一直以来,ACCESS 数据 库 中的申报 数据 在分公司与总公司之间 传递 ,用EXCEL或DBASE、TXT甚至ACCESS等格式,我总觉得不太理想。最近看了一本书,不经意间发现了一个 方法 ,使用ACCESS 数据 库 生成申报 数据 与读入 数据 似乎简单了不少,特拿出来与大家
一直以来,ACCESS数据库中的申报数据在分公司与总公司之间传递,用EXCEL或DBASE、TXT甚至ACCESS等格式,我总觉得不太理想。最近看了一本书,不经意间发现了一个方法,使用ACCESS数据库生成申报数据与读入数据似乎简单了不少,特拿出来与大家分享。同时,也希望能得到更多的指点。附上示例:
Sub Mwrite()
On Error GoTo thiserr
Dim rs As New ADODB.Recordset
rs.Open "dlmd", CurrentProject.Connection, adOpenDynamic, adLockOptimistic, acTable
rs.Save "a:\dlmd.adtg", adPersistADTG
rs.Close
Set rs = Nothing
thisexit:
Exit Sub
thiserr:
MsgBox Err.Description
Resume thisexit
End Sub
Sub Mread()
On Error GoTo Merr
Dim i As Integer
Dim rsDe As New ADODB.Recordset
Dim rsSo As New ADODB.Recordset
rsSo.Open "a:\dlmd.adtg", "provider=mspersist"
rsDe.Open "dlmd", CurrentProject.Connection, adOpenKeyset, adLockOptimistic, acTable
Do Until rsSo.EOF
rsDe.AddNew
For i = 0 To rsSo.Fields.Count - 1
rsDe.Fields(i) = rsSo.Fields(rsDe.Fields(i).Name)
Next i
rsDe.Update
rsSo.MoveNext
Loop
rsSo.Close
rsDe.Close
Set rsSo = Nothing
Set rsDe = Nothing
Mexit:
Exit Sub
Merr:
MsgBox Err.Description
Resume Mexit
End Sub

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MySQloffersechar, Varchar, text, Anddenumforstringdata.usecharforfixed-Lengthstrings, VarcharerForvariable-Length, text forlarger text, AndenumforenforcingdataAntegritywithaetofvalues.

Optimizing MySQLBLOB requests can be done through the following strategies: 1. Reduce the frequency of BLOB query, use independent requests or delay loading; 2. Select the appropriate BLOB type (such as TINYBLOB); 3. Separate the BLOB data into separate tables; 4. Compress the BLOB data at the application layer; 5. Index the BLOB metadata. These methods can effectively improve performance by combining monitoring, caching and data sharding in actual applications.

Mastering the method of adding MySQL users is crucial for database administrators and developers because it ensures the security and access control of the database. 1) Create a new user using the CREATEUSER command, 2) Assign permissions through the GRANT command, 3) Use FLUSHPRIVILEGES to ensure permissions take effect, 4) Regularly audit and clean user accounts to maintain performance and security.

ChooseCHARforfixed-lengthdata,VARCHARforvariable-lengthdata,andTEXTforlargetextfields.1)CHARisefficientforconsistent-lengthdatalikecodes.2)VARCHARsuitsvariable-lengthdatalikenames,balancingflexibilityandperformance.3)TEXTisidealforlargetextslikeartic

Best practices for handling string data types and indexes in MySQL include: 1) Selecting the appropriate string type, such as CHAR for fixed length, VARCHAR for variable length, and TEXT for large text; 2) Be cautious in indexing, avoid over-indexing, and create indexes for common queries; 3) Use prefix indexes and full-text indexes to optimize long string searches; 4) Regularly monitor and optimize indexes to keep indexes small and efficient. Through these methods, we can balance read and write performance and improve database efficiency.


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