Hello Jiang,
In Kafka parallelism is achieve through partitioning, meaning you can
specify n partitions for a topic and m (<=n) consumers each consuming from
one or more partitions.
Guozhang
On Wed, Aug 14, 2013 at 12:59 PM, Wu, Jiang2 wrote:
> Hi,
>
> In our experiments, we find that if multi
Correction: So if you have n consumers in the same group you need n
partitions per topic.
On 8/15/13 12:14 AM, "Eric Sites" wrote:
>Yes, that is the expected.
>
>
>You need more partitions per topic, at lest 1 partition per consumer in
>the group.
>
>So if you have n consumers you need n topics.
Yes, that is the expected.
You need more partitions per topic, at lest 1 partition per consumer in
the group.
So if you have n consumers you need n topics.
All messages sent to the topic will be divided amongst the partitions.
Cheers,
Eric Sites
On 8/14/13 3:59 PM, "Wu, Jiang2 " wrote:
>Hi,
Hi,
In our experiments, we find that if multiple consumers in the same group listen
to the same partition, then one consumer will receive all messages on this
partition, and others get none. Is this inherent to Kafka design, or it can be
changed by some configuration? Basically we expect ems qu
