Want to import data from JSON array to DB2 ?
Try Withdata FileToDB, a desktop JSON array to DB2 converter for Windows, MacOS, and Linux, Import JSON array to DB2, 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.
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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 DB2
Login to DB2 -> Choose JSON array file -> Set DB2 table -> Import JSON array to DB2
Choose DB2 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 DB2 table and config fields.
3. Preview data will be in DB2 table.
4. Import JSON array data to DB2.
View imported data in DB2 table
Convert JSON array to DB2 in command line
Save “JSON array to DB2” session, then you can:
- Import JSON array to DB2 in Windows command line.
- Import JSON array to DB2 in Linux command line.
- Import JSON array to DB2 in macOS command line.
Set scheduled tasks for converting JSON array to DB2
You can schedule and automate this “JSON array to DB2” conversion task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON array to DB2” conversion.
- Set scheduled task for “JSON array to DB2” conversion.
FAQ
More about Withdata FileToDB – JSON Array to DB2 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 → DB2 reference
Type mapping
| Value kind | in JSON Array | in DB2 |
|---|---|---|
| Int | 1234 (number) | INTEGER |
| 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) | CLOB |
| Date | "2026-09-18" (string) | DATE |
| Datetime | "2026-09-18T14:30:00Z" (string) | TIMESTAMP |
| Binary | "base64:..." (string) | BLOB |
| Boolean | true / false (boolean) | SMALLINT |
| JSON | nested object or array, kept as structure | CLOB |
Dialect differences
JSON Array is a file format and DB2 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 DB2 |
|---|---|---|
| port | — | 50000 |
| identifiers | Double quotes; backslash escapes | "double quotes" |
| row limit | — | FETCH FIRST n ROWS |
| dates | No date type: dates arrive as strings and the reader must p... | DATE, TIME, TIMESTAMP |
| long text | — | CLOB |
| binary | Not supported natively - base64 inside a string | BLOB |
| 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 |
|---|---|
| DB2 | EXPORT TO out.csv OF DEL |
| DB2 (load) | db2 IMPORT FROM file OF DEL |
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.