Hi
Below is my server.properties
I am not having an issue with consuming from my kafka broker. I have
having an issue writing to my broker. One send bombs.
# 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%>
############################# 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
############################# 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
# The number of logical partitions per topic per server. More partitions
allow greater parallelism
# for consumption, but also mean more files.
num.partitions=<%=@paritions%>
On Sun, Jul 12, 2015 at 12:21 PM, Gwen Shapira <gshap...@cloudera.com>
wrote:
> You need to configure the Kafka broker to allow you to send larger
> messages.
> The relevant parameters are:
>
> message.max.bytes (default:1000000) – Maximum size of a message the
> broker will accept. This has to be smaller than the consumer
> fetch.message.max.bytes, or the broker will have messages that can’t
> be consumed, causing consumers to hang.
> replica.fetch.max.bytes (default: 1MB) – Maximum size of data that a
> broker can replicate. This has to be larger than message.max.bytes, or
> a broker will accept messages and fail to replicate them. Leading to
> potential data loss.
>
> Gwen
>
> On Sat, Jul 11, 2015 at 9:08 PM, David Montgomery
> <davidmontgom...@gmail.com> wrote:
> > I cant send this soooo simple payload using python.
> >
> > topic: topic-test-development
> > payload: {"utcdt": "2015-07-12T03:59:36", "ghznezzhmx": "apple"}
> >
> >
> > No handlers could be found for logger "kafka.conn"
> > Traceback (most recent call last):
> > File "/home/ubuntu/workspace/feed-tests/tests/druid-adstar.py", line
> 81,
> > in <module>
> > test_send_data_to_realtimenode()
> > File "/home/ubuntu/workspace/feed-tests/tests/druid-adstar.py", line
> 38,
> > in test_send_data_to_realtimenode
> > response = producer.send_messages(test_topic,test_payload)
> > File "/usr/local/lib/python2.7/dist-packages/kafka/producer/simple.py",
> > line 54, in send_messages
> > topic, partition, *msg
> > File "/usr/local/lib/python2.7/dist-packages/kafka/producer/base.py",
> > line 349, in send_messages
> > return self._send_messages(topic, partition, *msg)
> > File "/usr/local/lib/python2.7/dist-packages/kafka/producer/base.py",
> > line 390, in _send_messages
> > fail_on_error=self.sync_fail_on_error
> > File "/usr/local/lib/python2.7/dist-packages/kafka/client.py", line
> 480,
> > in send_produce_request
> > (not fail_on_error or not self._raise_on_response_error(resp))]
> > File "/usr/local/lib/python2.7/dist-packages/kafka/client.py", line
> 247,
> > in _raise_on_response_error
> > raise resp
> > kafka.common.FailedPayloadsError
> >
> > Here is what is in my logs
> > [2015-07-12 03:29:58,103] INFO Closing socket connection to
> > /xxx.xxx.xxx.xxx due to invalid request: Request of length 1550939497 is
> > not valid, it is larger than the maximum size of 104857600 bytes.
> > (kafka.network.Processor)
> >
> >
> >
> > Server is 4 gigs of ram.
> >
> > I used export KAFKA_HEAP_OPTS=-Xmx256M -Xms128M in kafka-server-start.sh
> >
> > So.....why?
>
