Want to convert SQL to JSON array?
Try Withdata Data File Converter, a desktop SQL to JSON converter for Windows, MacOS, and Linux, Convert SQL to JSON array, 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 files locally and privately, avoid uploading JSON file(s) to online services.
Convert SQL to JSON array
Choose SQL file -> Set target JSON array file -> Convert SQL to JSON array
Click “Start a New Convert” at task dialog.
then show the wizard.
Select source/target file type.
1. Open a SQL file.
The SQL file content:
2. Config target JSON array file.
3. Set rows options.
4. Convert SQL to JSON array.
See JSON array file
Convert SQL to JSON array in command line
Save “SQL to JSON array” session, then you can:
- Convert SQL to JSON array in Windows command line.
- Convert SQL to JSON array in Linux command line.
- Convert SQL to JSON array in macOS command line.
Set scheduled tasks for converting SQL to JSON array
You can schedule and automate this converting task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “SQL to JSON array” conversion.
- Set scheduled task for “SQL to JSON array” conversion.
FAQ
More about Withdata DataFileConverter – SQL to JSON array Converter
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SQL → JSON Array reference
Type mapping
| Value kind | in SQL | in JSON Array |
|---|---|---|
| Int | INT | 1234 (number) |
| Bigint | BIGINT | 9007199254740993 |
| Decimal | DECIMAL(p,s) | 1234.56 (number) |
| Float | DOUBLE PRECISION | 1.234e10 (number) |
| Text | VARCHAR(n) | "text" (string) |
| Long text | TEXT / CLOB | "multi-line\ntext" (escaped newline inside a string) |
| Date | DATE | "2026-09-18" (string) |
| Datetime | TIMESTAMP | "2026-09-18T14:30:00Z" (string) |
| Binary | BLOB / BYTEA | "base64:..." (string) |
| Boolean | BOOLEAN / SMALLINT | true / false (boolean) |
| JSON | JSON / TEXT | nested object or array, kept as structure |
Dialect differences
Both SQL and JSON Array are file formats, so what differs below is how each one chooses to represent a value.
| Property | in SQL | in JSON Array |
|---|---|---|
| identifiers | Two competing conventions: single-quoted literals and diale... | Double quotes; backslash escapes |
| dates | Depends on the dialect: DATE literals, TO_DATE(), or plain ... | No date type: dates arrive as strings and the reader must p... |
| binary | Dialect-specific: X-quoted literal, 0x hex, or decode() | Not supported natively - base64 inside a string |
| separator | Statement terminators (;) | Braces and commas |
| encoding | No declaration | UTF-8 by definition |
| typing | Types belong to the target database, and they differ betwee... | string, number, boolean, null, object, array - no date type |
| shape | Statements; a dump usually means CREATE TABLE plus INSERT rows | Nested objects and arrays |
| ceiling | No formal limit, but a single INSERT statement has to fit i... | Whole document is usually parsed into memory |
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.
