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Low-code connector development

Airbytes low-code framework enables you to build source connectors for REST APIs by modifying boilerplate YAML files.

:::warning The low-code framework is in alpha, which means its still in active development and may include backward-incompatible changes. Share feedback and requests with us on our Slack channel or email us at feedback@airbyte.io :::

What connectors can I build using the low-code framework?

Refer to the REST API documentation for the source you want to build the connector for and answer the following questions:

  • Does the REST API documentation show which HTTP method to use to retrieve data, and that the response is a JSON object?

  • Do the queries return data synchronously?

  • Does the API support any of the following pagination mechanisms:

    • Offset count passed either by query params or request header
    • Page count passed either by query params or request header
    • Cursor field pointing to the URL of the next page of records
  • Does the API support any of the following authentication mechanisms:

  • Does the API support static schema?

  • Does the endpoint have a strict rate limit? Throttling is not supported, but the connector can use exponential backoff to avoid API bans in case it gets rate limited. This can work for APIs with high rate limits, but not for those that have strict limits on a small time-window.

  • Are the following features sufficient:

    | Feature | Support | |--------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------| | Resource type | Collections
    Sub-collection | | Sync mode | Full refresh
    Incremental | | Schema discovery | Static schemas | | Stream slicing | Datetime, lists, parent-resource id | | Record transformation | Field selection
    Adding fields
    Removing fields
    Filtering records | | Error detection | From HTTP status code
    From error message | | Backoff strategies | Exponential
    Constant
    Derived from headers |

If the answer to all questions is yes, you can use the low-code framework to build a connector for the source. If not, use the Python CDK.

Prerequisites

  • An API key for the source you want to build a connector for
  • Python >= 3.9
  • Docker
  • NodeJS

Overview of the process

To use the low-code framework to build an REST API Source connector:

  1. Generate the API key for the source you want to build a connector for
  2. Set up the project on your local machine
  3. Set up your local development environment
  4. Update the connector spec and configuration
  5. Update the connector definition
  6. Test the connector
  7. Add the connector to the Airbyte platform

For a step-by-step tutorial, refer to the Getting Started tutorial or the video tutorial

Configuring the YAML file

The low-code framework involves editing a boilerplate YAML file. The general structure of the YAML file is as follows:

version: "0.1.0"
definitions:
 <key-value pairs defining objects which will be reused in the YAML connector>
streams:
 <list stream definitions>
check:
 <definition of connection checker>

The following table describes the components of the YAML file:

Component Description
version Indicates the framework version
definitions Describes the objects to be reused in the YAML connector
streams Lists the streams of the source
check Describes how to test the connection to the source by trying to read a record from a specified list of streams and failing if no records could be read

:::tip Streams define the schema of the data to sync, as well as how to read it from the underlying API source. A stream generally corresponds to a resource within the API. They are analogous to tables for a relational database source. :::

For each stream, configure the following components:

Component Sub-component Description
Name Name of the stream
Primary key (Optional) Used to uniquely identify records, enabling deduplication. Can be a string for single primary keys, a list of strings for composite primary keys, or a list of list of strings for composite primary keys consisting of nested fields
Schema Describes the data to sync
Data retriever Describes how to retrieve data from the API
Requester Describes how to prepare HTTP requests to send to the source API and defines the base URL and path, the request options provider, the HTTP method, authenticator, error handler components
Pagination Describes how to navigate through the API's pages
Record Selector Describes how to extract records from a HTTP response
Stream Slicer Describes how to partition the stream, enabling incremental syncs and checkpointing
Cursor field Field to use as stream cursor. Can either be a string, or a list of strings if the cursor is a nested field.
Transformations A set of transformations to be applied on the records read from the source before emitting them to the destination
Checkpoint interval Defines the interval, in number of records, at which incremental syncs should be checkpointed

For a deep dive into each of the components, refer to Understanding the YAML file or the full YAML Schema definition

Tutorial

This section a tutorial that will guide you through the end-to-end process of implementing a low-code connector.

  1. Getting started
  2. Creating a source
  3. Installing dependencies
  4. Connecting to the API
  5. Reading data
  6. Incremental reads
  7. Testing

Sample connectors

For examples of production-ready config-based connectors, refer to: