Want to import data from JSON Lines (JSONL / NDJSON / LDJSON) file to Oracle ?
Try Withdata FileToDB, a desktop JSONL to Oracle converter for Windows, MacOS, and Linux, Import JSON Lines 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 JSONL file(s) to online services.
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
JSON Lines text format (JSONL), also called Newline-delimited JSON (NDJSON), or Line-delimited JSON (LDJSON). JSON Lines files may be saved with the file extension .jsonl, *.ndjson, *.ldjson.
Import data from JSON Lines (JSONL / NDJSON / LDJSON) file to Oracle
Login to Oracle -> Choose JSON Lines file -> Set Oracle table -> Import JSON Lines to Oracle
Choose Oracle and logon.
Click “Wizard – 1 File To 1 Table” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Open a JSON Lines (JSONL / NDJSON / LDJSON) file.
Support large ( > 4GB ) JSON Lines file.
Here is the file’s content.
FileToDB will parse JSON Lines file.
2. Select a Oracle table and config fields.
3. Preview data will be in Oracle table.
4. Import JSON Lines data to Oracle.
View imported data in Oracle table
Convert JSON Lines (JSONL / NDJSON / LDJSON) to Oracle in command line
Save “JSON Lines to Oracle” session, then you can:
- Import JSON Lines (JSONL / NDJSON / LDJSON) to Oracle in Windows command line.
- Import JSON Lines (JSONL / NDJSON / LDJSON) to Oracle in Linux command line.
- Import JSON Lines (JSONL / NDJSON / LDJSON) to Oracle in macOS command line.
Set scheduled tasks for converting JSON Lines (JSONL / NDJSON / LDJSON) to Oracle
You can schedule and automate this “JSON Lines to Oracle” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON Lines to Oracle” conversion.
- Set scheduled task for “JSON Lines to Oracle” conversion.