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65 lines
3.8 KiB
Markdown
65 lines
3.8 KiB
Markdown
# DataHub GraphQL API
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### DataHub provides a rich [GraphQL](https://graphql.org/) API for programmatically interacting with the Entities & Relationships comprising your organization's Metadata Graph
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## Getting Started
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Check out [Getting Started](./getting-started.md) to start using the DataHub GraphQL API right away.
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## About GraphQL
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[GraphQL](https://graphql.org/) provides a data query language and API with the following characteristics:
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- A **validated specification**: The GraphQL spec verifies a *schema* on the API server. The server in turn is responsible
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for validating incoming queries from the clients against that schema.
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- **Strongly typed**: A GraphQL schema declares the universe of types and relationships composing the interface.
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- **Document-oriented & hierarchical**: GraphQL makes it eay to ask for related entities using a familiar JSON document
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structure. This minimizes the number of round-trip API requests a client must make to answer a particular question.
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- **Flexible & efficient**: GraphQL provides a way to ask for only the data you want, and that's it. Ignore all
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the rest. It allows you to replace multiple REST calls with one GraphQL call.
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- **Large Open Source Ecosystem**: Open source GraphQL projects have been developed for [virtually every programming language](https://graphql.org/code/). With a thriving
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community, it offers a sturdy foundation to build upon.
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For these reasons among others DataHub provides a GraphQL API on top of the Metadata Graph,
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permitting easy exploration of the Entities & Relationships composing it.
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For more information about the GraphQL specification, check out [Introduction to GraphQL](https://graphql.org/learn/).
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## GraphQL Schema Reference
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The Reference docs in the sidebar are generated from the DataHub GraphQL schema. Each call to the `/api/graphql` endpoint is
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validated against this schema. You can use these docs to understand data that is available for retrieval and operations
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that may be performed using the API.
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- Available Operations: [Queries](/graphql/queries.md) (Reads) & [Mutations](/graphql/mutations.md) (Writes)
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- Schema Types: [Objects](/graphql/objects.md), [Input Objects](/graphql/inputObjects.md), [Interfaces](/graphql/interfaces.md), [Unions](/graphql/unions.md), [Enums](/graphql/enums.md), [Scalars](/graphql/scalars.md)
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## On the Horizon
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The GraphQL API undergoing continuous development. A few of the things we're most excited about can be found below.
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### Supporting Additional Use Cases
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DataHub plans to support the following use cases via the GraphQL API:
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- **Creating entities**: Programmatically creating Datasets, Dashboards, Charts, Data Flows (Pipelines), Data Jobs (Tasks) and more.
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- **Listing entities**: Listing all Metadata Entities of a particular type.
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- **Removing entities**: The ability to soft & hard delete Metadata Entities on DataHub.
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This will enable organization's to build flows on top of DataHub for creating custom Metadata Entities,
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extracting batch data from DataHub, and curating the Entities that are visible on the platform.
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### Client SDKs
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DataHub plans to develop Open Source Client SDKs for Python, Java, Javascript among others on top of this API. If you're interested
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in contributing, [join us on Slack](https://datahubspace.slack.com/join/shared_invite/zt-nx7i0dj7-I3IJYC551vpnvvjIaNRRGw#/shared-invite/email)!
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### Token Based Authentication
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Add universal token based authentication and get rid of the legacy `PLAY_SESSION` session cookie and `X-DataHub-Actor` used
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for conveying actor identity information.
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## Feedback, Feature Requests, & Support
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Visit our [Slack channel](https://datahubspace.slack.com/join/shared_invite/zt-nx7i0dj7-I3IJYC551vpnvvjIaNRRGw#/shared-invite/email) to ask questions, tell us what we can do better, & make requests for what you'd like to see in the future. Or just
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stop by to say 'Hi'. |