Want to import multiple CSV files into a single Oracle table?
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 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
Import multiple CSV files into a single Oracle table
Login to Oracle -> Choose CSV files -> Set Oracle table -> Import CSV files to Oracle table
Choose Oracle and logon.
Click “Wizard – N Files To 1 Table” 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. Select a Oracle table and config fields.
4. Preview data will be in Oracle table.
5. Import multiple CSV files to the Oracle table.
View imported data in Oracle table
Import multiple CSV files to Oracle in command line
Save “multiple CSV files to Oracle” session, then you can:
- Import multiple CSV files to Oracle in Windows command line.
- Import multiple CSV files to Oracle in Linux command line.
- Import multiple CSV files to Oracle in macOS command line.
Set scheduled tasks for importing multiple CSV files to Oracle
You can schedule and automate this converting task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “CSV to Oracle” conversion.
- Set scheduled task for “CSV to Oracle” conversion.
FAQ
More about Withdata FileToDB – CSV to Oracle converter
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
See Video: Batch import data from multiple CSV files into a single Oracle table in a few clicks
See also:
CSV → Oracle reference
Type mapping
| Value kind | in CSV | in Oracle |
|---|---|---|
| Int | 1234 | NUMBER(10) |
| Bigint | 9007199254740993 | NUMBER(19) |
| Decimal | 1234.56 | NUMBER(p,s) |
| Float | 1.234e+10 | BINARY_DOUBLE |
| Text | quoted only when it contains a comma or a quote | VARCHAR2(n) |
| Long text | must be quoted; line breaks inside force multi-line records | CLOB |
| Date | 2026-09-18 | DATE |
| Datetime | 2026-09-18 14:30:00 | TIMESTAMP |
| Binary | not representable - base64 or hex string | BLOB |
| Boolean | TRUE / FALSE, or 1 / 0 depending on the writer | NUMBER(1) |
| JSON | the whole JSON value quoted, with internal quotes doubled | CLOB |
Dialect differences
CSV is a file format and Oracle is a database server, so the target has to be told the types the file never carried - the rows below are where the two sides diverge.
| Property | in CSV | in Oracle |
|---|---|---|
| port | — | 1521 |
| identifiers | Double quotes; a literal quote is doubled ("" ) | "double quotes" |
| row limit | — | FETCH FIRST n ROWS ONLY |
| dates | Conventional text: 2026-09-18 or 2026-09-18 14:30:00 | DATE, TIMESTAMP |
| long text | — | CLOB, NCLOB |
| binary | Not supported | BLOB, BFILE |
| separator | Comma "," | — |
| encoding | No declaration - UTF-8 works only with a BOM | — |
| typing | None - every field is text | — |
| shape | Flat table, optional header row | Tables of rows and columns |
| ceiling | No formal limit; row count bounded by memory | — |
Command line
| Side | Command |
|---|---|
| Oracle | exp / expdp |
| Oracle (load) | sqlldr (SQL*Loader) |
Convert your data online, free
Free in-browser converters for CSV, Excel, JSON, XML and SQL: Withdata Online Data Conversion. Large files, batch conversion or scheduling? See the offline desktop apps, or browse all data conversion tools.