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  • Sql Server 索引使用情况及优化的相关 Sql

    Sql Server 索引使用情况及优化的相关 Sql 语句,非常好的SQL语句,记录于此:

    --Begin Index(索引) 分析优化的相关 Sql 

    -- 返回当前数据库所有碎片率大于25%的索引
    --
    运行本语句会扫描很多数据页面
    --
    避免在系统负载比较高时运行
    --
    避免在系统负载比较高时运行
    declare @dbid int
    select @dbid = db_id()
    SELECT o.name as tablename,s.* FROM sys.dm_db_index_physical_stats (@dbid, NULL, NULL, NULL, NULL) s,sys.objects o
    where avg_fragmentation_in_percent>25 and o.object_id =s.object_id
    order by avg_fragmentation_in_percent desc
    GO

    -- 当前数据库可能缺少的索引
    --
    非常好用的 Sql 语句
    select d.*
    , s.avg_total_user_cost
    , s.avg_user_impact
    , s.last_user_seek
    ,s.unique_compiles
    from sys.dm_db_missing_index_group_stats s
    ,sys.dm_db_missing_index_groups g
    ,sys.dm_db_missing_index_details d
    where s.group_handle = g.index_group_handle
    and d.index_handle = g.index_handle
    order by s.avg_user_impact desc
    go

    -- 自动重建或重新组织索引
    --
    比较好用,慎用,特别是对于在线 DB
    --
    Ensure a USE <databasename> statement has been executed first.
    SET NOCOUNT ON;
    DECLARE @objectid int;
    DECLARE @indexid int;
    DECLARE @partitioncount bigint;
    DECLARE @schemaname nvarchar(130);
    DECLARE @objectname nvarchar(130);
    DECLARE @indexname nvarchar(130);
    DECLARE @partitionnum bigint;
    DECLARE @partitions bigint;
    DECLARE @frag float;
    DECLARE @command nvarchar(4000);
    -- Conditionally select tables and indexes from the sys.dm_db_index_physical_stats function
    --
    and convert object and index IDs to names.
    SELECT
    object_id AS objectid,
    index_id
    AS indexid,
    partition_number
    AS partitionnum,
    avg_fragmentation_in_percent
    AS frag
    INTO #work_to_do
    FROM sys.dm_db_index_physical_stats (DB_ID(), NULL, NULL , NULL, 'LIMITED')
    WHERE avg_fragmentation_in_percent > 10.0 AND index_id > 0;

    -- Declare the cursor for the list of partitions to be processed.
    DECLARE partitions CURSOR FOR SELECT * FROM #work_to_do;

    -- Open the cursor.
    OPEN partitions;

    -- Loop through the partitions.
    WHILE (1=1)
    BEGIN;
    FETCH NEXT
    FROM partitions
    INTO @objectid, @indexid, @partitionnum, @frag;
    IF @@FETCH_STATUS < 0 BREAK;
    SELECT @objectname = QUOTENAME(o.name), @schemaname = QUOTENAME(s.name)
    FROM sys.objects AS o
    JOIN sys.schemas as s ON s.schema_id = o.schema_id
    WHERE o.object_id = @objectid;
    SELECT @indexname = QUOTENAME(name)
    FROM sys.indexes
    WHERE object_id = @objectid AND index_id = @indexid;
    SELECT @partitioncount = count (*)
    FROM sys.partitions
    WHERE object_id = @objectid AND index_id = @indexid;

    -- 30 is an arbitrary decision point at which to switch between reorganizing and rebuilding.
    IF @frag < 30.0
    SET @command = N'ALTER INDEX ' + @indexname + N' ON ' + @schemaname + N'.' + @objectname + N' REORGANIZE';
    IF @frag >= 30.0
    SET @command = N'ALTER INDEX ' + @indexname + N' ON ' + @schemaname + N'.' + @objectname + N' REBUILD';
    IF @partitioncount > 1
    SET @command = @command + N' PARTITION=' + CAST(@partitionnum AS nvarchar(10));
    EXEC (@command);
    PRINT N'Executed: ' + @command;
    END;

    -- Close and deallocate the cursor.
    CLOSE partitions;
    DEALLOCATE partitions;

    -- Drop the temporary table.
    DROP TABLE #work_to_do;
    GO


    -- 查看当前数据库索引的使用率
    --
    非常的有用
    SELECT
    object_name(object_id) as table_name,
    (
    select name
    from sys.indexes
    where object_id = stats.object_id and index_id = stats.index_id
    )
    as index_name,
    *
    FROM sys.dm_db_index_usage_stats as stats
    WHERE database_id = DB_ID()
    order by table_name


    -- 指定表的索引使用情况
    declare @table as nvarchar(100)
    set @table = 't_name';

    SELECT
    (
    select name
    from sys.indexes
    where object_id = stats.object_id and index_id = stats.index_id
    )
    as index_name,
    *
    FROM sys.dm_db_index_usage_stats as stats
    where object_id = object_id(@table)
    order by user_seeks, user_scans, user_lookups asc

    --End Index 分析优化的相关 Sql

    相关文章:Sql Server CPU 性能排查及优化的相关 Sql

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  • 原文地址:https://www.cnblogs.com/xunziji/p/2130630.html
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