The Faker source generates sample data using the python faker package. Specifically, we generate data that looks like an e-commerce company's users table with the faker.profile() method.
Only Users is supported.
Native Airbyte types (string, number, date, etc)
| Feature | Supported?(Yes/No) | Notes |
|---|---|---|
| Full Refresh Sync | Yes | |
| Incremental Sync | Yes | |
| Namespaces | No |
Of note, if you choose Incremental Sync, state will be maintained between syncs, and once you hit count records, no new records will be added.
You can choose a specific seed (integer) as an option for this connector which will guarantee that the same fake records are generated each time. Otherwise, random data will be created on each subsequent sync.
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None!
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| Version | Date | Pull Request | Subject |
|---|---|---|---|
| 0.1.5 | 2022-06-10 | xxx | Emit timestamps in the proper ISO format |
| 0.1.4 | 2022-05-27 | 13298 | Test publication flow |
| 0.1.3 | 2022-05-27 | 13248 | Add options for records_per_sync and page_size |
| 0.1.2 | 2022-05-26 | 13248 | Test publication flow |
| 0.1.1 | 2022-05-26 | 13235 | Publish for AMD and ARM (M1 Macs) & remove User.birthdate |
| 0.1.0 | 2022-04-12 | 11738 | The Faker Source is created |