Want to import data from JSON Lines (JSONL / NDJSON / LDJSON) file to Azure?
Try Withdata FileToDB, a desktop JSONL to Azure converter for Windows, MacOS, and Linux, Import JSON Lines to Azure, 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 Azure
Login to Azure -> Choose JSON Lines file -> Set Azure table -> Import JSON Lines to Azure
Choose Azure 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 Azure table and config fields.
3. Preview data will be in Azure table.
4. Import JSON Lines data to Azure.
View imported data in Azure table
Convert JSON Lines (JSONL / NDJSON / LDJSON) to Azure in command line
Save “JSON Lines to Azure” session, then you can:
- Import JSON Lines (JSONL / NDJSON / LDJSON) to Azure in Windows command line.
- Import JSON Lines (JSONL / NDJSON / LDJSON) to Azure in Linux command line.
- Import JSON Lines (JSONL / NDJSON / LDJSON) to Azure in macOS command line.
Set scheduled tasks for converting JSON Lines (JSONL / NDJSON / LDJSON) to Azure
You can schedule and automate this “JSON Lines to Azure” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON Lines to Azure” conversion.
- Set scheduled task for “JSON Lines to Azure” conversion.