Hi David,

Are you running in docker? Are you trying to connect from to a remote box?
We found we could connect locally but couldn't connect from another remote
host.

(I've just started using kafka also)

We had the same issue and found out: host.name=<%=@ipaddress%> needed to be
the FQDN of the box.

Thanks,

Ben

On Thu, Dec 17, 2015 at 5:40 AM, David Montgomery <davidmontgom...@gmail.com
> wrote:

> Hi,
>
> I am very concerned about using kafka in production given the below
> errors:
>
> Now issues with myt zookeeper.  Other services use ZK.  Only kafka fails.
> I have 2 kafka servers using 8.x.  How do I resolve?  I tried restarting
> services for kafka.  Below is my kafka server.properties file
>
> 'Traceback (most recent call last):
>   File
>
> "/usr/local/lib/python2.7/dist-packages/gevent-1.1b6-py2.7-linux-x86_64.egg/gevent/greenlet.py",
> line 523, in run
>     result = self._run(*self.args, **self.kwargs)
>   File "/var/feed-server/ad-server/pixel-server.py", line 145, in
> send_kafka_message
>     res = producer.send_messages(topic, message)
>   File "build/bdist.linux-x86_64/egg/kafka/producer/simple.py", line 52, in
> send_messages
>     partition = self._next_partition(topic)
>   File "build/bdist.linux-x86_64/egg/kafka/producer/simple.py", line 36, in
> _next_partition
>     self.client.load_metadata_for_topics(topic)
>   File "build/bdist.linux-x86_64/egg/kafka/client.py", line 383, in
> load_metadata_for_topics
>     kafka.common.check_error(topic_metadata)
>   File "build/bdist.linux-x86_64/egg/kafka/common.py", line 233, in
> check_error
>     raise error_class(response)
> LeaderNotAvailableError: TopicMetadata(topic='topic-test-production',
> error=5, partitions=[])
> <Greenlet at 0x7f7acd1654b0: send_kafka_message('topic-test-production',
> '{"adfadfadf)> failed with LeaderNotAvailableError
>
>
>
>
>
>
>
>
> # 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=<%=@broker_id%>
> advertised.host.name=<%=@ipaddress%>
> advertised.port=9092
> ############################# Socket Server Settings
> #############################
>
> # The port the socket server listens on
> port=9092
>
> # Hostname the broker will bind to and advertise to producers and
> consumers.
> # If not set, the server will bind to all interfaces and advertise the
> value returned from
> # from java.net.InetAddress.getCanonicalHostName().
> host.name=<%=@ipaddress%>
>
> # The number of threads handling network requests
> num.network.threads=2
>
> # The number of threads doing disk I/O
> num.io.threads=2
>
> # The send buffer (SO_SNDBUF) used by the socket server
> socket.send.buffer.bytes=1048576
>
> # The receive buffer (SO_RCVBUF) used by the socket server
> socket.receive.buffer.bytes=1048576
>
> # The maximum size of a request that the socket server will accept
> (protection against OOM)
> socket.request.max.bytes=104857600
>
>
> ############################# Log Basics #############################
>
> # A comma seperated list of directories under which to store log files
> log.dirs=/tmp/kafka-logs
>
> # The number of logical partitions per topic per server. More partitions
> allow greater parallelism
> # for consumption, but also mean more files.
> num.partitions=2
>
> ############################# Log Flush Policy
> #############################
>
> # The following configurations control the flush of data to disk. This is
> among the most
> # important performance knob in kafka.
> # 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 exceessive 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
>
> # Per-topic overrides for log.flush.interval.ms
> #log.flush.intervals.ms.per.topic=topic1:1000, topic2:3000
>
> ############################# 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
> log.retention.hours=168
>
> # A size-based retention policy for logs. Segments are pruned from the log
> as long as the remaining
> # segments don't drop below log.retention.bytes.
> #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=536870912
>
> # The interval at which log segments are checked to see if they can be
> deleted according
> # to the retention policies
> log.cleanup.interval.mins=1
>
> ############################# 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
> zookeeper.connect=<%=@zookeeper%>
>
>
> # Timeout in ms for connecting to zookeeper
> zookeeper.connection.timeout.ms=1000000
>
> num.replica.fetchers=4
> default.replication.factor=2
> delete.topic.enable=true
> unclean.leader.election.enable=true
>

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