Sql-server – Recursive CTE performance

cteperformancerecursivesql serversql-server-2008-r2

Need help with recursive CTE performance. Below CTE is running very slow as it is trying to pull heirarchical
data recusively. Table is big with every root id having upto 3 recursive itemid. There could be around 200000 or more root id's.
I know recursive CTE's are slow for huge dataset as for every rootid in anchor it would itemid recursively.

Schema :

Create table RootItem (ItemId int primary key, RootIt int , insertdate datetime)

Above table have more than 1 million rows.

CTE query :

; With rootcte as

( select itemid from RootItem where rootid is null

union all

  select r.itemid as RootId , i.itemid from RootItem i join rootcte r
    on i.rootid = r.itemid
)

We can't modify table schema and use heirarchyid. I tried while loop too but that is slow too.

Is there any other way I can optimize this query ?

 ; With rootcte as

( select itemid from RootItem where rootid is null

 union all

 select r.itemid as RootId , i.itemid from RootItem i join rootcte r
 on i.rootid = r.itemid
) 
  SELECT  
     Cust.CustomerID  
    , Cust.BusinessName  
    , sCust.RegionCustomerID  
    , ord.OrderID  
    , ord.OrderItemID  
    , prd.ProductCode  
    , rc.itemid
    , rc.rootid 
    , mf.FileID  
FROM  
    vw_Customer Cust  
    INNER JOIN SrcCustomer scust ON Cust.CustomerID = sCust.RegionCustomerID  
    INNER JOIN OrderItem ord ON Cust.MasterCustomerID = ord.MasterCustomerID  
    INNER JOIN Product ON ord.ProductID = Product.ProductID  
    INNER JOIN rootcte rc ON ord.RootOrderId = rc.Rootid   
    INNER JOIN MFolder mf ON mf.mfolderid = rc.itemid  
    INNER JOIN MVersion mv ON mv.mfolderversionid = mf.mfolderid   
    WHERE ord.IsActive = 1  and product.IsSelling = 1 and mf.fileid in (23,45,29)
     and mv.isdeleted = 'N'

I am also working with BI group to change query logic and filter data in cte itself of move couple of joins and criteria to cte.. Thanks for all the comments.

Best Answer

You say that the hierarchy gets modified. Presumably while this operation is running, there is some amount of blocking which is taking place then?

Even if the hierarchy is changing, are the roots for items changing?

Have you looked at the time it would take to just make the mapping table from root to item and index it?

I would like to see the execution plan to see what is happening - the CTE should get spooled, but as a manually materialized and indexed table it might perform better in the later steps.

Even with heavy activity, it would seem to me that someone has to be blocked if DML operations are changing data which this process is reading.

So I'd strongly consider taking a snapshot of the hierarchy.

In addition, you have a number of other INNER JOINs - you should review whether it is, in fact, the CTEs at all and whether there are any indexes which are missing to make those joins effective. The execution plan should tell you that.

You appear to have quite a few things in the WHERE clause which might help reduce some operations (and determine which indexes might be the best)), but it's hard to tell without looking at the execution plan or the indexes.

Related Solutions

PostgreSQL tree structure and recursive CTE optimization

If you really have to modify these data rarely, then you can simply store the result of the CTE in a table, and run queries against this table. You can define indexes based on your typical queries.
Then TRUNCATE and repopulate (and ANALYZE) as necessary.

On the other hand, if you can put the CTE in separate stored procedures rather than a view, you can easily put your conditions in the CTE part rather then the final SELECT (which is basically what you do querying against tree_view_1), so that much less rows will be involved in the recursion. From the query plan it looks like that PostgreSQL estimates row numbers based on some far-from-true assumptions, probably producing suboptimal plans - this effect can be reduced somewhat with the SP solution.

EDIT I may miss something, but just noticed that in the non-recursive term you don't filter the rows. Possibly you want to include only root nodes there (WHERE parent_id IS NULL) - I'd expect much less rows and recursions this way.

EDIT 2 AS it slowly became clear for me from the comments, I misthought the recursion in the original question going the other way. Here I mean starting from the root nodes and going deeper in the recursion.

Sql-server – Optimizing a CTE hierarchy

Edit: this is second attempt

Based on @Hannah Vernon's answer, here is a way to bypass the use of CTE inside an inline subquery, which is like self-joining the CTE and I presume is the reason for the poor efficiency. It uses analytic functions available only in the 2012 version of SQL-Server. Tested at SQL-Fiddle

This part can be skipped from reading, it's a copy-paste from Hannah's answer:

;With AccountHierarchy AS
(                                                                           
    SELECT
        Root.AcctId                                         AccountId
        , Root.Name                                         AccountName
        , Root.ParentId                                     ParentId
        , 1                                                 HierarchyLevel  
        , cast(Root.Acctid as varchar(4000))                IdHierarchyMatch        
        , cast(Root.Acctid as varchar(4000))                IdHierarchy
        , cast(replace(Root.Name,'.','') as varchar(4000))  NameHierarchy   
        , cast(Root.Acctid as varchar(4000))                HierarchySort
        , cast(Root.Name as varchar(4000))                  HierarchyLabel          ,
        Root.CustomerCount                                  CustomerCount   

    FROM 
        account Root

    WHERE
        Root.ParentID is null

    UNION ALL

    SELECT
        Recurse.Acctid                                      AccountId
        , Recurse.Name                                      AccountName
        , Recurse.ParentId                                  ParentId
        , Root.HierarchyLevel + 1                           HierarchyLevel
        , CAST(CAST(Root.IdHierarchyMatch as varchar(40)) + '.' 
            + cast(recurse.Acctid as varchar(40))   as varchar(4000))   IdHierarchyMatch
        , cast(cast(recurse.Acctid as varchar(40)) + '.' 
            + Root.IdHierarchy  as varchar(4000))           IdHierarchy
        , cast(replace(recurse.Name,'.','') + '.' 
            + Root.NameHierarchy as varchar(4000))          NameHierarchy
        , cast(Root.AccountName + '.' 
            + Recurse.Name as varchar(4000))                HierarchySort   
        , cast(space(root.HierarchyLevel * 4) 
            + Recurse.Name as varchar(4000))                HierarchyLabel
        , Recurse.CustomerCount                             CustomerCount
    FROM
        account Recurse INNER JOIN
        AccountHierarchy Root on Root.AccountId = Recurse.ParentId
)

Here we order the rows of the CTE using the IdHierarchyMatch and we calculate row numbers and a running total (from the next row up to the end.)

, cte1 AS 
(
SELECT
    h.AccountId
    , h.AccountName
    , h.ParentId
    , h.HierarchyLevel
    , h.IdHierarchy
    , h.NameHierarchy
    , h.HierarchyLabel
    , parsename(h.IdHierarchy,1) Acct1Id
    , parsename(h.NameHierarchy,1) Acct1Name
    , parsename(h.IdHierarchy,2) Acct2Id
    , parsename(h.NameHierarchy,2) Acct2Name
    , parsename(h.IdHierarchy,3) Acct3Id
    , parsename(h.NameHierarchy,3) Acct3Name
    , parsename(h.IdHierarchy,4) Acct4Id
    , parsename(h.NameHierarchy,4) Acct4Name
    , h.CustomerCount
    , h.HierarchySort
    , h.IdHierarchyMatch
        , Rn = ROW_NUMBER() OVER 
                  (ORDER BY h.IdHierarchyMatch)
        , RunningCustomerCount = COALESCE(
            SUM(h.CustomerCount)
            OVER
              (ORDER BY h.IdHierarchyMatch
               ROWS BETWEEN 1 FOLLOWING
                        AND UNBOUNDED FOLLOWING)
          , 0) 
FROM
    AccountHierarchy AS h  
)

Then we have one more intermediate CTE where we use the previous running totals and row numbers - basically to find where the end points for the branches of the tree structure:

, cte2 AS
(
SELECT
    cte1.*
    , rn3  = LAST_VALUE(Rn) OVER 
               (PARTITION BY Acct1Id, Acct2Id, Acct3Id 
                ORDER BY Acct4Id
                ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)       
    , rn2  = LAST_VALUE(Rn) OVER 
               (PARTITION BY Acct1Id, Acct2Id 
                ORDER BY Acct3Id, Acct4Id
                ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING) 
    , rn1  = LAST_VALUE(Rn) OVER 
               (PARTITION BY Acct1Id 
                ORDER BY Acct2Id, Acct3Id, Acct4Id
                ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING) 
    , rcc3 = LAST_VALUE(RunningCustomerCount) OVER 
               (PARTITION BY Acct1Id, Acct2Id, Acct3Id 
                ORDER BY Acct4Id
                ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)       
    , rcc2 = LAST_VALUE(RunningCustomerCount) OVER 
               (PARTITION BY Acct1Id, Acct2Id 
                ORDER BY Acct3Id, Acct4Id
                ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING) 
    , rcc1 = LAST_VALUE(RunningCustomerCount) OVER 
               (PARTITION BY Acct1Id 
                ORDER BY Acct2Id, Acct3Id, Acct4Id
                ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING) 
FROM
    cte1 
)

and finally we build the last part:

SELECT
    hier.AccountId
    , hier.AccountName
    ---                        -- columns skipped 
    , hier.CustomerCount

    , TotalCustomerCount = hier.CustomerCount
        + hier.RunningCustomerCount 
        - ca.LastRunningCustomerCount

    , hier.HierarchySort
    , hier.IdHierarchyMatch
FROM
    cte2 hier
  OUTER APPLY
    ( SELECT  LastRunningCustomerCount, Rn
      FROM
      ( SELECT LastRunningCustomerCount
              = RunningCustomerCount, Rn
        FROM (SELECT NULL a) x  WHERE 4 <= HierarchyLevel 
      UNION ALL
        SELECT rcc3, Rn3
        FROM (SELECT NULL a) x  WHERE 3 <= HierarchyLevel 
      UNION ALL
        SELECT rcc2, Rn2 
        FROM (SELECT NULL a) x  WHERE 2 <= HierarchyLevel 
      UNION ALL
        SELECT rcc1, Rn1
        FROM (SELECT NULL a) x  WHERE 1 <= HierarchyLevel 
      ) x
      ORDER BY Rn 
      OFFSET 0 ROWS
      FETCH NEXT 1 ROWS ONLY
      ) ca
ORDER BY
    hier.HierarchySort ;

And a simplification, using the same cte1 as the code above. Test at SQL-Fiddle-2. Please note that both solutions work under the assumption that you have a maximum of four levels in your tree:

SELECT
    hier.AccountId
    ---                      -- skipping rows
    , hier.CustomerCount

    , TotalCustomerCount = CustomerCount
        + RunningCustomerCount 
        - CASE HierarchyLevel
            WHEN 4 THEN RunningCustomerCount
            WHEN 3 THEN LAST_VALUE(RunningCustomerCount) OVER 
                   (PARTITION BY Acct1Id, Acct2Id, Acct3Id 
                    ORDER BY Acct4Id
                    ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING)       
            WHEN 2 THEN LAST_VALUE(RunningCustomerCount) OVER 
                   (PARTITION BY Acct1Id, Acct2Id 
                    ORDER BY Acct3Id, Acct4Id
                    ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING) 
            WHEN 1 THEN LAST_VALUE(RunningCustomerCount) OVER 
                   (PARTITION BY Acct1Id 
                    ORDER BY Acct2Id, Acct3Id, Acct4Id
                    ROWS BETWEEN CURRENT ROW AND UNBOUNDED FOLLOWING) 
          END

    , hier.HierarchySort
    , hier.IdHierarchyMatch
FROM cte1 AS hier
ORDER BY
    hier.HierarchySort ;

A third approach, with only one CTE, for the recursive part and then only window aggregate functions (SUM() OVER (...)), so it should work in any version from 2005 upwards. Test at SQL-Fiddle-3 This solution assumes, like the previous ones, that there are 4 levels maximum in the hierarchy tree:

;WITH AccountHierarchy AS
(                                                                           
    SELECT
          AccountId      = Root.AcctId                                         
        , AccountName    = Root.Name                                         
        , ParentId       = Root.ParentId                                     
        , HierarchyLevel = 1                                                   
        , HierarchySort  = CAST(Root.Acctid AS VARCHAR(4000))                
        , HierarchyLabel = CAST(Root.Name AS VARCHAR(4000))                   
        , Acct1Id        = CAST(Root.Acctid AS VARCHAR(4000))                
        , Acct2Id        = CAST(NULL AS VARCHAR(4000))                       
        , Acct3Id        = CAST(NULL AS VARCHAR(4000))                       
        , Acct4Id        = CAST(NULL AS VARCHAR(4000))                       
        , Acct1Name      = CAST(Root.Name AS VARCHAR(4000))                  
        , Acct2Name      = CAST(NULL AS VARCHAR(4000))                       
        , Acct3Name      = CAST(NULL AS VARCHAR(4000))                       
        , Acct4Name      = CAST(NULL AS VARCHAR(4000))                       
        , CustomerCount  = Root.CustomerCount                                   

    FROM 
        account AS Root

    WHERE
        Root.ParentID IS NULL

    UNION ALL

    SELECT
          Recurse.Acctid 
        , Recurse.Name 
        , Recurse.ParentId 
        , Root.HierarchyLevel + 1 
        , CAST(Root.AccountName + '.' 
            + Recurse.Name AS VARCHAR(4000)) 
        , CAST(SPACE(Root.HierarchyLevel * 4) 
            + Recurse.Name AS VARCHAR(4000)) 
        , Root.Acct1Id 
        , CASE WHEN Root.HierarchyLevel = 1 
              THEN cast(Recurse.Acctid AS VARCHAR(4000)) 
              ELSE Root.Acct2Id 
          END 
        , CASE WHEN Root.HierarchyLevel = 2 
              THEN CAST(Recurse.Acctid AS VARCHAR(4000)) 
              ELSE Root.Acct3Id 
          END 
        , CASE WHEN Root.HierarchyLevel = 3 
              THEN CAST(Recurse.Acctid AS VARCHAR(4000)) 
              ELSE Root.Acct4Id 
          END 
 
        , cast(Root.AccountName as varchar(4000))          
        , CASE WHEN Root.HierarchyLevel = 1 
              THEN CAST(Recurse.Name AS VARCHAR(4000)) 
              ELSE Root.Acct2Name 
          END 
        , CASE WHEN Root.HierarchyLevel = 2 
              THEN CAST(Recurse.Name AS VARCHAR(4000)) 
              ELSE Root.Acct3Name 
          END 
        , CASE WHEN Root.HierarchyLevel = 3 
              THEN CAST(Recurse.Name AS VARCHAR(4000)) 
              ELSE Root.Acct4Name 
          END 
        , Recurse.CustomerCount 
    FROM 
        account AS Recurse INNER JOIN 
        AccountHierarchy AS Root ON Root.AccountId = Recurse.ParentId
)

SELECT
      h.AccountId
    , h.AccountName
    , h.ParentId
    , h.HierarchyLevel
    , IdHierarchy = 
          CAST(COALESCE(h.Acct4Id+'.','') 
               + COALESCE(h.Acct3Id+'.','') 
               + COALESCE(h.Acct2Id+'.','') 
               + h.Acct1Id AS VARCHAR(4000))
    , NameHierarchy = 
          CAST(COALESCE(h.Acct4Name+'.','') 
               + COALESCE(h.Acct3Name+'.','') 
               + COALESCE(h.Acct2Name+'.','') 
               + h.Acct1Name AS VARCHAR(4000))   
    , h.HierarchyLabel
    , h.Acct1Id
    , h.Acct1Name
    , h.Acct2Id
    , h.Acct2Name
    , h.Acct3Id
    , h.Acct3Name
    , h.Acct4Id
    , h.Acct4Name
    , h.CustomerCount
    , TotalCustomerCount =  
          CASE h.HierarchyLevel
            WHEN 4 THEN h.CustomerCount
            WHEN 3 THEN SUM(h.CustomerCount) OVER 
                   (PARTITION BY h.Acct1Id, h.Acct2Id, h.Acct3Id)       
            WHEN 2 THEN SUM(h.CustomerCount) OVER 
                   (PARTITION BY Acct1Id, h.Acct2Id) 
            WHEN 1 THEN SUM(h.CustomerCount) OVER 
                   (PARTITION BY h.Acct1Id) 
          END
    , h.HierarchySort
    , IdHierarchyMatch = 
          CAST(h.Acct1Id 
               + COALESCE('.'+h.Acct2Id,'') 
               + COALESCE('.'+h.Acct3Id,'') 
               + COALESCE('.'+h.Acct4Id,'') AS VARCHAR(4000))   
FROM
    AccountHierarchy AS h  
ORDER BY
    h.HierarchySort ;

A 4th approach, that calculates as an intermediate CTE, the closure table of the hierarchy. Test at SQL-Fiddle-4. The benefit is that for the sums calculations, there is no resctriction on the number of levels.

;WITH AccountHierarchy AS
( 
    -- skipping several line, identical to the 3rd approach above
)

, ClosureTable AS
( 
    SELECT
          AccountId      = Root.AcctId  
        , AncestorId     = Root.AcctId  
        , CustomerCount  = Root.CustomerCount 
    FROM 
        account AS Root

    UNION ALL

    SELECT
          Recurse.Acctid 
        , Root.AncestorId 
        , Recurse.CustomerCount
    FROM 
        account AS Recurse INNER JOIN 
        ClosureTable AS Root ON Root.AccountId = Recurse.ParentId
)

, ClosureGroup AS
(                                                                           
    SELECT
          AccountId           = AncestorId  
        , TotalCustomerCount  = SUM(CustomerCount)                             
    FROM 
        ClosureTable AS a
    GROUP BY
        AncestorId
)

SELECT
      h.AccountId
    , h.AccountName
    , h.ParentId
    , h.HierarchyLevel 
    , h.HierarchyLabel
    , h.CustomerCount
    , cg.TotalCustomerCount 

    , h.HierarchySort
FROM
    AccountHierarchy AS h  
  JOIN
    ClosureGroup AS cg
      ON cg.AccountId = h.AccountId
ORDER BY
    h.HierarchySort ;

Best Answer

Related Solutions

PostgreSQL tree structure and recursive CTE optimization

Sql-server – Optimizing a CTE hierarchy

Related Question