I'm running this command: "/usr/local/kafka/bin/kafka-producer-perf-test.sh --topic words --num-records 200000000 --record-size 100 --throughput 100000000 --producer-props acks=-1 bootstrap.servers=xxxx:9092,xxxx:9092,1xxxx:9092 buffer.memory=67108864 compression.type=none batch.size=8196"
and here are producer configurations: # 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.producer.ProducerConfig for more details ############################# Producer Basics ############################# # list of brokers used for bootstrapping knowledge about the rest of the cluster # format: host1:port1,host2:port2 ... bootstrap.servers=xxxx:9092,xxxx:9092,xxxx:9092 # specify the compression codec for all data generated: none, gzip, snappy, lz4 compression.type=none # name of the partitioner class for partitioning events; default partition spreads data randomly #partitioner.class= # the maximum amount of time the client will wait for the response of a request #request.timeout.ms= # how long `KafkaProducer.send` and `KafkaProducer.partitionsFor` will block for #max.block.ms= # the producer will wait for up to the given delay to allow other records to be sent so that the sends can be batched together #linger.ms= # the maximum size of a request in bytes #max.request.size= # the default batch size in bytes when batching multiple records sent to a partition #batch.size= # the total bytes of memory the producer can use to buffer records waiting to be sent to the server #buffer.memory= Thanks From: "Steve Tian" <steve.cs.t...@gmail.com> To: "users" <users@kafka.apache.org> Sent: Wednesday, September 20, 2017 9:28:17 AM Subject: Re: Question about Kafka Producer configuration? On Wed, Sep 20, 2017, 2:50 PM MAHA ALSAYASNEH < maha.alsayas...@univ-grenoble-alpes.fr> wrote: > Hello, > > Any suggestion regarding this msg: > " org.apache.kafka.common.errors.TimeoutException: Expiring 61 record(s) > for XXXX due to 30001 ms has passed since batch creation plus linger time " > > Thanks in advance > Maha > > > From: "MAHA ALSAYASNEH" <maha.alsayas...@univ-grenoble-alpes.fr> > To: "users" <users@kafka.apache.org> > Sent: Tuesday, September 19, 2017 6:18:25 PM > Subject: Re: Question about Kafka > > Well I kept the defualt: > log.retention.hours=168 > > > Here are my broker configurations: > > ############################# Server Basics ############################# > > # The id of the broker. This must be set to a unique integer for each > broker. > broker.id=3 > host.name=xxxx > > port=9092 > zookeeper.connect=xxx:2181,xxxx:2181,xxxx:2181 > > #The maximum size of message that the server can receive > message.max.bytes=2000024 > > > eplica.fetch.max.bytes=2000024 > request.timeout.ms=300000 > log.flush.interval.ms=10000 > log.flush.interval.messages=20000 > > request.timeout.ms=300000 > > #replica.socket.timeout.ms=60000 > #linger.ms=30000 > > # Switch to enable topic deletion or not, default value is false > delete.topic.enable=true > > ############################# Socket Server Settings > ############################# > > # The address the socket server listens on. It will get the value returned > from > # java.net.InetAddress.getCanonicalHostName() if not configured. > # FORMAT: > # listeners = security_protocol://host_name:port > # EXAMPLE: > # listeners = PLAINTEXT://your.host.name:9092 > listeners=PLAINTEXT://x.x.x.X:9092 > > > # Hostname and port the broker will advertise to producers and consumers. > If not set, > # it uses the value for "listeners" if configured. Otherwise, it will use > the value > # returned from java.net.InetAddress.getCanonicalHostName(). > #advertised.listeners=PLAINTEXT://your.host.name:9092 > > # The number of threads handling network requests > num.network.threads=4 > > # 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=102400 > > # The receive buffer (SO_RCVBUF) used by the socket server > socket.receive.buffer.bytes=102400 > > # 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 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=8 > > # The number of threads per data directory to be used for log recovery at > startup and flushing at shutdown. > # This value is recommended to be increased for installations with data > dirs located in RAID array. > num.recovery.threads.per.data.dir=1 > > ############################# 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. > > #log.retention.ms=600000 > > # 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 > # log.segment.bytes=2147483648 > > # 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 > > ############################# 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. > > > # Timeout in ms for connecting to zookeeper > zookeeper.connection.timeout.ms=1000000 > > > # metrics reporter properties > kafka.metrics.polling.interval.secs=5 > kafka.metrics.reporters=kafka.metrics.KafkaCSVMetricsReporter > kafka.csv.metrics.dir=/tmp/kafka_metrics > # Disable csv reporting by default. > kafka.csv.metrics.reporter.enabled=true > > > > Thanks, > maha > > > > From: "Bhavi C" <bhav...@outlook.com> > To: "users" <users@kafka.apache.org> > Sent: Tuesday, September 19, 2017 6:11:05 PM > Subject: Re: Question about Kafka > > What is the retention time on the topic you are publishing to? > > ________________________________ > From: MAHA ALSAYASNEH <maha.alsayas...@univ-grenoble-alpes.fr> > Sent: Tuesday, September 19, 2017 10:25:15 AM > To: users@kafka.apache.org > Subject: Question about Kafka > > Hello, > > I'm using Kafka 0.10.1.1 > > I set up my cluster Kafka + zookeeper on three nodes (three brokers, one > topic, 6 partitions, 3 replicas) > When I send messages using Kafka producer (independent node), sometimes I > get this error and I couldn't figure out how to solve it. > > " org.apache.kafka.common.errors.TimeoutException: Expiring 61 record(s) > for XXXX due to 30001 ms has passed since batch creation plus linger time " > > > Could you please help. > > Thanks in advance > Maha >
