Reg : Kafka cluster issue

2021-07-07 Thread Penumarthi Durga Prasad Chowdary
Hi , I have an environment like kafka cluster with 3 brokers & kafka-streams to process data of kafka topic. Here kafka & kafka-streams versions are 2.7.0 . Which is working fine for sometime , later having issues in kafka-streams, in logs showing below error's - Execution error java.util.c

Re: Kafka Cluster Issue

2015-05-05 Thread Kamal C
This is resolved. As I missed host entry configuration in my infrastructure. On Mon, May 4, 2015 at 10:35 AM, Kamal C wrote: > We are running ZooKeeper in ensemble (Cluster of 3 / 5). With further > investigation, I found that the Connect Exception throws for all "inflight" > producers. > > Say

Re: Kafka Cluster Issue

2015-05-03 Thread Kamal C
We are running ZooKeeper in ensemble (Cluster of 3 / 5). With further investigation, I found that the Connect Exception throws for all "inflight" producers. Say we are pushing 50 msg/s to a topic. Stop the leader Kafka for that topic. Producers are unable to push messages to the Kafka Cluster and

Re: Kafka Cluster Issue

2015-05-03 Thread Jiangjie Qin
What do you mean by cluster mode with 3 Zookeeper and 3 Kafka brokers? Do you mean 1 Zookeeper and 3 brokers? On 5/2/15, 11:01 PM, "Kamal C" wrote: >Any comments on this issue? > >On Sat, May 2, 2015 at 9:16 AM, Kamal C wrote: > >> Hi, >> We are using Kafka_2.10-0.8.2.0, new Kafka producer and

Re: Kafka Cluster Issue

2015-05-02 Thread Kamal C
Any comments on this issue? On Sat, May 2, 2015 at 9:16 AM, Kamal C wrote: > Hi, > We are using Kafka_2.10-0.8.2.0, new Kafka producer and Kafka Simple > Consumer. In Standalone mode, 1 ZooKeeper and 1 Kafka we haven't faced any > problems. > > In cluster mode, 3 ZooKeeper and 3 Kafka Brokers. W

Kafka Cluster Issue

2015-05-02 Thread Kamal C
Hi, We are using Kafka_2.10-0.8.2.0, new Kafka producer and Kafka Simple Consumer. In Standalone mode, 1 ZooKeeper and 1 Kafka we haven't faced any problems. In cluster mode, 3 ZooKeeper and 3 Kafka Brokers. We did some sanity testing by bringing a Kafka node down then a random Producer starts to