Refactoring a bit, cleanup for 0.8
Marking some stuff as not compatible for 0.8 (will be added in 0.8.1)
This commit is contained in:
26
example.py
26
example.py
@@ -2,27 +2,21 @@ import logging
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from kafka.client import KafkaClient, FetchRequest, ProduceRequest
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from kafka.consumer import SimpleConsumer
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from kafka.producer import SimpleProducer
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def produce_example(kafka):
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message = kafka.create_message("testing")
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request = ProduceRequest("my-topic", -1, [message])
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kafka.send_message_set(request)
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def produce_example(client):
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producer = SimpleProducer(client, "my-topic")
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producer.send_message("test")
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def consume_example(kafka):
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request = FetchRequest("my-topic", 0, 0, 1024)
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(messages, nextRequest) = kafka.get_message_set(request)
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for message in messages:
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print("Got Message: %s" % (message,))
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print(nextRequest)
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def produce_gz_example(kafka):
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message = kafka.create_gzip_message("this message was gzipped", "along with this one")
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request = ProduceRequest("my-topic", 0, [message])
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kafka.send_message_set(request)
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def consume_example(client):
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consumer = SimpleConsumer(client, "test-group", "my-topic")
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for message in consumer:
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print(message)
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def main():
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client = KafkaClient("localhost", 9092)
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consumer = SimpleConsumer(client, "test-group", "my-topic")
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produce_example(client)
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consume_example(client)
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if __name__ == "__main__":
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logging.basicConfig(level=logging.DEBUG)
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Submodule kafka-src updated: 218e6a53c1...30f992c52d
277
kafka/client.py
277
kafka/client.py
@@ -28,30 +28,35 @@ class KafkaClient(object):
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self.brokers = {} # broker_id -> BrokerMetadata
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self.topics_to_brokers = {} # topic_id -> broker_id
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self.topic_partitions = defaultdict(list) # topic_id -> [0, 1, 2, ...]
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self.load_metadata_for_topics()
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self._load_metadata_for_topics()
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def close(self):
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for conn in self.conns.values():
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conn.close()
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##################
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# Private API #
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##################
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def get_conn_for_broker(self, broker):
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def _get_conn_for_broker(self, broker):
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"Get or create a connection to a broker"
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if (broker.host, broker.port) not in self.conns:
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self.conns[(broker.host, broker.port)] = KafkaConnection(broker.host, broker.port, self.bufsize)
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return self.conns[(broker.host, broker.port)]
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def next_id(self):
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"Generate a new correlation id"
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return KafkaClient.ID_GEN.next()
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def _get_leader_for_partition(self, topic, partition):
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key = TopicAndPartition(topic, partition)
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if key not in self.topics_to_brokers:
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self._load_metadata_for_topics(topic)
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if key not in self.topics_to_brokers:
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raise Exception("Partition does not exist: %s" % str(key))
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return self.topics_to_brokers[key]
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def load_metadata_for_topics(self, *topics):
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def _load_metadata_for_topics(self, *topics):
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"""
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Discover brokers and metadata for a set of topics. This method will
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recurse in the event of a retry.
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"""
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requestId = self.next_id()
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requestId = self._next_id()
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request = KafkaProtocol.encode_metadata_request(KafkaClient.CLIENT_ID, requestId, topics)
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response = self.try_send_request(requestId, request)
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response = self._send_broker_unaware_request(requestId, request)
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if response is None:
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raise Exception("All servers failed to process request")
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(brokers, topics) = KafkaProtocol.decode_metadata_response(response)
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@@ -64,18 +69,79 @@ class KafkaClient(object):
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if meta.leader == -1:
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log.info("Partition is unassigned, delay for 1s and retry")
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time.sleep(1)
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self.load_metadata_for_topics(topic)
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self._load_metadata_for_topics(topic)
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else:
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self.topics_to_brokers[TopicAndPartition(topic, partition)] = brokers[meta.leader]
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self.topic_partitions[topic].append(partition)
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def get_leader_for_partition(self, topic, partition):
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key = TopicAndPartition(topic, partition)
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if key not in self.topics_to_brokers:
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self.load_metadata_for_topics(topic)
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if key not in self.topics_to_brokers:
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raise Exception("Partition does not exist: %s" % str(key))
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return self.topics_to_brokers[key]
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def _next_id(self):
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"Generate a new correlation id"
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return KafkaClient.ID_GEN.next()
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def _send_broker_unaware_request(self, requestId, request):
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"""
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Attempt to send a broker-agnostic request to one of the available brokers.
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Keep trying until you succeed.
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"""
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for conn in self.conns.values():
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try:
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conn.send(requestId, request)
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response = conn.recv(requestId)
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return response
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except Exception, e:
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log.warning("Could not send request [%r] to server %s, trying next server: %s" % (request, conn, e))
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continue
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return None
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def _send_broker_aware_request(self, payloads, encoder_fn, decoder_fn):
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"""
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Group a list of request payloads by topic+partition and send them to the
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leader broker for that partition using the supplied encode/decode functions
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Params
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======
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payloads: list of object-like entities with a topic and partition attribute
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encode_fn: a method to encode the list of payloads to a request body, must accept
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client_id, correlation_id, and payloads as keyword arguments
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decode_fn: a method to decode a response body into response objects. The response
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objects must be object-like and have topic and partition attributes
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Return
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======
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List of response objects in the same order as the supplied payloads
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"""
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# Group the requests by topic+partition
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original_keys = []
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payloads_by_broker = defaultdict(list)
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for payload in payloads:
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payloads_by_broker[self._get_leader_for_partition(payload.topic, payload.partition)].append(payload)
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original_keys.append((payload.topic, payload.partition))
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# Accumulate the responses in a dictionary
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acc = {}
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# For each broker, send the list of request payloads
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for broker, payloads in payloads_by_broker.items():
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conn = self._get_conn_for_broker(broker)
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requestId = self._next_id()
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request = encoder_fn(client_id=KafkaClient.CLIENT_ID, correlation_id=requestId, payloads=payloads)
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# Send the request, recv the response
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conn.send(requestId, request)
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response = conn.recv(requestId)
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for response in decoder_fn(response):
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acc[(response.topic, response.partition)] = response
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# Order the accumulated responses by the original key order
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return (acc[k] for k in original_keys)
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#################
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# Public API #
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#################
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def close(self):
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for conn in self.conns.values():
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conn.close()
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def send_produce_request(self, payloads=[], fail_on_error=True, callback=None):
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"""
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@@ -95,37 +161,21 @@ class KafkaClient(object):
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======
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list of ProduceResponse or callback(ProduceResponse), in the order of input payloads
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"""
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# Group the produce requests by which broker they go to
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original_keys = []
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payloads_by_broker = defaultdict(list)
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for payload in payloads:
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payloads_by_broker[self.get_leader_for_partition(payload.topic, payload.partition)] += payloads
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original_keys.append((payload.topic, payload.partition))
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# Accumulate the responses in a dictionary
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acc = {}
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# For each broker, send the list of request payloads
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for broker, payloads in payloads_by_broker.items():
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conn = self.get_conn_for_broker(broker)
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requestId = self.next_id()
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request = KafkaProtocol.encode_produce_request(KafkaClient.CLIENT_ID, requestId, payloads)
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# Send the request
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conn.send(requestId, request)
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response = conn.recv(requestId)
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for produce_response in KafkaProtocol.decode_produce_response(response):
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# Check for errors
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if fail_on_error == True and produce_response.error != ErrorMapping.NO_ERROR:
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raise Exception("ProduceRequest for %s failed with errorcode=%d" %
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(TopicAndPartition(produce_response.topic, produce_response.partition), produce_response.error))
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# Run the callback
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if callback is not None:
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acc[(produce_response.topic, produce_response.partition)] = callback(produce_response)
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else:
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acc[(produce_response.topic, produce_response.partition)] = produce_response
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# Order the accumulated responses by the original key order
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return (acc[k] for k in original_keys)
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resps = self._send_broker_aware_request(payloads,
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KafkaProtocol.encode_produce_request,
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KafkaProtocol.decode_produce_response)
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out = []
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for resp in resps:
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# Check for errors
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if fail_on_error == True and resp.error != ErrorMapping.NO_ERROR:
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raise Exception("ProduceRequest for %s failed with errorcode=%d" %
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(TopicAndPartition(resp.topic, resp.partition), resp.error))
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# Run the callback
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if callback is not None:
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out.append(callback(resp))
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else:
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out.append(resp)
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return out
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def send_fetch_request(self, payloads=[], fail_on_error=True, callback=None):
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"""
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@@ -134,108 +184,63 @@ class KafkaClient(object):
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Payloads are grouped by topic and partition so they can be pipelined to the same
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brokers.
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"""
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# Group the produce requests by which broker they go to
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original_keys = []
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payloads_by_broker = defaultdict(list)
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for payload in payloads:
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payloads_by_broker[self.get_leader_for_partition(payload.topic, payload.partition)].append(payload)
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original_keys.append((payload.topic, payload.partition))
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resps = self._send_broker_aware_request(payloads,
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KafkaProtocol.encode_fetch_request,
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KafkaProtocol.decode_fetch_response)
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out = []
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for resp in resps:
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# Check for errors
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if fail_on_error == True and resp.error != ErrorMapping.NO_ERROR:
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raise Exception("FetchRequest for %s failed with errorcode=%d" %
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(TopicAndPartition(resp.topic, resp.partition), resp.error))
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# Run the callback
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if callback is not None:
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out.append(callback(resp))
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else:
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out.append(resp)
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return out
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# Accumulate the responses in a dictionary, keyed by topic+partition
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acc = {}
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# For each broker, send the list of request payloads
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for broker, payloads in payloads_by_broker.items():
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conn = self.get_conn_for_broker(broker)
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requestId = self.next_id()
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request = KafkaProtocol.encode_fetch_request(KafkaClient.CLIENT_ID, requestId, payloads)
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# Send the request
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conn.send(requestId, request)
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response = conn.recv(requestId)
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for fetch_response in KafkaProtocol.decode_fetch_response_iter(response):
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# Check for errors
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if fail_on_error == True and fetch_response.error != ErrorMapping.NO_ERROR:
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raise Exception("FetchRequest %s failed with errorcode=%d" %
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(TopicAndPartition(fetch_response.topic, fetch_response.partition), fetch_response.error))
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# Run the callback
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if callback is not None:
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acc[(fetch_response.topic, fetch_response.partition)] = callback(fetch_response)
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else:
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acc[(fetch_response.topic, fetch_response.partition)] = fetch_response
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# Order the accumulated responses by the original key order
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return (acc[k] for k in original_keys)
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def try_send_request(self, requestId, request):
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"""
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Attempt to send a broker-agnostic request to one of the available brokers.
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Keep trying until you succeed.
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"""
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for conn in self.conns.values():
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try:
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conn.send(requestId, request)
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response = conn.recv(requestId)
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return response
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except Exception, e:
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log.warning("Could not send request [%r] to server %s, trying next server: %s" % (request, conn, e))
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continue
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return None
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def send_offset_request(self, payloads=[], fail_on_error=True, callback=None):
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requestId = self.next_id()
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request = KafkaProtocol.encode_offset_request(KafkaClient.CLIENT_ID, requestId, payloads)
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response = self.try_send_request(requestId, request)
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if response is None:
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if fail_on_error is True:
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raise Exception("All servers failed to process request")
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else:
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return None
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resps = self._send_broker_aware_request(payloads,
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KafkaProtocol.encode_offset_request,
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KafkaProtocol.decode_offset_response)
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out = []
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for offset_response in KafkaProtocol.decode_offset_response(response):
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if fail_on_error == True and offset_response.error != ErrorMapping.NO_ERROR:
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raise Exception("OffsetRequest failed with errorcode=%s", offset_response.error)
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for resp in resps:
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if fail_on_error == True and resp.error != ErrorMapping.NO_ERROR:
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raise Exception("OffsetRequest failed with errorcode=%s", resp.error)
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if callback is not None:
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out.append(callback(offset_response))
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out.append(callback(resp))
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else:
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out.append(offset_response)
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out.append(resp)
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return out
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def send_offset_commit_request(self, group, payloads=[], fail_on_error=True, callback=None):
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requestId = self.next_id()
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request = KafkaProtocol.encode_offset_commit_request(KafkaClient.CLIENT_ID, requestId, group, payloads)
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response = self.try_send_request(requestId, request)
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if response is None:
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if fail_on_error is True:
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raise Exception("All servers failed to process request")
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else:
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return None
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raise NotImplementedError("Broker-managed offsets not supported in 0.8")
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resps = self._send_broker_aware_request(payloads,
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partial(KafkaProtocol.encode_offset_commit_request, group=group),
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KafkaProtocol.decode_offset_commit_response)
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out = []
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for offset_commit_response in KafkaProtocol.decode_offset_commit_response(response):
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log.debug(offset_commit_response)
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if fail_on_error == True and offset_commit_response.error != ErrorMapping.NO_ERROR:
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raise Exception("OffsetCommitRequest failed with errorcode=%s", offset_commit_response.error)
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for resp in resps:
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if fail_on_error == True and resp.error != ErrorMapping.NO_ERROR:
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raise Exception("OffsetCommitRequest failed with errorcode=%s", resp.error)
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if callback is not None:
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out.append(callback(offset_commit_response))
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out.append(callback(resp))
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else:
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out.append(offset_commit_response)
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out.append(resp)
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return out
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def send_offset_fetch_request(self, group, payloads=[], fail_on_error=True, callback=None):
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requestId = self.next_id()
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request = KafkaProtocol.encode_offset_fetch_request(KafkaClient.CLIENT_ID, requestId, group, payloads)
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response = self.try_send_request(requestId, request)
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if response is None:
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if fail_on_error is True:
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raise Exception("All servers failed to process request")
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else:
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return None
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raise NotImplementedError("Broker-managed offsets not supported in 0.8")
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resps = self._send_broker_aware_request(payloads,
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partial(KafkaProtocol.encode_offset_commit_fetch, group=group),
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KafkaProtocol.decode_offset_fetch_response)
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out = []
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for offset_fetch_response in KafkaProtocol.decode_offset_fetch_response(response):
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if fail_on_error == True and offset_fetch_response.error != ErrorMapping.NO_ERROR:
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raise Exception("OffsetFetchRequest for topic=%s, partition=%d failed with errorcode=%s" % (
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offset_fetch_response.topic, offset_fetch_response.partition, offset_fetch_response.error))
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for resp in resps:
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if fail_on_error == True and resp.error != ErrorMapping.NO_ERROR:
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raise Exception("OffsetCommitRequest failed with errorcode=%s", resp.error)
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if callback is not None:
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out.append(callback(offset_fetch_response))
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out.append(callback(resp))
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else:
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out.append(offset_fetch_response)
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out.append(resp)
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return out
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@@ -1,3 +1,4 @@
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from itertools import izip_longest, repeat
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import logging
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from threading import Lock
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@@ -30,7 +31,7 @@ class SimpleConsumer(object):
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self.client = client
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self.topic = topic
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self.group = group
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self.client.load_metadata_for_topics(topic)
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self.client._load_metadata_for_topics(topic)
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self.offsets = {}
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# Set up the auto-commit timer
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@@ -54,12 +55,16 @@ class SimpleConsumer(object):
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raise Exception("OffsetFetchRequest for topic=%s, partition=%d failed with errorcode=%s" % (
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resp.topic, resp.partition, resp.error))
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# Uncomment for 0.8.1
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#
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#for partition in self.client.topic_partitions[topic]:
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# req = OffsetFetchRequest(topic, partition)
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# (offset,) = self.client.send_offset_fetch_request(group, [req],
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# callback=get_or_init_offset_callback, fail_on_error=False)
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# self.offsets[partition] = offset
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for partition in self.client.topic_partitions[topic]:
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req = OffsetFetchRequest(topic, partition)
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(offset,) = self.client.send_offset_fetch_request(group, [req],
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callback=get_or_init_offset_callback, fail_on_error=False)
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self.offsets[partition] = offset
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print self.offsets
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self.offsets[partition] = 0
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def seek(self, offset, whence):
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"""
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@@ -71,25 +76,30 @@ class SimpleConsumer(object):
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1 is relative to the current offset
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2 is relative to the latest known offset (tail)
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"""
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if whence == 1:
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# relative to current position
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if whence == 1: # relative to current position
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for partition, _offset in self.offsets.items():
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self.offset[partition] = _offset + offset
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elif whence in (0, 2):
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# relative to beginning or end
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elif whence in (0, 2): # relative to beginning or end
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# divide the request offset by number of partitions, distribute the remained evenly
|
||||
(delta, rem) = divmod(offset, len(self.offsets))
|
||||
deltas = {}
|
||||
for partition, r in izip_longest(self.offsets.keys(), repeat(1, rem), fillvalue=0):
|
||||
deltas[partition] = delta + r
|
||||
|
||||
reqs = []
|
||||
for partition in offsets.keys():
|
||||
for partition in self.offsets.keys():
|
||||
if whence == 0:
|
||||
reqs.append(OffsetRequest(self.topic, partition, -2, 1))
|
||||
elif whence == 2:
|
||||
reqs.append(OffsetRequest(self.topic, partition, -1, 1))
|
||||
else:
|
||||
pass
|
||||
resps = self.client.send_offset_request([req])
|
||||
|
||||
resps = self.client.send_offset_request(reqs)
|
||||
for resp in resps:
|
||||
self.offsets[resp.partition] = resp.offsets[0] + offset
|
||||
self.offsets[resp.partition] = resp.offsets[0] + deltas[resp.partition]
|
||||
else:
|
||||
raise
|
||||
raise ValueError("Unexpected value for `whence`, %d" % whence)
|
||||
|
||||
def commit(self, partitions=[]):
|
||||
"""
|
||||
@@ -98,6 +108,8 @@ class SimpleConsumer(object):
|
||||
partitions: list of partitions to commit, default is to commit all of them
|
||||
"""
|
||||
|
||||
raise NotImplementedError("Broker-managed offsets not supported in 0.8")
|
||||
|
||||
# short circuit if nothing happened
|
||||
if self.count_since_commit == 0:
|
||||
return
|
||||
@@ -121,15 +133,31 @@ class SimpleConsumer(object):
|
||||
self.count_since_commit = 0
|
||||
|
||||
def __iter__(self):
|
||||
"""
|
||||
Create an iterate per partition. Iterate through them calling next() until they are
|
||||
all exhausted.
|
||||
"""
|
||||
iters = {}
|
||||
for partition, offset in self.offsets.items():
|
||||
iters[partition] = self.__iter_partition__(partition, offset)
|
||||
|
||||
if len(iters) == 0:
|
||||
return
|
||||
|
||||
while True:
|
||||
for it in iters.values():
|
||||
yield it.next()
|
||||
if len(iters) == 0:
|
||||
break
|
||||
|
||||
for partition, it in iters.items():
|
||||
try:
|
||||
yield it.next()
|
||||
except StopIteration:
|
||||
log.debug("Done iterating over partition %s" % partition)
|
||||
del iters[partition]
|
||||
continue # skip auto-commit since we didn't yield anything
|
||||
|
||||
# auto commit logic
|
||||
self.count_since_commit += 1
|
||||
# deal with auto commits
|
||||
if self.auto_commit is True:
|
||||
if self.auto_commit_every_n is not None and self.count_since_commit > self.auto_commit_every_n:
|
||||
if self.commit_timer is not None:
|
||||
@@ -140,19 +168,22 @@ class SimpleConsumer(object):
|
||||
self.commit()
|
||||
|
||||
def __iter_partition__(self, partition, offset):
|
||||
"""
|
||||
Iterate over the messages in a partition. Create a FetchRequest to get back
|
||||
a batch of messages, yield them one at a time. After a batch is exhausted,
|
||||
start a new batch unless we've reached the end of ths partition.
|
||||
"""
|
||||
while True:
|
||||
req = FetchRequest(self.topic, partition, offset, 1024)
|
||||
req = FetchRequest(self.topic, partition, offset, 1024) # TODO configure fetch size
|
||||
(resp,) = self.client.send_fetch_request([req])
|
||||
assert resp.topic == self.topic
|
||||
assert resp.partition == partition
|
||||
next_offset = None
|
||||
for message in resp.messages:
|
||||
next_offset = message.offset
|
||||
print partition, message, message.offset
|
||||
yield message
|
||||
# update the internal state _after_ we yield the message
|
||||
self.offsets[partition] = message.offset
|
||||
print partition, next_offset
|
||||
if next_offset is None:
|
||||
break
|
||||
else:
|
||||
|
||||
@@ -13,10 +13,11 @@ class SimpleProducer(object):
|
||||
def __init__(self, client, topic):
|
||||
self.client = client
|
||||
self.topic = topic
|
||||
self.client.load_metadata_for_topics(topic)
|
||||
self.client._load_metadata_for_topics(topic)
|
||||
self.next_partition = cycle(self.client.topic_partitions[topic])
|
||||
|
||||
def send_message(self, msg):
|
||||
req = ProduceRequest(self.topic, self.next_partition.next(),
|
||||
messages=[create_message(msg)])
|
||||
resp = self.client.send_produce_request([req]).next()
|
||||
resp = self.client.send_produce_request([req])[0]
|
||||
assert resp.error == 0
|
||||
|
||||
@@ -217,7 +217,7 @@ class KafkaProtocol(object):
|
||||
return struct.pack('>i%ds' % len(message), len(message), message)
|
||||
|
||||
@classmethod
|
||||
def decode_fetch_response_iter(cls, data):
|
||||
def decode_fetch_response(cls, data):
|
||||
"""
|
||||
Decode bytes to a FetchResponse
|
||||
|
||||
|
||||
@@ -8,6 +8,8 @@ from .client import KafkaClient, FetchRequest, ProduceRequest
|
||||
|
||||
log = logging.getLogger("kafka")
|
||||
|
||||
raise NotImplementedError("Still need to refactor this class")
|
||||
|
||||
class KafkaConsumerProcess(Process):
|
||||
def __init__(self, client, topic, partition, out_queue, barrier, consumer_fetch_size=1024, consumer_sleep=200):
|
||||
self.client = copy(client)
|
||||
|
||||
@@ -243,7 +243,7 @@ class TestKafkaClient(unittest.TestCase):
|
||||
def test_consume_none(self):
|
||||
fetch = FetchRequest("test_consume_none", 0, 0, 1024)
|
||||
|
||||
fetch_resp = self.client.send_fetch_request([fetch]).next()
|
||||
fetch_resp = self.client.send_fetch_request([fetch])[0]
|
||||
self.assertEquals(fetch_resp.error, 0)
|
||||
self.assertEquals(fetch_resp.topic, "test_consume_none")
|
||||
self.assertEquals(fetch_resp.partition, 0)
|
||||
@@ -263,7 +263,7 @@ class TestKafkaClient(unittest.TestCase):
|
||||
|
||||
fetch = FetchRequest("test_produce_consume", 0, 0, 1024)
|
||||
|
||||
fetch_resp = self.client.send_fetch_request([fetch]).next()
|
||||
fetch_resp = self.client.send_fetch_request([fetch])[0]
|
||||
self.assertEquals(fetch_resp.error, 0)
|
||||
|
||||
messages = list(fetch_resp.messages)
|
||||
@@ -343,6 +343,7 @@ class TestKafkaClient(unittest.TestCase):
|
||||
# Offset Tests #
|
||||
####################
|
||||
|
||||
@unittest.skip("No supported until 0.8.1")
|
||||
def test_commit_fetch_offsets(self):
|
||||
req = OffsetCommitRequest("test_commit_fetch_offsets", 0, 42, "metadata")
|
||||
(resp,) = self.client.send_offset_commit_request("group", [req])
|
||||
@@ -428,23 +429,21 @@ class TestConsumer(unittest.TestCase):
|
||||
self.assertEquals(len(all_messages), 200)
|
||||
self.assertEquals(len(all_messages), len(set(all_messages))) # make sure there are no dupes
|
||||
|
||||
# Produce more messages
|
||||
produce3 = ProduceRequest("test_consumer", 1, messages=[
|
||||
create_message("Test message 3 %d" % i) for i in range(10)
|
||||
])
|
||||
|
||||
for resp in self.client.send_produce_request([produce3]):
|
||||
self.assertEquals(resp.error, 0)
|
||||
self.assertEquals(resp.offset, 100)
|
||||
|
||||
# Start a new consumer, make sure we only get the newly produced messages
|
||||
consumer = SimpleConsumer(self.client, "group1", "test_consumer")
|
||||
|
||||
consumer.seek(-10, 2)
|
||||
all_messages = []
|
||||
for message in consumer:
|
||||
all_messages.append(message)
|
||||
|
||||
self.assertEquals(len(all_messages), 10)
|
||||
|
||||
consumer.seek(-13, 2)
|
||||
all_messages = []
|
||||
for message in consumer:
|
||||
all_messages.append(message)
|
||||
|
||||
self.assertEquals(len(all_messages), 13)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
logging.basicConfig(level=logging.DEBUG)
|
||||
unittest.main()
|
||||
|
||||
Reference in New Issue
Block a user