Want to bulk import JSON files into Oracle tables at one time?
Try Withdata FileToDB, a desktop JSON to Oracle converter for Windows, MacOS, and Linux, Batch import JSON 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 JSON file(s) to online services.
- Support Windows, Linux, and macOS.
Bulk import JSON files into Oracle tables
Login to Oracle -> Choose JSON files -> Set Oracle tables -> Import JSON files to Oracle tables
Choose Oracle and logon.
Click “Wizard – N Files To N Tables” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Select a folder that constains JSON files.
2. Config first JSON file importing options.
3. Set “Import Type”.
4. Map Oracle tables to JSON files.
5. Summary. Set “Convert Rows” and “Skip Rows” if need.
6. Import JSON files to Oracle tables, 1 file to 1 table, one by one.
View imported data in Oracle table
Bulk import JSON files into Oracle tables in command line
Save “bulk JSON files to Oracle tables” session, then you can:
- Bulk import JSON files into Oracle tables in Windows command line.
- Bulk import JSON files into Oracle tables in Linux command line.
- Bulk import JSON files into Oracle tables in macOS command line.
Set scheduled tasks for bulk importing JSON files into Oracle tables
You can schedule and automate this converting task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON to Oracle” conversion.
- Set scheduled task for “JSON to Oracle” conversion.
FAQ
More about Withdata FileToDB – JSON to Oracle converter
Download Withdata FileToDB
See Video: Batch import JSON to Oracle
See also:
JSON → Oracle reference
Type mapping
| Value kind | in JSON | in Oracle |
|---|---|---|
| Int | 1234 (number) | NUMBER(10) |
| Bigint | 9007199254740993 | NUMBER(19) |
| Decimal | 1234.56 (number) | NUMBER(p,s) |
| Float | 1.234e10 (number) | BINARY_DOUBLE |
| Text | "text" (string) | VARCHAR2(n) |
| Long text | "multi-line\ntext" (escaped newline inside a string) | CLOB |
| Date | "2026-09-18" (string) | DATE |
| Datetime | "2026-09-18T14:30:00Z" (string) | TIMESTAMP |
| Binary | "base64:..." (string) | BLOB |
| Boolean | true / false (boolean) | NUMBER(1) |
| JSON | nested object or array, kept as structure | CLOB |
Dialect differences
JSON 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 JSON | in Oracle |
|---|---|---|
| port | — | 1521 |
| identifiers | Double quotes; backslash escapes | "double quotes" |
| row limit | — | FETCH FIRST n ROWS ONLY |
| dates | No date type: dates arrive as strings and the reader must p... | DATE, TIMESTAMP |
| long text | — | CLOB, NCLOB |
| binary | Not supported natively - base64 inside a string | BLOB, BFILE |
| separator | Braces and commas | — |
| encoding | UTF-8 by definition | — |
| typing | string, number, boolean, null, object, array - no date type | — |
| shape | Nested objects and arrays | Tables of rows and columns |
| ceiling | Whole document is usually parsed into 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.
