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Links and Collections in Columnar

In Capella DataStudio, the management of links and collections for Columnar instances provides a unified interface for accessing data from various sources. This section explains the concepts and processes involved in working with links and collections.

In Columnar, collections are part of a scope, but they differ from provisioned instances in how data is stored and accessed:

  • Standalone Collections: Data is located within the cluster itself.
  • External Collections: Data is stored outside the cluster, accessed through links.

External data sources can include:

  • Amazon S3
  • Capella/Couchbase instances
  • MongoDB
  • MySQL
  • PostgreSQL

Links are global to the cluster and provide the connection to these external data sources.

Capella DataStudio supports the following link types:

  1. Local Link: Always available, used for standalone collections.
  2. Couchbase Link: Requires a Couchbase/Capella connection in DataStudio.
  3. Amazon S3 Link: Requires an S3 store configuration in DataStudio.
  4. Confluent Cloud Platform Link: Link details maintained on the Columnar instance.
  5. Amazon MSK Link: Link details maintained on the Columnar instance.
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To maintain a consistent UI flow and paradigm, standalone collections in DataStudio are created under "Local" Links, ensuring a uniform creation and management process across all collection types.

  1. Open the Links Manager in Capella DataStudio.
  2. Add the required links based on your data source needs.

Creating Collections

  1. In the Active Scope, create a link reference.
  2. Select the desired link from the dropdown, which displays available links from the Link Manager.
  3. Add collections to the selected link reference.
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The dialog for adding collections will vary based on the selected link type. Refer to subsequent sections for detailed information on each link type.

Next Steps

In the following sections, we'll dive deeper into the specifics of each link type and provide step-by-step guides for creating and managing collections across different data sources.