Want to bulk import JSON files into DB2 tables at one time?
Try Withdata FileToDB, a desktop JSON to DB2 converter for Windows, MacOS, and Linux, Batch import JSON 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.
- Support Windows, Linux, and macOS.
Bulk import JSON files into DB2 tables
Login to DB2 -> Choose JSON files -> Set DB2 tables -> Import JSON files to DB2 tables
Choose DB2 and logon.

Click “Wizard – N Files To N Tables” at task dialog.

Select the “JSON” file type.

then show the wizard.
1. Select a folder that constains JSON files.

2. Config first JSON file importing options.

3. Set “Import Type”.

4. Map DB2 tables to JSON files.

5. Summary. Set “Convert Rows” and “Skip Rows” if need.

6. Import JSON files to DB2 tables, 1 file to 1 table, one by one.

View imported data in DB2 table

Bulk import JSON files into DB2 tables in command line
Save “bulk JSON files to DB2 tables” session, then you can:
- Bulk import JSON files into DB2 tables in Windows command line.
- Bulk import JSON files into DB2 tables in Linux command line.
- Bulk import JSON files into DB2 tables in macOS command line.
Set scheduled tasks for bulk importing JSON files into DB2 tables
You can schedule and automate this converting task by:
- Save session and create .bat (Windows) or .sh (Linux/macOS) file for “JSON to DB2” conversion.
- Set scheduled task for “JSON to DB2” conversion.
FAQ
More about Withdata FileToDB – JSON to DB2 converter
See Video: Batch import JSON to DB2
See also:
JSON → DB2 reference
Type mapping
| Value kind | in JSON | 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 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 | 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.
