您好, 欢迎来到 !    登录 | 注册 | | 设为首页 | 收藏本站

sql内存使用情况

wiki 2022/3/19 14:12:07 sqlserver 字数 5765 阅读 1607

sql内存使用情况
-- 查询SqlServer总体的内存使用情况
select      type
        , sum(virtual_memory_reserved_kb) VM_Reserved
        , sum(virtual_memory_committed_kb) VM_Commited
        , sum(awe_allocated_kb) AWE_Allocated
        , sum(shared_memory_reserved_kb) Shared_Reserved
        , sum(shared_memory_committed_kb) Shared_Commited
        --, sum(single_pages_kb)    --SQL2005、2008
        --, sum(multi_pages_kb)        --SQL2005、2008
from    sys.dm_os_memory_clerks
group by type
order by type

--查看每个数据库对内存的占用
SELECT 
    ISNULL(DB_NAME(DATABASE_ID),'RESOURCEDB') AS DATABASENAME,
    CAST(COUNT(ROW_COUNT) * 8.0 /(1024.0) AS DECIMAL(28,2)) AS 'SIZE(MB)'
FROM SYS.dm_os_buffer_descriptors
GROUP BY database_id
ORDER BY DATABASENAME


-- 查询当前数据库缓存的所有数据页面,哪些数据表,缓存的数据页面数量
-- 从这些信息可以看出,系统经常要访问的都是哪些表,有多大?
select p.object_id, object_name=object_name(p.object_id), p.index_id, buffer_pages=count(*) 
from sys.allocation_units a, 
    sys.dm_os_buffer_descriptors b, 
    sys.partitions p 
where a.allocation_unit_id=b.allocation_unit_id 
    and a.container_id=p.hobt_id 
    and b.database_id=db_id()
group by p.object_id,p.index_id 
order by buffer_pages desc 


-- 查询缓存的各类执行计划,及分别占了多少内存
-- 可以对比动态查询与参数化SQL(预定义语句)的缓存量
select    cacheobjtype
        , objtype
        , sum(cast(size_in_bytes as bigint))/1024 as size_in_kb
        , count(bucketid) as cache_count
from    sys.dm_exec_cached_plans
group by cacheobjtype, objtype
order by cacheobjtype, objtype


-- 查询缓存中具体的执行计划,及对应的SQL
-- 将此结果按照数据表或SQL进行统计,可以作为基线,调整索引时考虑
-- 查询结果会很大,注意将结果集输出到表或文件中
SELECT  usecounts ,
        refcounts ,
        size_in_bytes ,
        cacheobjtype ,
        objtype ,
        TEXT
FROM    sys.dm_exec_cached_plans cp
        CROSS APPLY sys.dm_exec_sql_text(plan_handle)
ORDER BY objtype DESC ;
GO










-----------查询缓存的表----------------------
SELECT count(*)*8 AS cached_pages_kb,obj.name ,obj.index_id,b.type_desc,b.name 
FROM sys.dm_os_buffer_descriptors AS bd 
INNER JOIN(SELECT object_name(object_id) AS name,index_id ,allocation_unit_id,object_id
   FROM sys.allocation_units AS au 
            INNER JOIN sys.partitions AS p ON au.container_id = p.hobt_id AND (au.type = 1 OR au.type = 3)
         UNION ALL 
   SELECT object_name(object_id) AS name,index_id, allocation_unit_id,object_id 
   FROM sys.allocation_units AS au 
   INNER JOIN sys.partitions AS p ON au.container_id = p.partition_id AND au.type = 2) AS obj 
        ON bd.allocation_unit_id = obj.allocation_unit_id 
LEFT JOIN sys.indexes b on b.object_id = obj.object_id AND b.index_id = obj.index_id  
WHERE database_id = db_id()  --and obj.name='StoreOut'
GROUP BY obj.name, obj.index_id ,b.name,b.type_desc 
ORDER BY cached_pages_kb DESC; 




-------------如果要查询是否连接没有释放引起的, 你可以用查询分析器连接到你的数据库服务器, 执行下面的代码:-----------------------------
select * from master.dbo.sysprocesses
where spid>50
and waittype = 0x0000
and waittime = 0
and status = 'sleeping'
and last_batch < dateadd(minute, -10, getdate())
and login_time < dateadd(minute, -10, getdate())





----mssql 判断sql语句的执行效率语句
SET STATISTICS io ON
SET STATISTICS time ON
go
--========此处为sql代码段===============
select count(1) from ProductInfo mb  where (1=1    and charindex('53875-027',mb.SeachKey)>=1 And mb.FactName in ('丰田','品牌') And mb.Status=1) 
select count(1) from ProductInfo mb  where (1=1    and exists(select *  from f_split('品牌,丰田',',') t where t.col=mb.FactName))

go
SET STATISTICS profile OFF
SET STATISTICS io OFF
SET STATISTICS time OFF


------------------------查询索引------------------------------------------------
SELECT CASE
           WHEN t.[type] = 'U' THEN
               '表'
           WHEN t.[type] = 'V' THEN
               '视图'
       END AS '类型',
       SCHEMA_NAME(t.schema_id) + '.' + t.[name] AS '(表/视图)名称',
'drop index [' + i.name + '] ON [' + t.name + ']' AS DropIndexCommand,

       i.[name] AS 索引名称,
       SUBSTRING(column_names, 1, LEN(column_names) - 1) AS '列名',
       CASE
           WHEN i.[type] = 1 THEN
               '聚集索引'
           WHEN i.[type] = 2 THEN
               '非聚集索引'
           WHEN i.[type] = 3 THEN
               'XML索引'
           WHEN i.[type] = 4 THEN
               '空间索引'
           WHEN i.[type] = 5 THEN
               '聚簇列存储索引'
           WHEN i.[type] = 6 THEN
               '非聚集列存储索引'
           WHEN i.[type] = 7 THEN
               '非聚集哈希索引'
       END AS '索引类型',
       CASE
           WHEN i.is_unique = 1 THEN
               '唯一'
           ELSE
               '不唯一'
       END AS '索引是否唯一'
FROM sys.objects t
    INNER JOIN sys.indexes i
        ON t.object_id = i.object_id
    CROSS APPLY
(
    SELECT col.[name] + ', '
    FROM sys.index_columns ic
        INNER JOIN sys.columns col
            ON ic.object_id = col.object_id
               AND ic.column_id = col.column_id
    WHERE ic.object_id = t.object_id
          AND ic.index_id = i.index_id
    ORDER BY col.column_id
    FOR XML PATH('')
) D(column_names)
WHERE t.is_ms_shipped <> 1
      AND index_id > 0
ORDER BY i.[name];


----------------查询索引碎片----------------------------------------
SELECT DB_NAME(ips.database_id) DBName,
   OBJECT_NAME(ips.object_id) ObjName,
   i.name IndexName,
   ips.avg_fragmentation_in_percent
FROM sys.dm_db_index_physical_stats(DB_ID('AppsDB'),
DEFAULT,DEFAULT,DEFAULT,default) ips
INNER JOIN sys.indexes i
ON ips.index_id = i.index_id AND
ips.object_id = i.object_id
WHERE 
ips.object_id>99 AND
ips.avg_fragmentation_in_percent>=10 AND
    ips.index_id>0

------------------------------------------------------------------
----------------查询表的索引信息-----------------------
DBCC ShowContig(StoreIn)

重建表的索引
DBCC DBREINDEX(表,'索引名称',填充因子) 
DBCC DBREINDEX(StoreIn,'',80) 
------------------------------------


如果您也喜欢它,动动您的小指点个赞吧

除非注明,文章均由 laddyq.com 整理发布,欢迎转载。

转载请注明:
链接:http://laddyq.com
来源:laddyq.com
著作权归作者所有。商业转载请联系作者获得授权,非商业转载请注明出处。


联系我
置顶