Want to sync data from DBF to SQLite ?
Try Withdata DBCopier, a DBF to SQLite converter for Windows, Mac, and Linux, Synchronize DBF to SQLite, 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.
Synchronize data from DBF to SQLite
Login to DBF and target SQLite -> Select source DBF tables -> Set target SQLite tables -> Sync DBF data to SQLite
Choose source DBF database and logon.
Choose target SQLite database and logon.
Click “Wizard – Import All Tables” at task dialog.
then show the wizard.
1. Select source DBF tables to sync.
2. List target SQLite tables.
Set “Import Type” to “Replace”, it will do a full synchronization.
Or set “Import Type” to “Upsert”, it will do a upsert synchronization.
3. Select SQLite tables to sync.
4. Sync DBF data to SQLite.
More about DBF to SQLite converter
Download Withdata DBCopier
See also:
DBF → SQLite reference
Type mapping
| Value kind | in DBF | in SQLite |
|---|---|---|
| Int | Numeric(10,0) | INTEGER |
| Bigint | Numeric(19,0) | INTEGER |
| Decimal | Numeric(p,s) | NUMERIC |
| Float | Float | REAL |
| Text | Character(n) | TEXT |
| Long text | Memo | TEXT |
| Date | Date | TEXT |
| Datetime | (none) | TEXT |
| Binary | (none) | BLOB |
| Boolean | Logical | INTEGER |
Dialect differences
Both DBF and SQLite are database servers, so the differences below are dialect-level: the same concept is spelled differently on each side.
| Property | in DBF | in SQLite |
|---|---|---|
| identifiers | — | "double quotes" or [brackets] |
| row limit | (driver dependent) | LIMIT n |
| dates | Date (D) | TEXT (no date type) |
| long text | Memo (M) | TEXT |
| binary | — | BLOB |
Command line
| Side | Command |
|---|---|
| SQLite | sqlite3 .dump |
| SQLite (load) | .import (sqlite3) |
No counterpart
- SQLite has no equivalent for Date and time – it has to be flattened or dropped.
- SQLite has no equivalent for Binary – it has to be flattened or dropped.
- SQLite has no equivalent for JSON – it has to be flattened or dropped.
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