有没有比这更好/更快的方法来模糊匹配SQL中的客户数据？

我的客户表大约有130万行。试图匹配客户的计划没有按预期运行，导致大量客户无法与现有客户匹配

该计划面临的最大问题之一是，它试图使用计费电子邮件作为匹配项。我们的计划是，我们的客户来自许多不同的市场，其中包括加密客户电子邮件的市场，如Amazon.com

因此，电子邮件匹配只是特定网站和市场上的一种选择

我想知道是否有更好的方法（比我在下面尝试的方法）在我的客户表上进行“4向匹配”，这样我就可以查看是否有许多针对不同列的匹配

例如：

ListAEmail                              | ListAFullname | ListAAddress | ListAPhone
------------------------------------------------------------------------------
2b************@marketplace.amazon.com   | jeff neal     | 49 willow    | 4*******7
------------------------------------------------------------------------------

将是4个中的2个与此匹配

ListBEmail                              | ListBFullname | ListBAddress | ListBPhone
------------------------------------------------------------------------------
1********@gmail.com                     | jeff neal     | 7-49 willow  | 4*******1
------------------------------------------------------------------------------

它在[ListBulfNeN]上匹配100%，在[ListBoTe]上匹配83.33%，所以我认为这是一个匹配的客户，并且我想为他的两个订单分配相同的客户ID。

我认为我下面的存储过程（我从中修改）可以进行优化，但我没有看到它。它已经运行了15个多小时。任何帮助都将不胜感激

SET ANSI_NULLS ON
GO
SET QUOTED_IDENTIFIER ON
GO

Create procedure [dbo].[FuzzyMatchBigData] (

@MatchScore float = .8

) AS

TRUNCATE TABLE [dbo].[TempMatch]
INSERT INTO [dbo].[TempMatch]

SELECT ListA.BillEmail as ListAEmail
      ,ListA.FirstName+' '+ListA.LastName AS ListAFullname
      ,ListA.Numbers AS ListAAddress
      ,ListA.Phone as ListAPhone
      ,ListB.BillEmail as ListBEmail
      ,ListB.FirstName+' '+ListB.LastName AS ListBFullname
      ,ListB.Numbers AS ListBAddress
      ,ListB.Phone as ListBPhone
,CAST(0 AS float) as Matchscore0
,CAST(0 AS float) as Matchscore1
,CAST(0 AS float) as Matchscore2
,CAST(0 AS float) as Matchscore3

FROM (
SELECT CASE WHEN LOWER(BillEmail) = '' OR LOWER(BillEmail) = 'N/A' THEN CONVERT(NVARCHAR,ABS(CAST(CAST(NEWID() AS VARBINARY) AS INT)))
            ELSE LOWER(BillEmail)
            END as BillEmail
        ,CASE WHEN LOWER([BillFirstName] + ' ' + [BillLastName]) = '' THEN CONVERT(NVARCHAR,ABS(CAST(CAST(NEWID() AS VARBINARY) AS INT)))
        ELSE LOWER([BillFirstName] + ' ' + [BillLastName])
        END as BillName
        ,LOWER([BillFirstName]) as FirstName
        ,LOWER([BillLastName]) as LastName
        ,LOWER(BillCity) as BillCity
        ,LOWER(BillCompany) as BillCompany
        ,LOWER(BillCountryCode) as BillCountryCode
        ,CASE WHEN replace(
            replace(
                replace(
                    replace(
                        replace(
                            replace(
                                replace(
                                    replace(
                                        replace(
                                            replace(
                                                replace(
         LOWER(BillPhone),'-',''),')',''),'(',''),' ',''),'*',''),',',''),'+',''),'&',''),'.',''),'=',''),'/','') = '' THEN CONVERT(NVARCHAR,ABS(CAST(CAST(NEWID() AS VARBINARY) AS INT)))
         ELSE replace(
            replace(
                replace(
                    replace(
                        replace(
                            replace(
                                replace(
                                    replace(
                                        replace(
                                            replace(
                                                replace(
         LOWER(BillPhone),'-',''),')',''),'(',''),' ',''),'*',''),',',''),'+',''),'&',''),'.',''),'=',''),'/','')
         END as Phone
        ,LOWER(BillPostalCode) as BillPostalCode
        ,LOWER(BillStateProvCode) as BillStateProvCode
        ,replace(
            replace(
                replace(
                    replace(
                        replace(
                            replace(
                                replace(
                                    replace(
                                        replace(
                                                replace(
                                                    replace(
         LOWER([BillStreet1] + ' ' + [BillStreet2]),'-',''),')',''),'(',''),'*',''),',',''),'+',''),'&',''),'.',''),'=',''),'/',''),'#','') as 'Address'
        ,CASE WHEN LOWER(REPLACE(REPLACE(BillNumbers, CHAR(13), ' '), CHAR(10), ' ')) = '' THEN CONVERT(NVARCHAR,ABS(CAST(CAST(NEWID() AS VARBINARY) AS INT)))
        ELSE LOWER(REPLACE(REPLACE(BillNumbers, CHAR(13), ' '), CHAR(10), ' ')) 
        END as Numbers
FROM (
SELECT [CustomerID]
            ,CASE WHEN BillEmail = '' OR BillEmail = 'N/A' THEN ShipEmail
            ELSE BillEmail
            END as BillEmail
            ,CASE WHEN BillFirstName = '' THEN REPLACE(REPLACE([ShipFirstName], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillFirstName], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillFirstName
            ,CASE WHEN BillLastName = '' THEN REPLACE(REPLACE([ShipLastName], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillLastName], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillLastName
            ,CASE WHEN BillCity = '' THEN REPLACE(REPLACE([ShipCity], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillCity], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillCity
            ,CASE WHEN BillCompany = '' THEN REPLACE(REPLACE([ShipCompany], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillCompany], CHAR(13), ' '), CHAR(10), ' ') 
            END AS BillCompany
            ,CASE WHEN BillCountryCode = ''THEN REPLACE(REPLACE([ShipCountryCode], CHAR(13), ' '), CHAR(10), ' ') 
            ELSE REPLACE(REPLACE([BillCountryCode], CHAR(13), ' '), CHAR(10), ' ') 
            END as BillCountryCode
            ,CASE WHEN BillPhone = '' THEN REPLACE(REPLACE([ShipPhone], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillPhone], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillPhone
            ,CASE WHEN BillPostalCode = '' THEN REPLACE(REPLACE([ShipPostalCode], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillPostalCode], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillPostalCode
            ,CASE WHEN BillStateProvCode = '' THEN REPLACE(REPLACE([ShipStateProvCode], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillStateProvCode], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillStateProvCode
            ,CASE WHEN BillStreet1 = '' THEN REPLACE(REPLACE([ShipStreet1], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillStreet1], CHAR(13), ' '), CHAR(10), ' ') 
            END AS BillStreet1
            ,CASE WHEN SUBSTRING([BillStreet1], 1, CHARINDEX(' ', [BillStreet1],CHARINDEX(' ', BillStreet1) + 1)) = ''
            THEN SUBSTRING([ShipStreet1], 1, CHARINDEX(' ', [ShipStreet1],CHARINDEX(' ', ShipStreet1) + 1))
            ELSE SUBSTRING([BillStreet1], 1, CHARINDEX(' ', [BillStreet1],CHARINDEX(' ', BillStreet1) + 1))
            END as BillNumbers
            ,CASE WHEN BillStreet2 = '' THEN REPLACE(REPLACE([ShipStreet2], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillStreet2], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillStreet2
            ,CASE WHEN BillStreet3 = '' THEN REPLACE(REPLACE([ShipStreet3], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillStreet3], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillStreet3
  FROM [Customer]
) AS Data2
) ListA

JOIN (
SELECT CASE WHEN LOWER(BillEmail) = '' OR LOWER(BillEmail) = 'N/A' THEN CONVERT(NVARCHAR,ABS(CAST(CAST(NEWID() AS VARBINARY) AS INT)))
            ELSE LOWER(BillEmail)
            END as BillEmail
        ,CASE WHEN LOWER([BillFirstName] + ' ' + [BillLastName]) = '' THEN CONVERT(NVARCHAR,ABS(CAST(CAST(NEWID() AS VARBINARY) AS INT)))
        ELSE LOWER([BillFirstName] + ' ' + [BillLastName])
        END as BillName
        ,LOWER([BillFirstName]) as FirstName
        ,LOWER([BillLastName]) as LastName
        ,LOWER(BillCity) as BillCity
        ,LOWER(BillCompany) as BillCompany
        ,LOWER(BillCountryCode) as BillCountryCode
        ,CASE WHEN replace(
            replace(
                replace(
                    replace(
                        replace(
                            replace(
                                replace(
                                    replace(
                                        replace(
                                            replace(
                                                replace(
         LOWER(BillPhone),'-',''),')',''),'(',''),' ',''),'*',''),',',''),'+',''),'&',''),'.',''),'=',''),'/','') = '' THEN CONVERT(NVARCHAR,ABS(CAST(CAST(NEWID() AS VARBINARY) AS INT)))
         ELSE replace(
            replace(
                replace(
                    replace(
                        replace(
                            replace(
                                replace(
                                    replace(
                                        replace(
                                            replace(
                                                replace(
         LOWER(BillPhone),'-',''),')',''),'(',''),' ',''),'*',''),',',''),'+',''),'&',''),'.',''),'=',''),'/','')
         END as Phone
        ,LOWER(BillPostalCode) as BillPostalCode
        ,LOWER(BillStateProvCode) as BillStateProvCode
        ,replace(
            replace(
                replace(
                    replace(
                        replace(
                            replace(
                                replace(
                                    replace(
                                        replace(
                                                replace(
                                                    replace(
         LOWER([BillStreet1] + ' ' + [BillStreet2]),'-',''),')',''),'(',''),'*',''),',',''),'+',''),'&',''),'.',''),'=',''),'/',''),'#','') as 'Address'
        ,CASE WHEN LOWER(REPLACE(REPLACE(BillNumbers, CHAR(13), ' '), CHAR(10), ' ')) = '' THEN CONVERT(NVARCHAR,ABS(CAST(CAST(NEWID() AS VARBINARY) AS INT)))
        ELSE LOWER(REPLACE(REPLACE(BillNumbers, CHAR(13), ' '), CHAR(10), ' ')) 
        END as Numbers
FROM (
SELECT [CustomerID]
            ,CASE WHEN BillEmail = '' OR BillEmail = 'N/A' THEN ShipEmail
            ELSE BillEmail
            END as BillEmail
            ,CASE WHEN BillFirstName = '' THEN REPLACE(REPLACE([ShipFirstName], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillFirstName], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillFirstName
            ,CASE WHEN BillLastName = '' THEN REPLACE(REPLACE([ShipLastName], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillLastName], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillLastName
            ,CASE WHEN BillCity = '' THEN REPLACE(REPLACE([ShipCity], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillCity], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillCity
            ,CASE WHEN BillCompany = '' THEN REPLACE(REPLACE([ShipCompany], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillCompany], CHAR(13), ' '), CHAR(10), ' ') 
            END AS BillCompany
            ,CASE WHEN BillCountryCode = ''THEN REPLACE(REPLACE([ShipCountryCode], CHAR(13), ' '), CHAR(10), ' ') 
            ELSE REPLACE(REPLACE([BillCountryCode], CHAR(13), ' '), CHAR(10), ' ') 
            END as BillCountryCode
            ,CASE WHEN BillPhone = '' THEN REPLACE(REPLACE([ShipPhone], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillPhone], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillPhone
            ,CASE WHEN BillPostalCode = '' THEN REPLACE(REPLACE([ShipPostalCode], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillPostalCode], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillPostalCode
            ,CASE WHEN BillStateProvCode = '' THEN REPLACE(REPLACE([ShipStateProvCode], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillStateProvCode], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillStateProvCode
            ,CASE WHEN BillStreet1 = '' THEN REPLACE(REPLACE([ShipStreet1], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillStreet1], CHAR(13), ' '), CHAR(10), ' ') 
            END AS BillStreet1
            ,CASE WHEN SUBSTRING([BillStreet1], 1, CHARINDEX(' ', [BillStreet1],CHARINDEX(' ', BillStreet1) + 1)) = ''
            THEN SUBSTRING([ShipStreet1], 1, CHARINDEX(' ', [ShipStreet1],CHARINDEX(' ', ShipStreet1) + 1))
            ELSE SUBSTRING([BillStreet1], 1, CHARINDEX(' ', [BillStreet1],CHARINDEX(' ', BillStreet1) + 1))
            END as BillNumbers
            ,CASE WHEN BillStreet2 = '' THEN REPLACE(REPLACE([ShipStreet2], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillStreet2], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillStreet2
            ,CASE WHEN BillStreet3 = '' THEN REPLACE(REPLACE([ShipStreet3], CHAR(13), ' '), CHAR(10), ' ')
            ELSE REPLACE(REPLACE([BillStreet3], CHAR(13), ' '), CHAR(10), ' ')
            END AS BillStreet3
  FROM [Customer]
)as Data3
) ListB
ON MDS1.mdq.Similarity(ListA.FirstName+' '+ListA.LastName, ListB.FirstName+' '+ListB.LastName, 3, 1.0, @MatchScore) >= @MatchScore
OR MDS1.mdq.Similarity(ListA.BillEmail,ListB.BillEmail, 3, 1.0, @MatchScore) >= @MatchScore
OR MDS1.mdq.Similarity(ListA.Numbers,ListB.Numbers, 3, 1.0, @MatchScore) >= @MatchScore
OR MDS1.mdq.Similarity(ListA.Phone,ListB.Phone, 3, 1.0, @MatchScore) >= @MatchScore

UPDATE [TempMatch]
SET MatchScore0 = MDS1.mdq.Similarity(ListAEmail,ListBEmail, 3, 1.0, @MatchScore)

UPDATE [TempMatch]
SET MatchScore1 = MDS1.mdq.Similarity(ListAFullname, ListBFullname, 3, 1.0, @MatchScore)

UPDATE [TempMatch]
SET MatchScore2 = MDS1.mdq.Similarity(ListAAddress, ListBAddress, 3, 1.0, @MatchScore)

UPDATE [TempMatch]
SET MatchScore3 = MDS1.mdq.Similarity(ListAPhone, ListBPhone, 3, 1.0, @MatchScore)

编辑

根据@John Pasquet的建议，我可以用他的建议创建一个新表，并将我的查询缩短为这个

DECLARE @MatchScore float = .8
SELECT *
FROM (
SELECT ListA.CustomerID as ListACustomerID
      ,ListA.BillEmail as ListAEmail
      ,ListA.FirstName+' '+ListA.LastName AS ListAFullname
      ,ListA.Numbers AS ListAAddress
      ,ListA.Phone as ListAPhone
      ,ListB.CustomerID as ListBCustomerID
      ,ListB.BillEmail as ListBEmail
      ,ListB.FirstName+' '+ListB.LastName AS ListBFullname
      ,ListB.Numbers AS ListBAddress
      ,ListB.Phone as ListBPhone
      ,MDS1.mdq.Similarity(ListA.FirstName+' '+ListA.LastName, ListB.FirstName+' '+ListB.LastName, 3, 1.0, @MatchScore) as NameScore
      ,MDS1.mdq.Similarity(ListA.BillEmail, ListB.BillEmail, 3, 1.0, @MatchScore) as EmailScore
      ,MDS1.mdq.Similarity(ListA.Numbers,ListB.Numbers,3,1.0, @MatchScore) as NumberScore
      ,MDS1.mdq.Similarity(ListA.Phone,ListB.Phone,3,1.0, @MatchScore) as PhoneScore

FROM (
SELECT [CustomerID]
            ,BillEmail
            ,BillFirstName AS FirstName
            ,BillLastName AS LastName
            ,BillPhone AS Phone
            ,BillStreet1
            ,CASE WHEN SUBSTRING([BillStreet1], 1, CHARINDEX(' ', [BillStreet1],CHARINDEX(' ', BillStreet1) + 1)) = ''
            THEN SUBSTRING([ShipStreet1], 1, CHARINDEX(' ', [ShipStreet1],CHARINDEX(' ', ShipStreet1) + 1))
            ELSE SUBSTRING([BillStreet1], 1, CHARINDEX(' ', [BillStreet1],CHARINDEX(' ', BillStreet1) + 1))
            END as Numbers
  FROM [CustomerFix]
) ListA
JOIN (
SELECT [CustomerID]
            ,BillEmail
            ,BillFirstName AS FirstName
            ,BillLastName AS LastName
            ,BillPhone AS Phone
            ,BillStreet1
            ,CASE WHEN SUBSTRING([BillStreet1], 1, CHARINDEX(' ', [BillStreet1],CHARINDEX(' ', BillStreet1) + 1)) = ''
            THEN SUBSTRING([ShipStreet1], 1, CHARINDEX(' ', [ShipStreet1],CHARINDEX(' ', ShipStreet1) + 1))
            ELSE SUBSTRING([BillStreet1], 1, CHARINDEX(' ', [BillStreet1],CHARINDEX(' ', BillStreet1) + 1))
            END as Numbers
  FROM [CustomerFix]
) ListB
ON MDS1.mdq.Similarity(ListA.FirstName+' '+ListA.LastName, ListB.FirstName+' '+ListB.LastName, 3, 1.0, @MatchScore) >= @MatchScore
OR MDS1.mdq.Similarity(ListA.BillEmail,ListB.BillEmail, 3, 1.0, @MatchScore) >= @MatchScore
OR MDS1.mdq.Similarity(ListA.Numbers,ListB.Numbers, 3, 1.0, @MatchScore) >= @MatchScore
OR MDS1.mdq.Similarity(ListA.Phone,ListB.Phone, 3, 1.0, @MatchScore) >= @MatchScore
) as Data5
WHERE (NameScore+EmailScore+NumberScore+PhoneScore) > 1

我将此作为一个查询运行以进行测试，因此我将缓慢但肯定地获得结果。它仍然是非常CPU密集型的，因为有130万条记录。我希望在创建将清理和更新Customer表的其余存储过程之前，可以对其进行进一步优化

在我完成这一初始数据清理后，我将制作一个SP，在新客户进来时对其进行清理

编辑#2

添加了额外的列并重新索引了表，这样我就可以通过不比较连接的字符串来减少CPU的使用。我看到，仅仅通过添加2个额外的列和重新索引，速度至少提高了10倍

DECLARE @MatchScore float = .8

SELECT *
FROM (
SELECT ListA.CustomerID as ListACustomerID
      ,ListA.BillEmail as ListAEmail
      ,ListA.[Name] AS ListAFullname
      ,ListA.Numbers AS ListAAddress
      ,ListA.Phone as ListAPhone
      ,ListB.CustomerID as ListBCustomerID
      ,ListB.BillEmail as ListBEmail
      ,ListB.[Name] AS ListBFullname
      ,ListB.Numbers AS ListBAddress
      ,ListB.Phone as ListBPhone
      ,MDS1.mdq.Similarity(ListA.[Name], ListB.[Name], 3, 1.0, @MatchScore) as NameScore
      ,MDS1.mdq.Similarity(ListA.BillEmail, ListB.BillEmail, 3, 1.0, @MatchScore) as EmailScore
      ,MDS1.mdq.Similarity(ListA.Numbers,ListB.Numbers,3,1.0, @MatchScore) as NumberScore
      ,MDS1.mdq.Similarity(ListA.Phone,ListB.Phone,3,1.0, @MatchScore) as PhoneScore
FROM (
SELECT [CustomerID]
            ,BillEmail
            ,BillFullName as [Name]
            ,BillPhone AS Phone
            ,BillNumbers as Numbers
  FROM [CustomerFix]
) ListA
JOIN (
SELECT [CustomerID]
            ,BillEmail
            ,BillFullName as [Name]
            ,BillPhone AS Phone
            ,BillNumbers as Numbers
  FROM [CustomerFix]
) ListB
ON MDS1.mdq.Similarity(ListA.[Name], ListB.[Name], 3, 1.0, @MatchScore) >= @MatchScore
OR MDS1.mdq.Similarity(ListA.BillEmail,ListB.BillEmail, 3, 1.0, @MatchScore) >= @MatchScore
OR MDS1.mdq.Similarity(ListA.Numbers,ListB.Numbers, 3, 1.0, @MatchScore) >= @MatchScore
OR MDS1.mdq.Similarity(ListA.Phone,ListB.Phone, 3, 1.0, @MatchScore) >= @MatchScore
) as Data5
WHERE (NameScore+EmailScore+NumberScore+PhoneScore) > 1

---

这是一个巨大的CPU量。当您在所有这些之后进行比较时，您将失去索引的所有功能。更好的方法是使用所有REPLACE和LOWER语句创建额外的列。然后在这些索引上创建索引，然后运行查询。您还可以运行具有前10名或类似内容的SELECT。我会对它进行分析，看看它的效率有多低，但我怀疑你能对它做多少优化。这些数据看起来是隐藏的，而不是加密的。是这样吗？@johnpsquet我将按照您的建议创建额外的列。我会发布我的结果。感谢you@scsimon标有*******的数据只是我在保护客户。该数据实际上存储为nvarchar的s@JohnPasquet&@SqlZim我昨晚清理了表中不完整的记录。这使记录计数下降到110万，我采纳了建议，用连接的名称创建一个附加列，并将它们添加到索引中。我还继续创建了一个新列，用于别名为“数字”的列。运行我的初始查询进行测试，我已经看到速度至少提高了10-15倍。我们正朝着正确的方向前进。今天我会通知你我的进展。谢谢你们，这是一个巨大的CPU量。当您在所有这些之后进行比较时，您将失去索引的所有功能。更好的方法是使用所有REPLACE和LOWER语句创建额外的列。然后在这些索引上创建索引，然后运行查询。您还可以运行具有前10名或类似内容的SELECT。我会对它进行分析，看看它的效率有多低，但我怀疑你能对它做多少优化。这些数据看起来是隐藏的，而不是加密的。是这样吗？@johnpsquet我将按照您的建议创建额外的列。我会发布我的结果。感谢you@scsimon标有*******的数据只是我在保护客户。该数据实际上存储为nvarchar的s@JohnPasquet&@SqlZim我昨晚清理了表中不完整的记录。这使记录计数下降到110万，我采纳了建议，用连接的名称创建一个附加列，并将它们添加到索引中。我还继续创建了一个新列，用于别名为“数字”的列。运行我的初始查询进行测试，我已经看到速度至少提高了10-15倍。我们正朝着正确的方向前进。今天我会通知你我的进展。谢谢各位。