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我得到了一个 Access 数据库，其中包括 12 个数据表，每个表包含大约 200,000 行。这些表格中的每一个都包含大约 200 座建筑物的月度数据。我不想花很多时间规范化数据库，我只是编写了一个快速脚本来根据这些数据为每个建筑物创建一个表。

说了这么多，我的代码运行大约需要 1.5 小时。我可以做些什么来加快速度，还是我只是达到了 Access 的极限？任何建议将不胜感激。

Sub RunQueryForEachBuilding()

Dim RRRdb As DAO.Database
Dim rstBuildNames As DAO.Recordset
Dim rstDataTables As DAO.Recordset
Dim rstMonthlyData As DAO.Recordset
Dim strSQL As String
Dim sqlCreateT As String
Dim sqlBuildData As String
Dim strDataTable As String
Dim sqlDrop As String


On Error GoTo ErrorHandler
'open recordsets for building names and datatables
Set RRRdb = CurrentDb
Set rstBuildNames = RRRdb.OpenRecordset("BuildingNames")
Set rstDataTables = RRRdb.OpenRecordset("DataTables")

 Do Until rstBuildNames.EOF
    ' Create a table for each building.
    ' Check if table exists, if it does delete and recreate.

    If Not IsNull(DLookup("Name", "MSysObjects", "Name='" & rstBuildNames.Fields("BuildingPath") & "'")) Then
        '  Table Exists - delete existing
        sqlDrop = "DROP TABLE [" & rstBuildNames.Fields("BuildingPath") & "]"

        RRRdb.Execute sqlDrop
        ' re-create blank table
    End If
    'create table for this building
    sqlCreateT = "CREATE TABLE [" & rstBuildNames.Fields("BuildingPath") & _
    "] (BuildingPath VARCHAR, [TimeStamp] DATETIME, CHWmmBTU DOUBLE , ElectricmmBTU DOUBLE, kW DOUBLE, kWSolar DOUBLE, kWh DOUBLE, kWhSolar DOUBLE)"

    RRRdb.Execute sqlCreateT

'populate data from monthly table into the building name table.
 Do While Not rstDataTables.EOF
    ' get data from each monthly table for this building and APPEND to table.
    strDataTable = rstDataTables.Fields("[Data Table]")
    'Debug.Print strDataTable
    'create a SQL string that only selects records that are for the correct building & inserts them into the building table

    sqlBuildData = "INSERT INTO [" & rstBuildNames.Fields("BuildingPath")
    sqlBuildData = sqlBuildData & "] ([TimeStamp], [CHWmmBTU], [ElectricmmBTU], kW, [kWSolar], kWh, [kWhSolar], BuildingPath) "
    sqlBuildData = sqlBuildData & " SELECT [TimeStamp], [CHW mmBTU], [Electric mmBTU], kW, [kW Solar], kWh, [kWh Solar], BuildingPath FROM "
    sqlBuildData = sqlBuildData & rstDataTables.Fields("[Data Table]") & " WHERE BuildingPath LIKE '*" & rstBuildNames.Fields("BuildingPath") & "'"

    'Debug.Print sqlBuildData

    RRRdb.Execute sqlBuildData
    rstDataTables.MoveNext

Loop

rstBuildNames.MoveNext
rstDataTables.MoveFirst

Loop

Set rstBuildNames = Nothing
Set rstDataTables = Nothing

ErrorHandler:
 'MsgBox "Error #: " & Err.Number & vbCrLf & vbCrLf & Err.Description

End Sub
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1 回答 1

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rstBuildNames.Fields("BuildingPath")该代码会删除，然后使用相同的结构重新创建。清空表格应该更快：

"DELETE FROM " & rstBuildNames.Fields("BuildingPath")

但是，这不太可能足够加快操作速度。

查询的WHERE子句INSERT强制进行全表扫描...

" WHERE BuildingPath LIKE '*" & rstBuildNames.Fields("BuildingPath") & "'"

如果您可以使用精确字符串匹配而不是Like比较，并在 上创建索引BuildingPath，您应该会看到显着的改进。

" WHERE BuildingPath = '" & rstBuildNames.Fields("BuildingPath") & "'"

我也会建议dbOpenSnapshot，即使它不会产生明显的差异，因为您只打开一次记录集。（这可能无济于事，但不会造成伤害。）

Set rstBuildNames = RRRdb.OpenRecordset("BuildingNames", dbOpenSnapshot)
Set rstDataTables = RRRdb.OpenRecordset("DataTables", dbOpenSnapshot)
于 2013-08-01T21:12:37.800 回答