在AWS EC2上部署了Kafka Bitnami。 https://bitnami.com/stack/kafka/cloud
我在sec组上打开了端口9092，并且能够执行bitnami文档中的步骤。
现在，我正在从客户端笔记本中编写一个简单的python脚本，以在ec2上向我的Kafka生成消息。我的代码如下
from time import sleep
from json import dumps
from kafka import KafkaProducer
import logging
logging.basicConfig(level=logging.DEBUG)
# produce json messages
producer = KafkaProducer(bootstrap_servers=['xxxxxx:9092'], value_serializer=lambda m: json.dumps(m).encode('ascii'))
producer.send('test', {'key': 'value'})
producer.flush()
但是，我一直击中一个
kafka.errors.KafkaTimeoutError: KafkaTimeoutError: Failed to update metadata after 60.0 secs.
检查日志@ /opt/bitnami/kafka/logs/server.log，我注意到了
Failed authentication with /202.127.74.162 (Unexpected Kafka request of type METADATA during SASL handshake.) (org.apache.kafka.common.network.Selector)
我已经在我的AWS上打开了端口。有帮助吗？
其他信息：
这是我的server.conf
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# see kafka.server.KafkaConfig for additional details and defaults
############################# Server Basics #############################
# The id of the broker. This must be set to a unique integer for each broker.
broker.id=-1
############################# Socket Server Settings #############################
# The address the socket server listens on. It will get the value returned from
# java.net.InetAddress.getCanonicalHostName() if not configured.
# FORMAT:
listeners=SASL_PLAINTEXT://:9092
# EXAMPLE:
# listeners = PLAINTEXT://your.host.name:9092
#listeners=PLAINTEXT://:9092
# Hostname and port the broker will advertise to producers and consumers. If not set,
# it uses the value for "listeners" if configured. Otherwise, it will use the value
# returned from java.net.InetAddress.getCanonicalHostName().
advertised.listeners=SASL_PLAINTEXT://:9092
# Maps listener names to security protocols, the default is for them to be the same. See the config documentation for more details
#listener.security.protocol.map=PLAINTEXT:PLAINTEXT,SSL:SSL,SASL_PLAINTEXT:SASL_PLAINTEXT,SASL_SSL:SASL_SSL
# The number of threads that the server uses for receiving requests from the network and sending responses to the network
num.network.threads=3
# The number of threads that the server uses for processing requests, which may include disk I/O
num.io.threads=8
# The send buffer (SO_SNDBUF) used by the socket server
socket.send.buffer.bytes=102400
# The receive buffer (SO_RCVBUF) used by the socket server
socket.receive.buffer.bytes=102400
# The maximum size of a request that the socket server will accept (protection against OOM)
socket.request.max.bytes=104857600
############################# Log Basics #############################
# A comma separated list of directories under which to store log files
log.dirs=/opt/bitnami/kafka/data
# The default number of log partitions per topic. More partitions allow greater
# parallelism for consumption, but this will also result in more files across
# the brokers.
num.partitions=1
# The number of threads per data directory to be used for log recovery at startup and flushing at shutdown.
# This value is recommended to be increased for installations with data dirs located in RAID array.
num.recovery.threads.per.data.dir=1
############################# Internal Topic Settings #############################
# The replication factor for the group metadata internal topics "__consumer_offsets" and "__transaction_state"
# For anything other than development testing, a value greater than 1 is recommended for to ensure availability such as 3.
offsets.topic.replication.factor=1
transaction.state.log.replication.factor=1
transaction.state.log.min.isr=1
############################# Log Flush Policy #############################
# Messages are immediately written to the filesystem but by default we only fsync() to sync
# the OS cache lazily. The following configurations control the flush of data to disk.
# There are a few important trade-offs here:
# 1. Durability: Unflushed data may be lost if you are not using replication.
# 2. Latency: Very large flush intervals may lead to latency spikes when the flush does occur as there will be a lot of data to flush.
# 3. Throughput: The flush is generally the most expensive operation, and a small flush interval may lead to excessive seeks.
# The settings below allow one to configure the flush policy to flush data after a period of time or
# every N messages (or both). This can be done globally and overridden on a per-topic basis.
# The number of messages to accept before forcing a flush of data to disk
#log.flush.interval.messages=10000
# The maximum amount of time a message can sit in a log before we force a flush
#log.flush.interval.ms=1000
############################# Log Retention Policy #############################
# The following configurations control the disposal of log segments. The policy can
# be set to delete segments after a period of time, or after a given size has accumulated.
# A segment will be deleted whenever *either* of these criteria are met. Deletion always happens
# from the end of the log.
# The minimum age of a log file to be eligible for deletion due to age
log.retention.hours=168
# A size-based retention policy for logs. Segments are pruned from the log unless the remaining
# segments drop below log.retention.bytes. Functions independently of log.retention.hours.
#log.retention.bytes=1073741824
# The maximum size of a log segment file. When this size is reached a new log segment will be created.
log.segment.bytes=1073741824
# The interval at which log segments are checked to see if they can be deleted according
# to the retention policies
log.retention.check.interval.ms=300000
############################# Zookeeper #############################
# Zookeeper connection string (see zookeeper docs for details).
# This is a comma separated host:port pairs, each corresponding to a zk
# server. e.g. "127.0.0.1:3000,127.0.0.1:3001,127.0.0.1:3002".
# You can also append an optional chroot string to the urls to specify the
# root directory for all kafka znodes.
zookeeper.connect=localhost:2181
# Timeout in ms for connecting to zookeeper
zookeeper.connection.timeout.ms=6000
############################# Group Coordinator Settings #############################
# The following configuration specifies the time, in milliseconds, that the GroupCoordinator will delay the initial consumer rebalance.
# The rebalance will be further delayed by the value of group.initial.rebalance.delay.ms as new members join the group, up to a maximum of max.poll.interval.ms.
# The default value for this is 3 seconds.
# We override this to 0 here as it makes for a better out-of-the-box experience for development and testing.
# However, in production environments the default value of 3 seconds is more suitable as this will help to avoid unnecessary, and potentially expensive, rebalances during application startup.
group.initial.rebalance.delay.ms=0
sasl.mechanism.inter.broker.protocol=PLAIN
sasl.enabled.mechanisms=PLAIN
security.inter.broker.protocol=SASL_PLAINTEXT
这是我的生产者属性：
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# see org.apache.kafka.clients.producer.ProducerConfig for more details
############################# Producer Basics #############################
# list of brokers used for bootstrapping knowledge about the rest of the cluster
# format: host1:port1,host2:port2 ...
bootstrap.servers=localhost:9092
# specify the compression codec for all data generated: none, gzip, snappy, lz4, zstd
compression.type=none
# name of the partitioner class for partitioning events; default partition spreads data randomly
#partitioner.class=
# the maximum amount of time the client will wait for the response of a request
#request.timeout.ms=
# how long `KafkaProducer.send` and `KafkaProducer.partitionsFor` will block for
#max.block.ms=
# the producer will wait for up to the given delay to allow other records to be sent so that the sends can be batched together
#linger.ms=
# the maximum size of a request in bytes
#max.request.size=
# the default batch size in bytes when batching multiple records sent to a partition
#batch.size=
# the total bytes of memory the producer can use to buffer records waiting to be sent to the server
#buffer.memory=
security.protocol=SASL_PLAINTEXT
sasl.mechanism=PLAIN
日志
DEBUG:kafka.client:Node bootstrap-0 connected
DEBUG:kafka.client:Sending metadata request MetadataRequest_v1(topics=['testexample']) to node bootstrap-0
DEBUG:kafka.protocol.parser:Sending request MetadataRequest_v1(topics=['testexample'])
DEBUG:kafka.conn:<BrokerConnection node_id=bootstrap-0 host=xxx:9092 <connected> [IPv4 ('xxx', 9092)]> Request 1: MetadataRequest_v1(topics=['testexample'])
ERROR:kafka.conn:<BrokerConnection node_id=bootstrap-0 host=xxx:9092 <connected> [IPv4 ('xxx', 9092)]>: socket disconnected
INFO:kafka.conn:<BrokerConnection node_id=bootstrap-0 host=xxx:9092 <connected> [IPv4 ('xxx', 9092)]>: Closing connection. KafkaConnectionError: socket disconnected
DEBUG:kafka.conn:<BrokerConnection node_id=bootstrap-0 host=xxx:9092 <connected> [IPv4 ('xxx', 9092)]>: reconnect backoff 0.046982738338269325 after 1 failures
DEBUG:kafka.producer.kafka:_wait_on_metadata woke after 59.79792523384094 secs.
DEBUG:kafka.producer.kafka:Requesting metadata update for topic testexample
DEBUG:kafka.client:Initializing connection to node bootstrap-0 for metadata request
DEBUG:kafka.conn:<BrokerConnection node_id=bootstrap-0 host=xxx:9092 <disconnected> [IPv4 ('xxx', 9092)]>: creating new socket
DEBUG:kafka.conn:<BrokerConnection node_id=bootstrap-0 host=xxx:9092 <disconnected> [IPv4 ('xxx', 9092)]>: setting socket option (6, 1, 1)
INFO:kafka.conn:<BrokerConnection node_id=bootstrap-0 host=xxx:9092 <connecting> [IPv4 ('xxx', 9092)]>: connecting to xxx:9092 [('xxx', 9092) IPv4]
DEBUG:kafka.conn:<BrokerConnection node_id=bootstrap-0 host=xxx:9092 <connecting> [IPv4 ('xxx', 9092)]>: established TCP connection
INFO:kafka.conn:<BrokerConnection node_id=bootstrap-0 host=xxx:9092 <connecting> [IPv4 ('xxx', 9092)]>: Connection complete.
DEBUG:kafka.client:Node bootstrap-0 connected
DEBUG:kafka.client:Sending metadata request MetadataRequest_v1(topics=['testexample']) to node bootstrap-0
DEBUG:kafka.protocol.parser:Sending request MetadataRequest_v1(topics=['testexample'])
DEBUG:kafka.conn:<BrokerConnection node_id=bootstrap-0 host=xxx:9092 <connected> [IPv4 ('xxx', 9092)]> Request 1: MetadataRequest_v1(topics=['testexample'])
Traceback (most recent call last):
File "producer.py", line 11, in <module>
producer.send('testexample', {'key': 'value'})
File "/anaconda3/lib/python3.7/site-packages/kafka/producer/kafka.py", line 564, in send
self._wait_on_metadata(topic, self.config['max_block_ms'] / 1000.0)
File "/anaconda3/lib/python3.7/site-packages/kafka/producer/kafka.py", line 691, in _wait_on_metadata
"Failed to update metadata after %.1f secs." % (max_wait,))
kafka.errors.KafkaTimeoutError: KafkaTimeoutError: Failed to update metadata after 60.0 secs.
INFO:kafka.producer.kafka:Closing the Kafka producer with 0 secs timeout.
INFO:kafka.producer.kafka:Proceeding to force close the producer since pending requests could not be completed within timeout 0.
DEBUG:kafka.producer.sender:Beginning shutdown of Kafka producer I/O thread, sending remaining records.
INFO:kafka.conn:<BrokerConnection node_id=bootstrap-0 host=xxx:9092 <connected> [IPv4 ('xxx', 9092)]>: Closing connection.
DEBUG:kafka.conn:<BrokerConnection node_id=bootstrap-0 host=xxx:9092 <connected> [IPv4 ('xxx', 9092)]>: reconnect backoff 0.0579924217995576 after 1 failures
DEBUG:kafka.producer.sender:Shutdown of Kafka producer I/O thread has completed.
DEBUG:kafka.producer.kafka:The Kafka producer has closed.
INFO:kafka.producer.kafka:Kafka producer closed