi_warnings]
,ER.[ansi_padding]
,ER.[ansi_nulls]
,ER.[concat_null_yields_null]
,ER.[transaction_isolation_level]
,ER.[lock_timeout]
,ER.[deadlock_priority]
,ER.[row_count]
,ER.[prev_error]
,ER.[nest_level]
,ER.[granted_query_memory]
,ER.[executing_managed_code]
,ER.[group_id]
,ER.[query_hash]
,ER.[query_plan_hash]
,EC.[most_recent_session_id]
,EC.[connect_time]
,EC.[net_transport]
,EC.[protocol_type]
,EC.[protocol_version]
,EC.[endpoint_id]
,EC.[encrypt_option]
,EC.[auth_scheme]
,EC.[node_affinity]
,EC.[num_reads]
,EC.[num_writes]
,EC.[last_read]
,EC.[last_write]
,EC.[net_packet_size]
,EC.[client_net_address]
,EC.[client_tcp_port]
,EC.[local_net_address]
,EC.[local_tcp_port]
,EC.[parent_connection_id]
,EC.[most_recent_sql_handle]
,ES.[host_process_id]
,ES.[client_version]
,ES.[client_interface_name]
,ES.[security_id]
,ES.[login_name]
,ES.[nt_domain]
,ES.[nt_user_name]
,ES.[memory_usage]
,ES.[total_scheduled_time]
,ES.[last_request_start_time]
,ES.[last_request_end_time]
,ES.[is_user_process]
,ES.[original_security_id]
,ES.[original_login_name]
,ES.[last_successful_logon]
,ES.[last_unsuccessful_logon]
,ES.[unsuccessful_logons]
,ES.[authenticating_database_id]
,ER.[sql_handle]
,ER.[statement_start_offset]
,ER.[statement_end_offset]
,ER.[plan_handle]
,NULL as [dop]--ER.[dop]
,coalesce(ER.[database_id], ES.[database_id]) as [database_id]
,ER.[user_id]
,ER.[connection_id]
from sys.dm_exec_requests ER with(readuncommitted)
right join sys.dm_exec_sessions ES with(readuncommitted)
on ES.session_id = ER.session_id
left join sys.dm_exec_connections EC with(readuncommitted)
on EC.session_id = ES.session_id
where ER.[status] in ('suspended', 'running', 'runnable')
or exists (select top(1) 1 from sys.dm_exec_requests as ER0 where ER0.[blocking_session_id]=ES.[session_id])
该请求显示所有活动请求和显式阻止活动请求的所有请求。
所有这些和其他有用的脚本都作为SRV数据库中的表示形式实现，该数据库是免费分发的。 例如，第一个脚本来自视图[inf]。[vBigQuery]，第二个来自视图[inf].[vRequests]。
对于查询历史，也有各种第三方解决方案。 我使用Dbeaver的查询管理器: 和SSMS内嵌的SQL Tools中的查询执行历史:
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