Withdata Software

Convert JSON array to SQL file

Want to convert JSON array to SQL file?

Try Withdata Data File Converter, a desktop JSON to SQL converter for Windows, MacOS, and Linux, Convert JSON array to SQL, Easy and Fast.

Download DataFileConverter
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

Convert JSON array to SQL

Choose JSON array file -> Set SQL file -> Convert JSON array to SQL

“Start a New Convert” for “JSON array to SQL”.

Select From “File” “JSON” To “File” “SQL”.

1. Open source JSON array file.

Support large JSON array file (big than 4GB).

Source JSON array file’s content is like this:

2. Config target SQL file.

3. Set rows options.

4. Convert JSON array to SQL.

After converting, you can view the output SQL file.

Convert JSON array to SQL in command line

Save “JSON array to SQL” session, then you can:

Set scheduled tasks for converting JSON array to SQL

You can schedule and automate this “JSON array to SQL” conversion task by:

  1. Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON array to SQL” conversion.
  2. Set scheduled task for “JSON array to SQL” conversion.

FAQ

What is Withdata DataFileConverter?
Withdata DataFileConverter is a data file format converter, it can convert JSON array to SQL. Download Withdata DataFileConverter
How long does it take to convert JSON array to SQL?
DataFileConverter works fast. It convert millions of rows within a minute.
Is it safe to convert JSON array to SQL using DataFileConverter?
Of course! DataFileConverter convert JSON array to SQL privately, absolutely safe.
Can I convert JSON array to SQL on Linux, Mac OS?
Yes, you can. DataFileConverter has Linux, Mac OS, and Windows version.
Can I convert JSON array to SQL in command line?
Yes, you can. DataFileConverter can running in command line, on Linux, Mac OS, and Windows.

More about Withdata DataFileConverter – JSON array to SQL converter

JSON Array → SQL reference

Type mapping

Value kindin JSON Arrayin SQL
Int1234 (number)INT
Bigint9007199254740993BIGINT
Decimal1234.56 (number)DECIMAL(p,s)
Float1.234e10 (number)DOUBLE PRECISION
Text"text" (string)VARCHAR(n)
Long text"multi-line\ntext" (escaped newline inside a string)TEXT / CLOB
Date"2026-09-18" (string)DATE
Datetime"2026-09-18T14:30:00Z" (string)TIMESTAMP
Binary"base64:..." (string)BLOB / BYTEA
Booleantrue / false (boolean)BOOLEAN / SMALLINT
JSONnested object or array, kept as structureJSON / TEXT

Dialect differences

Both JSON Array and SQL are file formats, so what differs below is how each one chooses to represent a value.

Propertyin JSON Arrayin SQL
identifiersDouble quotes; backslash escapesTwo competing conventions: single-quoted literals and diale...
datesNo date type: dates arrive as strings and the reader must p...Depends on the dialect: DATE literals, TO_DATE(), or plain ...
binaryNot supported natively - base64 inside a stringDialect-specific: X-quoted literal, 0x hex, or decode()
separatorBraces and commasStatement terminators (;)
encodingUTF-8 by definitionNo declaration
typingstring, number, boolean, null, object, array - no date typeTypes belong to the target database, and they differ betwee...
shapeNested objects and arraysStatements; a dump usually means CREATE TABLE plus INSERT rows
ceilingWhole document is usually parsed into memoryNo formal limit, but a single INSERT statement has to fit i...

Data File Converter without the manual work

For batch jobs, large files and scheduling use the Data File Converter converter — an offline desktop app for Windows, Linux and macOS. Free trial.