连接从我的本地机器在EC2机器上运行的Kafka

我是Kafka的新手并在论坛中搜索了不同的帖子，但找不到解决方案 . 我已经在EC2实例上安装了kafka，并尝试从我的ubuntu本地机器上连接它 . 我的目标是让python kafka客户端（包括Producer和Consumer）在我的本地机器上运行，并通过EC2 kafka实例发送/接收数据 . 那可能吗？

Properties set in server.properties config file:

listeners=PLAINTEXT://0.0.0.0:9092 
advertised.listeners=PLAINTEXT://<ec2-public-DNS>:9092

On Kafka EC2 Instance:

netstat -an | grep LISTEN 
tcp 0 0 0.0.0.0:22 0.0.0.0:* LISTEN 
tcp6 0 0 :::9092 :::* LISTEN

On Zookeeper cli on Kafka EC2 Instance:

get /brokers/ids/0
{"listener_security_protocol_map":{"PLAINTEXT":"PLAINTEXT"},"endpoints":["PLAINTEXT://<ec2-public-DNS>:9092"],"jmx_port":-1,"host":"<ec2-public-DNS>","timestamp":"1492900361516","port":9092,"version":4}
cZxid = 0xed
ctime = Sat Apr 22 22:32:41 UTC 2017
mZxid = 0xed
mtime = Sat Apr 22 22:32:41 UTC 2017
pZxid = 0xed
cversion = 0
dataVersion = 0
aclVersion = 0
ephemeralOwner = 0x15b97cb9d060000
dataLength = 250
numChildren = 0

Python client(Producer) on my local machine:

from kafka import KafkaProducer
import time
import json

producer = KafkaProducer(bootstrap_servers="<ec2-public-DNS>:9092")
for i in range(100):
    dict = {}
    dict['name_'+str(i)] = 'FILE_' + str(i)
    dict['size_'+str(i)] = '23.' + str(i)
    dict['host_'+str(i)] = '10.0.0.0' + str(i)
    jd = json.dumps(dict)
    producer.send('console-test-topic', jd)
    time.sleep(2)

Python client(Consumer) on my local machine:

from kafka import KafkaConsumer

consumer = KafkaConsumer('console-test-topic', bootstrap_servers="<ec2-public-DNS>:9092")
for msg in consumer:
    print (msg)

但是， 生产环境 者无法连接到Kafka EC2实例并且失败并出现以下错误：

**kafka.errors.NoBrokersAvailable: NoBrokersAvailable**

Please refer to the link for my security group rules:

goo.gl/ZUVknv

Running Producer in debug mode on my local machine:

DEBUG:kafka.producer.kafka:Starting the Kafka producer
DEBUG:kafka.metrics.metrics:Added sensor with name connections-closed
DEBUG:kafka.metrics.metrics:Added sensor with name connections-created
DEBUG:kafka.metrics.metrics:Added sensor with name select-time
DEBUG:kafka.metrics.metrics:Added sensor with name io-time
INFO:kafka.client:Bootstrapping cluster metadata from [('ec2-54-91-87-14.compute-1.amazonaws.com', 9092, 0)]
DEBUG:kafka.client:Attempting to bootstrap via node at ec2-54-91-87-14.compute-1.amazonaws.com:9092
DEBUG:kafka.metrics.metrics:Added sensor with name bytes-sent-received
DEBUG:kafka.metrics.metrics:Added sensor with name bytes-sent
DEBUG:kafka.metrics.metrics:Added sensor with name bytes-received
DEBUG:kafka.metrics.metrics:Added sensor with name request-latency
DEBUG:kafka.metrics.metrics:Added sensor with name node-bootstrap.bytes-sent
DEBUG:kafka.metrics.metrics:Added sensor with name node-bootstrap.bytes-received
DEBUG:kafka.metrics.metrics:Added sensor with name node-bootstrap.latency
DEBUG:kafka.client:Node bootstrap connected
DEBUG:kafka.cluster:Updated cluster metadata to ClusterMetadata(brokers: 1, topics: 2, groups: 0)
INFO:kafka.client:Bootstrap succeeded: found 1 brokers and 2 topics.
DEBUG:kafka.client:Initiating connection to node 0 at ec2-54-91-87-14.compute-1.amazonaws.com:9092
DEBUG:kafka.metrics.metrics:Added sensor with name node-0.bytes-sent
DEBUG:kafka.metrics.metrics:Added sensor with name node-0.bytes-received
DEBUG:kafka.metrics.metrics:Added sensor with name node-0.latency
INFO:kafka.producer.kafka:Kafka producer closed
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/usr/local/lib/python2.7/dist-packages/kafka/producer/kafka.py", line 335, in __init__
    **self.config)
  File "/usr/local/lib/python2.7/dist-packages/kafka/client_async.py", line 210, in __init__
    self.config['api_version'] = self.check_version(timeout=check_timeout)
  File "/usr/local/lib/python2.7/dist-packages/kafka/client_async.py", line 828, in check_version
    raise Errors.NoBrokersAvailable()
kafka.errors.NoBrokersAvailable: NoBrokersAvailable

我尝试在另一个EC2实例中运行 生产环境 者客户端（在与kafka实例相同的VPN中）并且它工作正常 . 但是，当 生产环境 者在我的本地机器上运行时，它不起作用 . 'advertised.listeners'属性是否在同一个（AWS VPN）网络中宣传kafka经纪人？或者我也可以从本地机器连接它吗？如果有人能指出我正确的方向，请告诉我 .