Want to import multiple JSON files into a single DB2 table?
Try Withdata FileToDB, a desktop JSON to DB2 converter for Windows, MacOS, and Linux, 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.
Import multiple JSON files into a single DB2 table
Login to DB2 -> Choose JSON files -> Set DB2 table -> Import JSON files to DB2 table
Choose DB2 and logon.
Click “Wizard – N Files To 1 Table” at task dialog.
Select the “JSON” file type.
then show the wizard.
1. Select a folder that constains JSON files.
Support large ( > 4GB ) JSON file.
2. Config first JSON file importing options.
3. Select a DB2 table and config fields.
4. Preview data will be in DB2 table.
5. Import multiple JSON files to the DB2 table.
View imported data in DB2 table
Convert JSON files to DB2 in command line
Save “JSON to DB2” session, then you can:
- Import multiple JSON to a single DB2 table in Windows command line.
- Import multiple JSON to a single DB2 table in Linux command line.
- Import multiple JSON to a single DB2 table in macOS command line.
Set scheduled tasks for converting JSON files to DB2
You can schedule and automate this “JSON to DB2” conversion 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
Download Withdata FileToDB
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.
