I have a 37 table MS Access database. I have, in the past, exported the tables to CSV one at a time. Is there a way to export the tables to CSV in a single stroke?
You can use the TableDefs collection and TransferText.
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One really annoying thing about Access is that when using the import wizard to import a CSV file, if there is a column in the CSV that isn't a field in the table being imported into, it gives you an error and shuts down the import. It should provide an option to skip columns in the source file if it isn't in the already existing table. Yes, it does give the option to skip if creating a new table from the source file, but that isn't what I am doing. Is there a solution to this or a way to automate it? Does using the VBA Access import function permit this?
The reason I want to skip these columns is because they were calculated columns in Excel file submitted by client, file is converted to CSV for importing in to Access, and I can easily recalculate them with SQL in Access. No reason to have them in the table.
When running the import wizard, you can save the specifications by some name you choose.
Then use:
DoCmd.TransferText acImportDelim, SpecificationName, ... etc.
I have data in excel sheet (CSV format) and I have imported this data into Mysql and filtered the data based on dates (only 2014 and 2015) years have been selected.
The client wants data back in excel. So, I have to import the data which I had extracted based on dates into excel. I believe this would be a temporary table. So, how do we import the temporary tables to excel.
I don't know how to use mysql to excel converter in this case, as the temporary table is being used.
Here is a software by MySQL to handle that
https://www.mysql.com/why-mysql/windows/excel/
MySQL for Excel makes the task of getting MySQL data into Excel a very
easy one; there are no intermediate CSV files required, only a couple
of clicks and data will be imported to Excel. MySQL for Excel supports
importing data from tables, views and stored procedures.
The easiest way of doing this could be as follows
select <fieldnames>
from <temporary table>
Then copy and paste the results into excel. save as excel format, and voila!
Edit: if you are using a tool like phpMyamin, you can just export the results of your query into the desired format. If you want the headers, choose "include column names" in the advanced" export.
If you just need a document that opens in excel you could export the tables as a CSV file from mysql.
http://www.mysqltutorial.org/mysql-export-table-to-csv/
If you have to actually create an excel worksheet then you would have to use a library based on what programming language you are using to convert the data to an excel spreadsheet.
My goal is to create a little program that gets data from 10 different CSV. files and storing the infomation in a mysql database. Each CSV file should be linked to it's own table. 10 CSV files and 10 tables in the database.
I am doing this in Visual studio with VB6
What is the best way to this?
How do i handle the data from each file and input them in the right cells in the database?
Do i need 10 different filereaders and 10 different SQL queries to do this?
When should I open and close the connection to the database?
I'm using ms access 2007. I save the database contain table in 2003 format. If i open a file, i saw four table. But three table are able to open. one table is unable to open and occur a message unrecognized database format.Please help me. It's very important one. How to recover that table.
If compress and repair your db cannot restore your table, I think that the only thing you can try is to create a new empty access db and import your four tables from your corrupted db.
I have two mdb files with equal structure (ca. 30 tables) but different data. I want to put the data together. Is there a user wizard to achive it in MS Access or do I have to do it manualy using INSERT for each table?
Thanks in advance.
You can attach (not import) tables from database A into database B. Then, for each table you can build a query to append data from A.tableX to B.tableX