Re: Consumer Pause & Scheduled Resume

2018-10-24 Thread Matthias J. Sax
There is no issue if you call `poll()` is all partitions are paused. If fact, if you want to make sure that the consumer does not fall out of the consumer group, you must call `poll()` in regular interval to not hit `max.poll.interval.ms` timeout. -Matthias On 10/24/18 10:25 AM, pradeep s

Re: Consumer Pause & Scheduled Resume

2018-10-24 Thread pradeep s
Pause and resume is required since i am running a pod in kubernetes and i am not shutting down the app On Tue, Oct 23, 2018 at 10:33 PM pradeep s wrote: > Hi, > I have a requirement to have kafka streaming start at scheduled time and > then pause the stream when the consumer poll returns empty

Re: [VOTE] 2.1.0 RC0

2018-10-24 Thread Andras Beni
+1 (non-binding) Verified signatures and checksums of release artifacts Performed quickstart steps on rc artifacts (both scala 2.11 and 2.12) and one built from tag 2.1.0-rc0 Andras On Wed, Oct 24, 2018 at 10:17 AM Dong Lin wrote: > Hello Kafka users, developers and client-developers, > >

R: When Kafka stores group information in zookeeper?

2018-10-24 Thread Spadoni Marco
Hi friends, however I suggest you to be aware of the contents of the mail by Manikumar dated October 4 @ 16:44 (see mail list archive): "Deprecated scala consumers/producers are removed from 2.0 release. Old consumer related options are removed from /kafka-consumer-groups.sh tool." ... Best,

Transactional Id authorization failed

2018-10-24 Thread Vadim Nikitin
Hello All. I'm trying to setup the KAFKA cluster with transactions and authorization enabled. I use "spring-kafka" integration. Here is my code in Java:     @Bean     public DefaultKafkaProducerFactory createDefaultKafkaProducerFactory(     KafkaProperties kafkaProperties,    

[VOTE] 2.1.0 RC0

2018-10-24 Thread Dong Lin
Hello Kafka users, developers and client-developers, This is the first candidate for feature release of Apache Kafka 2.1.0. This is a major version release of Apache Kafka. It includes 28 new KIPs and critical bug fixes. Please see the Kafka 2.1.0 release plan for more details: