Hi Damian,
I haven't explicitly configured any configuration related to threads. All
the instances are running with the same configuration.
I will share the logs you asked for from both running instance and the
other instance shortly.
Thanks
Dev
On Fri, Sep 15, 2017 at 3:42 PM, Damian Guy <damian....@gmail.com> wrote:
> Grepping for StreamThread would be useful, though some logs will be over
> multiple lines.
> We need to see which partitions have been assigned to the other
> instances/threads, it will look something like:
>
> 2017-09-14 10:04:22 INFO StreamThread:160 - stream-thread
> [myKafka-kafkareplica101Sept08-cb392e38-1e78-4ab6-9143-
> eb6bc6ec8219-StreamThread-1]
> at state PARTITIONS_REVOKED: new partitions [MYTOPIC05SEPT-24,
> MYTOPIC05SEPT-0] assigned at the end of consumer rebalance.
> assigned active tasks: [0_0, 0_24]
> assigned standby tasks: []
> current suspended active tasks: [0_0, 0_1, 0_2, 0_3, 0_4, 0_5,
> 0_6, 0_7, 0_8, 0_9, 0_10, 0_11, 0_12, 0_13, 0_14, 0_15, 0_16, 0_17,
> 0_18, 0_19, 0_20, 0_21, 0_22, 0_23, 0_24, 0_25, 0_26, 0_27, 0_28,
> 0_29, 0_30, 0_31, 0_32, 0_33, 0_34, 0_35]
> current suspended standby tasks: []
> previous active tasks: [0_0, 0_1, 0_2, 0_3, 0_4, 0_5, 0_6,
> 0_7, 0_8, 0_9, 0_10, 0_11, 0_12, 0_13, 0_14, 0_15, 0_16, 0_17, 0_18,
> 0_19, 0_20, 0_21, 0_22, 0_23, 0_24, 0_25, 0_26, 0_27, 0_28, 0_29,
> 0_30, 0_31, 0_32, 0_33, 0_34, 0_35]
>
>
> I also noticed that one of your instances looks like it is configured with
> 12 threads, while the others have 4 - is that correct?
>
> On Fri, 15 Sep 2017 at 10:27 dev loper <spark...@gmail.com> wrote:
>
> > Hi Damian,
> >
> > I do have the logs for the other application. But its kind of huge since
> it
> > is continuously processing . Do you want me to grep anything specific and
> > share it with you ?
> >
> > Thanks
> > Dev
> >
> > On Fri, Sep 15, 2017 at 2:31 PM, Damian Guy <damian....@gmail.com>
> wrote:
> >
> > > Hi,
> > >
> > > Do you have the logs for the other instance?
> > >
> > > Thanks,
> > > Damian
> > >
> > > On Fri, 15 Sep 2017 at 07:19 dev loper <spark...@gmail.com> wrote:
> > >
> > > > Dear Kafka Users,
> > > >
> > > > I am fairly new to Kafka Streams . I have deployed two instances of
> > Kafka
> > > > 0.11 brokers on AWS M3.Xlarge insatnces. I have created a topic with
> 36
> > > > partitions .and speperate application writes to this topic and it
> > > produces
> > > > records at the rate of 10000 messages per second. I have threes
> > instances
> > > > of AWS M4.xlarge instance where my Kafka streams application is
> > running
> > > > which consumes these messages produced by the other application. The
> > > > application starts up fine working fine and its processing messages
> on
> > > the
> > > > first instance, but when I start the same application on other
> > instances
> > > > it is not starting even though the process is alive it is not
> > processing
> > > > messages.Also I could see the other instances takes a long time to
> > start
> > > .
> > > >
> > > > Apart from first instance, other instances I could see the consumer
> > > > getting added and removed repeatedly and I couldn't see any message
> > > > processing at all . I have attached the detailed logs where this
> > behavior
> > > > is observed.
> > > >
> > > > Consumer is getting started with below log in these instances and
> > getting
> > > > stopped with below log (* detailed logs attached *)
> > > >
> > > > INFO | 21:59:30 | consumer.ConsumerConfig (AbstractConfig.java:223)
> -
> > > > ConsumerConfig values:
> > > > auto.commit.interval.ms = 5000
> > > > auto.offset.reset = latest
> > > > bootstrap.servers = [l-mykafkainstancekafka5101:9092,
> > > > l-mykafkainstancekafka5102:9092]
> > > > check.crcs = true
> > > > client.id =
> > > > connections.max.idle.ms = 540000
> > > > enable.auto.commit = false
> > > > exclude.internal.topics = true
> > > > fetch.max.bytes = 52428800
> > > > fetch.max.wait.ms = 500
> > > > fetch.min.bytes = 1
> > > > group.id = myKafka-kafkareplica101Sept08
> > > > heartbeat.interval.ms = 3000
> > > > interceptor.classes = null
> > > > internal.leave.group.on.close = true
> > > > isolation.level = read_uncommitted
> > > > key.deserializer = class mx.july.jmx.proximity.kafka.
> KafkaKryoCodec
> > > > max.partition.fetch.bytes = 1048576
> > > > max.poll.interval.ms = 300000
> > > > max.poll.records = 500
> > > > metadata.max.age.ms = 300000
> > > > metric.reporters = []
> > > > metrics.num.samples = 2
> > > > metrics.recording.level = INFO
> > > > metrics.sample.window.ms = 30000
> > > > partition.assignment.strategy = [class
> > > > org.apache.kafka.clients.consumer.RangeAssignor]
> > > > receive.buffer.bytes = 65536
> > > > reconnect.backoff.max.ms = 1000
> > > > reconnect.backoff.ms = 50
> > > > request.timeout.ms = 305000
> > > > retry.backoff.ms = 100
> > > > sasl.jaas.config = null
> > > > sasl.kerberos.kinit.cmd = /usr/bin/kinit
> > > > sasl.kerberos.min.time.before.relogin = 60000
> > > > sasl.kerberos.service.name = null
> > > > sasl.kerberos.ticket.renew.jitter = 0.05
> > > > sasl.kerberos.ticket.renew.window.factor = 0.8
> > > > sasl.mechanism = GSSAPI
> > > > security.protocol = PLAINTEXT
> > > > send.buffer.bytes = 131072
> > > > session.timeout.ms = 10000
> > > > ssl.cipher.suites = null
> > > > ssl.enabled.protocols = [TLSv1.2, TLSv1.1, TLSv1]
> > > > ssl.endpoint.identification.algorithm = null
> > > > ssl.key.password = null
> > > > ssl.keymanager.algorithm = SunX509
> > > > ssl.keystore.location = null
> > > > ssl.keystore.password = null
> > > > ssl.keystore.type = JKS
> > > > ssl.protocol = TLS
> > > > ssl.provider = null
> > > > ssl.secure.random.implementation = null
> > > > ssl.trustmanager.algorithm = PKIX
> > > > ssl.truststore.location = null
> > > > ssl.truststore.password = null
> > > > ssl.truststore.type = JKS
> > > > value.deserializer = class my.dev.MessageUpdateCodec
> > > >
> > > >
> > > > DEBUG | 21:59:30 | consumer.KafkaConsumer (KafkaConsumer.java:1617) -
> > The
> > > > Kafka consumer has closed. and the whole process repeats.
> > > >
> > > >
> > > >
> > > > Below you can find my startup code for kafkastreams and the
> parameters
> > > > which I have configured for starting the kafkastreams application .
> > > >
> > > > private static Properties settings = new Properties();
> > > > settings.put(StreamsConfig.APPLICATION_ID_CONFIG,
> > > > "mykafkastreamsapplication");
> > > > settings.put(ConsumerConfig.AUTO_OFFSET_RESET_CONFIG,"
> latest");
> > > > settings.put(ConsumerConfig.HEARTBEAT_INTERVAL_MS_CONFIG,"
> > > 10000");
> > > > settings.put(ConsumerConfig.SESSION_TIMEOUT_MS_CONFIG,"
> 30000");
> > > >
> > > > settings.put(ConsumerConfig.MAX_POLL_INTERVAL_MS_CONFIG,
> > > Integer.MAX_VALUE);
> > > > settings.put(ConsumerConfig.MAX_POLL_RECORDS_CONFIG,
> "10000");
> > > >
> > > > settings.put(ConsumerConfig.CONNECTIONS_MAX_IDLE_MS_CONFIG,"60000");
> > > >
> > > > KStreamBuilder builder = new KStreamBuilder();
> > > > KafkaStreams streams = new KafkaStreams(builder, settings);
> > > > builder.addSource(.....
> > > > .addProcessor .............
> > > > .addProcessor ........
> > > >
> > > >
> > > > .addStateStore(...................).persistent().build(),"
> myprocessor")
> > > > .addSink ..............
> > > > . addSink ..............
> > > > streams.start();
> > > >
> > > > and I am using a Simple processor to process my logic ..
> > > >
> > > > public class InfoProcessor extends AbstractProcessor<Key, Update> {
> > > > private static Logger logger = Logger.getLogger(
> InfoProcessor.class);
> > > > private ProcessorContext context;
> > > > private KeyValueStore<Key, Info> infoStore;
> > > >
> > > > @Override
> > > > @SuppressWarnings("unchecked")
> > > > public void init(ProcessorContext context) {
> > > > this.context = context;
> > > > this.context.schedule(Constants.BATCH_DURATION_SECONDS * 1000);
> > > > infoStore = (KeyValueStore<Key, Info>)
> > > > context.getStateStore("InfoStore");
> > > > }
> > > >
> > > > @Override
> > > > public void process(Key key, Update update) {
> > > > try {
> > > > if (key != null && update != null) {
> > > > Info info = infoStore.get(key);
> > > > // merge logic
> > > > infoStore.put(key, info);
> > > > }
> > > >
> > > > } catch (Exception e) {
> > > > logger.error(e.getMessage(), e);
> > > > } finally {
> > > > }
> > > > context.commit();
> > > > }
> > > >
> > > > @Override
> > > > public void punctuate(long timestamp) {
> > > > try {
> > > > KeyValueIterator<Key, Info> iter = this.infoStore.all();
> > > > while (iter.hasNext()) {
> > > > // processing logic
> > > >
> > > > }
> > > > iter.close();
> > > > context.commit();
> > > > } catch (Exception e) {
> > > > logger.error(e.getMessage(), e);
> > > > }
> > > > }
> > > >
> > > >
> > > >
> > > >
> > > >
> > >
> >
>
