Want to batch copy data from DBF tables to Redshift?
Try Withdata DBCopier, a DBF to Redshift converter for Windows, Mac, and Linux, Bulk copy DBF to Redshift, 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.
- Support Windows, Linux, and macOS.
Batch copy data from DBF tables to Redshift tables
Login to DBF and Redshift -> Select source DBF tables -> Set target Redshift tables -> Copy DBF data to Redshift
Choose source DBF database and logon.
Choose target Redshift database and logon.
Click “Convert All Tables” at task dialog.
then show the wizard.
1. Select source DBF tables.
2. List target Redshift tables.
3. Select Redshift tables to import.
4. Transfer data from DBF tables to Redshift.
More about DBF to Redshift converter
Download Withdata DBCopier
See also:
- Copy DBF table data to Redshift
- Copy DBF query results to Redshift table
- Merge multiple similar DBF tables to 1 Redshift table
DBF → Redshift reference
Type mapping
| Value kind | in DBF | in Redshift |
|---|---|---|
| Int | Numeric(10,0) | integer |
| Bigint | Numeric(19,0) | bigint |
| Decimal | Numeric(p,s) | numeric(p,s) |
| Float | Float | double precision |
| Text | Character(n) | varchar(n) |
| Long text | Memo | varchar(max) |
| Date | Date | date |
| Datetime | (none) | timestamp |
| Boolean | Logical | boolean |
| JSON | (none) | super |
Dialect differences
Both DBF and Redshift are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in DBF | in Redshift |
|---|---|---|
| port | (file-based) | 5439 |
| identifiers | — | "double quotes" |
| row limit | (driver dependent) | LIMIT n |
| dates | Date (D) | timestamp, date |
| long text | Memo (M) | VARCHAR(MAX) |
Command line
| Side | Command |
|---|---|
| Redshift | UNLOAD to S3 |
| Redshift (load) | COPY from S3 |
No counterpart
- Redshift has no equivalent for Date and time – it has to be flattened or dropped.
- Redshift has no equivalent for JSON – it has to be flattened or dropped.
Convert your data online, free
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