Want to import data from JSON array to MySQL ?
Try Withdata FileToDB, a desktop JSON array to MySQL converter for Windows, MacOS, and Linux, Import JSON array 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.
Import data from JSON array to MySQL
Login to MySQL -> Choose JSON array file -> Set MySQL table -> Import JSON array to MySQL
Choose MySQL 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 array file.
Support large ( > 4GB ) JSON array file.
Here is the file’s content.
FileToDB will parse JSON array.
2. Select a MySQL table and config fields.
3. Preview data will be in MySQL table.
4. Import JSON array data to MySQL.
View imported data in MySQL table
Convert JSON array to MySQL in command line
Save “JSON array to MySQL” session, then you can:
- Import JSON array to MySQL in Windows command line.
- Import JSON array to MySQL in Linux command line.
- Import JSON array to MySQL in macOS command line.
Set scheduled tasks for converting JSON array to MySQL
You can schedule and automate this “JSON array to MySQL” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON array to MySQL” conversion.
- Set scheduled task for “JSON array to MySQL” conversion.
FAQ
More about Withdata FileToDB – JSON Array to MySQL converter
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JSON Array → MySQL reference
Type mapping
| Value kind | in JSON Array | 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 Array 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 Array | 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.
