[server] SQL 데이터베이스 실제 파일 조각화

인덱스가 애플리케이션에 맞게 최적화되지 않았고 데이터베이스를 최적화 할 Veritas I3이없는 경우 다음과 같은 명령문을 사용하여 누락 된 인덱스를 찾을 수 있습니다.

       SELECT
      mid.statement,
      mid.equality_columns,
      mid.inequality_columns,
      mid.included_columns,
      migs.user_seeks,
      migs.user_scans,
      migs.last_user_seek,
      migs.avg_user_impact,
      user_scans,
      avg_total_user_cost,
      avg_total_user_cost * avg_user_impact * (user_seeks + user_scans) AS [weight]--, migs.*--, mid.*
   FROM
      sys.dm_db_missing_index_group_stats AS migs
      INNER JOIN sys.dm_db_missing_index_groups AS mig
         ON (migs.group_handle = mig.index_group_handle)
      INNER JOIN sys.dm_db_missing_index_details AS mid
         ON (mig.index_handle = mid.index_handle)
   ORDER BY
      avg_total_user_cost * avg_user_impact * (user_seeks + user_scans) DESC ;

또는 select 문에서 사용되지 않고 업데이트 / 삽입 성능을 저하시키는 인덱스를 찾기위한 다음과 같은 명령문 :

    CREATE PROCEDURE [ADMIN].[spIndexCostBenefit]
    @dbname [nvarchar](75)
WITH EXECUTE AS CALLER
AS
--set @dbname='Chess'
declare @dbid nvarchar(5)
declare @sql nvarchar(2000)
select @dbid = convert(nvarchar(5),db_id(@dbname))

set @sql=N'select ''object'' = t.name,i.name
        ,''user reads'' = iu.user_seeks + iu.user_scans + iu.user_lookups
        ,''system reads'' = iu.system_seeks + iu.system_scans + iu.system_lookups
        ,''user writes'' = iu.user_updates
        ,''system writes'' = iu.system_updates
from '+ @dbname + '.sys.dm_db_index_usage_stats iu
,' + @dbname + '.sys.indexes i
,' + @dbname + '.sys.tables t
where
    iu.database_id = ' + @dbid + '
and iu.index_id=i.index_id
and iu.object_id=i.object_id
and iu.object_id=t.object_id
AND (iu.user_seeks + iu.user_scans + iu.user_lookups)<iu.user_updates
order by ''user reads'' desc'

exec sp_executesql @sql

set @sql=N'SELECT
   ''object'' = t.name,
   o.index_id,
   ''usage_reads'' = user_seeks + user_scans + user_lookups,
   ''operational_reads'' = range_scan_count + singleton_lookup_count,
   range_scan_count,
   singleton_lookup_count,
   ''usage writes'' = user_updates,
   ''operational_leaf_writes'' = leaf_insert_count + leaf_update_count + leaf_delete_count,
   leaf_insert_count,
   leaf_update_count,
   leaf_delete_count,
   ''operational_leaf_page_splits'' = leaf_allocation_count,
   ''operational_nonleaf_writes'' = nonleaf_insert_count + nonleaf_update_count + nonleaf_delete_count,
   ''operational_nonleaf_page_splits'' = nonleaf_allocation_count
FROM
   ' + @dbname + '.sys.dm_db_index_operational_stats(' + @dbid + ', NULL, NULL, NULL) o,
   ' + @dbname + '.sys.dm_db_index_usage_stats u,
    ' + @dbname + '.sys.tables t
WHERE
   u.object_id = o.object_id
   AND u.index_id = o.index_id
    and u.object_id=t.object_id
ORDER BY
   operational_reads DESC,
   operational_leaf_writes,
   operational_nonleaf_writes'

exec sp_executesql @sql

GO

프로덕션 환경에서 성능 문제를 분석 할 때 사용하는 다른 SQL 문이 있지만이 두 가지가 좋은 시작입니다.

(이 게시물은 약간의 주제이지만 색인 전략과 관련이 있기 때문에 관심이있을 것이라고 생각했습니다.)

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