Want to import multiple JSON files into a single MySQL table?
Try Withdata FileToDB, a desktop JSON to MySQL converter for Windows, MacOS, and Linux, Import JSON to MySQL, 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.
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
Import multiple JSON files into a single MySQL table
Login to MySQL -> Choose JSON files -> Set MySQL table -> Import JSON files to MySQL table
Choose MySQL and logon.
Click “Wizard – N Files To 1 Table” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Select a folder that constains JSON files.
Support large ( > 4GB ) JSON file.
2. Config first JSON file importing options.
3. Select a MySQL table and config fields.
4. Preview data will be in MySQL table.
5. Import multiple JSON files to the MySQL table.
View imported data in MySQL table
Convert JSON files to MySQL in command line
Save “JSON to MySQL” session, then you can:
- Import multiple JSON to a single MySQL table in Windows command line.
- Import multiple JSON to a single MySQL table in Linux command line.
- Import multiple JSON to a single MySQL table in macOS command line.
Set scheduled tasks for converting JSON files to MySQL
You can schedule and automate this “JSON to MySQL” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON to MySQL” conversion.
- Set scheduled task for “JSON to MySQL” conversion.
FAQ
More about Withdata FileToDB – JSON to MySQL converter
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
See also:
JSON → MySQL reference
Type mapping
| Value kind | in JSON | in MySQL |
|---|---|---|
| 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" (escaped newline inside a string) | 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 or array, kept as structure | JSON |
Dialect differences
JSON is a file format and MySQL 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 MySQL |
|---|---|---|
| port | — | 3306 |
| identifiers | Double quotes; backslash escapes | `backtick` |
| row limit | — | LIMIT n |
| dates | No date type: dates arrive as strings and the reader must p... | DATETIME, TIMESTAMP, DATE, TIME |
| long text | — | TINYTEXT / TEXT / MEDIUMTEXT / LONGTEXT |
| binary | Not supported natively - base64 inside a string | BLOB / TINYBLOB / LONGBLOB |
| 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 |
|---|---|
| MySQL | mysqldump, or mysql -e "SELECT ..." > out.csv |
| MySQL (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.