PEP8-ify most of the files

consumer.py and conn.py will be done later after pending merges
This commit is contained in:
Mahendra M
2013-05-29 14:20:58 +05:30
committed by David Arthur
parent 97962d4af3
commit 2c257eeb1f
7 changed files with 312 additions and 131 deletions

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@@ -4,7 +4,7 @@ __author__ = 'David Arthur'
__license__ = 'Apache License 2.0'
__copyright__ = 'Copyright 2012, David Arthur under Apache License, v2.0'
from kafka.client import KafkaClient
from kafka.client import KafkaClient
from kafka.conn import KafkaConnection
from kafka.protocol import (
create_message, create_gzip_message, create_snappy_message

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@@ -6,10 +6,11 @@ log = logging.getLogger("kafka.codec")
try:
import snappy
hasSnappy=True
hasSnappy = True
except ImportError:
log.warn("Snappy codec not available")
hasSnappy=False
hasSnappy = False
def gzip_encode(payload):
buf = StringIO()
@@ -21,6 +22,7 @@ def gzip_encode(payload):
buf.close()
return out
def gzip_decode(payload):
buf = StringIO(payload)
f = gzip.GzipFile(fileobj=buf, mode='r')
@@ -29,11 +31,13 @@ def gzip_decode(payload):
buf.close()
return out
def snappy_encode(payload):
if not hasSnappy:
raise NotImplementedError("Snappy codec not available")
return snappy.compress(payload)
def snappy_decode(payload):
if not hasSnappy:
raise NotImplementedError("Snappy codec not available")

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@@ -5,26 +5,49 @@ from collections import namedtuple
###############
# Request payloads
ProduceRequest = namedtuple("ProduceRequest", ["topic", "partition", "messages"])
FetchRequest = namedtuple("FetchRequest", ["topic", "partition", "offset", "max_bytes"])
OffsetRequest = namedtuple("OffsetRequest", ["topic", "partition", "time", "max_offsets"])
OffsetCommitRequest = namedtuple("OffsetCommitRequest", ["topic", "partition", "offset", "metadata"])
ProduceRequest = namedtuple("ProduceRequest",
["topic", "partition", "messages"])
FetchRequest = namedtuple("FetchRequest",
["topic", "partition", "offset", "max_bytes"])
OffsetRequest = namedtuple("OffsetRequest",
["topic", "partition", "time", "max_offsets"])
OffsetCommitRequest = namedtuple("OffsetCommitRequest",
["topic", "partition", "offset", "metadata"])
OffsetFetchRequest = namedtuple("OffsetFetchRequest", ["topic", "partition"])
# Response payloads
ProduceResponse = namedtuple("ProduceResponse", ["topic", "partition", "error", "offset"])
FetchResponse = namedtuple("FetchResponse", ["topic", "partition", "error", "highwaterMark", "messages"])
OffsetResponse = namedtuple("OffsetResponse", ["topic", "partition", "error", "offsets"])
OffsetCommitResponse = namedtuple("OffsetCommitResponse", ["topic", "partition", "error"])
OffsetFetchResponse = namedtuple("OffsetFetchResponse", ["topic", "partition", "offset", "metadata", "error"])
BrokerMetadata = namedtuple("BrokerMetadata", ["nodeId", "host", "port"])
PartitionMetadata = namedtuple("PartitionMetadata", ["topic", "partition", "leader", "replicas", "isr"])
ProduceResponse = namedtuple("ProduceResponse",
["topic", "partition", "error", "offset"])
# Other useful structs
FetchResponse = namedtuple("FetchResponse", ["topic", "partition", "error",
"highwaterMark", "messages"])
OffsetResponse = namedtuple("OffsetResponse",
["topic", "partition", "error", "offsets"])
OffsetCommitResponse = namedtuple("OffsetCommitResponse",
["topic", "partition", "error"])
OffsetFetchResponse = namedtuple("OffsetFetchResponse",
["topic", "partition", "offset",
"metadata", "error"])
BrokerMetadata = namedtuple("BrokerMetadata", ["nodeId", "host", "port"])
PartitionMetadata = namedtuple("PartitionMetadata",
["topic", "partition", "leader",
"replicas", "isr"])
# Other useful structs
OffsetAndMessage = namedtuple("OffsetAndMessage", ["offset", "message"])
Message = namedtuple("Message", ["magic", "attributes", "key", "value"])
TopicAndPartition = namedtuple("TopicAndPartition", ["topic", "partition"])
class ErrorMapping(object):
# Many of these are not actually used by the client
UNKNOWN = -1

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@@ -6,6 +6,7 @@ from kafka.protocol import create_message
log = logging.getLogger("kafka")
class SimpleProducer(object):
"""
A simple, round-robbin producer. Each message goes to exactly one partition
@@ -18,6 +19,7 @@ class SimpleProducer(object):
def send_messages(self, *msg):
req = ProduceRequest(self.topic, self.next_partition.next(),
messages=[create_message(m) for m in msg])
messages=[create_message(m) for m in msg])
resp = self.client.send_produce_request([req])[0]
assert resp.error == 0

View File

@@ -18,10 +18,12 @@ from kafka.util import (
log = logging.getLogger("kafka")
class KafkaProtocol(object):
"""
Class to encapsulate all of the protocol encoding/decoding. This class does not
have any state associated with it, it is purely for organization.
Class to encapsulate all of the protocol encoding/decoding.
This class does not have any state associated with it, it is purely
for organization.
"""
PRODUCE_KEY = 0
FETCH_KEY = 1
@@ -44,18 +46,18 @@ class KafkaProtocol(object):
"""
Encode the common request envelope
"""
return struct.pack('>hhih%ds' % len(client_id),
return struct.pack('>hhih%ds' % len(client_id),
request_key, # ApiKey
0, # ApiVersion
correlation_id, # CorrelationId
len(client_id), #
len(client_id),
client_id) # ClientId
@classmethod
def _encode_message_set(cls, messages):
"""
Encode a MessageSet. Unlike other arrays in the protocol, MessageSets are
not length-prefixed
Encode a MessageSet. Unlike other arrays in the protocol,
MessageSets are not length-prefixed
Format
======
@@ -66,7 +68,8 @@ class KafkaProtocol(object):
message_set = ""
for message in messages:
encoded_message = KafkaProtocol._encode_message(message)
message_set += struct.pack('>qi%ds' % len(encoded_message), 0, len(encoded_message), encoded_message)
message_set += struct.pack('>qi%ds' % len(encoded_message), 0,
len(encoded_message), encoded_message)
return message_set
@classmethod
@@ -74,10 +77,10 @@ class KafkaProtocol(object):
"""
Encode a single message.
The magic number of a message is a format version number. The only supported
magic number right now is zero
The magic number of a message is a format version number.
The only supported magic number right now is zero
Format
Format
======
Message => Crc MagicByte Attributes Key Value
Crc => int32
@@ -96,24 +99,27 @@ class KafkaProtocol(object):
raise Exception("Unexpected magic number: %d" % message.magic)
return msg
@classmethod
def _decode_message_set_iter(cls, data):
"""
Iteratively decode a MessageSet
Reads repeated elements of (offset, message), calling decode_message to decode a
single message. Since compressed messages contain futher MessageSets, these two methods
have been decoupled so that they may recurse easily.
Reads repeated elements of (offset, message), calling decode_message
to decode a single message. Since compressed messages contain futher
MessageSets, these two methods have been decoupled so that they may
recurse easily.
"""
cur = 0
while cur < len(data):
try:
((offset, ), cur) = relative_unpack('>q', data, cur)
(msg, cur) = read_int_string(data, cur)
for (offset, message) in KafkaProtocol._decode_message(msg, offset):
for (offset, message) in KafkaProtocol._decode_message(msg,
offset):
yield OffsetAndMessage(offset, message)
except BufferUnderflowError: # If we get a partial read of a message, stop
except BufferUnderflowError:
# If we get a partial read of a message, stop
raise StopIteration()
@classmethod
@@ -121,9 +127,10 @@ class KafkaProtocol(object):
"""
Decode a single Message
The only caller of this method is decode_message_set_iter. They are decoupled to
support nested messages (compressed MessageSets). The offset is actually read from
decode_message_set_iter (it is part of the MessageSet payload).
The only caller of this method is decode_message_set_iter.
They are decoupled to support nested messages (compressed MessageSets).
The offset is actually read from decode_message_set_iter (it is part
of the MessageSet payload).
"""
((crc, magic, att), cur) = relative_unpack('>iBB', data, 0)
if crc != zlib.crc32(data[4:]):
@@ -131,23 +138,29 @@ class KafkaProtocol(object):
(key, cur) = read_int_string(data, cur)
(value, cur) = read_int_string(data, cur)
if att & KafkaProtocol.ATTRIBUTE_CODEC_MASK == KafkaProtocol.CODEC_NONE:
codec = att & KafkaProtocol.ATTRIBUTE_CODEC_MASK
if codec == KafkaProtocol.CODEC_NONE:
yield (offset, Message(magic, att, key, value))
elif att & KafkaProtocol.ATTRIBUTE_CODEC_MASK == KafkaProtocol.CODEC_GZIP:
elif codec == KafkaProtocol.CODEC_GZIP:
gz = gzip_decode(value)
for (offset, message) in KafkaProtocol._decode_message_set_iter(gz):
yield (offset, message)
elif att & KafkaProtocol.ATTRIBUTE_CODEC_MASK == KafkaProtocol.CODEC_SNAPPY:
for (offset, msg) in KafkaProtocol._decode_message_set_iter(gz):
yield (offset, msg)
elif codec == KafkaProtocol.CODEC_SNAPPY:
snp = snappy_decode(value)
for (offset, message) in KafkaProtocol._decode_message_set_iter(snp):
yield (offset, message)
for (offset, msg) in KafkaProtocol._decode_message_set_iter(snp):
yield (offset, msg)
##################
# Public API #
##################
@classmethod
def encode_produce_request(cls, client_id, correlation_id, payloads=[], acks=1, timeout=1000):
def encode_produce_request(cls, client_id, correlation_id,
payloads=None, acks=1, timeout=1000):
"""
Encode some ProduceRequest structs
@@ -161,39 +174,53 @@ class KafkaProtocol(object):
1: written to disk by the leader
2+: waits for this many number of replicas to sync
-1: waits for all replicas to be in sync
timeout: Maximum time the server will wait for acks from replicas. This is _not_ a socket timeout
timeout: Maximum time the server will wait for acks from replicas.
This is _not_ a socket timeout
"""
payloads = [] if payloads is None else payloads
grouped_payloads = group_by_topic_and_partition(payloads)
message = cls._encode_message_header(client_id, correlation_id, KafkaProtocol.PRODUCE_KEY)
message = cls._encode_message_header(client_id, correlation_id,
KafkaProtocol.PRODUCE_KEY)
message += struct.pack('>hii', acks, timeout, len(grouped_payloads))
for topic, topic_payloads in grouped_payloads.items():
message += struct.pack('>h%dsi' % len(topic), len(topic), topic, len(topic_payloads))
message += struct.pack('>h%dsi' % len(topic),
len(topic), topic, len(topic_payloads))
for partition, payload in topic_payloads.items():
message_set = KafkaProtocol._encode_message_set(payload.messages)
message += struct.pack('>ii%ds' % len(message_set), partition, len(message_set), message_set)
msg_set = KafkaProtocol._encode_message_set(payload.messages)
message += struct.pack('>ii%ds' % len(msg_set), partition,
len(msg_set), msg_set)
return struct.pack('>i%ds' % len(message), len(message), message)
@classmethod
def decode_produce_response(cls, data):
"""
Decode bytes to a ProduceResponse
Decode bytes to a ProduceResponse
Params
======
data: bytes to decode
"""
((correlation_id, num_topics), cur) = relative_unpack('>ii', data, 0)
for i in range(num_topics):
((strlen,), cur) = relative_unpack('>h', data, cur)
topic = data[cur:cur+strlen]
topic = data[cur:cur + strlen]
cur += strlen
((num_partitions,), cur) = relative_unpack('>i', data, cur)
for i in range(num_partitions):
((partition, error, offset), cur) = relative_unpack('>ihq', data, cur)
((partition, error, offset), cur) = relative_unpack('>ihq',
data, cur)
yield ProduceResponse(topic, partition, error, offset)
@classmethod
def encode_fetch_request(cls, client_id, correlation_id, payloads=[], max_wait_time=100, min_bytes=4096):
def encode_fetch_request(cls, client_id, correlation_id, payloads=None,
max_wait_time=100, min_bytes=4096):
"""
Encodes some FetchRequest structs
@@ -203,17 +230,27 @@ class KafkaProtocol(object):
correlation_id: string
payloads: list of FetchRequest
max_wait_time: int, how long to block waiting on min_bytes of data
min_bytes: int, the minimum number of bytes to accumulate before returning the response
min_bytes: int, the minimum number of bytes to accumulate before
returning the response
"""
payloads = [] if payloads is None else payloads
grouped_payloads = group_by_topic_and_partition(payloads)
message = cls._encode_message_header(client_id, correlation_id, KafkaProtocol.FETCH_KEY)
message += struct.pack('>iiii', -1, max_wait_time, min_bytes, len(grouped_payloads)) # -1 is the replica id
message = cls._encode_message_header(client_id, correlation_id,
KafkaProtocol.FETCH_KEY)
# -1 is the replica id
message += struct.pack('>iiii', -1, max_wait_time, min_bytes,
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('>iqi', partition, payload.offset, payload.max_bytes)
message += struct.pack('>iqi', partition, payload.offset,
payload.max_bytes)
return struct.pack('>i%ds' % len(message), len(message), message)
@classmethod
@@ -226,25 +263,41 @@ class KafkaProtocol(object):
data: bytes to decode
"""
((correlation_id, num_topics), cur) = relative_unpack('>ii', data, 0)
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, error, highwater_mark_offset), cur) = relative_unpack('>ihq', data, cur)
((partition, error, highwater_mark_offset), cur) = \
relative_unpack('>ihq', data, cur)
(message_set, cur) = read_int_string(data, cur)
yield FetchResponse(topic, partition, error, highwater_mark_offset,
yield FetchResponse(
topic, partition, error,
highwater_mark_offset,
KafkaProtocol._decode_message_set_iter(message_set))
@classmethod
def encode_offset_request(cls, client_id, correlation_id, payloads=[]):
def encode_offset_request(cls, client_id, correlation_id, payloads=None):
payloads = [] if payloads is None else payloads
grouped_payloads = group_by_topic_and_partition(payloads)
message = cls._encode_message_header(client_id, correlation_id, KafkaProtocol.OFFSET_KEY)
message += struct.pack('>ii', -1, len(grouped_payloads)) # -1 is the replica id
message = cls._encode_message_header(client_id, correlation_id,
KafkaProtocol.OFFSET_KEY)
# -1 is the replica id
message += struct.pack('>ii', -1, 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('>iqi', partition, payload.time, payload.max_offsets)
message += struct.pack('>iqi', partition, payload.time,
payload.max_offsets)
return struct.pack('>i%ds' % len(message), len(message), message)
@classmethod
@@ -257,19 +310,24 @@ class KafkaProtocol(object):
data: bytes to decode
"""
((correlation_id, num_topics), cur) = relative_unpack('>ii', data, 0)
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, error, num_offsets,), cur) = relative_unpack('>ihi', data, cur)
((partition, error, num_offsets,), cur) = \
relative_unpack('>ihi', data, cur)
offsets = []
for j in range(num_offsets):
((offset,), cur) = relative_unpack('>q', data, cur)
offsets.append(offset)
yield OffsetResponse(topic, partition, error, tuple(offsets))
@classmethod
def encode_metadata_request(cls, client_id, correlation_id, topics=[]):
def encode_metadata_request(cls, client_id, correlation_id, topics=None):
"""
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)

View File

@@ -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

View File

@@ -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