Question

我有两个csv文件，其中包含Date，Open，High，Low和Close列。两个csv文件的日期列可能从不同的日期开始，任何csv可能没有另一个csv的日期值。

在这里，我想将这两个csv文件组合成单个csv，其中包含匹配的日期值和两个csv的close值。并且任何csv可能没有另一个csv的日期值，那么该特定日期的那些缺失值应该被指定为0.参见下图。

来源1

来源2

预期输出

Answer 1

请参阅Implementing the Equivalent of a FULL OUTER JOIN in Microsoft Access。

这是一个简短的演示：

Option Explicit

'Implementing the Equivalent of a FULL OUTER JOIN in Microsoft Jet SQL.

Private Sub Main()
    'We'll do our work in App.Path, where our input files are:
    ChDir App.Path
    ChDrive App.Path
    'Clean up from any prior test run:
    On Error Resume Next
    Kill "inner.txt"
    Kill "left.txt"
    Kill "right.txt"
    Kill "c4steps.txt"
    Kill "c.txt"
    Kill "schema.ini"
    On Error GoTo 0
    With New ADODB.Connection
        .Open "Provider=Microsoft.Jet.OLEDB.4.0;" _
            & "Data Source='.';" _
            & "Extended Properties='Text;Hdr=No'"
        'Do it in 4 steps for illustration:
        .Execute "SELECT [A].*, [B].[F2], [B].[F3], [B].[F4] " _
               & "INTO [inner.txt] FROM " _
               & "[a.txt] [A] INNER JOIN [b.txt] [B] ON " _
               & "[A].[F1] = [B].[F1]", _
                 , _
                 adCmdText Or adExecuteNoRecords
        .Execute "SELECT [A].*, 0 AS [B_F2], 0 AS [B_F3], 0 AS [B_F4] " _
               & "INTO [left.txt] FROM " _
               & "[a.txt] [A] LEFT JOIN [b.txt] [B] ON " _
               & "[A].[F1] = [B].[F1] " _
               & "WHERE [B].[F1] IS NULL", _
                 , _
                 adCmdText Or adExecuteNoRecords
        .Execute "SELECT [B].[F1], 0 AS [A_F2], 0 AS [A_F3], 0 AS [A_F4], " _
               & "[B].[F2], [B].[F3], [B].[F4] " _
               & "INTO [right.txt] FROM " _
               & "[a.txt] [A] RIGHT JOIN [b.txt] [B] ON " _
               & "[A].[F1] = [B].[F1] " _
               & "WHERE [A].[F1] IS NULL", _
                 , _
                 adCmdText Or adExecuteNoRecords
        .Execute "SELECT * " _
               & "INTO [c4steps.txt] FROM (" _
               & "SELECT * FROM [inner.txt] UNION ALL " _
               & "SELECT * FROM [left.txt] UNION ALL " _
               & "SELECT * FROM [right.txt]) " _
               & "ORDER BY [F1]", _
                 , _
                 adCmdText Or adExecuteNoRecords
        'Do it all in one go:
        .Execute "SELECT * " _
               & "INTO [c.txt] FROM (" _
               & "SELECT [A].*, [B].[F2], [B].[F3], [B].[F4] " _
               & "FROM [a.txt] [A] INNER JOIN [b.txt] [B] ON " _
               & "[A].[F1] = [B].[F1] UNION ALL " _
               & "SELECT [A].*, 0 AS [B_F2], 0 AS [B_F3], 0 AS [B_F4] " _
               & "FROM [a.txt] [A] LEFT JOIN [b.txt] [B] ON " _
               & "[A].[F1] = [B].[F1] " _
               & "WHERE [B].[F1] IS NULL UNION ALL " _
               & "SELECT [B].[F1], 0 AS [A_F2], 0 AS [A_F3], 0 AS [A_F4], " _
               & "[B].[F2], [B].[F3], [B].[F4] " _
               & "FROM [a.txt] [A] RIGHT JOIN [b.txt] [B] ON " _
               & "[A].[F1] = [B].[F1] " _
               & "WHERE [A].[F1] IS NULL) " _
               & "ORDER BY [F1]", _
                 , _
                 adCmdText Or adExecuteNoRecords
        .Close
    End With
    MsgBox "Done"
End Sub

请注意，在我的c4steps.txt和c.txt示例输入文件中输出a.txt然后b.txt后，我已经完成了两次。 A和B是输入文件的别名，但你也可以拼出实际的文件名。

列名F1，F2，A_F1，B_F2等是Jet Text IISAM生成的默认名称。通过更多的努力，在运行之前正确形成schema.ini更多＆＃34;有意义的＆＃34;列名可能已被使用。

浏览生成的schema.ini可能有助于了解正在发生的事情。

a.txt

1901,1,1,1
1902,2,2,2
1904,4,4,4
1906,6,6,6
1908,8,8,8

b.txt

1901,11,11,11
1902,12,12,12
1903,13,13,13
1904,14,14,14
1905,15,15,15
1906,16,16,16

c.txt

1901,1,1,1,11,11,11
1902,2,2,2,12,12,12
1903,0,0,0,13,13,13
1904,4,4,4,14,14,14
1905,0,0,0,15,15,15
1906,6,6,6,16,16,16
1908,8,8,8,0,0,0

如何根据VB6中的匹配值合并两个CSV文件

1 个答案: