Kafka

Batch process all your records to store structured outputs in Kafka.

You will need:

The Kafka prerequisites:

• A Kafka cluster, such as ones provided by Confluent Cloud, Amazon Managed Streaming for Apache Kafka (Amazon MSK), or Google Cloud Managed Service for Apache Kafka.
• The hostname of the bootstrap Kafka cluster to connect to.
• The port number of the cluster.
• The name of the topic to read messages from and write messages to on the cluster.
• If you use Kafka API keys and secrets for authentication, the key and secret values.

The Kafka connector dependencies:

pip install "unstructured-ingest[kafka]"

You might also need to install additional dependencies, depending on your needs. Learn more.

The following environment variables:

• KAFKA_BOOTSTRAP_SERVER - The hostname of the bootstrap Kafka cluster to connect to, represented by --bootstrap-server (CLI) or bootstrap_server (Python).
• KAFKA_PORT - The port number of the cluster, represented by --port (CLI) or port (Python).
• KAFKA_TOPIC - The unique name of the topic to read messages from and write messages to on the cluster, represented by --topic (CLI) or topic (Python).

If you use Kafka API keys and secrets for authentication:

• KAFKA_API_KEY - The Kafka API key value, represented by --kafka-api-key (CLI) or kafka_api_key (Python).
• KAFKA_SECRET - The secret value for the Kafka API key, represented by --secret (CLI) or secret (Python).

Additional settings include:

• --confluent (CLI) or confluent (Python): True to indicate that the cluster is running Confluent Kafka.
• --num-messages-to-consume (CLI) or num_messages_to_consume (Python): The maximum number of messages to get from the topic. The default is 1.
• --timeout (CLI) or timeout (Python): The maximum amount of time to wait for the response of a request to the topic, expressed in seconds. The default is 1.0.

These environment variables:

• UNSTRUCTURED_API_KEY - Your Unstructured API key value.
• UNSTRUCTURED_API_URL - Your Unstructured API URL.

Now call the Unstructured CLI or Python SDK. The source connector can be any of the ones supported. This example uses the local source connector: