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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

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.

Rate Limiting & Performance Considerations

N/A

Getting started

Requirements

None!

Setup guide

N/A

Changelog

Version Date Pull Request Subject
0.2.0 2022-10-14 18021 Move to mimesis for speed!
0.1.8 2022-10-12 17889 Bump to test publish command (2)
0.1.7 2022-10-11 17848 Bump to test publish command
0.1.6 2022-09-07 16418 Log start of each stream
0.1.5 2022-06-10 13695 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