Hi Peter,
Agreed with Manoj and Vinicius, i think those rules led to this result :
1）the partitions of a topic - N and replication number - R determine the
real partition-replica count of this topic, which is N * R;
2) kafka can distribute partitions evenly among brokers, but it is based
on the broker count when the topic was created, this is important.
If we create a topic (N - 4, R - 3) in a kafka cluster which contains 3
kafka brokers, then 4 * 3 / 3 = 4 partitions will be assigned to each
broker.
But if a new broker was added into this cluster and another topic (N - 4, R
- 3) need to be created, then 4 * 3 / 4 = 3 partitions will be assigned to
each broker.
Kafka will not assign all those partitions to the new added broker even
though it is idle and i think this is a shortcoming of kafka.
This rule also applies to disk-level, which means that when a set of
partitions assigned to a specific broker, each of the disks will get the
same number of partitions without considering the load of disks at that
time.
3） when producer send records to topics, how to chose partiton : 3-1) if a
record has a key, then the partition number calculate according to the key;
3-2) if records have no keys, then those records will be sent to each
partition in turns. So, if there are lots of records with the same key, and
those records will be sent to the same partition, and may take up a lot of
disk space.
hope this helps
Vinicius Scheidegger 于2020年8月7日周五 上午6:10写道：
> Hi Peter,
>
> AFAIK, everything depends on:
>
> 1) How you have configured your topic
> a) number of partitions (here I understand you have 15 partitions)
> b) partition replication configuration (each partition necessarily has a
> leader - primary responsible to hold the data - and for reads and writes)
> you can configure the topic to have a number of replicas
> 2) How you publish messages to the topic
> a) The publisher is responsible to choose the partition. This can be done
> consciously (by setting the partition id while sending the message to the
> topic) or unconsciously (by using the DefaultPartitioner or any other
> partitioner scheme).
>
> All messages sent to a specific partition will be written first to the
> leader (meaning that the disk configured for the partition leader will
> receive the load) and then replicated to the replica (followers).
> Kafka does not automatically distribute the data equally to the different
> brokers - you need to think about your architecture having that in mind.
>
> I hope it helps
>
> On Thu, Aug 6, 2020 at 10:23 PM Péter Nagykátai
> wrote:
>
> > I initially started with one data disk (mounted solely to hold Kafka
> data)
> > and recently added a new one.
> >
> > On Thu, Aug 6, 2020 at 10:13 PM wrote:
> >
> > > What do you mean older disk ?
> > >
> > > On 8/6/20, 12:05 PM, "Péter Nagykátai" wrote:
> > >
> > > [External]
> > >
> > >
> > > Yeah, but it doesn't do that. My "older" disks have ~70 partitions,
> > the
> > > newer ones ~5 partitions. That's why I'm asking what went wrong.
> > >
> > > On Thu, Aug 6, 2020 at 8:35 PM
> wrote:
> > >
> > > > Kafka evenly distributed number of partition on each disk so in
> > > your case
> > > > every disk should have 3/2 topic partitions .
> > > > It is producer job to evenly produce data by partition key to
> > topic
> > > > partition .
> > > > How it partition key , it is auto generated or producer sending
> key
> > > along
> > > > with message .
> > > >
> > > >
> > > > On 8/6/20, 7:29 AM, "Péter Nagykátai"
> > wrote:
> > > >
> > > > [External]
> > > >
> > > >
> > > > Hello,
> > > >
> > > > I have a Kafka cluster with 3 brokers (v2.3.0) and each
> broker
> > > has 2
> > > > disks
> > > > attached. I added a new topic (heavyweight) and was surprised
> > > that
> > > > even if
> > > > the topic has 15 partitions, those weren't distributed evenly
> > on
> > > the
> > > > disks.
> > > > Thus I got one disk that's almost empty and the other almost
> > > filled
> > > > up. Is
> > > > there any way to have Kafka evenly distribute data on its
> > disks?
> > > >
> > > > Thank you!
> > > >
> > > >
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