Bulk import CSV files into Oracle tables

Want to bulk import CSV files into Oracle tables at one time?

Try Withdata FileToDB, a desktop CSV to Oracle converter for Windows, MacOS, and Linux, Convert CSV to Oracle, Easy and Fast.

• Can run in GUI mode, Step by Step, just a few mouse clicks.
• Can run in Command line, for Scheduled Tasks and Streams.
• Convert locally and privately, avoid uploading large or private CSV files to online services.
• Support Windows, Linux, and macOS.

Download Withdata FileToDB
Windows 64 bit
Windows 32 bit
Linux .deb (For Debian, Ubuntu) 64 bit
Linux .rpm (For Red Hat, Fedora, SUSE) 64 bit
MacOS 64 bit

Bulk import CSV files into Oracle tables

Login to Oracle -> Choose CSV files -> Set Oracle tables -> Import CSV files to Oracle tables

Choose Oracle and logon.

Click “Wizard – N Files To N Tables” at task dialog.

Select the “CSV” file type.

then show the wizard.

1. Select a folder that constains CSV files.

Support large ( > 4GB ) CSV files.

2. Config first CSV file importing options.

3. Set “Import Type”.

4. Map Oracle tables to CSV files.

5. Summary. Set “Convert Rows” and “Skip Rows” if need.

6. Import CSV files to Oracle tables, 1 file to 1 table, one by one.

View imported data in Oracle table

Bulk import CSV files into Oracle tables in command line

Save “bulk CSV files to Oracle tables” session, then you can:

• Bulk import CSV files into Oracle tables in Windows command line.
• Bulk import CSV files into Oracle tables in Linux command line.
• Bulk import CSV files into Oracle tables in macOS command line.

Set scheduled tasks for bulk importing CSV files into Oracle tables

You can schedule and automate this converting task by:

1. Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to Oracle” conversion.
2. Set scheduled task for “CSV to Oracle” conversion.

FAQ

More about Withdata FileToDB – CSV to Oracle converter

See Video: Oracle bulk import CSV files into tables in one go

See also:

• Import CSV into Oracle
• Oracle import multiple CSV files into a single table