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Export multiple similar MySQL tables to one JSON file

Want to export data from multiple similar MySQL tables to one JSON file?

Try Withdata DBToFile, a MySQL to JSON converter for Windows, Linux, and macOS, Export MySQL data to JSON, Easy and Fast.

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Linux .deb (For Debian, Ubuntu) 64 bit
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MacOS 64 bit

Export multiple similar MySQL tables to a single JSON file

Login to MySQL -> Select MySQL tables -> Set JSON file options -> Export MySQL to JSON

Choose MySQL and logon.

Click “Export Similar Tables” at task dialog.

Select JSON file type.

1. Select similar MySQL tables.

2. Set JSON file options.

3. Set rows options.

4. Export multiple similar MySQL tables to a single JSON file.

After exporting, you can view output JSON file.


More about MySQL to JSON converter

See also:

MySQL → JSON reference

Type mapping

Value kindin MySQLin JSON
IntINT1234 (number)
BigintBIGINT9007199254740993
DecimalDECIMAL(p,s)1234.56 (number)
FloatDOUBLE1.234e10 (number)
TextVARCHAR(n)"text" (string)
Long textLONGTEXT"multi-line\ntext" (escaped newline inside a string)
DateDATE"2026-09-18" (string)
DatetimeDATETIME"2026-09-18T14:30:00Z" (string)
BinaryLONGBLOB"base64:..." (string)
BooleanTINYINT(1)true / false (boolean)
JSONJSONnested object or array, kept as structure

Dialect differences

MySQL is a database server and JSON is a file format, so the gap is wider than a dialect difference - the rows below are where values and structure stop lining up.

Propertyin MySQLin JSON
port3306—
identifiers`backtick`Double quotes; backslash escapes
row limitLIMIT n—
datesDATETIME, TIMESTAMP, DATE, TIMENo date type: dates arrive as strings and the reader must p...
long textTINYTEXT / TEXT / MEDIUMTEXT / LONGTEXT—
binaryBLOB / TINYBLOB / LONGBLOBNot supported natively - base64 inside a string
separator—Braces and commas
encoding—UTF-8 by definition
typing—string, number, boolean, null, object, array - no date type
shapeTables of rows and columnsNested objects and arrays
ceiling—Whole document is usually parsed into memory

Command line

SideCommand
MySQLmysqldump, or mysql -e "SELECT ..." > out.csv
MySQL (load)mysqlimport, or LOAD DATA INFILE

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