This week's book giveaway is in the OO, Patterns, UML and Refactoring forum. We're giving away four copies of Refactoring for Software Design Smells: Managing Technical Debt and have Girish Suryanarayana, Ganesh Samarthyam & Tushar Sharma on-line! See this thread for details.
CSV doesn't mean anything to a database so you'd have to split the row into columns. Then you can do a normal PreparedStatement update to match. Note that the merge statement in SQL lets you do an update or insert depending on whether there is already a match.
Basically, Oracle external tables allow you to define a SQL table structure over a flat file e.g. in CSV format. Because this looks like any other table inside Oracle, you can then perform SQL operations on the table e.g. to compare its contents with other tables in your database. Generally if your external table is based on a CSV file then you can only read from it within Oracle i.e. you cannot write back to the CSV file.
External tables are especially useful if you have to upload large volumes of data into your database from a flat file format such as CSV: put your file in the appropriate Oracle directory, define your external table to point to that file, then simply use SQL to SELECT the data from the external table and INSERT/MERGE it into a normal relational table in the database. This bulk loading mechanism is much faster than reading records from a CSV file e.g. in Java and using individual INSERTs to write them to the DB.
Of course, if you're not using Oracle, then you're out of luck!
No more Blub for me, thank you, Vicar.
I’ve looked at a lot of different solutions, and in my humble opinion Aspose is the way to go. Here’s the link: http://aspose.com
subject: comparing csv file values with database attributes.