This json file seemed to work
cat reduce_replication_factor.json
{
"version":1,
"partitions":[
{"topic":"md","partition":0,"replicas":[12,10,8,2,9,11,1,7,3]},
{"topic":"md","partition":1,"replicas":[9,8,2,12,11,1,7,3,10]},
{"topic":"md","partition":2,"replicas":[11,2,12,9,1,7,3,10,8]},
{"topic":"md","partition":3,"replicas":[1,12,9,11,7,3,10,8,2]},
{"topic":"md","partition":4,"replicas":[7,9,11,1,3,10,8,2,12]},
{"topic":"md","partition":5,"replicas":[3,11,1,7,10,8,2,12,9]}
]
}
kafka-reassign-partitions.sh --bootstrap-server
rhes75:9092,rhes75:9093,rhes75:9094,rhes76:9092,rhes76:9093,rhes76:9094,rhes76:9095,rhes76:9096,
rhes76:9097 --reassignment-json-file ./reduce_replication_factor.json
--execute
The output
Successfully started partition reassignments for
md-0,md-1,md-2,md-3,md-4,md-5
I guess it is going to take sometime before it is completed.
Thanks
On Fri, 12 May 2023 at 20:16, Mich Talebzadeh <mich.talebza...@gmail.com>
wrote:
> Thanks Matthias.
>
> with regard to your point below:
>
> A replication factor of 9 sounds very high. For production, a replication
> factor of 3 is recommended.
>
> Is it possible to dynamically reduce this number to 3 when the topic is
> actively consumed)?
>
>
>
> *Disclaimer:* Use it at your own risk. Any and all responsibility for any
> loss, damage or destruction of data or any other property which may arise
> from relying on this email's technical content is explicitly disclaimed.
> The author will in no case be liable for any monetary damages arising from
> such loss, damage or destruction.
>
>
>
>
> On Fri, 12 May 2023 at 19:38, Matthias J. Sax <mj...@apache.org> wrote:
>
>> > Does having 9 partitions with 9 replication factors make sense here?
>>
>> A replication factor of 9 sounds very high. For production, replication
>> factor of 3 is recommended.
>>
>> How many partitions you want/need is a different question, and cannot be
>> answered in a general way.
>>
>>
>> "Yes" to all other questions.
>>
>>
>> -Matthias
>>
>>
>>
>> On 5/12/23 9:50 AM, Mich Talebzadeh wrote:
>> > Hi,
>> >
>> > I have used Apache Kafka in conjunction with Spark as a messaging
>> > source. This rather dated diagram describes it
>> >
>> > I have two physical hosts each 64 GB, running RHES 7.6, these are
>> called
>> > rhes75 and rhes76 respectively. The Zookeeper version is 3.7.1 and
>> kafka
>> > version is 3.4.0
>> >
>> >
>> > image.png
>> > I have a topic md -> MarketData that has been defined as below
>> >
>> > kafka-topics.sh --create --bootstrap-server
>> >
>> rhes75:9092,rhes75:9093,rhes75:9094,rhes76:9092,rhes76:9093,rhes76:9094,rhes76:9095,rhes76:9096,
>> rhes76:9097 --replication-factor 9 --partitions 9 --topic md
>> >
>> > kafka-topics.sh --describe --bootstrap-server
>> >
>> rhes75:9092,rhes75:9093,rhes75:9094,rhes76:9092,rhes76:9093,rhes76:9094,rhes76:9095,rhes76:9096,
>> rhes76:9097 --topic md
>> >
>> >
>> > This is working fine
>> >
>> > Topic: md TopicId: UfQly87bQPCbVKoH-PQheg PartitionCount: 9
>> > ReplicationFactor: 9 Configs: segment.bytes=1073741824
>> > Topic: md Partition: 0 Leader: 12 Replicas:
>> > 12,10,8,2,9,11,1,7,3 Isr: 10,1,9,2,12,7,3,11,8
>> > Topic: md Partition: 1 Leader: 9 Replicas:
>> > 9,8,2,12,11,1,7,3,10 Isr: 10,1,9,2,12,7,3,11,8
>> > Topic: md Partition: 2 Leader: 11 Replicas:
>> > 11,2,12,9,1,7,3,10,8 Isr: 10,1,9,2,12,7,3,11,8
>> > Topic: md Partition: 3 Leader: 1 Replicas:
>> > 1,12,9,11,7,3,10,8,2 Isr: 10,1,9,2,12,7,3,11,8
>> > Topic: md Partition: 4 Leader: 7 Replicas:
>> > 7,9,11,1,3,10,8,2,12 Isr: 10,1,9,2,12,7,3,11,8
>> > Topic: md Partition: 5 Leader: 3 Replicas:
>> > 3,11,1,7,10,8,2,12,9 Isr: 10,1,9,2,12,7,3,11,8
>> > Topic: md Partition: 6 Leader: 10 Replicas:
>> > 10,1,7,3,8,2,12,9,11 Isr: 10,1,9,2,12,7,3,11,8
>> > Topic: md Partition: 7 Leader: 8 Replicas:
>> > 8,7,3,10,2,12,9,11,1 Isr: 10,1,9,2,12,7,3,11,8
>> > Topic: md Partition: 8 Leader: 2 Replicas:
>> > 2,3,10,8,12,9,11,1,7 Isr: 10,1,9,2,12,7,3,11,8
>> >
>> > However, I have a number of questions
>> >
>> > 1. Does having 9 partitions with 9 replication factors make sense
>> here?
>> > 2. As I understand the parallelism is equal to the number of partitions
>> > for a topic.
>> > 3. Kafka only provides a total order over messages *within a
>> > partition*, not between different partitions in a topic and in
>> > this case I have one topic
>> > 4.
>> >
>> > Data within a Partition will be stored in the order in which it is
>> > written, therefore, data read from a Partition will be read in order
>> > for that partition?
>> >
>> > 5.
>> >
>> > Finally if I want to get messages in order across multiple all 9
>> > partitionss, then I need to group messages with a key, so that
>> > messages with the samekey goto the samepartition and withinthat
>> > partition the messages are ordered
>> >
>> > Thanks
>> >
>> >
>> > *Disclaimer:* Use it at your own risk.Any and all responsibility for
>> any
>> > loss, damage or destruction of data or any other property which may
>> > arise from relying on this email's technical content is explicitly
>> > disclaimed. The author will in no case be liable for any monetary
>> > damages arising from such loss, damage or destruction.
>> >
>>
>
