deb-python-kafka/kafka/NOTES.md

For 0.8, we have correlation id so we can potentially interleave requests/responses

There are a few levels of abstraction:

• Protocol support: encode/decode the requests/responses
• Socket support: send/recieve messages
• API support: higher level APIs such as: get_topic_metadata

Methods of producing

• Round robbin (each message to the next partition)
• All-to-one (each message to one partition)
• All-to-all? (each message to every partition)
• Partitioned (run each message through a partitioning function) ** HashPartitioned ** FunctionPartition

Possible API

client = KafkaClient("localhost:9092")

producer = KafkaProducer(client, "topic")
producer.send_string("hello")

consumer = KafkaConsumer(client, "group", "topic")
consumer.seek(10, 2) # seek to beginning (lowest offset)
consumer.commit() # commit it
for msg in consumer.iter_messages():
    print msg