conn.py performance improvements, make examples work, add another example

example.py

@@ -1,23 +1,48 @@
-import logging
+#!/usr/bin/env python
+import threading, logging, time
 
-from kafka.client import KafkaClient, FetchRequest, ProduceRequest
+from kafka.client import KafkaClient
 from kafka.consumer import SimpleConsumer
 from kafka.producer import SimpleProducer
 
-def produce_example(client):
-    producer = SimpleProducer(client, "my-topic")
-    producer.send_messages("test")
+class Producer(threading.Thread):
+    daemon = True
 
-def consume_example(client):
-    consumer = SimpleConsumer(client, "test-group", "my-topic")
-    for message in consumer:
-        print(message)
+    def run(self):
+        client = KafkaClient("localhost:9092")
+        producer = SimpleProducer(client)
+
+        while True:
+            producer.send_messages('my-topic', "test")
+            producer.send_messages('my-topic', "\xc2Hola, mundo!")
+
+            time.sleep(1)
+
+
+class Consumer(threading.Thread):
+    daemon = True
+
+    def run(self):
+        client = KafkaClient("localhost:9092")
+        consumer = SimpleConsumer(client, "test-group", "my-topic")
+
+        for message in consumer:
+            print(message)
 
 def main():
-    client = KafkaClient("localhost:9092")
-    produce_example(client)
-    consume_example(client)
+    threads = [
+        Producer(),
+        Consumer()
+    ]
+
+    for t in threads:
+        t.start()
+
+    time.sleep(5)
 
 if __name__ == "__main__":
-    logging.basicConfig(level=logging.DEBUG)
+    logging.basicConfig(
+        format='%(asctime)s.%(msecs)s:%(name)s:%(thread)d:%(levelname)s:%(process)d:%(message)s',
+        level=logging.DEBUG
+        )
     main()

kafka/client.py

@@ -5,7 +5,7 @@
 from functools import partial
 from itertools import count
 
-from kafka.common import (ErrorMapping, TopicAndPartition,
+from kafka.common import (ErrorMapping, ErrorStrings, TopicAndPartition,
                           ConnectionError, FailedPayloadsError,
                           BrokerResponseError, PartitionUnavailableError,
                           KafkaUnavailableError, KafkaRequestError)
@@ -185,8 +185,8 @@ def _raise_on_response_error(self, resp):
             self.reset_topic_metadata(resp.topic)
 
         raise BrokerResponseError(
-            "Request for %s failed with errorcode=%d" %
-            (TopicAndPartition(resp.topic, resp.partition), resp.error))
+            "Request for %s failed with errorcode=%d (%s)" %
+            (TopicAndPartition(resp.topic, resp.partition), resp.error, ErrorStrings[resp.error]))
 
     #################
     #   Public API  #

kafka/common.py

@@ -48,22 +48,28 @@
 TopicAndPartition = namedtuple("TopicAndPartition", ["topic", "partition"])
 
 
+ErrorStrings = {
+    -1 : 'UNKNOWN',
+    0 : 'NO_ERROR',
+    1 : 'OFFSET_OUT_OF_RANGE',
+    2 : 'INVALID_MESSAGE',
+    3 : 'UNKNOWN_TOPIC_OR_PARTITON',
+    4 : 'INVALID_FETCH_SIZE',
+    5 : 'LEADER_NOT_AVAILABLE',
+    6 : 'NOT_LEADER_FOR_PARTITION',
+    7 : 'REQUEST_TIMED_OUT',
+    8 : 'BROKER_NOT_AVAILABLE',
+    9 : 'REPLICA_NOT_AVAILABLE',
+    10 : 'MESSAGE_SIZE_TOO_LARGE',
+    11 : 'STALE_CONTROLLER_EPOCH',
+    12 : 'OFFSET_METADATA_TOO_LARGE',
+}
+
 class ErrorMapping(object):
-    # Many of these are not actually used by the client
-    UNKNOWN                   = -1
-    NO_ERROR                  = 0
-    OFFSET_OUT_OF_RANGE       = 1
-    INVALID_MESSAGE           = 2
-    UNKNOWN_TOPIC_OR_PARTITON = 3
-    INVALID_FETCH_SIZE        = 4
-    LEADER_NOT_AVAILABLE      = 5
-    NOT_LEADER_FOR_PARTITION  = 6
-    REQUEST_TIMED_OUT         = 7
-    BROKER_NOT_AVAILABLE      = 8
-    REPLICA_NOT_AVAILABLE     = 9
-    MESSAGE_SIZE_TO_LARGE     = 10
-    STALE_CONTROLLER_EPOCH    = 11
-    OFFSET_METADATA_TOO_LARGE = 12
+    pass
+
+for k, v in ErrorStrings.items():
+    setattr(ErrorMapping, v, k)
 
 #################
 #   Exceptions  #

kafka/conn.py

@@ -54,11 +54,10 @@ def __init__(self, host, port, timeout=DEFAULT_SOCKET_TIMEOUT_SECONDS):
         super(KafkaConnection, self).__init__()
         self.host = host
         self.port = port
-        self._sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-        self._sock.connect((host, port))
         self.timeout = timeout
-        self._sock.settimeout(self.timeout)
-        self._dirty = False
+        self._sock = None
+
+        self.reinit()
 
     def __repr__(self):
         return "<KafkaConnection host=%s port=%d>" % (self.host, self.port)
@@ -73,24 +72,28 @@ def _raise_connection_error(self):
 
     def _read_bytes(self, num_bytes):
         bytes_left = num_bytes
-        resp = ''
+        responses = []
+
         log.debug("About to read %d bytes from Kafka", num_bytes)
         if self._dirty:
             self.reinit()
+
         while bytes_left:
             try:
-                data = self._sock.recv(bytes_left)
+                data = self._sock.recv(min(bytes_left, 4096))
             except socket.error:
                 log.exception('Unable to receive data from Kafka')
                 self._raise_connection_error()
+
             if data == '':
                 log.error("Not enough data to read this response")
                 self._raise_connection_error()
+
             bytes_left -= len(data)
             log.debug("Read %d/%d bytes from Kafka", num_bytes - bytes_left, num_bytes)
-            resp += data
+            responses.append(data)
 
-        return resp
+        return ''.join(responses)
 
     ##################
     #   Public API   #

load_example.py

@@ -0,0 +1,60 @@
+#!/usr/bin/env python
+import threading, logging, time, collections
+
+from kafka.client import KafkaClient
+from kafka.consumer import SimpleConsumer
+from kafka.producer import SimpleProducer
+
+msg_size = 524288
+
+class Producer(threading.Thread):
+    daemon = True
+    big_msg = "1" * msg_size
+
+    def run(self):
+        client = KafkaClient("localhost:9092")
+        producer = SimpleProducer(client)
+        self.sent = 0
+
+        while True:
+            producer.send_messages('my-topic', self.big_msg)
+            self.sent += 1
+
+
+class Consumer(threading.Thread):
+    daemon = True
+
+    def run(self):
+        client = KafkaClient("localhost:9092")
+        consumer = SimpleConsumer(client, "test-group", "my-topic",
+            max_buffer_size = None,
+        )
+        self.valid = 0
+        self.invalid = 0
+
+        for message in consumer:
+            if len(message.message.value) == msg_size:
+                self.valid += 1
+            else:
+                self.invalid += 1
+
+def main():
+    threads = [
+        Producer(),
+        Consumer()
+    ]
+
+    for t in threads:
+        t.start()
+
+    time.sleep(10)
+    print 'Messages sent: %d' % threads[0].sent
+    print 'Messages recvd: %d' % threads[1].valid
+    print 'Messages invalid: %d' % threads[1].invalid
+
+if __name__ == "__main__":
+    logging.basicConfig(
+        format='%(asctime)s.%(msecs)s:%(name)s:%(thread)d:%(levelname)s:%(process)d:%(message)s',
+        level=logging.DEBUG
+        )
+    main()