add kafka broker docs

docs/getting-started/backends-and-brokers/index.rst

@@ -20,6 +20,7 @@ Broker Instructions
     rabbitmq
     redis
     sqs
+    kafka
 
 .. _broker-overview:
 
@@ -41,6 +42,8 @@ individual transport (see :ref:`broker_toc`).
 +---------------+--------------+----------------+--------------------+
 | *Zookeeper*   | Experimental | No             | No                 |
 +---------------+--------------+----------------+--------------------+
+| *Kafka*       | Experimental | No             | No                 |
++---------------+--------------+----------------+--------------------+
 
 Experimental brokers may be functional but they don't have
 dedicated maintainers.

docs/getting-started/backends-and-brokers/kafka.rst

@@ -0,0 +1,82 @@
+.. _broker-kafka:
+
+=============
+ Using Kafka
+=============
+
+.. _broker-Kafka-installation:
+
+Configuration
+=============
+
+For celeryconfig.py:
+
+.. code-block:: python
+
+    import os
+
+    task_serializer = 'json'
+    broker_transport_options = {
+        # "allow_create_topics": True,
+    }
+    broker_connection_retry_on_startup = True
+
+    # For using SQLAlchemy as the backend
+    # result_backend = 'db+postgresql://postgres:example@localhost/postgres'
+
+    broker_transport_options.update({
+        "security_protocol": "SASL_SSL",
+        "sasl_mechanism": "SCRAM-SHA-512",
+    })
+    sasl_username = os.environ["SASL_USERNAME"]
+    sasl_password = os.environ["SASL_PASSWORD"]
+    broker_url = f"confluentkafka://{sasl_username}:{sasl_password}@broker:9094"
+    kafka_admin_config = {
+        "sasl.username": sasl_username,
+        "sasl.password": sasl_password,
+    }
+    kafka_common_config = {
+        "sasl.username": sasl_username,
+        "sasl.password": sasl_password,
+        "security.protocol": "SASL_SSL",
+        "sasl.mechanism": "SCRAM-SHA-512",
+        "bootstrap_servers": "broker:9094",
+    }
+
+Please note that "allow_create_topics" is needed if the topic does not exist
+yet but is not necessary otherwise.
+
+For tasks.py:
+
+.. code-block:: python
+
+    from celery import Celery
+
+    app = Celery('tasks')
+    app.config_from_object('celeryconfig')
+
+
+    @app.task
+    def add(x, y):
+        return x + y
+
+Auth
+====
+
+See above. The SASL username and password are passed in as environment variables.
+
+Further Info
+============
+
+Celery queues get routed to Kafka topics. For example, if a queue is named "add_queue",
+then a topic named "add_queue" will be created/used in Kafka.
+
+For canvas, when using a backend that supports it, the typical mechanisms like
+chain, group, and chord seem to work.
+
+
+Limitations
+===========
+
+Currently, using Kafka as a broker means that only one worker can be used.
+See https://github.com/celery/kombu/issues/1785.