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Faker

Sync overview

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.

Output schema

Only Users is supported.

Data type mapping

Native Airbyte types (string, number, date, etc)

Features

FeatureSupported?(Yes/No)Notes
Full Refresh SyncYes
Incremental SyncYes
NamespacesNo

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.

Rate Limiting & Performance Considerations

N/A

Getting started

Requirements

None!

Setup guide

N/A

Changelog

VersionDatePull RequestSubject
0.1.02022-04-1211738The Faker Source is created