If you use partitioning based on your client/customer ID, events for a
particular customer will go to a unique partition and hence will always be
ordered. This still allows processing events from different customers in
parallel. Will also support scaling out to some degree.
However, if you need ev
You can enable unclean.leader.election temporarily for specific topic by
using kafka-topics.sh command.
This requires broker restart to take effect.
http://kafka.apache.org/documentation/#topicconfigs
On Thu, Jun 28, 2018 at 2:27 AM Jordan Pilat wrote:
> Heya,
>
> I had a question about what b
Hi Guozhang,
Thanks for the review and the alternative idea.
A quick note on the metrics. I actually do think that it should be true
that "Skipped records are records that are for one
reason or another invalid." I recently added the change to record a
skipped-record when we get a record for a wi
Yes, that is correct.. I guess updating a Bank Account should be done in
sequence not parallel.. the reason use Kafka is maybe the better throughput
compare to other message queues?
-Original Message-
From: Malik, Shibha (GE Renewable Energy, consultant)
[mailto:shibha.ma...@ge.com]
But then restricting a consumer to use only partition seems to be similar to
traditional message queues ( except the persistence feature ) and does not
offer parallelism , isn’t it ?
-Original Message-
From: Yi, Gene [mailto:gene...@sc.com.INVALID]
Sent: Wednesday, June 27, 2018 5:43 PM
I think you may use one partition only?
__
Gene Huijian Yi
TS - FM - App
Standard Chartered Global Business Services Co., Ltd.
Phone: +862259806930
Address:Standard Chartered Center, 3/F No.35 Xinhuanbei Road,
TEDA
Hi,
Kafka guarantees ordering only within a partition (not across partitions in
a topic) ie consumers reading off a partition will always get records in
the order they were *received into the partition*.
Note that in some cases of retries by a non- idempotent producer, the order
in which a produc
Is order of data is not maintained in Kafka, Is Kafka not suitable to do manage
State / Transactional Scenarios such as Updating a Bank Account scenarios etc
Hi all,
What are the use cases where technologies like Kafka , Storm , Flink , , Hive ,
Hadoop and Spark differentiates ?
Is there a good material online or book to refer for this ?
Thanks,
Shibha
Yes.
If you do this, the writes of both producers with interleave and there
are no ordering guarantees between records written by different producers.
-Matthias
On 6/27/18 11:26 AM, Malik, Shibha (GE Renewable Energy, consultant) wrote:
> Hi,
>
> Can multiple producers write to the same partit
Hello John, thanks for putting up the KIP. I have a meta comment:
We need to clarify the difference between late event suppression semantics
and the window retention semantics that result into a windowed KTable. More
specifically, say you have a window of size 10 min, and `until` 20 min, and
the r
Heya,
I had a question about what behavior to expect from a particular scenario.
Given:
A. Unclean leader elections are disabled
B. A partition is led by Broker1 and followed by Broker2
C. Broker1 is on offset 100
D. Broker2 is on offset 90
E. Broker2 has fallen out of the ISR, leaving only Brok
Thanks for the feedback, Matthias,
It seems like in straightforward relational processing cases, it would not
make sense to bound the lateness of KTables. In general, it seems better to
have "guard rails" in place that make it easier to write sensible programs
than insensible ones.
But I'm still
Hello again all,
I realized today that I neglected to include metrics in the proposal. I
have added them just now.
Thanks,
-John
On Tue, Jun 26, 2018 at 3:11 PM John Roesler wrote:
> Hello devs and users,
>
> Please take some time to consider this proposal for Kafka Streams:
>
> KIP-328: Abili
Hi,
Can multiple producers write to the same partition ?
I noticed this (lack of primary parameter) as well.
What you gave as new example is semantically the same as what I suggested.
So it is good by me.
Thanks
On Wed, Jun 27, 2018 at 7:31 AM, John Roesler wrote:
> Thanks for taking look, Ted,
>
> I agree this is a departure from the conventions of
Thanks for taking look, Ted,
I agree this is a departure from the conventions of Streams DSL.
Most of our config objects have one or two "required" parameters, which fit
naturally with the static factory method approach. TimeWindow, for example,
requires a size parameter, so we can naturally say
Hi All,
In a 3 Node Zookeeper cluster if 2 Nodes goes down but Zookeeper to which
Kafka broker is up, what is expected ??
Is kafka borker expected to go down ?? or only the new operations will fail.
Thanks
Harish
+1 non-binding
Ran quick start and checked signatures
On Wed, Jun 27, 2018 at 8:07 AM, Dong Lin wrote:
> Thank you all for your test and votes!
>
> It will be great to have more votes from PMC so that we can conclude
> kafka-1.1.1 release :)
Thank you all for your test and votes!
It will be great to have more votes from PMC so that we can conclude
kafka-1.1.1 release :)
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