You are viewing a plain text version of this content. The canonical link for it is here.
Posted to jira@kafka.apache.org by "Deepak Goyal (JIRA)" <ji...@apache.org> on 2019/04/04 17:00:00 UTC
[jira] [Updated] (KAFKA-6718) Rack Aware Stand-by Task Assignment
for Kafka Streams
[ https://issues.apache.org/jira/browse/KAFKA-6718?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Deepak Goyal updated KAFKA-6718:
--------------------------------
Summary: Rack Aware Stand-by Task Assignment for Kafka Streams (was: Rack Aware Replica Task Assignment for Kafka Streams)
> Rack Aware Stand-by Task Assignment for Kafka Streams
> -----------------------------------------------------
>
> Key: KAFKA-6718
> URL: https://issues.apache.org/jira/browse/KAFKA-6718
> Project: Kafka
> Issue Type: New Feature
> Components: streams
> Affects Versions: 1.1.0
> Reporter: Deepak Goyal
> Assignee: Deepak Goyal
> Priority: Major
> Labels: needs-kip
>
> |Machines in data centre are sometimes grouped in racks. Racks provide isolation as each rack may be in a different physical location and has its own power source. When tasks are properly replicated across racks, it provides fault tolerance in that if a rack goes down, the remaining racks can continue to serve traffic.
>
> This feature is already implemented at Kafka [KIP-36|https://cwiki.apache.org/confluence/display/KAFKA/KIP-36+Rack+aware+replica+assignment] but we needed similar for task assignments at Kafka Streams Application layer.
>
> This features enables replica tasks to be assigned on different racks for fault-tolerance.
> NUM_STANDBY_REPLICAS = x
> totalTasks = x+1 (replica + active)
> # If there are no rackID provided: Cluster will behave rack-unaware
> # If same rackId is given to all the nodes: Cluster will behave rack-unaware
> # If (totalTasks <= number of racks), then Cluster will be rack aware i.e. each replica task is each assigned to a different rack.
> # Id (totalTasks > number of racks), then it will first assign tasks on different racks, further tasks will be assigned to least loaded node, cluster wide.|
> We have added another config in StreamsConfig called "RACK_ID_CONFIG" which helps StickyPartitionAssignor to assign tasks in such a way that no two replica tasks are on same rack if possible.
> Post that it also helps to maintain stickyness with-in the rack.|
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)