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