Want to import data from JSON Lines (JSONL / NDJSON / LDJSON) file to Percona?
Try Withdata FileToDB, a desktop JSONL to Percona converter for Windows, MacOS, and Linux, Import JSON Lines to Percona, 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 Percona
Login to Percona -> Choose JSON Lines file -> Set Percona table -> Import JSON Lines to Percona
Choose Percona 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 Percona table and config fields.
3. Preview data will be in Percona table.
4. Import JSON Lines data to Percona.
View imported data in Percona table
Convert JSON Lines (JSONL / NDJSON / LDJSON) to Percona in command line
Save “JSON Lines to Percona” session, then you can:
- Import JSON Lines (JSONL / NDJSON / LDJSON) to Percona in Windows command line.
- Import JSON Lines (JSONL / NDJSON / LDJSON) to Percona in Linux command line.
- Import JSON Lines (JSONL / NDJSON / LDJSON) to Percona in macOS command line.
Set scheduled tasks for converting JSON Lines (JSONL / NDJSON / LDJSON) to Percona
You can schedule and automate this “JSON Lines to Percona” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON Lines to Percona” conversion.
- Set scheduled task for “JSON Lines to Percona” conversion.
FAQ
More tools for JSONL / NDJSON / LDJSON.
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 → Percona reference
Type mapping
| Value kind | in JSON Lines | in Percona |
|---|---|---|
| Int | 1234 (number) | INT |
| Bigint | 9007199254740993 | BIGINT |
| Decimal | 1234.56 (number) | DECIMAL(p,s) |
| Float | 1.234e10 (number) | DOUBLE |
| Text | "text" (string) | VARCHAR(n) |
| Long text | "multi-line\ntext" | LONGTEXT |
| Date | "2026-09-18" (string) | DATE |
| Datetime | "2026-09-18T14:30:00Z" (string) | DATETIME |
| Binary | "base64:..." (string) | LONGBLOB |
| Boolean | true / false (boolean) | TINYINT(1) |
| JSON | nested object on the same line | JSON |
Dialect differences
JSON Lines is a file format and Percona 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 Lines | in Percona |
|---|---|---|
| port | — | 3306 |
| identifiers | Double quotes; backslash escapes (a newline inside a string... | `backtick` |
| row limit | — | LIMIT n |
| dates | No date type: dates arrive as strings | DATETIME, TIMESTAMP, DATE, TIME |
| long text | — | TINYTEXT / TEXT / MEDIUMTEXT / LONGTEXT |
| binary | Not supported natively - base64 inside a string | BLOB / TINYBLOB / LONGBLOB |
| separator | Newline between records | — |
| encoding | UTF-8 by definition | — |
| typing | Same as JSON, but records cannot nest across lines | — |
| shape | Flat stream | Tables of rows and columns |
| ceiling | Streams, so it scales past what a single JSON document can ... | — |
Command line
| Side | Command |
|---|---|
| Percona | mysqldump |
| Percona (load) | mysqlimport, or LOAD DATA INFILE |
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.