Hi Gwen, If producer cant get a response but the message got committed, Because of retries, can this producer be committing messages more than once?? I'm trying to see this problem from the point of view of Idempotent Producer
Thanks, Prabhjot On Nov 13, 2015 1:26 PM, "Hawin Jiang" <hawin.ji...@gmail.com> wrote: > Thanks Gwen for your excellent slides > > I will test it again based on your suggestions. > > > > > Best regards > Hawin > > On Thu, Nov 12, 2015 at 6:35 PM, Gwen Shapira <g...@confluent.io> wrote: > > > Hi, > > > > First, here's a handy slide-deck on avoiding data loss in Kafka: > > > > > http://www.slideshare.net/gwenshap/kafka-reliability-when-it-absolutely-positively-has-to-be-there > > > > Note configuration parameters like the number of retries. > > > > Also, it looks like you are sending data to Kafka asynchronously, but you > > don't have a callback - so if Send fails, you have no way of updating the > > count, logging or anything else. I recommend taking a look at the > callback > > API for sending data and improving your test to at least record send > > failures. > > > > Gwen > > > > > > On Thu, Nov 12, 2015 at 11:10 AM, Hawin Jiang <hawin.ji...@gmail.com> > > wrote: > > > > > Hi Pradeep > > > > > > Here is my configuration > > > > > > ############################# Producer Basics > > ############################# > > > > > > # list of brokers used for bootstrapping knowledge about the rest of > the > > > cluster > > > # format: host1:port1,host2:port2 ... > > > metadata.broker.list=localhost:9092 > > > > > > # name of the partitioner class for partitioning events; default > > partition > > > spreads data randomly > > > #partitioner.class= > > > > > > # specifies whether the messages are sent asynchronously (async) or > > > synchronously (sync) > > > producer.type=sync > > > > > > # specify the compression codec for all data generated: none, gzip, > > snappy, > > > lz4. > > > # the old config values work as well: 0, 1, 2, 3 for none, gzip, > snappy, > > > lz4, respectively > > > compression.codec=none > > > > > > # message encoder > > > serializer.class=kafka.serializer.DefaultEncoder > > > > > > # allow topic level compression > > > #compressed.topics= > > > > > > ############################# Async Producer > > ############################# > > > # maximum time, in milliseconds, for buffering data on the producer > queue > > > #queue.buffering.max.ms= > > > > > > # the maximum size of the blocking queue for buffering on the producer > > > #queue.buffering.max.messages= > > > > > > # Timeout for event enqueue: > > > # 0: events will be enqueued immediately or dropped if the queue is > full > > > # -ve: enqueue will block indefinitely if the queue is full > > > # +ve: enqueue will block up to this many milliseconds if the queue is > > full > > > #queue.enqueue.timeout.ms= > > > > > > # the number of messages batched at the producer > > > #batch.num.messages= > > > > > > > > > > > > @Jinxing > > > > > > I have not found the kafka 0.8.3.0 on > > > http://mvnrepository.com/artifact/org.apache.kafka/kafka_2.10. > > > The latest release is 0.8.2.2. > > > if we flush producer all the times, I think it will impact our > > > performance. > > > I just want to make sure how many messages in producer, then can be > found > > > it in consumer as well. > > > We can not lost so many messages in our system. > > > > > > > > > > > > Best regards > > > Hawin > > > > > > > > > On Thu, Nov 12, 2015 at 7:02 AM, jinxing <jinxing6...@126.com> wrote: > > > > > > > i have 3 brokers; > > > > the ack configuration is -1(all), meaning a message is sent > > successfully > > > > only after getting every broker's ack; > > > > is this a bug? > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > > At 2015-11-12 21:08:49, "Pradeep Gollakota" <pradeep...@gmail.com> > > > wrote: > > > > >What is your producer configuration? Specifically, how many acks are > > you > > > > >requesting from Kafka? > > > > > > > > > >On Thu, Nov 12, 2015 at 2:03 AM, jinxing <jinxing6...@126.com> > wrote: > > > > > > > > > >> in kafka_0.8.3.0: > > > > >> kafkaProducer = new KafkaProducer<>(properties, new > > > > ByteArraySerializer(), > > > > >> new ByteArraySerializer()); > > > > >> kafkaProducer.flush(); > > > > >> you can call the flush after sending every few messages; > > > > >> > > > > >> > > > > >> > > > > >> > > > > >> > > > > >> > > > > >> > > > > >> At 2015-11-12 17:36:24, "Hawin Jiang" <hawin.ji...@gmail.com> > > wrote: > > > > >> >Hi Prabhjot > > > > >> > > > > > >> >The messages are "Thread1_kafka_1" and "Thread2_kafka_1". > Something > > > > like > > > > >> >that. > > > > >> > > > > > >> >For GetOffsetShell report below: > > > > >> > > > > > >> >[kafka@dn-01 bin]$ ./kafka-run-class.sh > kafka.tools.GetOffsetShell > > > > >> >--broker-list dn-01:9092 --time -1 --topic kafka-test > > > > >> >kafka-test:0:12529261 > > > > >> > > > > > >> > > > > > >> > > > > > >> > > > > > >> >@Jinxing > > > > >> > > > > > >> >Can you share your flush example to me? How to avoid lost my > > > messages? > > > > >> >Thanks. > > > > >> > > > > > >> > > > > > >> > > > > > >> >Best regards > > > > >> >Hawin > > > > >> > > > > > >> > > > > > >> > > > > > >> >On Thu, Nov 12, 2015 at 1:00 AM, jinxing <jinxing6...@126.com> > > > wrote: > > > > >> > > > > > >> >> there is a flush api of the producer, you can call this to > > prevent > > > > >> >> messages lost; > > > > >> >> > > > > >> >> > > > > >> >> maybe it can help; > > > > >> >> > > > > >> >> > > > > >> >> > > > > >> >> > > > > >> >> > > > > >> >> > > > > >> >> > > > > >> >> > > > > >> >> At 2015-11-12 16:43:54, "Hawin Jiang" <hawin.ji...@gmail.com> > > > wrote: > > > > >> >> >Hi Jinxing > > > > >> >> > > > > > >> >> >I don't think we can resolve this issue by increasing > producers. > > > > if I > > > > >> >> >increased more producers, it should lost more messages. > > > > >> >> > > > > > >> >> >I just test two producers. > > > > >> >> >Thread Producer 1 has 83064 messages in producer side and > 82273 > > > > >> messages > > > > >> >> in > > > > >> >> >consumer side > > > > >> >> >Thread Producer 2 has 89844 messages in producer side and > 88892 > > > > >> messages > > > > >> >> in > > > > >> >> >consumer side. > > > > >> >> > > > > > >> >> >Thanks. > > > > >> >> > > > > > >> >> > > > > > >> >> > > > > > >> >> >Best regards > > > > >> >> >Hawin > > > > >> >> > > > > > >> >> > > > > > >> >> >On Thu, Nov 12, 2015 at 12:24 AM, jinxing < > jinxing6...@126.com> > > > > wrote: > > > > >> >> > > > > > >> >> >> maybe there some changes in 0.9.0.0; > > > > >> >> >> > > > > >> >> >> > > > > >> >> >> but still you can try increase producer sending rate, and > see > > if > > > > >> there > > > > >> >> are > > > > >> >> >> message lost but no exception; > > > > >> >> >> > > > > >> >> >> > > > > >> >> >> note that, to increase the producer sending rate, you must > > have > > > > >> enough > > > > >> >> >> producer 'power'; > > > > >> >> >> > > > > >> >> >> > > > > >> >> >> in my case, I have 50 producer sending message at the same > > time > > > > : ) > > > > >> >> >> > > > > >> >> >> > > > > >> >> >> > > > > >> >> >> > > > > >> >> >> > > > > >> >> >> > > > > >> >> >> > > > > >> >> >> At 2015-11-12 16:16:23, "Hawin Jiang" < > hawin.ji...@gmail.com> > > > > wrote: > > > > >> >> >> >Hi Jinxing > > > > >> >> >> > > > > > >> >> >> >I am using kafka_2.10-0.9.0.0-SNAPSHOT. I have downloaded > > > source > > > > >> code > > > > >> >> and > > > > >> >> >> >installed it last week. > > > > >> >> >> > > > > > >> >> >> >I saw 97446 messages have been sent to kafka successfully. > > > > >> >> >> > > > > > >> >> >> >So far, I have not found any failed messages. > > > > >> >> >> > > > > > >> >> >> > > > > > >> >> >> > > > > > >> >> >> >Best regards > > > > >> >> >> >Hawin > > > > >> >> >> > > > > > >> >> >> >On Thu, Nov 12, 2015 at 12:07 AM, jinxing < > > jinxing6...@126.com > > > > > > > > >> wrote: > > > > >> >> >> > > > > > >> >> >> >> Hi, what version are you using ? > > > > >> >> >> >> > > > > >> >> >> >> > > > > >> >> >> >> i am using 0.8.2.0, and I encountered this problem > before; > > > > >> >> >> >> > > > > >> >> >> >> > > > > >> >> >> >> it seems that if the message rate of the producer side is > > to > > > > high, > > > > >> >> some > > > > >> >> >> of > > > > >> >> >> >> the messages will lost; > > > > >> >> >> >> > > > > >> >> >> >> > > > > >> >> >> >> also, i found that the callback method of the producer > > 'send' > > > > API > > > > >> is > > > > >> >> not > > > > >> >> >> >> reliable; > > > > >> >> >> >> > > > > >> >> >> >> > > > > >> >> >> >> only successful sent message will trigger the callback, > but > > > the > > > > >> >> failed > > > > >> >> >> >> ones don't; > > > > >> >> >> >> > > > > >> >> >> >> > > > > >> >> >> >> you saw this? > > > > >> >> >> >> > > > > >> >> >> >> > > > > >> >> >> >> > > > > >> >> >> >> > > > > >> >> >> >> > > > > >> >> >> >> > > > > >> >> >> >> > > > > >> >> >> >> > > > > >> >> >> >> At 2015-11-12 16:01:17, "Hawin Jiang" < > > hawin.ji...@gmail.com > > > > > > > > >> wrote: > > > > >> >> >> >> >Hi All > > > > >> >> >> >> > > > > > >> >> >> >> >I have sent messages to Kafka for one minute. I found > > 97446 > > > > >> >> messages > > > > >> >> >> in > > > > >> >> >> >> >producer side and 96896 messages in consumer side for > Case > > > 1. > > > > >> >> >> >> >I also tried case 2. I have faced the same issues. The > > > > number is > > > > >> >> not > > > > >> >> >> >> match > > > > >> >> >> >> >between producer and consumer. > > > > >> >> >> >> >Can someone take a look at this issue? > > > > >> >> >> >> >Thanks. > > > > >> >> >> >> > > > > > >> >> >> >> > > > > > >> >> >> >> >Case 1: > > > > >> >> >> >> > > > > > >> >> >> >> >long startTime = System.currentTimeMillis(); > > > > >> >> >> >> >long maxDurationInMilliseconds = 1 * 60 * 1000; > > > > >> >> >> >> >int messageNo = 0; > > > > >> >> >> >> >while (true) { > > > > >> >> >> >> >if (System.currentTimeMillis() <= startTime > > > > >> >> >> >> >+ maxDurationInMilliseconds) { > > > > >> >> >> >> >messageNo++; > > > > >> >> >> >> >String messageStr = "KAFKA_"+messageNo; > > > > >> >> >> >> >System.out.println("Message: "+messageNo); > > > > >> >> >> >> >producer.send(new KeyedMessage<Integer, > > > > >> String>(topic,messageStr)); > > > > >> >> >> >> >} else { > > > > >> >> >> >> >producer.close(); > > > > >> >> >> >> >System.out.println("Total kafka Message: "+messageNo); > > > > >> >> >> >> >break; > > > > >> >> >> >> >} > > > > >> >> >> >> >} > > > > >> >> >> >> > > > > > >> >> >> >> > > > > > >> >> >> >> >Case 2: > > > > >> >> >> >> > > > > > >> >> >> >> >for (int i=1;i<=12000;i++) > > > > >> >> >> >> >String messageStr = "KAFKA_"+i; > > > > >> >> >> >> >producer.send(new KeyedMessage<Integer, > > > > >> String>(topic,messageStr)); > > > > >> >> >> >> > > > > > >> >> >> >> > > > > > >> >> >> >> > > > > > >> >> >> >> >Best regards > > > > >> >> >> >> >Hawin > > > > >> >> >> >> > > > > >> >> >> > > > > >> >> > > > > >> > > > > > > > > > >
