DataStax Astra Streaming You can use the DataStax Astra Streaming Connector to get data from or send data to an Astra stream. This topic covers how to configure the DataStax Astra Streaming Connector to send data from Decodable into DataStax Astra. If you are looking for information about how to get data from DataStax Astra into Decodable, see Datastax Astra in the Connect to a data source chapter. Overview Connector name astra-streaming Type source, sink Delivery guarantee at least once Compatibility Pulsar 2.9.x or above Create a connection to an Astra stream with the DataStax Astra Streaming Connector Follow these steps to create a connection that sends data from Decodable to DataStax Astra. From the Connections page, select the DataStax Astra Streaming Connector and complete the following fields. UI Field Property Name in the Decodable CLI Description Connection Type N/A Select sink to use this connector to send data into DataStax Astra. Broker Service URL service-url The URL to connect to your Astra Streaming broker. For example, pulsar+ssl://broker.example.com:6651. Admin Web Service URL admin-url The URL to connect to your Astra Streaming admin endpoint. For example, <https://broker.example.com>. Topic topic The fully-qualified name of the Astra topic. For example, persistent://stream/namespace/topic-name. Authentication Token token The JWT web token to use for authentication. Partition Key Columns key.fields A list of fields, delimited by semicolons, that comprise the partition key. For example: field1;field2. Partition Key Format key.format Optional. The format used to serialize and deserialize the partition key. Must be one of the following: - JSON - Avro - Raw Value Format format The format for data in the Astra topic. Must be one of the following: - JSON - AVRO - Raw Partition Key Inclusion Policy value.fields-include Specify whether the partition key columns should be present in the payload values sent to Astra. For an example of how the key.fields, key.format, and value.fields-include arguments work together, see the examples in the Key and Value Formats section in the Apache Flink documentation. Select the stream that you’d like to connect to this connector. Then, select Next. Define the connection’s schema. Decodable can auto-populate the connection’s schema using Pulsar’s schema registry. In most cases, you’ll want to select Schema Registry to automatically populate the connection’s schema. However, if you would like to manually enter the schema, select New Schema or Structured Schema Definition. If you want to auto-populate the connection schema using Pulsar’s schema registry, you’ll also need to provide the name of your Pulsar tenant, the namespace where your topic is, and the version of the schema that you’d like to use. Select Next when you are finished providing defining the connection’s schema. Give the newly created connection a Name and Description and select Save.