Want to bulk import JSON files into MySQL tables at one time?
Try Withdata FileToDB, a desktop JSON to MySQL converter for Windows, MacOS, and Linux, Batch 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
Bulk import JSON files into MySQL tables
Login to MySQL -> Choose JSON files -> Set MySQL tables -> Import JSON files to MySQL tables
Choose MySQL and logon.
Click “Wizard – N Files To N Tables” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Select a folder that constains JSON files.
2. Config first JSON file importing options.
3. Set “Import Type”.
4. Map MySQL tables to JSON files.
5. Summary. Set “Convert Rows” and “Skip Rows” if need.
6. Import JSON files to MySQL tables, 1 file to 1 table, one by one.
View imported data in MySQL table
Bulk import JSON files into MySQL tables in command line
Save “bulk JSON files to MySQL tables” session, then you can:
- Bulk import JSON files into MySQL tables in Windows command line.
- Bulk import JSON files into MySQL tables in Linux command line.
- Bulk import JSON files into MySQL tables in macOS command line.
Set scheduled tasks for bulk importing JSON files into MySQL tables
You can schedule and automate this converting 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.