Thanks!
On Thu, Dec 1, 2016 at 5:17 AM, Hamidreza Afzali <
hamidreza.afz...@hivestreaming.com> wrote:
> I have added an example for KStreamDriver to the GitHub Gist and updated
> the JIRA issue.
>
> https://issues.apache.org/jira/browse/KAFKA-4461
>
>
I have added an example for KStreamDriver to the GitHub Gist and updated the
JIRA issue.
https://issues.apache.org/jira/browse/KAFKA-4461
https://gist.github.com/hrafzali/c2f50e7b957030dab13693eec1e49c13
Hamid
Hamid,
Could you paste your code using KStreamDriver that does not have this issue
into the JIRA as well? I suspect KStreamDriver should have the same issue
and wondering why it did not.
Guozhang
On Tue, Nov 29, 2016 at 10:38 AM, Matthias J. Sax
wrote:
> Thanks!
>
> On
Thanks!
On 11/29/16 7:18 AM, Hamidreza Afzali wrote:
> I have created a JIRA issue:
>
> https://issues.apache.org/jira/browse/KAFKA-4461
>
>
> Hamid
>
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I have created a JIRA issue:
https://issues.apache.org/jira/browse/KAFKA-4461
Hamid
Hamid,
would you mind creating a Jira? Thanks.
-Matthias
On 11/28/16 9:36 AM, Guozhang Wang wrote:
> Damian, Hamid:
>
> I looked at the source code and suspect that it is because of the
> auto-repartitioning which causes the topology to not directly forward the
> record to the child
Hi Damian,
It processes correctly when using KStreamTestDriver.
Best,
Hamid
Hi Hamid,
Out of interest - what are the results if you use KStreamTestDriver?
Thanks,
Damian
On Thu, 24 Nov 2016 at 12:05 Hamidreza Afzali <
hamidreza.afz...@hivestreaming.com> wrote:
> The map() returns non-null keys and values and produces the following
> stream:
>
>
CACHE_MAX_BYTES_BUFFERING_CONFIG does not have any impact if you query
the state. If you query it, you will always get the latest values.
CACHE_MAX_BYTES_BUFFERING_CONFIG only effects the downstream KTable
changelog stream (but you do not use this anyway).
If I understand you correctly, if you
Thanks Matthias.
Disabling the cache didn't solve the issue. Here's a sample code:
https://gist.github.com/hrafzali/c2f50e7b957030dab13693eec1e49c13
The topology doesn't produce any result but it works when commenting out
.map(...) in line 21.
Thanks,
Hamid
In Kafka 0.10.1 a deduplication cache was introduced for aggregates,
that reduces the downstream load for a KTable changelog stream.
If you want to disable the cache for testing, you can set
StreamsConfig.CACHE_MAX_BYTES_BUFFERING_CONFIG to zero.
Compare:
Hi,
When using ProcessorTopologyTestDriver in the latest Kafka 0.10.1, the
combination of .map(...) and .groupByKey(...).count(...) does not produce any
result.
The topology looks like this:
builder.stream(Serdes.String, Serdes.Integer, inputTopic)
.map((k, v) => new KeyValue(fn(k), v))
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