Withdata Software

Import data from JSON Lines (JSONL / NDJSON / LDJSON) file to DB2

Want to import data from JSON Lines (JSONL / NDJSON / LDJSON) file to DB2 ?

Using Withdata software File To DB, a JSON Lines to DB2 converter for Windows, MacOS, and Linux, you can convert data from JSON Lines (JSONL / NDJSON / LDJSON) file to DB2 easily and fast.

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 data from JSON Lines (JSONL / NDJSON / LDJSON) file to DB2

Login to DB2 -> Choose JSON Lines file -> Set DB2 table -> Import JSON Lines to DB2

Choose DB2 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 DB2 table and config fields.

3. Preview data will be in DB2 table.

4. Import JSON Lines data to DB2.

View imported data in DB2 table

Convert JSON Lines (JSONL / NDJSON / LDJSON) to DB2 in command line

Save “JSON Lines to DB2” session, then you can:

Set scheduled tasks for converting JSON Lines (JSONL / NDJSON / LDJSON) to DB2

You can schedule and automate this “JSON Lines to DB2” conversion task by:

1) Save session and create .bat (Windows) or .sh (Linux/macOS) file.

2) Set scheduled task.

FAQ

How long does it take to import JSON Lines (JSONL / NDJSON / LDJSON) to DB2?
FileToDB works fast. It convert millions of rows within a minute.
Is it safe to import JSON Lines (JSONL / NDJSON / LDJSON) to DB2 using FileToDB?
Of course! FileToDB import JSON Lines (JSONL / NDJSON / LDJSON) to DB2 locally, absolutely safe.
Can I import JSON Lines (JSONL / NDJSON / LDJSON) to DB2 on Linux, Mac OS?
Yes, you can. FileToDB has Linux, Mac OS, and Windows version.
Can I import JSON Lines (JSONL / NDJSON / LDJSON) to DB2 in command line?
Yes, you can. FileToDB can running in command line, on Linux, Mac OS, and Windows.


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