A couple of thoughts spring to mind, are you sending the whole file as 1
message? and is your producer code using sync or async mode?
Cheers
Rob.
On 14 May 2014 15:49, Jun Rao <jun...@gmail.com> wrote:
> How many brokers and partitions do you have? You may try increasing
> batch.num.messages.
>
> Thanks,
>
> Jun
>
>
> On Tue, May 13, 2014 at 5:56 PM, Zhujie (zhujie, Smartcare) <
> first.zhu...@huawei.com> wrote:
>
> > Dear all,
> >
> > We want to use kafka to collect and dispatch data file, but the
> > performance is maybe lower than we want.
> >
> > In our cluster,there is a provider and a broker. We use a one thread read
> > file from local disk of provider and send it to broker. The average
> > throughput is only 3 MB/S~4MB/S.
> > But if we just use java NIO API to send file ,the throughput can exceed
> > 200MB/S.
> > Why the kafka performance is so bad in our test, are we missing
> something??
> >
> >
> >
> > Our server:
> > Cpu: Intel(R) Xeon(R) CPU E5-4650 0 @ 2.70GHz*4
> > Mem:300G
> > Disk:600G 15K RPM SAS*8
> >
> > Configuration of provider:
> > props.put("serializer.class", "kafka.serializer.NullEncoder");
> > props.put("metadata.broker.list", "169.10.35.57:9092");
> > props.put("request.required.acks", "0");
> > props.put("producer.type", "async");//异步
> > props.put("queue.buffering.max.ms","500");
> > props.put("queue.buffering.max.messages","1000000000");
> > props.put("batch.num.messages", "1200");
> > props.put("queue.enqueue.timeout.ms", "-1");
> > props.put("send.buffer.bytes", "102400000");
> >
> > Configuration of broker:
> >
> > # 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=0
> >
> > ############################# Socket Server Settings
> > #############################
> >
> > # The port the socket server listens on
> > port=9092
> >
> > # Hostname the broker will bind to. If not set, the server will bind to
> > all interfaces
> > #host.name=localhost
> >
> > # Hostname the broker will advertise to producers and consumers. If not
> > set, it uses the
> > # value for "host.name" if configured. Otherwise, it will use the value
> > returned from
> > # java.net.InetAddress.getCanonicalHostName().
> > #advertised.host.name=<hostname routable by clients>
> >
> > # The port to publish to ZooKeeper for clients to use. If this is not
> set,
> > # it will publish the same port that the broker binds to.
> > #advertised.port=<port accessible by clients>
> >
> > # The number of threads handling network requests
> > #num.network.threads=2
> > # The number of threads doing disk I/O
> > #num.io.threads=8
> >
> > # 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=/data/kafka-logs
> >
> > # 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=2
> >
> > ############################# 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 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
> >
> > ############################# 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.retention.check.interval.ms=60000
> >
> > # By default the log cleaner is disabled and the log retention policy
> will
> > default to just delete segments after their retention expires.
> > # If log.cleaner.enable=true is set the cleaner will be enabled and
> > individual logs can then be marked for log compaction.
> > log.cleaner.enable=false
> >
> > ############################# 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=1000000
> >
> > # Replication configurations
> > num.replica.fetchers=0
> > replica.fetch.max.bytes=104857600
> > #replica.fetch.wait.max.ms=500
> > #replica.high.watermark.checkpoint.interval.ms=5000
> > #replica.socket.timeout.ms=30000
> > #replica.socket.receive.buffer.bytes=65536
> > #replica.lag.time.max.ms=10000
> > #replica.lag.max.messages=4000
> >
> > #controller.socket.timeout.ms=30000
> > #controller.message.queue.size=10
> >
> > # Log configuration
> > num.partitions=8
> > message.max.bytes=104857600
> > auto.create.topics.enable=true
> > log.index.interval.bytes=4096
> > log.index.size.max.bytes=10485760
> > log.retention.hours=168
> > log.flush.interval.ms=10000
> > log.flush.interval.messages=20000
> > log.flush.scheduler.interval.ms=2000
> > log.roll.hours=168
> > log.cleanup.interval.mins=30
> > log.segment.bytes=1073741824
> >
> > # ZK configuration
> > zk.connection.timeout.ms=1000000
> > zk.sync.time.ms=20000
> >
> > # Socket server configuration
> > num.io.threads=8
> > num.network.threads=20
> > socket.request.max.bytes=104857600
> > socket.receive.buffer.bytes=1048576
> > socket.send.buffer.bytes=1048576
> > queued.max.requests=5000
> > fetch.purgatory.purge.interval.requests=10000
> > producer.purgatory.purge.interval.requests=10000
> >
> >
> > kafka.metrics.polling.interval.secs=5
> > kafka.metrics.reporters=kafka.metrics.KafkaCSVMetricsReporter
> > kafka.csv.metrics.dir=/data/kafka_metrics
> > kafka.csv.metrics.reporter.enabled=false
> >
> >
> >
>
--
Cheers
Rob.
