我对GCP发布/订阅者消息确认有问题。我编写了三个类：PubSubPublisher（发布到主题），PubSubSubscriber（从订阅和从索引接收到Elasticsearch）和ElasticDailyIndexManager（Thread）。那就是我对他们的看法：
我使用PubSubPublisher将10万条虚拟消息发布到我的主题（每秒大约处理1万条消息）。
我第一次运行PubSubSubscriber.receive_and_index（）。在处理消息时，它还会使用10个ElasticDailyIndexManager线程将其索引到Elasticsearch中。基本上，我连接到订阅并读取（和编制索引）60秒钟，然后退出。将100k索引到Elasticsearch中（每秒大约有1.5k条消息）。
我第二次运行PubSubSubscriber.receive_and_index（）-我希望不会对任何内容建立索引，但是，大约有4万个新文档被建立了索引（elasticsearch中的ID是随机的）。
有时需要大约3-4次运行才能清空订阅，因此我想确认消息存在问题，但是在运行时没有错误。我将数据与message.message_id一起建立索引，很明显，我有多行具有相同的message_id。
我看不出订户不会引发任何错误的原因而导致订阅者无法确认的原因。我已经为订阅设置了30秒的确认超时时间，但这没有帮助。
下面提到的类的代码：
class ProcessFutures(Thread):
def __init__(self, futures_queue):
Thread.__init__(self)
self.queue = futures_queue
self.counter = 0
self.results = list()
self.daemon = True
self.start()
def run(self):
while getattr(self, 'keep_going', True):
future = self.queue.get()
self.results.append(future.result())
self.queue.task_done()
class PubSubPublisher:
def __init__(self, project_id, topic_name):
self.client = pubsub_v1.PublisherClient()
self.project_id = project_id
self.topic_name = topic_name
self.keep_going = True
self.futures_queue = Queue()
self.future_process = ProcessFutures(self.futures_queue)
def publish_message(self, message_body):
"""
Publishes message to a Pub/Sub topic.
future.result is verified in separate thread to avoid blocking of message publishing.
"""
topic_path = self.client.topic_path(self.project_id, self.topic_name)
if isinstance(message_body, dict):
data = dumps(message_body)
elif isinstance(message_body, str):
data = message_body
else:
raise BaseException
data = data.encode('utf-8')
future = self.client.publish(topic_path, data=data)
self.futures_queue.put(future)
def finish(self):
self.future_process.queue.join()
print("Processed results: " + str(len(self.future_process.results)))
@click.command()
@click.option('--project-id', '-p', required=True, type=str, help='Google Cloud Platform Project Id')
@click.option('--topic', '-t', required=True, type=str, help='Pub/Sub Topic to which messages will be published')
@click.option('--message', '-m', required=True, type=str, help='Message body')
@click.option('--amount', '-a', required=True, type=int, help='How many messages to send')
def run(project_id, topic, message, amount):
from time import time
psp = PubSubPublisher(project_id, topic)
time_start = time()
for i in range(amount):
message_body = dict(i=i, message=message)
psp.publish_message(message_body)
psp.finish()
time_stop = time()
seconds = time_stop - time_start
print("Published {} messages in {:.2f} seconds. That is {:.2f} mps!".format(amount, seconds,
amount / seconds))
from elasticsearch import Elasticsearch, ElasticsearchException, NotFoundError, helpers
from datetime import datetime
from json import load
from threading import Thread
from queue import Queue
from os import getenv
from config import BASE_PATH
class ElasticDailyIndexManager(Thread):
def __init__(self, index_basename):
Thread.__init__(self)
es_port = 9200 if ElasticDailyIndexManager.str_to_bool(getenv("RUNNING_IN_CONTAINER", "False")) else 9201
es_url = "elastic" if ElasticDailyIndexManager.str_to_bool(getenv("RUNNING_IN_CONTAINER", "False")) else "localhost"
self.es = Elasticsearch(hosts=[es_url], port=es_port)
self.index_template_name = index_basename
self.index_name_mask = index_basename if index_basename.endswith("-") else index_basename + "-"
while not self._template_exists():
self._register_index_template()
self.queue = Queue()
self.daemon = True
self.start()
def run(self):
def generator():
while True:
message_body, message_id = self.queue.get()
metadata = dict()
self.queue.task_done()
yield self._prepare_bulk_doc(message_body, **metadata)
bulk_load = helpers.streaming_bulk(self.es, generator(), 10, yield_ok=False)
while True:
for success, info in bulk_load:
print(success, info)
def index_document(self, document_body, id=None):
document_body['@timestamp'] = datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%S')
try:
self.es.index(index=self.index_name_mask + datetime.utcnow().strftime('%Y.%m.%d'),
doc_type='default',
body=document_body,
id=id)
except ElasticsearchException as e:
print(document_body, id, e.args)
def _register_index_template(self):
template_body = self._get_json_file_content("{}/config/templates/{}.json".format(BASE_PATH,
self.index_template_name))
try:
if template_body is not None:
self.es.indices.put_template(name=self.index_template_name,
body=template_body,
master_timeout="60s")
except ElasticsearchException as e:
print(e.args)
def _template_exists(self):
try:
self.es.indices.get_template(self.index_template_name)
return True
except NotFoundError:
return False
@staticmethod
def _get_json_file_content(file_dir_arg):
"""
Wrapper on load function. Expects file with JSON inside.
:param file_dir_arg: Path to file to be read.
:return: Dictionary (Encoded JSON)
"""
result = None
try:
with open(file_dir_arg, 'r', encoding='UTF-8-SIG') as f:
result_tmp = f
result = load(result_tmp)
except Exception as e:
print(e.args)
return result
def _prepare_bulk_doc(self, source_arg, **kwargs):
"""
Function providing unified document structure for indexing in elasticsearch.
The structure needs to be compliant with
:param index_arg: index to which send data
:param doc_type_arg: document type in index_arg
:param source_arg: body of document
:param kwargs: additional meta parameters (like doc _id)
:return: Reformatted & enhanced source_arg
"""
metadata = dict(**kwargs).get('metadata', dict())
source_arg['@timestamp'] = datetime.utcnow().strftime('%Y-%m-%dT%H:%M:%S')
result = {
'_index': self.index_name_mask + datetime.utcnow().strftime('%Y.%m.%d'),
'_type': 'default',
'_op_type': 'index',
'doc': source_arg,
'doc_as_upsert': False
}
result.update(metadata)
return result
@staticmethod
def str_to_bool(str_arg):
if str_arg.lower() == 'true':
return True
elif str_arg.lower() == 'false':
return False
else:
return None
ELASTIC_MANAGERS = environ.get("ElASTIC_MANAGERS", 10)
class PubSubSubscriber:
def __init__(self, project_id_arg, topic_name_arg, seconds_arg=None):
self.elasticsearch_index_managers = list()
for _ in range(ELASTIC_MANAGERS):
self.elasticsearch_index_managers.append(ElasticDailyIndexManager(topic_name_arg))
self.project_id = project_id_arg
self.topic_name = topic_name_arg
self.client = pubsub_v1.SubscriberClient()
self.counter = 0
self.latencies = list()
self.seconds = seconds_arg
self.lock = Lock()
def receive_and_index(self):
subscription_path = self.client.subscription_path(self.project_id,
"{}-subscription-elastic".format(self.topic_name))
def callback(message):
latency = message._received_timestamp - message.publish_time.timestamp()
document = PubSubSubscriber.struct_message(message.data)
document['message_id'] = message.message_id
self.elasticsearch_index_managers[self.counter % ELASTIC_MANAGERS].queue.put((document, None))
message.ack()
if self.seconds:
self.latencies.append(latency)
self.counter += 1
future = self.client.subscribe(subscription_path, callback=callback)
try:
# When timeout is unspecified, the result method waits indefinitely.
print('Listening for messages on {}'.format(subscription_path))
print('Running for{}'.format(' ' + str(self.seconds) + 'seconds...' if self.seconds else 'ever'))
future.result(timeout=self.seconds)
except Exception as e:
print('Listening for messages on {} threw an Exception: {}.'.format(subscription_path, e))
finally:
time_queue_join_start = time()
for manager in self.elasticsearch_index_managers:
manager.queue.join()
time_queue_join_stop = time()
self.seconds = self.seconds + time_queue_join_stop - time_queue_join_start
print("Read {} messages in {:.2f} seconds. That is {:.2f} mps!".format(self.counter, self.seconds,
self.counter / self.seconds))
if self.latencies:
avg_latency = float(sum(self.latencies)) / float(len(self.latencies))
print("Average latency was {:.2f} ms.".format(avg_latency))
@staticmethod
def struct_message(message_arg, encoding='utf-8'):
if isinstance(message_arg, dict):
message = message_arg
elif isinstance(message_arg, bytes):
message = PubSubSubscriber.message_to_dict(message_arg.decode(encoding))
elif isinstance(message_arg, str):
message = PubSubSubscriber.message_to_dict(message_arg)
else:
message = None
group_topics = message.get("group", dict()).get("group_topics", dict())
if group_topics:
message['group']['group_topics'] = [d['topic_name'] for d in message['group']['group_topics']]
# time handling
event_time = PubSubSubscriber.epoch_to_strtime(message.get("event", dict()).get("time", None))
if event_time:
message['event']['time'] = event_time
mtime = PubSubSubscriber.epoch_to_strtime(message.get("mtime", None))
if mtime:
message['mtime'] = mtime
# geo handling
group_geo_lat = message.get("group", dict()).get("group_lat", None)
group_geo_lon = message.get("group", dict()).get("group_lon", None)
if group_geo_lon and group_geo_lat:
message['group']['group_geo'] = PubSubSubscriber.create_geo_object(group_geo_lat, group_geo_lon)
venue_geo_lat = message.get("venue", dict()).get("lat", None)
venue_geo_lon = message.get("venue", dict()).get("lon", None)
if venue_geo_lon and venue_geo_lat:
message['venue']['venue_geo'] = PubSubSubscriber.create_geo_object(venue_geo_lat, venue_geo_lon)
return message
@staticmethod
def epoch_to_strtime(epoch_time):
try:
result = strftime('%Y-%m-%dT%H:%M:%S', localtime(epoch_time / 1000))
except:
result = epoch_time
return result
@staticmethod
def create_geo_object(lat, lon):
return "{}, {}".format(str(lat), str(lon))
@staticmethod
def message_to_dict(message_arg):
keep_going = True
result = message_arg
while keep_going and (not isinstance(result, dict)):
try:
result = loads(result)
except JSONDecodeError:
result = None
keep_going = False
return result
@click.command()
@click.option('--project-id', '-p', required=True, type=str, help='Google Cloud Platform Project Id')
@click.option('--topic', '-t', required=True, type=str, help='Pub/Sub Topic from which messages will be read')
@click.option('--seconds', '-s', default=None, required=False, type=int, help='For how long to read messages. If not provided - run forever')
def run(project_id, topic, seconds):
pss = PubSubSubscriber(project_id, topic, seconds)
pss.receive_and_index()
if __name__ == '__main__':
run()
答案 0 :(得分：1)
好吧，我发现问题是什么，这很愚蠢。
实际上，订户在60秒内提取了所有10万条消息，并设法将其索引到Elasticsearch。但是，60秒的时间不足以将确认发送回GCP。因此，运行相同的代码，但给予90秒（或更多）的时间来处理这10万条消息即可解决此问题。