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-rw-r--r--kafka/consumer/base.py10
-rw-r--r--kafka/consumer/kafka.py226
-rw-r--r--kafka/consumer/multiprocess.py39
-rw-r--r--kafka/consumer/simple.py67
4 files changed, 190 insertions, 152 deletions
diff --git a/kafka/consumer/base.py b/kafka/consumer/base.py
index 2464aaf..9cdcf89 100644
--- a/kafka/consumer/base.py
+++ b/kafka/consumer/base.py
@@ -32,9 +32,11 @@ class Consumer(object):
Base class to be used by other consumers. Not to be used directly
This base class provides logic for
+
* initialization and fetching metadata of partitions
* Auto-commit logic
* APIs for fetching pending message count
+
"""
def __init__(self, client, group, topic, partitions=None, auto_commit=True,
auto_commit_every_n=AUTO_COMMIT_MSG_COUNT,
@@ -93,8 +95,9 @@ class Consumer(object):
"""
Commit offsets for this consumer
- partitions: list of partitions to commit, default is to commit
- all of them
+ Keyword Arguments:
+ partitions (list): list of partitions to commit, default is to commit
+ all of them
"""
# short circuit if nothing happened. This check is kept outside
@@ -148,7 +151,8 @@ class Consumer(object):
"""
Gets the pending message count
- partitions: list of partitions to check for, default is to check all
+ Keyword Arguments:
+ partitions (list): list of partitions to check for, default is to check all
"""
if not partitions:
partitions = self.offsets.keys()
diff --git a/kafka/consumer/kafka.py b/kafka/consumer/kafka.py
index f16b526..ae0f0b9 100644
--- a/kafka/consumer/kafka.py
+++ b/kafka/consumer/kafka.py
@@ -54,72 +54,78 @@ class KafkaConsumer(object):
"""
A simpler kafka consumer
- ```
- # A very basic 'tail' consumer, with no stored offset management
- kafka = KafkaConsumer('topic1')
- for m in kafka:
- print m
-
- # Alternate interface: next()
- print kafka.next()
-
- # Alternate interface: batch iteration
- while True:
- for m in kafka.fetch_messages():
- print m
- print "Done with batch - let's do another!"
- ```
-
- ```
- # more advanced consumer -- multiple topics w/ auto commit offset management
- kafka = KafkaConsumer('topic1', 'topic2',
- group_id='my_consumer_group',
- auto_commit_enable=True,
- auto_commit_interval_ms=30 * 1000,
- auto_offset_reset='smallest')
-
- # Infinite iteration
- for m in kafka:
- process_message(m)
- kafka.task_done(m)
-
- # Alternate interface: next()
- m = kafka.next()
- process_message(m)
- kafka.task_done(m)
-
- # If auto_commit_enable is False, remember to commit() periodically
- kafka.commit()
-
- # Batch process interface
- while True:
- for m in kafka.fetch_messages():
+ .. code:: python
+
+ # A very basic 'tail' consumer, with no stored offset management
+ kafka = KafkaConsumer('topic1')
+ for m in kafka:
+ print m
+
+ # Alternate interface: next()
+ print kafka.next()
+
+ # Alternate interface: batch iteration
+ while True:
+ for m in kafka.fetch_messages():
+ print m
+ print "Done with batch - let's do another!"
+
+
+ .. code:: python
+
+ # more advanced consumer -- multiple topics w/ auto commit offset management
+ kafka = KafkaConsumer('topic1', 'topic2',
+ group_id='my_consumer_group',
+ auto_commit_enable=True,
+ auto_commit_interval_ms=30 * 1000,
+ auto_offset_reset='smallest')
+
+ # Infinite iteration
+ for m in kafka:
+ process_message(m)
+ kafka.task_done(m)
+
+ # Alternate interface: next()
+ m = kafka.next()
process_message(m)
kafka.task_done(m)
- ```
+
+ # If auto_commit_enable is False, remember to commit() periodically
+ kafka.commit()
+
+ # Batch process interface
+ while True:
+ for m in kafka.fetch_messages():
+ process_message(m)
+ kafka.task_done(m)
+
messages (m) are namedtuples with attributes:
- m.topic: topic name (str)
- m.partition: partition number (int)
- m.offset: message offset on topic-partition log (int)
- m.key: key (bytes - can be None)
- m.value: message (output of deserializer_class - default is raw bytes)
+
+ * `m.topic`: topic name (str)
+ * `m.partition`: partition number (int)
+ * `m.offset`: message offset on topic-partition log (int)
+ * `m.key`: key (bytes - can be None)
+ * `m.value`: message (output of deserializer_class - default is raw bytes)
Configuration settings can be passed to constructor,
otherwise defaults will be used:
- client_id='kafka.consumer.kafka',
- group_id=None,
- fetch_message_max_bytes=1024*1024,
- fetch_min_bytes=1,
- fetch_wait_max_ms=100,
- refresh_leader_backoff_ms=200,
- metadata_broker_list=None,
- socket_timeout_ms=30*1000,
- auto_offset_reset='largest',
- deserializer_class=lambda msg: msg,
- auto_commit_enable=False,
- auto_commit_interval_ms=60 * 1000,
- consumer_timeout_ms=-1
+
+ .. code:: python
+
+ client_id='kafka.consumer.kafka',
+ group_id=None,
+ fetch_message_max_bytes=1024*1024,
+ fetch_min_bytes=1,
+ fetch_wait_max_ms=100,
+ refresh_leader_backoff_ms=200,
+ metadata_broker_list=None,
+ socket_timeout_ms=30*1000,
+ auto_offset_reset='largest',
+ deserializer_class=lambda msg: msg,
+ auto_commit_enable=False,
+ auto_commit_interval_ms=60 * 1000,
+ consumer_timeout_ms=-1
Configuration parameters are described in more detail at
http://kafka.apache.org/documentation.html#highlevelconsumerapi
@@ -133,6 +139,9 @@ class KafkaConsumer(object):
"""
Configuration settings can be passed to constructor,
otherwise defaults will be used:
+
+ .. code:: python
+
client_id='kafka.consumer.kafka',
group_id=None,
fetch_message_max_bytes=1024*1024,
@@ -189,28 +198,35 @@ class KafkaConsumer(object):
Optionally specify offsets to start from
Accepts types:
- str (utf-8): topic name (will consume all available partitions)
- tuple: (topic, partition)
- dict: { topic: partition }
- { topic: [partition list] }
- { topic: (partition tuple,) }
+
+ * str (utf-8): topic name (will consume all available partitions)
+ * tuple: (topic, partition)
+ * dict:
+ - { topic: partition }
+ - { topic: [partition list] }
+ - { topic: (partition tuple,) }
Optionally, offsets can be specified directly:
- tuple: (topic, partition, offset)
- dict: { (topic, partition): offset, ... }
- Ex:
- kafka = KafkaConsumer()
+ * tuple: (topic, partition, offset)
+ * dict: { (topic, partition): offset, ... }
+
+ Example:
+
+ .. code:: python
+
+ kafka = KafkaConsumer()
- # Consume topic1-all; topic2-partition2; topic3-partition0
- kafka.set_topic_partitions("topic1", ("topic2", 2), {"topic3": 0})
+ # Consume topic1-all; topic2-partition2; topic3-partition0
+ kafka.set_topic_partitions("topic1", ("topic2", 2), {"topic3": 0})
- # Consume topic1-0 starting at offset 123, and topic2-1 at offset 456
- # using tuples --
- kafka.set_topic_partitions(("topic1", 0, 123), ("topic2", 1, 456))
+ # Consume topic1-0 starting at offset 123, and topic2-1 at offset 456
+ # using tuples --
+ kafka.set_topic_partitions(("topic1", 0, 123), ("topic2", 1, 456))
+
+ # using dict --
+ kafka.set_topic_partitions({ ("topic1", 0): 123, ("topic2", 1): 456 })
- # using dict --
- kafka.set_topic_partitions({ ("topic1", 0): 123, ("topic2", 1): 456 })
"""
self._topics = []
self._client.load_metadata_for_topics()
@@ -309,10 +325,12 @@ class KafkaConsumer(object):
Otherwise blocks indefinitely
Note that this is also the method called internally during iteration:
- ```
- for m in consumer:
- pass
- ```
+
+ .. code:: python
+
+ for m in consumer:
+ pass
+
"""
self._set_consumer_timeout_start()
while True:
@@ -336,11 +354,12 @@ class KafkaConsumer(object):
OffsetOutOfRange, per the configured `auto_offset_reset` policy
Key configuration parameters:
- `fetch_message_max_bytes`
- `fetch_max_wait_ms`
- `fetch_min_bytes`
- `deserializer_class`
- `auto_offset_reset`
+
+ * `fetch_message_max_bytes`
+ * `fetch_max_wait_ms`
+ * `fetch_min_bytes`
+ * `deserializer_class`
+ * `auto_offset_reset`
"""
max_bytes = self._config['fetch_message_max_bytes']
@@ -418,20 +437,18 @@ class KafkaConsumer(object):
"""
Request available fetch offsets for a single topic/partition
- @param topic (str)
- @param partition (int)
- @param request_time_ms (int) -- Used to ask for all messages before a
- certain time (ms). There are two special
- values. Specify -1 to receive the latest
- offset (i.e. the offset of the next coming
- message) and -2 to receive the earliest
- available offset. Note that because offsets
- are pulled in descending order, asking for
- the earliest offset will always return you
- a single element.
- @param max_num_offsets (int)
-
- @return offsets (list)
+ Arguments:
+ topic (str)
+ partition (int)
+ request_time_ms (int): Used to ask for all messages before a
+ certain time (ms). There are two special values. Specify -1 to receive the latest
+ offset (i.e. the offset of the next coming message) and -2 to receive the earliest
+ available offset. Note that because offsets are pulled in descending order, asking for
+ the earliest offset will always return you a single element.
+ max_num_offsets (int)
+
+ Returns:
+ offsets (list)
"""
reqs = [OffsetRequest(topic, partition, request_time_ms, max_num_offsets)]
@@ -448,9 +465,12 @@ class KafkaConsumer(object):
def offsets(self, group=None):
"""
- Returns a copy of internal offsets struct
- optional param: group [fetch|commit|task_done|highwater]
- if no group specified, returns all groups
+ Keyword Arguments:
+ group: Either "fetch", "commit", "task_done", or "highwater".
+ If no group specified, returns all groups.
+
+ Returns:
+ A copy of internal offsets struct
"""
if not group:
return {
@@ -498,8 +518,8 @@ class KafkaConsumer(object):
Store consumed message offsets (marked via task_done())
to kafka cluster for this consumer_group.
- Note -- this functionality requires server version >=0.8.1.1
- see https://cwiki.apache.org/confluence/display/KAFKA/A+Guide+To+The+Kafka+Protocol#AGuideToTheKafkaProtocol-OffsetCommit/FetchAPI
+ **Note**: this functionality requires server version >=0.8.1.1
+ See `this wiki page <https://cwiki.apache.org/confluence/display/KAFKA/A+Guide+To+The+Kafka+Protocol#AGuideToTheKafkaProtocol-OffsetCommit/FetchAPI>`_.
"""
if not self._config['group_id']:
logger.warning('Cannot commit without a group_id!')
diff --git a/kafka/consumer/multiprocess.py b/kafka/consumer/multiprocess.py
index 912e64b..4dc04dc 100644
--- a/kafka/consumer/multiprocess.py
+++ b/kafka/consumer/multiprocess.py
@@ -80,19 +80,21 @@ class MultiProcessConsumer(Consumer):
A consumer implementation that consumes partitions for a topic in
parallel using multiple processes
- client: a connected KafkaClient
- group: a name for this consumer, used for offset storage and must be unique
- topic: the topic to consume
-
- auto_commit: default True. Whether or not to auto commit the offsets
- auto_commit_every_n: default 100. How many messages to consume
- before a commit
- auto_commit_every_t: default 5000. How much time (in milliseconds) to
- wait before commit
- num_procs: Number of processes to start for consuming messages.
- The available partitions will be divided among these processes
- partitions_per_proc: Number of partitions to be allocated per process
- (overrides num_procs)
+ Arguments:
+ client: a connected KafkaClient
+ group: a name for this consumer, used for offset storage and must be unique
+ topic: the topic to consume
+
+ Keyword Arguments:
+ auto_commit: default True. Whether or not to auto commit the offsets
+ auto_commit_every_n: default 100. How many messages to consume
+ before a commit
+ auto_commit_every_t: default 5000. How much time (in milliseconds) to
+ wait before commit
+ num_procs: Number of processes to start for consuming messages.
+ The available partitions will be divided among these processes
+ partitions_per_proc: Number of partitions to be allocated per process
+ (overrides num_procs)
Auto commit details:
If both auto_commit_every_n and auto_commit_every_t are set, they will
@@ -198,11 +200,12 @@ class MultiProcessConsumer(Consumer):
"""
Fetch the specified number of messages
- count: Indicates the maximum number of messages to be fetched
- block: If True, the API will block till some messages are fetched.
- timeout: If block is True, the function will block for the specified
- time (in seconds) until count messages is fetched. If None,
- it will block forever.
+ Keyword Arguments:
+ count: Indicates the maximum number of messages to be fetched
+ block: If True, the API will block till some messages are fetched.
+ timeout: If block is True, the function will block for the specified
+ time (in seconds) until count messages is fetched. If None,
+ it will block forever.
"""
messages = []
diff --git a/kafka/consumer/simple.py b/kafka/consumer/simple.py
index df975f4..000fcd9 100644
--- a/kafka/consumer/simple.py
+++ b/kafka/consumer/simple.py
@@ -67,24 +67,32 @@ class SimpleConsumer(Consumer):
A simple consumer implementation that consumes all/specified partitions
for a topic
- client: a connected KafkaClient
- group: a name for this consumer, used for offset storage and must be unique
- topic: the topic to consume
- partitions: An optional list of partitions to consume the data from
-
- auto_commit: default True. Whether or not to auto commit the offsets
- auto_commit_every_n: default 100. How many messages to consume
- before a commit
- auto_commit_every_t: default 5000. How much time (in milliseconds) to
- wait before commit
- fetch_size_bytes: number of bytes to request in a FetchRequest
- buffer_size: default 4K. Initial number of bytes to tell kafka we
- have available. This will double as needed.
- max_buffer_size: default 16K. Max number of bytes to tell kafka we have
- available. None means no limit.
- iter_timeout: default None. How much time (in seconds) to wait for a
- message in the iterator before exiting. None means no
- timeout, so it will wait forever.
+ Arguments:
+ client: a connected KafkaClient
+ group: a name for this consumer, used for offset storage and must be unique
+ topic: the topic to consume
+
+ Keyword Arguments:
+ partitions: An optional list of partitions to consume the data from
+
+ auto_commit: default True. Whether or not to auto commit the offsets
+
+ auto_commit_every_n: default 100. How many messages to consume
+ before a commit
+
+ auto_commit_every_t: default 5000. How much time (in milliseconds) to
+ wait before commit
+ fetch_size_bytes: number of bytes to request in a FetchRequest
+
+ buffer_size: default 4K. Initial number of bytes to tell kafka we
+ have available. This will double as needed.
+
+ max_buffer_size: default 16K. Max number of bytes to tell kafka we have
+ available. None means no limit.
+
+ iter_timeout: default None. How much time (in seconds) to wait for a
+ message in the iterator before exiting. None means no
+ timeout, so it will wait forever.
Auto commit details:
If both auto_commit_every_n and auto_commit_every_t are set, they will
@@ -133,11 +141,13 @@ class SimpleConsumer(Consumer):
"""
Alter the current offset in the consumer, similar to fseek
- offset: how much to modify the offset
- whence: where to modify it from
- 0 is relative to the earliest available offset (head)
- 1 is relative to the current offset
- 2 is relative to the latest known offset (tail)
+ Arguments:
+ offset: how much to modify the offset
+ whence: where to modify it from
+
+ * 0 is relative to the earliest available offset (head)
+ * 1 is relative to the current offset
+ * 2 is relative to the latest known offset (tail)
"""
if whence == 1: # relative to current position
@@ -180,11 +190,12 @@ class SimpleConsumer(Consumer):
"""
Fetch the specified number of messages
- count: Indicates the maximum number of messages to be fetched
- block: If True, the API will block till some messages are fetched.
- timeout: If block is True, the function will block for the specified
- time (in seconds) until count messages is fetched. If None,
- it will block forever.
+ Keyword Arguments:
+ count: Indicates the maximum number of messages to be fetched
+ block: If True, the API will block till some messages are fetched.
+ timeout: If block is True, the function will block for the specified
+ time (in seconds) until count messages is fetched. If None,
+ it will block forever.
"""
messages = []
if timeout is not None: