Difference between revisions of "MS Access and MySQL/connecting"

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Revision as of 01:00, 9 November 2008

It is possible to use Microsoft Access as a client – or as an intermediary for Visual Basic code – while using MySQL as the database engine. This provides a somewhat less bumpy migration path for VB/VBA applications.

The basic technique is to set up your MySQL server as a data source via ODBC. Then, in MS Access, you link to the tables you want in the ODBC data source.

Instructions

Related Pages

  • migrating MS Access to MySQL: moving data in MS Access over to MySQL, while dealing with the necessity of still accessing that data from MS Access during the process

Notes

ODBC appears to translate data types it doesn't understand into Memo fields. This would be fine, except that you can't sort on Memo fields – so you may have to use types which ODBC can handle better. Fields which can't be sorted on also can't be designated as indexes in the data schema (on MySQL's end), or Access will refuse to import the table.

MySQL type MS Access type Notes
TINYTEXT Memo
VARCHAR(255) Text field size = 255

(I'll add to this table as more examples come up.)

Access also has trouble dealing with AUTOINCREMENT fields (usually used for ID) in the table data viewer. If you create a new field but leave the autonumbered ID field blank, on exiting the field Access will show the record as "#deleted". If you close and reopen the table data view, the new data appears. If you enter an ID by hand when you create the record, this problem doesn't happen.

Problems Solved

Update error

I ran into a problem writing records using DAO. On "Update", an error message stated that another user is trying to write to the same data. The error message:

MS Access error 3197.png

This happens under at least two different circumstances.

In one of them. the code was opening a new recordset each time, which apparently I could get away with when the database was local. I also added a timestamp field to the table as recommended here; it remains to be seen if that was necessary.

In another, I couldn't figure out why the message was occurring, but the data was actually being written properly, so I just inserted an "On Error" pair around the line where the error was occurring:

On Error Resume Next
...
On Error Goto 0

FindFirst is slow

Opening an ODBC table as a DAO recordset and then using FindFirst() on that recordset can be immensely slow, taking minutes or hours for larger datasets. (This would seem to indicate that FindFirst() is requesting records one at a time and checking each one for a match, rather than passing the filter request to the remote server or even reading the entire dataset into memory before searching it.)

The alternative, which turns out to be very quick, is to use a query to open a recordset containing just the record(s) you want, using CurrentDb.OpenRecordset(). Even if each record is created and opened separately, this is still much faster than Recordset.FindFirst().