Tweak README docs to show use of consumer group (no longer default); clarify producer.flush
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README.rst
17
README.rst
@ -52,6 +52,12 @@ that expose basic message attributes: topic, partition, offset, key, and value:
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>>> for msg in consumer:
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... print (msg)
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>>> # join a consumer group for dynamic partition assignment and offset commits
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>>> from kafka import KafkaConsumer
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>>> consumer = KafkaConsumer('my_favorite_topic', group_id='my_favorite_group')
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>>> for msg in consumer:
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... print (msg)
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>>> # manually assign the partition list for the consumer
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>>> from kafka import TopicPartition
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>>> consumer = KafkaConsumer(bootstrap_servers='localhost:1234')
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@ -78,11 +84,14 @@ for more details.
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>>> for _ in range(100):
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... producer.send('foobar', b'some_message_bytes')
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>>> # Block until all pending messages are sent
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>>> producer.flush()
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>>> # Block until a single message is sent (or timeout)
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>>> producer.send('foobar', b'another_message').get(timeout=60)
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>>> future = producer.send('foobar', b'another_message')
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>>> result = future.get(timeout=60)
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>>> # Block until all pending messages are at least put on the network
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>>> # NOTE: This does not guarantee delivery or success! It is really
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>>> # only useful if you configure internal batching using linger_ms
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>>> producer.flush()
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>>> # Use a key for hashed-partitioning
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>>> producer.send('foobar', key=b'foo', value=b'bar')
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@ -51,6 +51,12 @@ that expose basic message attributes: topic, partition, offset, key, and value:
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>>> for msg in consumer:
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... print (msg)
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>>> # join a consumer group for dynamic partition assignment and offset commits
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>>> from kafka import KafkaConsumer
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>>> consumer = KafkaConsumer('my_favorite_topic', group_id='my_favorite_group')
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>>> for msg in consumer:
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... print (msg)
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>>> # manually assign the partition list for the consumer
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>>> from kafka import TopicPartition
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>>> consumer = KafkaConsumer(bootstrap_servers='localhost:1234')
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@ -76,11 +82,14 @@ client. See `KafkaProducer <apidoc/KafkaProducer.html>`_ for more details.
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>>> for _ in range(100):
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... producer.send('foobar', b'some_message_bytes')
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>>> # Block until all pending messages are sent
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>>> producer.flush()
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>>> # Block until a single message is sent (or timeout)
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>>> producer.send('foobar', b'another_message').get(timeout=60)
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>>> future = producer.send('foobar', b'another_message')
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>>> result = future.get(timeout=60)
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>>> # Block until all pending messages are at least put on the network
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>>> # NOTE: This does not guarantee delivery or success! It is really
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>>> # only useful if you configure internal batching using linger_ms
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>>> producer.flush()
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>>> # Use a key for hashed-partitioning
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>>> producer.send('foobar', key=b'foo', value=b'bar')
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