0

我们有一个针对一些相当大的表执行的存储过程，并且在加入一个更大的表时，它还记录有多少记录与相应的 batch_id 匹配。我想弄清楚的是我可以通过计数功能或其他方式来改进它吗？试图摆脱嵌套的 SELECT COUNT(*) 语句。CCTransactions 表有 140 万行，BatchItems 有 660 万行。

SELECT  a.ItemAuthID, a.FeeAuthID, a.Batch_ID, a.ItemAuthCode, 
        a.FeeAuthCode, b.Amount, b.Fee, 
  (SELECT COUNT(*) FROM BatchItems WHERE Batch_ID = a.Batch_ID) AS BatchCount,
  ItemBillDate, FeeBillDate, b.AccountNumber, 
  b.Itemcode, ItemAuthToken, FeeAuthToken,
  cc.ItemMerchant, cc.FeeMerchant
  FROM CCTransactions a WITH(NOLOCK)
        INNER JOIN BatchItems b WITH(NOLOCK)
              ON a.Batch_ID = b.Batch_ID
        INNER JOIN CCConfig cc WITH(NOLOCK)
              ON a.ClientCode = cc.ClientCode
  WHERE ((ItemAuthCode > '' AND ItemBillDate IS NULL)
              OR (FeeAuthCode > '' AND FeeBillDate IS NULL))
              AND TransactionDate BETWEEN DATEADD(d,-7,GETDATE()) 
              AND convert(char(20),getdate(),101)  + ' ' +   @Cutoff
  ORDER BY TransactionDate
4

1 回答 1

0

当您的 DBMS 支持 WIndowed 聚合函数时，您可以将其重写为

COUNT(*) OVER (PARTITION BY Batch_ID)

当然，这只返回 SELECT 返回的每个 Batch_ID 的行数。如果内部联接导致更少的行，则它不是正确的数字。

然后将标量子查询重写为连接可能会更有效（取决于您的 DBMS）：

SELECT  a.ItemAuthID, a.FeeAuthID, a.Batch_ID, a.ItemAuthCode, 
        a.FeeAuthCode, b.Amount, b.Fee, 
  dt.BatchCount,
  ItemBillDate, FeeBillDate, b.AccountNumber, 
  b.Itemcode, ItemAuthToken, FeeAuthToken,
  cc.ItemMerchant, cc.FeeMerchant
  FROM CCTransactions a WITH(NOLOCK)
        INNER JOIN BatchItems b WITH(NOLOCK)
              ON a.Batch_ID = b.Batch_ID
        INNER JOIN CCConfig cc WITH(NOLOCK)
              ON a.ClientCode = cc.ClientCode
        INNER JOIN
          ( 
            SELECT BatchCount, COUNT(*) AS BatchCount
            FROM BatchItems 
            GROUP BY Batch_ID
          ) AS dt ON a.Batch_ID = dt.Batch_ID
  WHERE ((ItemAuthCode > '' AND ItemBillDate IS NULL)
              OR (FeeAuthCode > '' AND FeeBillDate IS NULL))
              AND TransactionDate BETWEEN DATEADD(d,-7,GETDATE()) 
              AND convert(CHAR(20),getdate(),101)  + ' ' +   @Cutoff
  ORDER BY TransactionDate
于 2013-08-30T15:08:02.343 回答