Stream data from Microsoft Dataverse

Datastream supports replicating change events from a Microsoft Dataverse instance. Dataverse is a cloud-based data platform that lets you securely store and manage data used by business applications.

This page contains information about:

• The key terms that you need to understand when replicating from Dataverse.
• The behavior of how Datastream handles data that's being pulled from a source Dataverse environment.
• The versions of Dataverse that Datastream supports.
• Known limitations for using Dataverse as a source.

Key terms

Dataverse operates using the following concepts:

• A table, formerly an entity , is similar to a table in relational databases. Dataverse includes standard tables by default, but you can also create custom tables.
• A column, formerly a field , is an attribute of a table, and is similar to a column in relational databases.
• A rowis a specific record in a table, and is similar to a row in relational databases.

Behavior

The Dataverse source support in Datastream relies on the Dataverse Web API, which uses the Open Data Protocol (OData). Datastream polls for source changes based on the interval that you set.

When replicating data from a Dataverse source, the following behavior is observed:

• API interaction: Datastream interacts with the Dataverse Web API using RESTful requests. The base environment URL is https:// ORGANIZATION_ID .crm.dynamics.com/api/data/v9.1/ . Standard headers ( Accept: application/json , OData-MaxVersion: 4.0 , OData-Version: 4.0 ) are used.
• Authentication: Datastream handles authentication using OAuth 2.0 with the client credentials grant type. Datastream obtains tokens from the Microsoft Identity Platform.

• Schema discovery: Dataverse schemas are dynamic. Datastream discovers object names and schemas by querying the /EntityDefinitions endpoint.

  • Object names: Datastream fetches object names by sending a GET request to the /EntityDefinitions entity set path with the $filter=TableType ne 'Virtual' and IsPrivate eq false filter and the $select=EntitySetName parameter.
  • Object schema: Datastream fetches the object schema per-entity by sending a GET request to the /EntityDefinitions entity set path with the $expand=Attributes($select=LogicalName,AttributeType,AttributeTypeName) parameter and the $filter=EntitySetName eq '[objectName]' filter.

• Data replication:

  • Datastream replicates standard and custom Dataverse tables. It excludes virtual and private tables.
  • Historical backfill: if configured for a stream, Datastream replicates all historical data for included tables. This is achieved by sending an initial GET request to the entity set and iterating through all pages using the @odata.nextLink property provided in API responses. The Prefer: odata.maxpagesize=5000 header is used.
  • Incremental sync: Datastream replicates insert and update events. This is achieved by using timestamp-based synchronization, filtering records where the modifiedon field is greater than the last synchronization time ( $filter=modifiedon gt [last_sync_timestamp] ). Datastream doesn't capture delete events.

• Polling interval: Datastream polls for changes according to the polling interval that you set when you create your stream. The interval is reflected in the stream's data freshness metric.

All replicated objects support both incremental synchronization, using the modifiedon field, and complete backfill.

Versions

Datastream uses the Dataverse Web API version v9.1.

Known limitations

Known limitations for using Dataverse as a source include:

• The incremental synchronization method, based on the modifiedon timestamp, doesn't capture delete events.
• Datastream doesn't support the Dataverse recommended change tracking feature that uses delta links ( @odata.deltaLink ). This is because storing the delta link URL required for subsequent incremental pulls isn't supported.
• Replication is limited to standard and custom tables. Virtual and private tables aren't supported.
• Accurate updating of the modifiedon field in the source tables is critical to ensure incremental sync works as expected.
• To retrieve the labels for Picklist fields, data requests must include the Prefer: data.include-annotations="*" header, not just the integer values.

What's next

• Learn how to configure a Dataverse source for use with Datastream.