Hi Zhujie,
When you use a single thread to read data from disk and send to Kafka
server, which client/API did you use?
Guozhang
On Tue, May 13, 2014 at 6:32 PM, Zhujie (zhujie, Smartcare) <
first.zhu...@huawei.com> wrote:
> our version is kafka_2.10-0.8.1
>
> 发件人: Zhujie (zhujie, Smartcare)
> 发送时间: 2014年5月14日 8:56
> 收件人: 'us...@kafka.apache.org'; 'dev@kafka.apache.org'
> 主题: kafka performance question
>
> 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
>
>
>
--
-- Guozhang
