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From Dana Powers <dana.pow...@rd.io>
Subject Re: failed with LeaderNotAvailableError -
Date Fri, 18 Dec 2015 02:35:32 GMT
No - sorry if I wasn't clear. The "error" is not related to your servers.
Just make sure that you create the topic before sending messages to it. If
you do not create the topic beforehand, the server will auto-create, but it
does take a few seconds to initialize. If you plan to rely on auto-creation
in production, I recommend either wrapping producer.send_messages in a try
/ except and retrying on LeaderNotAvailableError, or alternatively calling
client.ensure_topic_exists (topic) to block until initialization is done.

Also I'll try to get out a new release of kafka-python soon that handles
the retry internally.

-Dana
On Dec 17, 2015 6:17 PM, "David Montgomery" <davidmontgomery@gmail.com>
wrote:

> So what do I do?  Kill my production servers and rebuild?  Restarting all
> services does nit work.  This seems kinda extreme.  At this point I feel I
> have to kill all servers and rebuild.
>
> Thanks
>
> On Fri, Dec 18, 2015 at 2:28 AM, Dana Powers <dana.powers@gmail.com>
> wrote:
>
> > Hi Ben and Marko -- great suggestions re: connection failures and docker.
> >
> > The specific error here is: LeaderNotAvailableError:
> > TopicMetadata(topic='topic-test-production', error=5, partitions=[])
> >
> > That is an error code (5) returned from a MetadataRequest. In this
> context
> > it means that the topic did not exist and so the request triggered an
> > auto-create initialization (i.e., the connection was fine). Topic
> > initialization tends to take a few seconds to complete, but only needs to
> > happen once per topic. A retry here is generally fine. This retry should
> > probably be handled under the covers by the client code. So in this case
> I
> > would treat it as a simple kafka-python issue (#488).
> >
> > -Dana
> >
> > On Thu, Dec 17, 2015 at 4:58 AM, Ben Davison <ben.davison@7digital.com>
> > wrote:
> >
> > > I probably should of mentioned that this was using Amazon ECS.
> > >
> > > On Thu, Dec 17, 2015 at 12:18 PM, Marko Bonaći <
> > marko.bonaci@sematext.com>
> > > wrote:
> > >
> > > > It doesn't have to be FQDN.
> > > >
> > > > Here's how I run Kafka in a container:
> > > > docker run --name st-kafka -p 2181:2181 -p 9092:9092 -e
> > > > ADVERTISED_HOST=`docker-machine ip dev-st` -e ADVERTISED_PORT=9092 -d
> > > > spotify/kafka
> > > >
> > > > And then you have access to Kafka on the docker host VM from any
> other
> > > > machine.
> > > > BTW I use Spotify's image since it contains both ZK and Kafka, but I
> > > think
> > > > the latest version they built is 0.8.2.1, so you might have to build
> > the
> > > > new image yourself if you need 0.9, but that's trivial to do.
> > > >
> > > > Marko Bonaći
> > > > Monitoring | Alerting | Anomaly Detection | Centralized Log
> Management
> > > > Solr & Elasticsearch Support
> > > > Sematext <http://sematext.com/> | Contact
> > > > <http://sematext.com/about/contact.html>
> > > >
> > > > On Thu, Dec 17, 2015 at 11:33 AM, Ben Davison <
> > ben.davison@7digital.com>
> > > > wrote:
> > > >
> > > > > 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 <
> > > > > davidmontgomery@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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