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
