647 lines
23 KiB
Python
647 lines
23 KiB
Python
import logging
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import struct
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import six
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from six.moves import xrange
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from monasca_common.kafka_lib.codec import (
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gzip_encode, gzip_decode, snappy_encode, snappy_decode
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)
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from monasca_common.kafka_lib.common import (
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Message, OffsetAndMessage, TopicAndPartition,
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BrokerMetadata, TopicMetadata, PartitionMetadata,
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MetadataResponse, ProduceResponse, FetchResponse,
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OffsetResponse, OffsetCommitResponse, OffsetFetchResponse,
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ProtocolError, BufferUnderflowError, ChecksumError,
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ConsumerFetchSizeTooSmall, UnsupportedCodecError,
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ConsumerMetadataResponse
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)
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from monasca_common.kafka_lib.util import (
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crc32, read_short_string, read_int_string, relative_unpack,
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write_short_string, write_int_string, group_by_topic_and_partition
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)
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log = logging.getLogger(__name__)
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ATTRIBUTE_CODEC_MASK = 0x03
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CODEC_NONE = 0x00
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CODEC_GZIP = 0x01
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CODEC_SNAPPY = 0x02
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ALL_CODECS = (CODEC_NONE, CODEC_GZIP, CODEC_SNAPPY)
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class KafkaProtocol(object):
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"""
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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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OFFSET_KEY = 2
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METADATA_KEY = 3
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OFFSET_COMMIT_KEY = 8
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OFFSET_FETCH_KEY = 9
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CONSUMER_METADATA_KEY = 10
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###################
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# Private API #
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###################
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@classmethod
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def _encode_message_header(cls, client_id, correlation_id, request_key,
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version=0):
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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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request_key, # ApiKey
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version, # ApiVersion
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correlation_id, # CorrelationId
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len(client_id), # ClientId size
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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,
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MessageSets are not length-prefixed
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Format
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======
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MessageSet => [Offset MessageSize Message]
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Offset => int64
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MessageSize => int32
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"""
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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.append(struct.pack('>qi%ds' % len(encoded_message), 0,
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len(encoded_message),
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encoded_message))
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return b''.join(message_set)
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@classmethod
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def _encode_message(cls, message):
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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.
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The only supported magic number right now is zero
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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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MagicByte => int8
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Attributes => int8
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Key => bytes
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Value => bytes
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"""
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if message.magic == 0:
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msg = b''.join([
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struct.pack('>BB', message.magic, message.attributes),
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write_int_string(message.key),
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write_int_string(message.value)
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])
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crc = crc32(msg)
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msg = struct.pack('>I%ds' % len(msg), crc, msg)
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else:
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raise ProtocolError("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
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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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read_message = False
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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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read_message = True
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yield OffsetAndMessage(offset, message)
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except BufferUnderflowError:
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# NOTE: Not sure this is correct error handling:
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# Is it possible to get a BUE if the message set is somewhere
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# in the middle of the fetch response? If so, we probably have
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# an issue that's not fetch size too small.
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# Aren't we ignoring errors if we fail to unpack data by
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# raising StopIteration()?
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# If _decode_message() raises a ChecksumError, couldn't that
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# also be due to the fetch size being too small?
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if read_message is False:
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# If we get a partial read of a message, but haven't
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# yielded anything there's a problem
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raise ConsumerFetchSizeTooSmall()
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else:
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raise StopIteration()
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@classmethod
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def _decode_message(cls, data, offset):
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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.
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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 != crc32(data[4:]):
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raise ChecksumError("Message checksum failed")
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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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codec = att & ATTRIBUTE_CODEC_MASK
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if codec == CODEC_NONE:
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yield (offset, Message(magic, att, key, value))
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elif codec == CODEC_GZIP:
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gz = gzip_decode(value)
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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 == CODEC_SNAPPY:
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snp = snappy_decode(value)
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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,
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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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Arguments:
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client_id: string
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correlation_id: int
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payloads: list of ProduceRequest
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acks: How "acky" you want the request to be
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0: immediate response
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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.
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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 = []
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message.append(cls._encode_message_header(client_id, correlation_id,
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KafkaProtocol.PRODUCE_KEY))
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message.append(struct.pack('>hii', acks, timeout,
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len(grouped_payloads)))
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for topic, topic_payloads in grouped_payloads.items():
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message.append(struct.pack('>h%dsi' % len(topic), len(topic), topic,
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len(topic_payloads)))
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for partition, payload in topic_payloads.items():
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msg_set = KafkaProtocol._encode_message_set(payload.messages)
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message.append(struct.pack('>ii%ds' % len(msg_set), partition,
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len(msg_set), msg_set))
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msg = b''.join(message)
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return struct.pack('>i%ds' % len(msg), len(msg), msg)
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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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Arguments:
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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 _ 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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cur += strlen
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((num_partitions,), cur) = relative_unpack('>i', data, cur)
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for _ in range(num_partitions):
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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=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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Arguments:
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client_id: string
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correlation_id: int
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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
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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 = []
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message.append(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.append(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.append(write_short_string(topic))
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message.append(struct.pack('>i', len(topic_payloads)))
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for partition, payload in topic_payloads.items():
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message.append(struct.pack('>iqi', partition, payload.offset,
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payload.max_bytes))
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msg = b''.join(message)
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return struct.pack('>i%ds' % len(msg), len(msg), msg)
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@classmethod
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def decode_fetch_response(cls, data):
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"""
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Decode bytes to a FetchResponse
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Arguments:
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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 _ 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 j in range(num_partitions):
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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(
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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=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 = []
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message.append(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.append(struct.pack('>ii', -1, len(grouped_payloads)))
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for topic, topic_payloads in grouped_payloads.items():
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message.append(write_short_string(topic))
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message.append(struct.pack('>i', len(topic_payloads)))
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for partition, payload in topic_payloads.items():
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message.append(struct.pack('>iqi', partition, payload.time,
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payload.max_offsets))
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msg = b''.join(message)
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return struct.pack('>i%ds' % len(msg), len(msg), msg)
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@classmethod
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def decode_offset_response(cls, data):
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"""
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Decode bytes to an OffsetResponse
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Arguments:
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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 _ 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 _ in range(num_partitions):
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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 k 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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@classmethod
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def encode_metadata_request(cls, client_id, correlation_id, topics=None,
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payloads=None):
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"""
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Encode a MetadataRequest
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Arguments:
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client_id: string
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correlation_id: int
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topics: list of strings
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"""
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if payloads is None:
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topics = [] if topics is None else topics
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else:
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topics = payloads
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message = []
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message.append(cls._encode_message_header(client_id, correlation_id,
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KafkaProtocol.METADATA_KEY))
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message.append(struct.pack('>i', len(topics)))
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for topic in topics:
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message.append(struct.pack('>h%ds' % len(topic), len(topic), topic))
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msg = b''.join(message)
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return write_int_string(msg)
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@classmethod
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def decode_metadata_response(cls, data):
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"""
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Decode bytes to a MetadataResponse
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Arguments:
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data: bytes to decode
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"""
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((correlation_id, numbrokers), cur) = relative_unpack('>ii', data, 0)
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# Broker info
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brokers = []
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for _ in range(numbrokers):
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((nodeId, ), cur) = relative_unpack('>i', data, cur)
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(host, cur) = read_short_string(data, cur)
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((port,), cur) = relative_unpack('>i', data, cur)
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brokers.append(BrokerMetadata(nodeId, host, port))
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# Topic info
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((num_topics,), cur) = relative_unpack('>i', data, cur)
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topic_metadata = []
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for _ in range(num_topics):
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((topic_error,), cur) = relative_unpack('>h', data, cur)
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(topic_name, cur) = read_short_string(data, cur)
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((num_partitions,), cur) = relative_unpack('>i', data, cur)
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partition_metadata = []
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for _ in range(num_partitions):
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((partition_error_code, partition, leader, numReplicas), cur) = \
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relative_unpack('>hiii', data, cur)
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(replicas, cur) = relative_unpack(
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'>%di' % numReplicas, data, cur)
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((num_isr,), cur) = relative_unpack('>i', data, cur)
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(isr, cur) = relative_unpack('>%di' % num_isr, data, cur)
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partition_metadata.append(
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PartitionMetadata(topic_name, partition, leader,
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replicas, isr, partition_error_code)
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)
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topic_metadata.append(
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TopicMetadata(topic_name, topic_error, partition_metadata)
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)
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return MetadataResponse(brokers, topic_metadata)
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@classmethod
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def encode_consumer_metadata_request(cls, client_id, correlation_id, payloads):
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"""
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Encode a ConsumerMetadataRequest
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Arguments:
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client_id: string
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correlation_id: int
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payloads: string (consumer group)
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"""
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message = []
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message.append(cls._encode_message_header(client_id, correlation_id,
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KafkaProtocol.CONSUMER_METADATA_KEY))
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message.append(struct.pack('>h%ds' % len(payloads), len(payloads), payloads))
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msg = b''.join(message)
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return write_int_string(msg)
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@classmethod
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def decode_consumer_metadata_response(cls, data):
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"""
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Decode bytes to a ConsumerMetadataResponse
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Arguments:
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data: bytes to decode
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"""
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((correlation_id, error, nodeId), cur) = relative_unpack('>ihi', data, 0)
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(host, cur) = read_short_string(data, cur)
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((port,), cur) = relative_unpack('>i', data, cur)
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return ConsumerMetadataResponse(error, nodeId, host, port)
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@classmethod
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def encode_offset_commit_request(cls, client_id, correlation_id,
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group, payloads):
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"""
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Encode some OffsetCommitRequest structs
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Arguments:
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client_id: string
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correlation_id: int
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group: string, the consumer group you are committing offsets for
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payloads: list of OffsetCommitRequest
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"""
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grouped_payloads = group_by_topic_and_partition(payloads)
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message = []
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message.append(cls._encode_message_header(client_id, correlation_id,
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KafkaProtocol.OFFSET_COMMIT_KEY))
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message.append(write_short_string(group))
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message.append(struct.pack('>i', len(grouped_payloads)))
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for topic, topic_payloads in grouped_payloads.items():
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message.append(write_short_string(topic))
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message.append(struct.pack('>i', len(topic_payloads)))
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for partition, payload in topic_payloads.items():
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message.append(struct.pack('>iq', partition, payload.offset))
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message.append(write_short_string(payload.metadata))
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msg = b''.join(message)
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return struct.pack('>i%ds' % len(msg), len(msg), msg)
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@classmethod
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def decode_offset_commit_response(cls, data):
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"""
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Decode bytes to an OffsetCommitResponse
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Arguments:
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data: bytes to decode
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"""
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((correlation_id,), cur) = relative_unpack('>i', data, 0)
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((num_topics,), cur) = relative_unpack('>i', data, cur)
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for _ in xrange(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 _ in xrange(num_partitions):
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((partition, error), cur) = relative_unpack('>ih', data, cur)
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yield OffsetCommitResponse(topic, partition, error)
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@classmethod
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def encode_offset_fetch_request(cls, client_id, correlation_id,
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group, payloads, from_kafka=False):
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"""
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Encode some OffsetFetchRequest structs. The request is encoded using
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version 0 if from_kafka is false, indicating a request for Zookeeper
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offsets. It is encoded using version 1 otherwise, indicating a request
|
|
for Kafka offsets.
|
|
|
|
Arguments:
|
|
client_id: string
|
|
correlation_id: int
|
|
group: string, the consumer group you are fetching offsets for
|
|
payloads: list of OffsetFetchRequest
|
|
from_kafka: bool, default False, set True for Kafka-committed offsets
|
|
"""
|
|
grouped_payloads = group_by_topic_and_partition(payloads)
|
|
|
|
message = []
|
|
reqver = 1 if from_kafka else 0
|
|
message.append(cls._encode_message_header(client_id, correlation_id,
|
|
KafkaProtocol.OFFSET_FETCH_KEY,
|
|
version=reqver))
|
|
|
|
message.append(write_short_string(group))
|
|
message.append(struct.pack('>i', len(grouped_payloads)))
|
|
|
|
for topic, topic_payloads in grouped_payloads.items():
|
|
message.append(write_short_string(topic))
|
|
message.append(struct.pack('>i', len(topic_payloads)))
|
|
|
|
for partition, payload in topic_payloads.items():
|
|
message.append(struct.pack('>i', partition))
|
|
|
|
msg = b''.join(message)
|
|
return struct.pack('>i%ds' % len(msg), len(msg), msg)
|
|
|
|
@classmethod
|
|
def decode_offset_fetch_response(cls, data):
|
|
"""
|
|
Decode bytes to an OffsetFetchResponse
|
|
|
|
Arguments:
|
|
data: bytes to decode
|
|
"""
|
|
|
|
((correlation_id,), cur) = relative_unpack('>i', data, 0)
|
|
((num_topics,), cur) = relative_unpack('>i', data, cur)
|
|
|
|
for _ in range(num_topics):
|
|
(topic, cur) = read_short_string(data, cur)
|
|
((num_partitions,), cur) = relative_unpack('>i', data, cur)
|
|
|
|
for _ 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)
|
|
|
|
|
|
def create_message(payload, key=None):
|
|
"""
|
|
Construct a Message
|
|
|
|
Arguments:
|
|
payload: bytes, the payload to send to Kafka
|
|
key: bytes, a key used for partition routing (optional)
|
|
|
|
"""
|
|
return Message(0, 0, key, payload)
|
|
|
|
|
|
def create_gzip_message(payloads, key=None, compresslevel=None):
|
|
"""
|
|
Construct a Gzipped Message containing multiple Messages
|
|
|
|
The given payloads will be encoded, compressed, and sent as a single atomic
|
|
message to Kafka.
|
|
|
|
Arguments:
|
|
payloads: list(bytes), a list of payload to send be sent to Kafka
|
|
key: bytes, a key used for partition routing (optional)
|
|
|
|
"""
|
|
message_set = KafkaProtocol._encode_message_set(
|
|
[create_message(payload, pl_key) for payload, pl_key in payloads])
|
|
|
|
gzipped = gzip_encode(message_set, compresslevel=compresslevel)
|
|
codec = ATTRIBUTE_CODEC_MASK & CODEC_GZIP
|
|
|
|
return Message(0, 0x00 | codec, key, gzipped)
|
|
|
|
|
|
def create_snappy_message(payloads, key=None):
|
|
"""
|
|
Construct a Snappy Message containing multiple Messages
|
|
|
|
The given payloads will be encoded, compressed, and sent as a single atomic
|
|
message to Kafka.
|
|
|
|
Arguments:
|
|
payloads: list(bytes), a list of payload to send be sent to Kafka
|
|
key: bytes, a key used for partition routing (optional)
|
|
|
|
"""
|
|
message_set = KafkaProtocol._encode_message_set(
|
|
[create_message(payload, pl_key) for payload, pl_key in payloads])
|
|
|
|
snapped = snappy_encode(message_set)
|
|
codec = ATTRIBUTE_CODEC_MASK & CODEC_SNAPPY
|
|
|
|
return Message(0, 0x00 | codec, key, snapped)
|
|
|
|
|
|
def create_message_set(messages, codec=CODEC_NONE, key=None, compresslevel=None):
|
|
"""Create a message set using the given codec.
|
|
|
|
If codec is CODEC_NONE, return a list of raw Kafka messages. Otherwise,
|
|
return a list containing a single codec-encoded message.
|
|
"""
|
|
if codec == CODEC_NONE:
|
|
return [create_message(m, k) for m, k in messages]
|
|
elif codec == CODEC_GZIP:
|
|
return [create_gzip_message(messages, key, compresslevel)]
|
|
elif codec == CODEC_SNAPPY:
|
|
return [create_snappy_message(messages, key)]
|
|
else:
|
|
raise UnsupportedCodecError("Codec 0x%02x unsupported" % codec)
|