您的位置:首页 > 数据库

SQL Server内存故障排除

2016-06-16 11:36 453 查看
SQLServer内存故障排除

翻译自:https://blogs.msdn.microsoft.com/karthick_pk/2012/06/15/troubleshooting-sql-server-memory/

SQL Server内存故障排除的第一步,是识别是否低内存条件出现在了MemToLeave或BPool或者因为外部内存压力。

注意:如果你不知道什么是BPOOL或者MemToLeave。在排除SQLServer内存故障之前,请阅读SQLServer内存架构基础

如果你通过这篇博文不能找到原因,或者如果你想说明在SQL Server错误日志里dbcc memorystatus打印输出的错误,在这篇博文的评论部分或者在facebook用户组贴出来。我们将尝试协助你。

MemToLeave errors:

SQL Server 2000
WARNING: Failed to reserve contiguousmemory of Size= 65536.
WARNING: Clearing procedure cache to freecontiguous memory.
Error: 17802 “Could not create server eventthread.”
SQL Server could not spawn process_loginreadthread.

SQL Server 2005/2008
Failed Virtual Allocate Bytes:FAIL_VIRTUAL_RESERVE 122880

Failed to initialize the CommonLanguage Runtime (CLR) v2.0.50727 due to memory pressure. This is probably dueto memory pressure in the MemToLeave region of memory

Buffer Pool errors:
BPool::Map: no remappableaddress found.

BufferPool out of memorycondition

LazyWriter: warning, no freebuffers found.

Either BPool (or) MemToLeave errors:

Error: 17803 “Insufficient memory available..”
Buffer Distribution:  Stolen=7901 Free=0 Procedures=1 Inram=201842Dirty=0 Kept=572…

Error: 701, Severity: 17,State: 123.
There is insufficient system memory to runthis query.
There is insufficient system memory inresource pool ‘default’ to run this query

Working set trim and page out errors(external memory pressure)

A significant part of SQL Server processmemory has been paged out. This may result in performance degradation.

A significant part of sql server processmemory has been paged out. This may result in a performance degradation.Duration: 0 seconds. Working set (KB): 2007640, committed (KB): 4594040, memoryutilization: 43%.

如果你看到以上错误,请跳转到SQLServer进程内存的重要部分被页交换出

第1部分(MTL错误):

如果问题是使用MTL,我们需要要确定SQL Server或者一些Non-SQL组件使用了大多数MemToLeave内存(记得MTL是什么吗?请参阅SQLServer内存架构)。

SQL Server 2000:在DBCCmemorystatus输出中,OS Reserved和OS Committed计数器将会告诉你SQL Server自己在MTL中使用了多少页。
注意:每页是8192字节,因此,MultipyOS Committed * 8192字节/1024 得到MB。

SQL Server 2005/2008:在SQL Server错误日志中OOM错误之后,立即打印的DBCCmemorystatus输出中,捕获所有节点(内存节点Id = 0,1..n)的MultiPage Allocator总和。这将告诉你SQL Server自己在MTL使用了多少KB。

你也可以从sys.dm_os_memory_clerks求multi_pages_kb的总和:

select sum(multi_pages_kb)  fromsys.dm_os_memory_clerks

如果SQL Server自身使用了MemToLeave内存的大部分,查看DBCC MEMORYSTATUS输出的MultiPage Allocator值,确定哪个memory clerk消耗内存的大多数。

Sys.dm_os_memory_clerks输出也将表明哪个memoryclerk正消耗MTL内存的大多数。使用以下查询。使用sys.dm_os_memory_objects将会深入了解。

select *  from sys.dm_os_memory_clerksorder by  multi_pages_kb  desc

select b.type,a.type,* fromsys.dm_os_memory_objects a,sys.dm_os_memory_clerks b
wherea.page_allocator_address=b.page_allocator_address order by  b.multi_pages_kb desc
,a.max_pages_allocated_count desc

如果SQL Server拥有的内存非常少,确定是否有COM对象、SQL Mail或第三方扩展存储过程正被使用,如果可能将它们从进程中移出。

COM对象:
COM对象可以在每个sp_OACreate调用中利用可选的第三个参数([context])从进程中移出。如果传递给sp_OACreate的第三个参数的int值为4,SQL将尝试在它自己的dllhost.exe进程的外部实例化该对象。更多关于[context]参数可以在联机帮助“sp_OACreate”专题里找到。
警告:大多数COM对象在进程外运行良好,而某些会失败。我们应该使用context=4运行一些功能性测试,确保它们的对象可以成功在进程外运行。

链接服务器OLEDB提供者:
链接服务器OLEDB提供者可以通过设置“AllowInProcess”OLEDB提供者选项将该提供者设置为0来移出进程。对于每个SQL实例提供者选项存储在注册表的以下位置:
Default Instance:HKLM\SOFTWARE\Microsoft\MSSQLServer\Providers
Named Instance: HKLM\SOFTWARE\Microsoft\Microsoft SQL
Server\<instance>\Providers
如果对于相关第三方提供者的AllowInProcess注册表值不存在,以REG_DWORD值创建它并赋值为0.有些OLEDB提供者不能被成功移出进程,但是大多数可以。

扩展存储过程:
扩展存储过程总是在进程内运行;没有直接的方法移出进程。然而,在某些情况下可以将扩展存储过程放在一个独立的SQL实例,并使用服务器对服务器的RPC调用来在远程实例执行它们。该技术在KB 243428中有详细描述。

第2部分(BPOOL错误):

如果问题是使用BPOOL,在SQL Server错误日志的OOM错误后立即打印的DBCC memorystatus输出,捕获所有节点(内存节点Id=0,1..n)的singlePageAllocator总和。这将会告诉你在MTL中每个memory clerk使用了多少KB。

Sys.dm_os_memory_clerks输出也表明哪个memoryclerk正消耗大多数BPOOL(single_pages_kb)内存。使用以下查询,你可以通过sys.dm_os_memory_objects深入了解:

select *  from sys.dm_os_memory_clerksorder by  Single_pages_kb  desc

select b.type,a.type,* fromsys.dm_os_memory_objects a,sys.dm_os_memory_clerks b
wherea.page_allocator_address=b.page_allocator_address order by  b.single_pages_kb desc

sys.dm_os_memory_clerks可以提供SQLServer内存状态的完整图片,并可以sys.dm_os_memory_objects细化。
注意:single_pages_kb是Bpool,multi_pages_kb是MTL

可以帮助SQL Server内存故障排除的其他视图:
select * from sys.dm_os_memory_objects
select * from sys.dm_os_memory_pools
select * from sys.dm_os_memory_nodes
select * fromsys.dm_os_memory_cache_entries
select * fromsys.dm_os_memory_cache_hash_tables

一些用于SQL Server内存故障排除的查询:
--Bpool statistics

select
(cast(bpool_committed as bigint) * 8192)/(1024*1024)  as bpool_committed_mb,
(cast(bpool_commit_target as bigint) *8192) / (1024*1024) as bpool_target_mb,
(cast(bpool_visible as bigint)* 8192) /(1024*1024) as bpool_visible_mb
from sys.dm_os_sys_info
go

-- Get me physical RAM installed and sizeof user VAS
select physical_memory_in_bytes/(1024*1024)as phys_mem_mb,
virtual_memory_in_bytes/(1024*1024) asuser_virtual_address_space_size
from sys.dm_os_sys_info
go

--System memory information

select total_physical_memory_kb/(1024) asphys_mem_mb,
available_physical_memory_kb/(1024) asavail_phys_mem_mb,
system_cache_kb/(1024) as sys_cache_mb,
(kernel_paged_pool_kb+kernel_nonpaged_pool_kb)/(1024)as kernel_pool_mb,
total_page_file_kb/(1024) as total_virtual_memory_mb,
available_page_file_kb/(1024) asavailable_virtual_memory_mb,
system_memory_state_desc
from sys.dm_os_sys_memory
go

-- Memory utilized by SQLSERVR processGetMemoryProcessInfo() API used for this
select physical_memory_in_use_kb/(1024) assql_physmem_inuse_mb,
locked_page_allocations_kb/(1024) asawe_memory_mb,
total_virtual_address_space_kb/(1024) asmax_vas_mb,
virtual_address_space_committed_kb/(1024)as sql_committed_mb,
memory_utilization_percentage asworking_set_percentage,
virtual_address_space_available_kb/(1024)as vas_available_mb,
process_physical_memory_low asis_there_external_pressure,
process_virtual_memory_low asis_there_vas_pressure
from sys.dm_os_process_memory
go

--Reosurce monitor ringbuffer
select * from sys.dm_os_ring_buffers
where ring_buffer_type like'RING_BUFFER_RESOURCE%'
go

--Memory in each node

select memory_node_id as node,virtual_address_space_reserved_kb/(1024) as VAS_reserved_mb,
virtual_address_space_committed_kb/(1024)as virtual_committed_mb,
locked_page_allocations_kb/(1024) aslocked_pages_mb,
single_pages_kb/(1024) as single_pages_mb,
multi_pages_kb/(1024) as multi_pages_mb,
shared_memory_committed_kb/(1024) asshared_memory_mb
from sys.dm_os_memory_nodes
where memory_node_id != 64
go

--Vas summary
with vasummary(Size,reserved,free) as (select size = vadump.size,
reserved = SUM(case(convert(int,vadump.base) ^ 0)  when 0 then 0 else 1end),
free = SUM(case(convert(int, vadump.base) ^0x0) when 0 then 1 else 0 end)
from
(select CONVERT(varbinary,sum(region_size_in_bytes)) as size,
region_allocation_base_address as base
from sys.dm_os_virtual_address_dump
where region_allocation_base_address<> 0x0
group by region_allocation_base_address
UNION(
select CONVERT(varbinary,region_size_in_bytes),
region_allocation_base_address
from sys.dm_os_virtual_address_dump
where region_allocation_base_address = 0x0)
)
as vadump
group by size)
select * from vasummary
go

-- Clerks that are consuming memory
select * from sys.dm_os_memory_clerks
where (single_pages_kb > 0) or(multi_pages_kb > 0)
or (virtual_memory_committed_kb > 0)
go

-- Get me stolen pages
--
select (SUM(single_pages_kb)*1024)/8192 astotal_stolen_pages
from sys.dm_os_memory_clerks
go

-- Breakdown clerks with stolen pages
select type, name,sum((single_pages_kb*1024)/8192) as stolen_pages
from sys.dm_os_memory_clerks
where single_pages_kb > 0
group by type, name
order by stolen_pages desc
go

-- Non-Bpool allocation from SQL Serverclerks

select SUM(multi_pages_kb)/1024 astotal_multi_pages_mb
from sys.dm_os_memory_clerks
go
-- Who are Non-Bpool consumers
--
select type, name, sum(multi_pages_kb)/1024as multi_pages_mb
from sys.dm_os_memory_clerks
where multi_pages_kb > 0
group by type, name
order by multi_pages_mb desc
go

-- Let's now get the total consumption ofvirtual allocator
--
selectSUM(virtual_memory_committed_kb)/1024 as total_virtual_mem_mb
from sys.dm_os_memory_clerks
go

-- Breakdown the clerks who use virtualallocator
select type, name,sum(virtual_memory_committed_kb)/1024 as virtual_mem_mb
from sys.dm_os_memory_clerks
where virtual_memory_committed_kb > 0
group by type, name
order by virtual_mem_mb desc
go

-- memory allocated by AWE allocator API'S
select SUM(awe_allocated_kb)/1024 astotal_awe_allocated_mb
from sys.dm_os_memory_clerks
go

-- Who clerks consumes memory using AWE

select type, name,sum(awe_allocated_kb)/1024 as awe_allocated_mb
from sys.dm_os_memory_clerks
where awe_allocated_kb > 0
group by type, name
order by awe_allocated_mb desc
go

-- What is the total memory used by theclerks?
select (sum(multi_pages_kb)+
SUM(virtual_memory_committed_kb)+
SUM(awe_allocated_kb))/1024
from sys.dm_os_memory_clerks
go
--
-- Does this sync up with what the nodethinks?
--
selectSUM(virtual_address_space_committed_kb)/1024 as total_node_virtual_memory_mb,
SUM(locked_page_allocations_kb)/1024 astotal_awe_memory_mb,
SUM(single_pages_kb)/1024 astotal_single_pages_mb,
SUM(multi_pages_kb)/1024 astotal_multi_pages_mb
from sys.dm_os_memory_nodes
where memory_node_id != 64
go
--
-- Total memory used by SQL Server throughSQLOS memory nodes
-- including DAC node
-- What takes up the rest of the space?
select(SUM(virtual_address_space_committed_kb)+
SUM(locked_page_allocations_kb)+
SUM(multi_pages_kb))/1024 astotal_sql_memusage_mb
from sys.dm_os_memory_nodes
go
--
-- Who are the biggest cache stores?
select name, type,(SUM(single_pages_kb)+SUM(multi_pages_kb))/1024
as cache_size_mb
from sys.dm_os_memory_cache_counters
where type like 'CACHESTORE%'
group by name, type
order by cache_size_mb desc
go
--
-- Who are the biggest user stores?
select name, type,(SUM(single_pages_kb)+SUM(multi_pages_kb))/1024
as cache_size_mb
from sys.dm_os_memory_cache_counters
where type like 'USERSTORE%'
group by name, type
order by cache_size_mb desc
go
--
-- Who are the biggest object stores?
select name, type,(SUM(single_pages_kb)+SUM(multi_pages_kb))/1024
as cache_size_mb
from sys.dm_os_memory_clerks
where type like 'OBJECTSTORE%'
group by name, type
order by cache_size_mb desc
go

--Which object is really consuming fromclerk
select * from sys.dm_os_memory_clerks a
,sys.dm_os_memory_objects b
where a.page_allocator_address =b.page_allocator_address
--group by a.type, b.type
order by a.type, b.type
go

--To get the list of 3rd party DLL loadedinside SQL server memory
select * from sys.dm_os_loaded_moduleswhere company <> 'Microsoft Corporation'
go

--Which database page is in my memory
select db_name(database_id),(cast(count(*)as bigint)*8192)/1024/1024 as "size in mb" fromsys.dm_os_buffer_descriptors
group by db_name(database_id)

其他SQL Server内存博文:
https://mssqlwiki.com/sqlwiki/sql-performance/basics-of-sql-server-memory-architecture/
https://mssqlwiki.com/2012/05/18/sql-server-performance-degraded-in-32-bit-sql-server-after-i-adding-additional-ram/
https://mssqlwiki.com/2012/06/27/a-significant-part-of-sql-server-process-memory-has-been-paged-out/

其他性能博文:
https://mssqlwiki.com/sqlwiki/sql-performance/io-bottlenecks/
https://mssqlwiki.com/sqlwiki/sql-server-agent/sql-agent-maxworkerthreads-and-agent-subsystem/
https://mssqlwiki.com/sqlwiki/sql-performance/async_network_io-or-network_io/
内容来自用户分享和网络整理,不保证内容的准确性,如有侵权内容,可联系管理员处理 点击这里给我发消息
标签:  memory bpool MTL