From 3244f9a298de66d7f083d24532e9cfc00b22c77d Mon Sep 17 00:00:00 2001 From: Dana Powers Date: Sun, 31 Aug 2014 10:49:50 -0700 Subject: [PATCH] Update README code examples to import from kafka not kafka.client, kafka.consumer, etc --- README.md | 21 +++++++++------------ 1 file changed, 9 insertions(+), 12 deletions(-) diff --git a/README.md b/README.md index da6605f5f..1b5a3093d 100644 --- a/README.md +++ b/README.md @@ -37,13 +37,10 @@ Python versions ## High level ```python -from kafka.client import KafkaClient -from kafka.consumer import SimpleConsumer -from kafka.producer import SimpleProducer, KeyedProducer - -kafka = KafkaClient("localhost:9092") +from kafka import KafkaClient, SimpleProducer, SimpleConsumer # To send messages synchronously +kafka = KafkaClient("localhost:9092") producer = SimpleProducer(kafka) # Note that the application is responsible for encoding messages to type str @@ -97,9 +94,7 @@ kafka.close() ## Keyed messages ```python -from kafka.client import KafkaClient -from kafka.producer import KeyedProducer -from kafka.partitioner import HashedPartitioner, RoundRobinPartitioner +from kafka import KafkaClient, KeyedProducer, HashedPartitioner, RoundRobinPartitioner kafka = KafkaClient("localhost:9092") @@ -113,8 +108,7 @@ producer = KeyedProducer(kafka, partitioner=RoundRobinPartitioner) ## Multiprocess consumer ```python -from kafka.client import KafkaClient -from kafka.consumer import MultiProcessConsumer +from kafka import KafkaClient, MultiProcessConsumer kafka = KafkaClient("localhost:9092") @@ -135,10 +129,13 @@ for message in consumer.get_messages(count=5, block=True, timeout=4): ## Low level ```python -from kafka.client import KafkaClient +from kafka import KafkaClient +from kafka.protocol import KafkaProtocol, ProduceRequest + kafka = KafkaClient("localhost:9092") + req = ProduceRequest(topic="my-topic", partition=1, - messages=[KafkaProdocol.encode_message("some message")]) + messages=[KafkaProtocol.encode_message("some message")]) resps = kafka.send_produce_request(payloads=[req], fail_on_error=True) kafka.close()