And I'm using kafka version 0.8.2.0
On Thursday, March 5, 2015 11:51 AM, Zijing Guo
<alter...@yahoo.com.INVALID> wrote:
Hi community,I have a 2 nodes test cluster with 2 zk instance and 2 broker
instance running and I'm experimenting kafka producer in a cluster environment.
So I create a topic "foo" with 2 partitions and replication 1.I create a async
Producer without defining partition.class (so the partitioner will be the
default one, which is "kafka.producer.DefaultPartitioner" and I verified.)
Now since I know that there is 2 partitions for topic "foo" and I create 1000
KeyedMessage with key = "a"
val msgs = val msgs = (1 to 1000).map(e => KeyedMessage("foo","test
message" + e, "a")) prod.send(msgs)
In theory, "a".hashCode=97, 97 % 2 = 1. so I should expect all the message go
to broker1. However,after I send the message, from the kafka Web console, I
can see that the data is evenly distributed around the 2 brokers.
Any help will be appreciated.Thanks
