PEP8-ify most of the files
consumer.py and conn.py will be done later after pending merges
This commit is contained in:
@@ -4,7 +4,7 @@ __author__ = 'David Arthur'
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__license__ = 'Apache License 2.0'
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__copyright__ = 'Copyright 2012, David Arthur under Apache License, v2.0'
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from kafka.client import KafkaClient
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from kafka.client import KafkaClient
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from kafka.conn import KafkaConnection
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from kafka.protocol import (
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create_message, create_gzip_message, create_snappy_message
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@@ -6,10 +6,11 @@ log = logging.getLogger("kafka.codec")
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try:
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import snappy
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hasSnappy=True
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hasSnappy = True
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except ImportError:
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log.warn("Snappy codec not available")
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hasSnappy=False
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hasSnappy = False
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def gzip_encode(payload):
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buf = StringIO()
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@@ -21,6 +22,7 @@ def gzip_encode(payload):
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buf.close()
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return out
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def gzip_decode(payload):
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buf = StringIO(payload)
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f = gzip.GzipFile(fileobj=buf, mode='r')
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@@ -29,11 +31,13 @@ def gzip_decode(payload):
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buf.close()
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return out
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def snappy_encode(payload):
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if not hasSnappy:
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raise NotImplementedError("Snappy codec not available")
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return snappy.compress(payload)
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def snappy_decode(payload):
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if not hasSnappy:
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raise NotImplementedError("Snappy codec not available")
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@@ -5,26 +5,49 @@ from collections import namedtuple
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###############
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# Request payloads
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ProduceRequest = namedtuple("ProduceRequest", ["topic", "partition", "messages"])
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FetchRequest = namedtuple("FetchRequest", ["topic", "partition", "offset", "max_bytes"])
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OffsetRequest = namedtuple("OffsetRequest", ["topic", "partition", "time", "max_offsets"])
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OffsetCommitRequest = namedtuple("OffsetCommitRequest", ["topic", "partition", "offset", "metadata"])
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ProduceRequest = namedtuple("ProduceRequest",
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["topic", "partition", "messages"])
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FetchRequest = namedtuple("FetchRequest",
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["topic", "partition", "offset", "max_bytes"])
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OffsetRequest = namedtuple("OffsetRequest",
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["topic", "partition", "time", "max_offsets"])
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OffsetCommitRequest = namedtuple("OffsetCommitRequest",
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["topic", "partition", "offset", "metadata"])
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OffsetFetchRequest = namedtuple("OffsetFetchRequest", ["topic", "partition"])
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# Response payloads
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ProduceResponse = namedtuple("ProduceResponse", ["topic", "partition", "error", "offset"])
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FetchResponse = namedtuple("FetchResponse", ["topic", "partition", "error", "highwaterMark", "messages"])
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OffsetResponse = namedtuple("OffsetResponse", ["topic", "partition", "error", "offsets"])
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OffsetCommitResponse = namedtuple("OffsetCommitResponse", ["topic", "partition", "error"])
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OffsetFetchResponse = namedtuple("OffsetFetchResponse", ["topic", "partition", "offset", "metadata", "error"])
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BrokerMetadata = namedtuple("BrokerMetadata", ["nodeId", "host", "port"])
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PartitionMetadata = namedtuple("PartitionMetadata", ["topic", "partition", "leader", "replicas", "isr"])
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ProduceResponse = namedtuple("ProduceResponse",
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["topic", "partition", "error", "offset"])
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# Other useful structs
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FetchResponse = namedtuple("FetchResponse", ["topic", "partition", "error",
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"highwaterMark", "messages"])
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OffsetResponse = namedtuple("OffsetResponse",
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["topic", "partition", "error", "offsets"])
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OffsetCommitResponse = namedtuple("OffsetCommitResponse",
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["topic", "partition", "error"])
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OffsetFetchResponse = namedtuple("OffsetFetchResponse",
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["topic", "partition", "offset",
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"metadata", "error"])
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BrokerMetadata = namedtuple("BrokerMetadata", ["nodeId", "host", "port"])
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PartitionMetadata = namedtuple("PartitionMetadata",
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["topic", "partition", "leader",
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"replicas", "isr"])
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# Other useful structs
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OffsetAndMessage = namedtuple("OffsetAndMessage", ["offset", "message"])
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Message = namedtuple("Message", ["magic", "attributes", "key", "value"])
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TopicAndPartition = namedtuple("TopicAndPartition", ["topic", "partition"])
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class ErrorMapping(object):
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# Many of these are not actually used by the client
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UNKNOWN = -1
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@@ -6,6 +6,7 @@ from kafka.protocol import create_message
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log = logging.getLogger("kafka")
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class SimpleProducer(object):
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"""
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A simple, round-robbin producer. Each message goes to exactly one partition
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@@ -18,6 +19,7 @@ class SimpleProducer(object):
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def send_messages(self, *msg):
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req = ProduceRequest(self.topic, self.next_partition.next(),
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messages=[create_message(m) for m in msg])
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messages=[create_message(m) for m in msg])
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resp = self.client.send_produce_request([req])[0]
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assert resp.error == 0
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@@ -18,10 +18,12 @@ from kafka.util import (
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log = logging.getLogger("kafka")
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class KafkaProtocol(object):
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"""
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Class to encapsulate all of the protocol encoding/decoding. This class does not
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have any state associated with it, it is purely for organization.
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Class to encapsulate all of the protocol encoding/decoding.
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This class does not have any state associated with it, it is purely
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for organization.
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"""
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PRODUCE_KEY = 0
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FETCH_KEY = 1
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@@ -44,18 +46,18 @@ class KafkaProtocol(object):
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"""
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Encode the common request envelope
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"""
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return struct.pack('>hhih%ds' % len(client_id),
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return struct.pack('>hhih%ds' % len(client_id),
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request_key, # ApiKey
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0, # ApiVersion
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correlation_id, # CorrelationId
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len(client_id), #
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len(client_id),
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client_id) # ClientId
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@classmethod
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def _encode_message_set(cls, messages):
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"""
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Encode a MessageSet. Unlike other arrays in the protocol, MessageSets are
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not length-prefixed
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Encode a MessageSet. Unlike other arrays in the protocol,
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MessageSets are not length-prefixed
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Format
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======
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@@ -66,7 +68,8 @@ class KafkaProtocol(object):
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message_set = ""
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for message in messages:
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encoded_message = KafkaProtocol._encode_message(message)
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message_set += struct.pack('>qi%ds' % len(encoded_message), 0, len(encoded_message), encoded_message)
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message_set += struct.pack('>qi%ds' % len(encoded_message), 0,
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len(encoded_message), encoded_message)
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return message_set
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@classmethod
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@@ -74,10 +77,10 @@ class KafkaProtocol(object):
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"""
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Encode a single message.
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The magic number of a message is a format version number. The only supported
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magic number right now is zero
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The magic number of a message is a format version number.
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The only supported magic number right now is zero
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Format
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Format
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======
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Message => Crc MagicByte Attributes Key Value
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Crc => int32
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@@ -96,24 +99,27 @@ class KafkaProtocol(object):
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raise Exception("Unexpected magic number: %d" % message.magic)
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return msg
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@classmethod
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def _decode_message_set_iter(cls, data):
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"""
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Iteratively decode a MessageSet
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Reads repeated elements of (offset, message), calling decode_message to decode a
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single message. Since compressed messages contain futher MessageSets, these two methods
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have been decoupled so that they may recurse easily.
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Reads repeated elements of (offset, message), calling decode_message
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to decode a single message. Since compressed messages contain futher
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MessageSets, these two methods have been decoupled so that they may
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recurse easily.
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"""
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cur = 0
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while cur < len(data):
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try:
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((offset, ), cur) = relative_unpack('>q', data, cur)
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(msg, cur) = read_int_string(data, cur)
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for (offset, message) in KafkaProtocol._decode_message(msg, offset):
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for (offset, message) in KafkaProtocol._decode_message(msg,
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offset):
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yield OffsetAndMessage(offset, message)
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except BufferUnderflowError: # If we get a partial read of a message, stop
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except BufferUnderflowError:
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# If we get a partial read of a message, stop
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raise StopIteration()
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@classmethod
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@@ -121,9 +127,10 @@ class KafkaProtocol(object):
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"""
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Decode a single Message
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The only caller of this method is decode_message_set_iter. They are decoupled to
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support nested messages (compressed MessageSets). The offset is actually read from
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decode_message_set_iter (it is part of the MessageSet payload).
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The only caller of this method is decode_message_set_iter.
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They are decoupled to support nested messages (compressed MessageSets).
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The offset is actually read from decode_message_set_iter (it is part
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of the MessageSet payload).
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"""
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((crc, magic, att), cur) = relative_unpack('>iBB', data, 0)
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if crc != zlib.crc32(data[4:]):
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@@ -131,23 +138,29 @@ class KafkaProtocol(object):
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(key, cur) = read_int_string(data, cur)
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(value, cur) = read_int_string(data, cur)
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if att & KafkaProtocol.ATTRIBUTE_CODEC_MASK == KafkaProtocol.CODEC_NONE:
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codec = att & KafkaProtocol.ATTRIBUTE_CODEC_MASK
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if codec == KafkaProtocol.CODEC_NONE:
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yield (offset, Message(magic, att, key, value))
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elif att & KafkaProtocol.ATTRIBUTE_CODEC_MASK == KafkaProtocol.CODEC_GZIP:
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elif codec == KafkaProtocol.CODEC_GZIP:
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gz = gzip_decode(value)
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for (offset, message) in KafkaProtocol._decode_message_set_iter(gz):
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yield (offset, message)
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elif att & KafkaProtocol.ATTRIBUTE_CODEC_MASK == KafkaProtocol.CODEC_SNAPPY:
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for (offset, msg) in KafkaProtocol._decode_message_set_iter(gz):
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yield (offset, msg)
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elif codec == KafkaProtocol.CODEC_SNAPPY:
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snp = snappy_decode(value)
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for (offset, message) in KafkaProtocol._decode_message_set_iter(snp):
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yield (offset, message)
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for (offset, msg) in KafkaProtocol._decode_message_set_iter(snp):
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yield (offset, msg)
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##################
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# Public API #
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##################
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@classmethod
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def encode_produce_request(cls, client_id, correlation_id, payloads=[], acks=1, timeout=1000):
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def encode_produce_request(cls, client_id, correlation_id,
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payloads=None, acks=1, timeout=1000):
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"""
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Encode some ProduceRequest structs
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@@ -161,39 +174,53 @@ class KafkaProtocol(object):
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1: written to disk by the leader
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2+: waits for this many number of replicas to sync
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-1: waits for all replicas to be in sync
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timeout: Maximum time the server will wait for acks from replicas. This is _not_ a socket timeout
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timeout: Maximum time the server will wait for acks from replicas.
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This is _not_ a socket timeout
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"""
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payloads = [] if payloads is None else payloads
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grouped_payloads = group_by_topic_and_partition(payloads)
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message = cls._encode_message_header(client_id, correlation_id, KafkaProtocol.PRODUCE_KEY)
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message = cls._encode_message_header(client_id, correlation_id,
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KafkaProtocol.PRODUCE_KEY)
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message += struct.pack('>hii', acks, timeout, len(grouped_payloads))
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for topic, topic_payloads in grouped_payloads.items():
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message += struct.pack('>h%dsi' % len(topic), len(topic), topic, len(topic_payloads))
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message += struct.pack('>h%dsi' % len(topic),
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len(topic), topic, len(topic_payloads))
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for partition, payload in topic_payloads.items():
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message_set = KafkaProtocol._encode_message_set(payload.messages)
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message += struct.pack('>ii%ds' % len(message_set), partition, len(message_set), message_set)
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msg_set = KafkaProtocol._encode_message_set(payload.messages)
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message += struct.pack('>ii%ds' % len(msg_set), partition,
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len(msg_set), msg_set)
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return struct.pack('>i%ds' % len(message), len(message), message)
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@classmethod
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def decode_produce_response(cls, data):
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"""
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Decode bytes to a ProduceResponse
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Decode bytes to a ProduceResponse
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Params
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======
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data: bytes to decode
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"""
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((correlation_id, num_topics), cur) = relative_unpack('>ii', data, 0)
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for i in range(num_topics):
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((strlen,), cur) = relative_unpack('>h', data, cur)
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topic = data[cur:cur+strlen]
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topic = data[cur:cur + strlen]
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cur += strlen
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((num_partitions,), cur) = relative_unpack('>i', data, cur)
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for i in range(num_partitions):
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((partition, error, offset), cur) = relative_unpack('>ihq', data, cur)
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((partition, error, offset), cur) = relative_unpack('>ihq',
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data, cur)
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yield ProduceResponse(topic, partition, error, offset)
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@classmethod
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def encode_fetch_request(cls, client_id, correlation_id, payloads=[], max_wait_time=100, min_bytes=4096):
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def encode_fetch_request(cls, client_id, correlation_id, payloads=None,
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max_wait_time=100, min_bytes=4096):
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"""
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Encodes some FetchRequest structs
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@@ -203,17 +230,27 @@ class KafkaProtocol(object):
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correlation_id: string
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payloads: list of FetchRequest
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max_wait_time: int, how long to block waiting on min_bytes of data
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min_bytes: int, the minimum number of bytes to accumulate before returning the response
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min_bytes: int, the minimum number of bytes to accumulate before
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returning the response
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"""
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payloads = [] if payloads is None else payloads
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grouped_payloads = group_by_topic_and_partition(payloads)
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message = cls._encode_message_header(client_id, correlation_id, KafkaProtocol.FETCH_KEY)
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message += struct.pack('>iiii', -1, max_wait_time, min_bytes, len(grouped_payloads)) # -1 is the replica id
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message = cls._encode_message_header(client_id, correlation_id,
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KafkaProtocol.FETCH_KEY)
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# -1 is the replica id
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message += struct.pack('>iiii', -1, max_wait_time, min_bytes,
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len(grouped_payloads))
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for topic, topic_payloads in grouped_payloads.items():
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message += write_short_string(topic)
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message += struct.pack('>i', len(topic_payloads))
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for partition, payload in topic_payloads.items():
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message += struct.pack('>iqi', partition, payload.offset, payload.max_bytes)
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message += struct.pack('>iqi', partition, payload.offset,
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payload.max_bytes)
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return struct.pack('>i%ds' % len(message), len(message), message)
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@classmethod
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@@ -226,25 +263,41 @@ class KafkaProtocol(object):
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data: bytes to decode
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"""
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((correlation_id, num_topics), cur) = relative_unpack('>ii', data, 0)
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for i in range(num_topics):
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(topic, cur) = read_short_string(data, cur)
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((num_partitions,), cur) = relative_unpack('>i', data, cur)
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for i in range(num_partitions):
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((partition, error, highwater_mark_offset), cur) = relative_unpack('>ihq', data, cur)
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((partition, error, highwater_mark_offset), cur) = \
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relative_unpack('>ihq', data, cur)
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(message_set, cur) = read_int_string(data, cur)
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yield FetchResponse(topic, partition, error, highwater_mark_offset,
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yield FetchResponse(
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topic, partition, error,
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highwater_mark_offset,
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KafkaProtocol._decode_message_set_iter(message_set))
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@classmethod
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def encode_offset_request(cls, client_id, correlation_id, payloads=[]):
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def encode_offset_request(cls, client_id, correlation_id, payloads=None):
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payloads = [] if payloads is None else payloads
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grouped_payloads = group_by_topic_and_partition(payloads)
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message = cls._encode_message_header(client_id, correlation_id, KafkaProtocol.OFFSET_KEY)
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message += struct.pack('>ii', -1, len(grouped_payloads)) # -1 is the replica id
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message = cls._encode_message_header(client_id, correlation_id,
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KafkaProtocol.OFFSET_KEY)
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# -1 is the replica id
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message += struct.pack('>ii', -1, len(grouped_payloads))
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for topic, topic_payloads in grouped_payloads.items():
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message += write_short_string(topic)
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message += struct.pack('>i', len(topic_payloads))
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for partition, payload in topic_payloads.items():
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message += struct.pack('>iqi', partition, payload.time, payload.max_offsets)
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message += struct.pack('>iqi', partition, payload.time,
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payload.max_offsets)
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return struct.pack('>i%ds' % len(message), len(message), message)
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@classmethod
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@@ -257,19 +310,24 @@ class KafkaProtocol(object):
|
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data: bytes to decode
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"""
|
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((correlation_id, num_topics), cur) = relative_unpack('>ii', data, 0)
|
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for i in range(num_topics):
|
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(topic, cur) = read_short_string(data, cur)
|
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((num_partitions,), cur) = relative_unpack('>i', data, cur)
|
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|
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for i in range(num_partitions):
|
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((partition, error, num_offsets,), cur) = relative_unpack('>ihi', data, cur)
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((partition, error, num_offsets,), cur) = \
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relative_unpack('>ihi', data, cur)
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offsets = []
|
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for j in range(num_offsets):
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((offset,), cur) = relative_unpack('>q', data, cur)
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offsets.append(offset)
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||||
yield OffsetResponse(topic, partition, error, tuple(offsets))
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||||
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||||
@classmethod
|
||||
def encode_metadata_request(cls, client_id, correlation_id, topics=[]):
|
||||
def encode_metadata_request(cls, client_id, correlation_id, topics=None):
|
||||
"""
|
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Encode a MetadataRequest
|
||||
|
||||
@@ -279,10 +337,15 @@ class KafkaProtocol(object):
|
||||
correlation_id: string
|
||||
topics: list of strings
|
||||
"""
|
||||
message = cls._encode_message_header(client_id, correlation_id, KafkaProtocol.METADATA_KEY)
|
||||
topics = [] if topics is None else topics
|
||||
message = cls._encode_message_header(client_id, correlation_id,
|
||||
KafkaProtocol.METADATA_KEY)
|
||||
|
||||
message += struct.pack('>i', len(topics))
|
||||
|
||||
for topic in topics:
|
||||
message += struct.pack('>h%ds' % len(topic), len(topic), topic)
|
||||
|
||||
return write_int_string(message)
|
||||
|
||||
@classmethod
|
||||
@@ -307,22 +370,34 @@ class KafkaProtocol(object):
|
||||
# Topic info
|
||||
((num_topics,), cur) = relative_unpack('>i', data, cur)
|
||||
topicMetadata = {}
|
||||
|
||||
for i in range(num_topics):
|
||||
((topicError,), cur) = relative_unpack('>h', data, cur)
|
||||
(topicName, cur) = read_short_string(data, cur)
|
||||
((num_partitions,), cur) = relative_unpack('>i', data, cur)
|
||||
partitionMetadata = {}
|
||||
|
||||
for j in range(num_partitions):
|
||||
((partitionErrorCode, partition, leader, numReplicas), cur) = relative_unpack('>hiii', data, cur)
|
||||
(replicas, cur) = relative_unpack('>%di' % numReplicas, data, cur)
|
||||
((partitionErrorCode, partition, leader, numReplicas), cur) = \
|
||||
relative_unpack('>hiii', data, cur)
|
||||
|
||||
(replicas, cur) = relative_unpack('>%di' % numReplicas,
|
||||
data, cur)
|
||||
|
||||
((numIsr,), cur) = relative_unpack('>i', data, cur)
|
||||
(isr, cur) = relative_unpack('>%di' % numIsr, data, cur)
|
||||
partitionMetadata[partition] = PartitionMetadata(topicName, partition, leader, replicas, isr)
|
||||
|
||||
partitionMetadata[partition] = \
|
||||
PartitionMetadata(topicName, partition, leader,
|
||||
replicas, isr)
|
||||
|
||||
topicMetadata[topicName] = partitionMetadata
|
||||
|
||||
return (brokers, topicMetadata)
|
||||
|
||||
@classmethod
|
||||
def encode_offset_commit_request(cls, client_id, correlation_id, group, payloads):
|
||||
def encode_offset_commit_request(cls, client_id, correlation_id,
|
||||
group, payloads):
|
||||
"""
|
||||
Encode some OffsetCommitRequest structs
|
||||
|
||||
@@ -333,16 +408,21 @@ class KafkaProtocol(object):
|
||||
group: string, the consumer group you are committing offsets for
|
||||
payloads: list of OffsetCommitRequest
|
||||
"""
|
||||
grouped_payloads= group_by_topic_and_partition(payloads)
|
||||
message = cls._encode_message_header(client_id, correlation_id, KafkaProtocol.OFFSET_COMMIT_KEY)
|
||||
grouped_payloads = group_by_topic_and_partition(payloads)
|
||||
|
||||
message = cls._encode_message_header(client_id, correlation_id,
|
||||
KafkaProtocol.OFFSET_COMMIT_KEY)
|
||||
message += write_short_string(group)
|
||||
message += struct.pack('>i', len(grouped_payloads))
|
||||
|
||||
for topic, topic_payloads in grouped_payloads.items():
|
||||
message += write_short_string(topic)
|
||||
message += struct.pack('>i', len(topic_payloads))
|
||||
|
||||
for partition, payload in topic_payloads.items():
|
||||
message += struct.pack('>iq', partition, payload.offset)
|
||||
message += write_short_string(payload.metadata)
|
||||
|
||||
return struct.pack('>i%ds' % len(message), len(message), message)
|
||||
|
||||
@classmethod
|
||||
@@ -357,15 +437,18 @@ class KafkaProtocol(object):
|
||||
((correlation_id,), cur) = relative_unpack('>i', data, 0)
|
||||
(client_id, cur) = read_short_string(data, cur)
|
||||
((num_topics,), cur) = relative_unpack('>i', data, cur)
|
||||
|
||||
for i in xrange(num_topics):
|
||||
(topic, cur) = read_short_string(data, cur)
|
||||
((num_partitions,), cur) = relative_unpack('>i', data, cur)
|
||||
|
||||
for i in xrange(num_partitions):
|
||||
((partition, error), cur) = relative_unpack('>ih', data, cur)
|
||||
yield OffsetCommitResponse(topic, partition, error)
|
||||
|
||||
@classmethod
|
||||
def encode_offset_fetch_request(cls, client_id, correlation_id, group, payloads):
|
||||
def encode_offset_fetch_request(cls, client_id, correlation_id,
|
||||
group, payloads):
|
||||
"""
|
||||
Encode some OffsetFetchRequest structs
|
||||
|
||||
@@ -377,14 +460,19 @@ class KafkaProtocol(object):
|
||||
payloads: list of OffsetFetchRequest
|
||||
"""
|
||||
grouped_payloads = group_by_topic_and_partition(payloads)
|
||||
message = cls._encode_message_header(client_id, correlation_id, KafkaProtocol.OFFSET_FETCH_KEY)
|
||||
message = cls._encode_message_header(client_id, correlation_id,
|
||||
KafkaProtocol.OFFSET_FETCH_KEY)
|
||||
|
||||
message += write_short_string(group)
|
||||
message += struct.pack('>i', len(grouped_payloads))
|
||||
|
||||
for topic, topic_payloads in grouped_payloads.items():
|
||||
message += write_short_string(topic)
|
||||
message += struct.pack('>i', len(topic_payloads))
|
||||
|
||||
for partition, payload in topic_payloads.items():
|
||||
message += struct.pack('>i', partition)
|
||||
|
||||
return struct.pack('>i%ds' % len(message), len(message), message)
|
||||
|
||||
@classmethod
|
||||
@@ -400,14 +488,19 @@ class KafkaProtocol(object):
|
||||
((correlation_id,), cur) = relative_unpack('>i', data, 0)
|
||||
(client_id, cur) = read_short_string(data, cur)
|
||||
((num_topics,), cur) = relative_unpack('>i', data, cur)
|
||||
|
||||
for i in range(num_topics):
|
||||
(topic, cur) = read_short_string(data, cur)
|
||||
((num_partitions,), cur) = relative_unpack('>i', data, cur)
|
||||
|
||||
for i in range(num_partitions):
|
||||
((partition, offset), cur) = relative_unpack('>iq', data, cur)
|
||||
(metadata, cur) = read_short_string(data, cur)
|
||||
((error,), cur) = relative_unpack('>h', data, cur)
|
||||
yield OffsetFetchResponse(topic, partition, offset, metadata, error)
|
||||
|
||||
yield OffsetFetchResponse(topic, partition, offset,
|
||||
metadata, error)
|
||||
|
||||
|
||||
def create_message(payload, key=None):
|
||||
"""
|
||||
@@ -420,6 +513,7 @@ def create_message(payload, key=None):
|
||||
"""
|
||||
return Message(0, 0, key, payload)
|
||||
|
||||
|
||||
def create_gzip_message(payloads, key=None):
|
||||
"""
|
||||
Construct a Gzipped Message containing multiple Messages
|
||||
@@ -433,9 +527,13 @@ def create_gzip_message(payloads, key=None):
|
||||
key: bytes, a key used for partition routing (optional)
|
||||
"""
|
||||
message_set = KafkaProtocol._encode_message_set(
|
||||
[create_message(payload) for payload in payloads])
|
||||
gzipped = gzip_encode(message_set)
|
||||
return Message(0, 0x00 | (KafkaProtocol.ATTRIBUTE_CODEC_MASK & KafkaProtocol.CODEC_GZIP), key, gzipped)
|
||||
[create_message(payload) for payload in payloads])
|
||||
|
||||
gzipped = gzip_encode(message_set)
|
||||
codec = KafkaProtocol.ATTRIBUTE_CODEC_MASK & KafkaProtocol.CODEC_GZIP
|
||||
|
||||
return Message(0, 0x00 | codec, key, gzipped)
|
||||
|
||||
|
||||
def create_snappy_message(payloads, key=None):
|
||||
"""
|
||||
@@ -450,6 +548,9 @@ def create_snappy_message(payloads, key=None):
|
||||
key: bytes, a key used for partition routing (optional)
|
||||
"""
|
||||
message_set = KafkaProtocol._encode_message_set(
|
||||
[create_message(payload) for payload in payloads])
|
||||
snapped = snappy_encode(message_set)
|
||||
return Message(0, 0x00 | (KafkaProtocol.ATTRIBUTE_CODEC_MASK & KafkaProtocol.CODEC_SNAPPY), key, snapped)
|
||||
[create_message(payload) for payload in payloads])
|
||||
|
||||
snapped = snappy_encode(message_set)
|
||||
codec = KafkaProtocol.ATTRIBUTE_CODEC_MASK & KafkaProtocol.CODEC_SNAPPY
|
||||
|
||||
return Message(0, 0x00 | codec, key, snapped)
|
||||
|
100
kafka/queue.py
100
kafka/queue.py
@@ -10,8 +10,10 @@ 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):
|
||||
def __init__(self, client, topic, partition, out_queue, barrier,
|
||||
consumer_fetch_size=1024, consumer_sleep=200):
|
||||
self.client = copy(client)
|
||||
self.topic = topic
|
||||
self.partition = partition
|
||||
@@ -23,29 +25,40 @@ class KafkaConsumerProcess(Process):
|
||||
Process.__init__(self)
|
||||
|
||||
def __str__(self):
|
||||
return "[KafkaConsumerProcess: topic=%s, partition=%s, sleep=%s]" % (
|
||||
self.topic, self.partition, self.consumer_sleep)
|
||||
return "[KafkaConsumerProcess: topic=%s, partition=%s, sleep=%s]" % \
|
||||
(self.topic, self.partition, self.consumer_sleep)
|
||||
|
||||
def run(self):
|
||||
self.barrier.wait()
|
||||
log.info("Starting %s" % self)
|
||||
fetchRequest = FetchRequest(self.topic, self.partition, offset=0, size=self.consumer_fetch_size)
|
||||
fetchRequest = FetchRequest(self.topic, self.partition,
|
||||
offset=0, size=self.consumer_fetch_size)
|
||||
|
||||
while True:
|
||||
if self.barrier.is_set() == False:
|
||||
if self.barrier.is_set() is False:
|
||||
log.info("Shutdown %s" % self)
|
||||
self.client.close()
|
||||
break
|
||||
|
||||
lastOffset = fetchRequest.offset
|
||||
(messages, fetchRequest) = self.client.get_message_set(fetchRequest)
|
||||
|
||||
if fetchRequest.offset == lastOffset:
|
||||
log.debug("No more data for this partition, sleeping a bit (200ms)")
|
||||
log.debug("No more data for this partition, "
|
||||
"sleeping a bit (200ms)")
|
||||
time.sleep(self.consumer_sleep)
|
||||
continue
|
||||
|
||||
for message in messages:
|
||||
self.out_queue.put(message)
|
||||
|
||||
|
||||
class KafkaProducerProcess(Process):
|
||||
def __init__(self, client, topic, in_queue, barrier, producer_flush_buffer=500, producer_flush_timeout=2000, producer_timeout=100):
|
||||
def __init__(self, client, topic, in_queue, barrier,
|
||||
producer_flush_buffer=500,
|
||||
producer_flush_timeout=2000,
|
||||
producer_timeout=100):
|
||||
|
||||
self.client = copy(client)
|
||||
self.topic = topic
|
||||
self.in_queue = in_queue
|
||||
@@ -57,8 +70,10 @@ class KafkaProducerProcess(Process):
|
||||
Process.__init__(self)
|
||||
|
||||
def __str__(self):
|
||||
return "[KafkaProducerProcess: topic=%s, flush_buffer=%s, flush_timeout=%s, timeout=%s]" % (
|
||||
self.topic, self.producer_flush_buffer, self.producer_flush_timeout, self.producer_timeout)
|
||||
return "[KafkaProducerProcess: topic=%s, flush_buffer=%s, \
|
||||
flush_timeout=%s, timeout=%s]" % (
|
||||
self.topic, self.producer_flush_buffer,
|
||||
self.producer_flush_timeout, self.producer_timeout)
|
||||
|
||||
def run(self):
|
||||
self.barrier.wait()
|
||||
@@ -67,36 +82,47 @@ class KafkaProducerProcess(Process):
|
||||
last_produce = time.time()
|
||||
|
||||
def flush(messages):
|
||||
self.client.send_message_set(ProduceRequest(self.topic, -1, messages))
|
||||
self.client.send_message_set(ProduceRequest(self.topic, -1,
|
||||
messages))
|
||||
del messages[:]
|
||||
|
||||
while True:
|
||||
if self.barrier.is_set() == False:
|
||||
if self.barrier.is_set() is False:
|
||||
log.info("Shutdown %s, flushing messages" % self)
|
||||
flush(messages)
|
||||
self.client.close()
|
||||
break
|
||||
|
||||
if len(messages) > self.producer_flush_buffer:
|
||||
log.debug("Message count threashold reached. Flushing messages")
|
||||
log.debug("Message count threshold reached. Flushing messages")
|
||||
flush(messages)
|
||||
last_produce = time.time()
|
||||
|
||||
elif (time.time() - last_produce) > self.producer_flush_timeout:
|
||||
log.debug("Producer timeout reached. Flushing messages")
|
||||
flush(messages)
|
||||
last_produce = time.time()
|
||||
|
||||
try:
|
||||
messages.append(KafkaClient.create_message(self.in_queue.get(True, self.producer_timeout)))
|
||||
msg = KafkaClient.create_message(self.in_queue.get(True,
|
||||
self.producer_timeout))
|
||||
messages.append(msg)
|
||||
|
||||
except Empty:
|
||||
continue
|
||||
|
||||
class KafkaQueue(object):
|
||||
def __init__(self, client, topic, partitions, producer_config={}, consumer_config={}):
|
||||
"""
|
||||
KafkaQueue a Queue-like object backed by a Kafka producer and some number of consumers
|
||||
|
||||
Messages are eagerly loaded by the consumer in batches of size consumer_fetch_size.
|
||||
Messages are buffered in the producer thread until producer_flush_timeout or
|
||||
producer_flush_buffer is reached.
|
||||
class KafkaQueue(object):
|
||||
def __init__(self, client, topic, partitions,
|
||||
producer_config=None, consumer_config=None):
|
||||
"""
|
||||
KafkaQueue a Queue-like object backed by a Kafka producer and some
|
||||
number of consumers
|
||||
|
||||
Messages are eagerly loaded by the consumer in batches of size
|
||||
consumer_fetch_size.
|
||||
Messages are buffered in the producer thread until
|
||||
producer_flush_timeout or producer_flush_buffer is reached.
|
||||
|
||||
Params
|
||||
======
|
||||
@@ -108,21 +134,26 @@ class KafkaQueue(object):
|
||||
|
||||
Consumer Config
|
||||
===============
|
||||
consumer_fetch_size: int, number of bytes to fetch in one call to Kafka. Default
|
||||
is 1024
|
||||
consumer_sleep: int, time in milliseconds a consumer should sleep when it reaches
|
||||
the end of a partition. Default is 200
|
||||
consumer_fetch_size: int, number of bytes to fetch in one call
|
||||
to Kafka. Default is 1024
|
||||
consumer_sleep: int, time in milliseconds a consumer should sleep
|
||||
when it reaches the end of a partition. Default is 200
|
||||
|
||||
Producer Config
|
||||
===============
|
||||
producer_timeout: int, time in milliseconds a producer should wait for messages to
|
||||
enqueue for producing. Default is 100
|
||||
producer_flush_timeout: int, time in milliseconds a producer should allow messages
|
||||
to accumulate before sending to Kafka. Default is 2000
|
||||
producer_flush_buffer: int, number of messages a producer should allow to accumulate.
|
||||
Default is 500
|
||||
|
||||
producer_timeout: int, time in milliseconds a producer should
|
||||
wait for messages to enqueue for producing.
|
||||
Default is 100
|
||||
producer_flush_timeout: int, time in milliseconds a producer
|
||||
should allow messages to accumulate before
|
||||
sending to Kafka. Default is 2000
|
||||
producer_flush_buffer: int, number of messages a producer should
|
||||
allow to accumulate. Default is 500
|
||||
|
||||
"""
|
||||
producer_config = {} if producer_config is None else producer_config
|
||||
consumer_config = {} if consumer_config is None else consumer_config
|
||||
|
||||
self.in_queue = Queue()
|
||||
self.out_queue = Queue()
|
||||
self.consumers = []
|
||||
@@ -130,12 +161,15 @@ class KafkaQueue(object):
|
||||
|
||||
# Initialize and start consumer threads
|
||||
for partition in partitions:
|
||||
consumer = KafkaConsumerProcess(client, topic, partition, self.in_queue, self.barrier, **consumer_config)
|
||||
consumer = KafkaConsumerProcess(client, topic, partition,
|
||||
self.in_queue, self.barrier,
|
||||
**consumer_config)
|
||||
consumer.start()
|
||||
self.consumers.append(consumer)
|
||||
|
||||
# Initialize and start producer thread
|
||||
self.producer = KafkaProducerProcess(client, topic, self.out_queue, self.barrier, **producer_config)
|
||||
self.producer = KafkaProducerProcess(client, topic, self.out_queue,
|
||||
self.barrier, **producer_config)
|
||||
self.producer.start()
|
||||
|
||||
# Trigger everything to start
|
||||
|
@@ -3,64 +3,81 @@ from itertools import groupby
|
||||
import struct
|
||||
from threading import Timer
|
||||
|
||||
|
||||
def write_int_string(s):
|
||||
if s is None:
|
||||
return struct.pack('>i', -1)
|
||||
else:
|
||||
return struct.pack('>i%ds' % len(s), len(s), s)
|
||||
|
||||
|
||||
def write_short_string(s):
|
||||
if s is None:
|
||||
return struct.pack('>h', -1)
|
||||
else:
|
||||
return struct.pack('>h%ds' % len(s), len(s), s)
|
||||
|
||||
|
||||
def read_short_string(data, cur):
|
||||
if len(data) < cur+2:
|
||||
if len(data) < cur + 2:
|
||||
raise BufferUnderflowError("Not enough data left")
|
||||
(strLen,) = struct.unpack('>h', data[cur:cur+2])
|
||||
|
||||
(strLen,) = struct.unpack('>h', data[cur:cur + 2])
|
||||
if strLen == -1:
|
||||
return (None, cur+2)
|
||||
return (None, cur + 2)
|
||||
|
||||
cur += 2
|
||||
if len(data) < cur+strLen:
|
||||
if len(data) < cur + strLen:
|
||||
raise BufferUnderflowError("Not enough data left")
|
||||
out = data[cur:cur+strLen]
|
||||
return (out, cur+strLen)
|
||||
|
||||
out = data[cur:cur + strLen]
|
||||
return (out, cur + strLen)
|
||||
|
||||
|
||||
def read_int_string(data, cur):
|
||||
if len(data) < cur+4:
|
||||
if len(data) < cur + 4:
|
||||
raise BufferUnderflowError("Not enough data left")
|
||||
(strLen,) = struct.unpack('>i', data[cur:cur+4])
|
||||
|
||||
(strLen,) = struct.unpack('>i', data[cur:cur + 4])
|
||||
if strLen == -1:
|
||||
return (None, cur+4)
|
||||
return (None, cur + 4)
|
||||
|
||||
cur += 4
|
||||
if len(data) < cur+strLen:
|
||||
if len(data) < cur + strLen:
|
||||
raise BufferUnderflowError("Not enough data left")
|
||||
out = data[cur:cur+strLen]
|
||||
return (out, cur+strLen)
|
||||
|
||||
out = data[cur:cur + strLen]
|
||||
return (out, cur + strLen)
|
||||
|
||||
|
||||
def relative_unpack(fmt, data, cur):
|
||||
size = struct.calcsize(fmt)
|
||||
if len(data) < cur+size:
|
||||
if len(data) < cur + size:
|
||||
raise BufferUnderflowError("Not enough data left")
|
||||
out = struct.unpack(fmt, data[cur:cur+size])
|
||||
return (out, cur+size)
|
||||
|
||||
out = struct.unpack(fmt, data[cur:cur + size])
|
||||
return (out, cur + size)
|
||||
|
||||
|
||||
def group_by_topic_and_partition(tuples):
|
||||
out = defaultdict(dict)
|
||||
for t in tuples:
|
||||
out[t.topic][t.partition] = t
|
||||
return out
|
||||
return out
|
||||
|
||||
|
||||
class BufferUnderflowError(Exception):
|
||||
pass
|
||||
|
||||
|
||||
class ChecksumError(Exception):
|
||||
pass
|
||||
|
||||
|
||||
class ReentrantTimer(object):
|
||||
"""
|
||||
A timer that can be restarted, unlike threading.Timer (although this uses threading.Timer)
|
||||
A timer that can be restarted, unlike threading.Timer
|
||||
(although this uses threading.Timer)
|
||||
|
||||
t: timer interval in milliseconds
|
||||
fn: a callable to invoke
|
||||
|
Reference in New Issue
Block a user