如何提高SQL Server中独立查询的性能

时间:2018-09-21 06:11:46

标签: sql-server query-performance

我有一个查询,目前只有324条记录需要10秒钟才能提高性能。请注意,我对Sql Server还是很陌生。

已尝试: 我已经在SP中使用SET NOCOUNT ON,因为我已经知道它可以提高性能,甚至每个表都使用alias。请让我知道可以采取哪些措施来改善其性能

DECLARE @vRequestedBy VARCHAR(2000) = CASE WHEN @RequestedBy <> '' THEN @RequestedBy END,  
   @vJobType NVARCHAR(2000) = CASE WHEN @JobType <> '' THEN @JobType END;  
SELECT  distinct ts.JobID,   
  dbo.TSP_CAT_Category.Category,   
  ts.JobType,   
  dbo.TSP_TSR_JobStatus.JobStatus,   
  dbo.wsm_Contact.Name "ContactName",   
  ts.Created,   
  wb.Name AS BuildingName,   
  ts.Contact,   
 ts.CreatedBy,   
  ts.ContactEmail,   
  dbo.wsm_Contact.TradingAs,  
  --wsm_Contact_User.UserId "RequestedByUserId",  
  c2.Name "RequestedByUser",  
  dbo.wsm_Contact.ContactID  
  FROM   
   dbo.TSP_TSR_Job ts  
  LEFT OUTER JOIN   
   dbo.wsm_Ref_Buildings wb ON ts.BuildingID = wb.BuildingId   
  LEFT OUTER JOIN   
   dbo.wsm_Contact ON ts.TenancyID = dbo.wsm_Contact.ContactID   
  LEFT OUTER JOIN   
   dbo.TSP_TSR_JobStatus ON ts.JobStatusID = dbo.TSP_TSR_JobStatus.JobStatusID   
  LEFT OUTER JOIN   
   dbo.TSP_CAT_Category ON ts.CategoryID = dbo.TSP_CAT_Category.CategoryID  
  LEFT OUTER JOIN   
   dbo.wsm_Contact_User ON UserID = ts.ContactEmail COLLATE SQL_Latin1_General_CP1_CI_AS  
  LEFT OUTER JOIN   
   wsm_Contact c2 ON c2.ContactID = wsm_Contact_User.ContactID  

  WHERE     
   -- JobId criteria  
    (@JobID = 0 OR JobID = @JobId)  

   AND (@TenancyId = '0' OR TenancyId in (select Item from Split_fn(@TenancyID,',')))  

   AND (@TradingAs = '0' OR wsm_Contact.ContactID in (select Item from Split_fn(@TradingAs,',') ))  
   --RequestedBy    
   AND (@vRequestedBy IS NULL OR @vRequestedBy = '0' OR ts.ContactEmail in (Select distinct Email from dbo.wsm_Contact WHere Email in (select Item from Split_fn(@vRequestedBy,',')) ))  
   -- Job Category  
   AND (@CategoryId = '0' OR ts.CategoryID in (select Item from Split_fn(@CategoryId,',') ))  
   -- Contact Id (always filter on this, enough security?!)    
   AND ts.BuildingID IN (SELECT distinct b.BuildingId    
            FROM   
             wsm_ContactSite s   
            INNER JOIN   
             wsm_Contact c ON c.ContactID = s.ContactID  
            INNER JOIN   
             wsm_Ref_Buildings b ON b.SiteId = s.SiteID  
            WHERE   
             c.ContactID = @ContactUserId)  

   AND wsm_Contact.FloorID  IN     (SELECT t.FloorID   
              FROM wsm_Contact_Tenancy t  
             WHERE t.ContactID = @ContactUserId)  

   AND wsm_Contact.OCCPSTAT NOT IN ('I', 'P')  

   AND (@vJobType IS NULL OR ts.JobType in (select Item from Split_fn(@vJobType,',')))  
   AND (ts.Created between @CreatedFrom and DATEADD(DD,1,@CreatedTo))  
   ORDER BY   
    JobID

统计信息:

 SQL Server parse and compile time: 
       CPU time = 0 ms, elapsed time = 0 ms.
    SQL Server parse and compile time: 
       CPU time = 0 ms, elapsed time = 0 ms.

     SQL Server Execution Times:
       CPU time = 0 ms,  elapsed time = 0 ms.

     SQL Server Execution Times:
       CPU time = 0 ms,  elapsed time = 0 ms.
    Table 'TSP_CAT_Category'. Scan count 1, logical reads 3, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table 'wsm_Contact_Tenancy'. Scan count 1, logical reads 3, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table 'wsm_Contact'. Scan count 2, logical reads 3822, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table 'wsm_ContactSite'. Scan count 1, logical reads 5, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table 'wsm_Ref_Buildings'. Scan count 3, logical reads 2811, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table 'Workfile'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table 'Worktable'. Scan count 2, logical reads 341364, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table '#AFEC4F2F'. Scan count 2, logical reads 524444, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table 'TSP_TSR_Job'. Scan count 3, logical reads 58210, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table 'wsm_Contact_User'. Scan count 2, logical reads 2300, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table 'TSP_TSR_JobStatus'. Scan count 2, logical reads 650, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table '1159564537'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table 'Workfile'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table 'Worktable'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table '#BB5E01DB'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table '#BA69DDA2'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table '#B1D497A1'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.
    Table '#B0E07368'. Scan count 0, logical reads 0, physical reads 0, read-ahead reads 0, lob logical reads 0, lob physical reads 0, lob read-ahead reads 0.

     SQL Server Execution Times:
       CPU time = 8391 ms,  elapsed time = 5792 ms.

     SQL Server Execution Times:
       CPU time = 8391 ms,  elapsed time = 5793 ms.

3 个答案:

答案 0 :(得分:1)

  1. wsm_Ref_Buildings添加聚簇索引
  2. 将每个IN变成EXISTS
  3. 添加OPTION RECOMPILE,因为您真的需要所有这些OR
  4. 用Internet上的内容替换Split_fn主体(有更干净的此类代码示例以及SQL SERVER SPLIT_STRING函数附带的代码), 确保Split_fnDETERMINISTIC(需要WITH SCHEMABINDING选项)
  5. 尝试摆脱所有DISTINCT s
  6. 修复所有有关索引和缺少统计信息的警告(至少其中的所有警告)(例如TSP_CAT_Category表)
  7. 粘贴新的实际执行计划(不是估计的一个)
  8. 也许有一天有可能将所有PK从字符串转换为整数
您的DISTINCT子查询中的

IN s只做毫无意义的多余排序,这对查询逻辑或输出没有影响。最顶端的DISTINCT修复(或仍然不做)设计不良的查询:重复的行(如果有)是由错误定义的连接产生的,必须将其固定(例如OUTER APPLY (SELECT TOP 1...))。

upd

Exists示例:

WHERE ts.CategoryID in (select Item from Split_fn(@CategoryId,',') )

->>

WHERE EXISTS (select 1 from Split_fn(@CategoryId,',') s WHERE s.Item = ts.CategoryID)

答案 1 :(得分:0)

Ivan Starostin有很多建议,在此我不再赘述,但我想请您考虑一下为什么您首先觉得需要使用“独特”。

select distinct使用ADDS进行查询需要花费大量时间和精力,这不是“广泛查询”(多列查询)的好方法,特别是在查询涉及多个联接表的情况下。虽然将表连接在一起是司空见惯且必不可少的,但不要忘记联接通常会产生将行数相乘的效果。因此,如果有太多的行,则在完全依靠select distinct作为灵丹妙药之前重新考虑联接。

例如,这是否需要“与众不同”?

SELECT
    ts.JobID
  , ts.Contact
  , ts.ContactEmail
  , ts.Created
  , ts.CreatedBy
  , ts.JobType
FROM dbo.TSP_TSR_Job ts
WHERE (ts.Created BETWEEN @CreatedFrom AND DATEADD(DD, 1, @CreatedTo))
AND (@JobID = 0 OR ts.JobID = @JobId)
AND (@TenancyId = '0' OR ts.TenancyId IN (
    SELECT
        Item
    FROM Split_fn(@TenancyID, ',')
    )
)

如果(我怀疑)不需要“与众不同”,则将其用作子查询,然后再添加其余表。您也许还可以合并用于类别和状态的查找表,而无需添加其他行,例如

SELECT
    ts.JobID
  , ts.Contact
  , ts.ContactEmail
  , ts.Created
  , ts.CreatedBy
  , ts.JobType
  , dbo.TSP_CAT_Category.Category
  , dbo.TSP_TSR_JobStatus.JobStatus
FROM dbo.TSP_TSR_Job ts
LEFT OUTER JOIN dbo.TSP_TSR_JobStatus    ON ts.JobStatusID = dbo.TSP_TSR_JobStatus.JobStatusID
LEFT OUTER JOIN dbo.TSP_CAT_Category     ON ts.CategoryID = dbo.TSP_CAT_Category.CategoryID
WHERE (ts.Created BETWEEN @CreatedFrom AND DATEADD(DD, 1, @CreatedTo))
AND (@JobID = 0 OR ts.JobID = @JobId)
AND (@TenancyId = '0' OR ts.TenancyId IN (
    SELECT
        Item
    FROM Split_fn(@TenancyID, ',')
    )
)
-- Job Category  
AND (@CategoryId = '0'
OR ts.CategoryID IN (
    SELECT
        Item
    FROM Split_fn(@CategoryId, ',')
)
)
AND (@vJobType IS NULL
OR ts.JobType IN (
    SELECT
        Item
    FROM Split_fn(@vJobType, ',')
)
)

如果不需要“ distinct”,则将其用作子查询(“派生表”或“公共表表达式”),然后尝试将每个其他联接一个接一个地添加(即添加联接,以及相关位置子句过滤器,并为此表添加所选的列)。然后,如果您在该额外联接之后开始在结果中看到不需要的重复,则知道重复来自何处。您可能需要使用与该表完全不同的方法来解决此问题(例如,加入使用row_number()来仅获取“最新”联系人的子查询)。

答案 2 :(得分:-1)

您可以在查询中为wsm_Contact,TSP_TSR_JobStatus,TSP_CAT_Category,wsm_Contact_User以及它们的别名使用别名