Hi Team,
I am facing error Exception in thread “
topic_name-0ce8394a-2394-4919-e46ce630c6ad-StreamThread-4”
Java.lang.IllegalStateException :Tried to lookup lag for unknown task 1_0.
Please suggest a solution.
Thanks,
Hima
Hello,
Can anyone share their experiences if they have use cases ?
I am specifically looking for these and any other details you may have.
1. How did you measure the throughput when sourcing MQ messages ?
2. Did you configure some type of buffering in MQ ? What happens if the
conne
size of
the state that applications deal with today ? Are there any guidelines
available ? Having some standard benchmark numbers published would help with
making such decisions.
Thanks
Mohan
Guozhang,
Thanks for the clarification. It makes sense. As long as the output hits the
broker, zombies can be detected.
-mohan
On 5/3/21, 2:17 PM, "Guozhang Wang" wrote:
Hello Mohan,
Sorry for getting late on the thread. Just to revive your concerns here: if
Matthias,
I will create a KIP or ticket for tracking this issue.
-thanks
Mohan
On 4/28/21, 1:01 PM, "Matthias J. Sax" wrote:
Feel free to do a KIP and contribute to Kafka!
https://cwiki.apache.org/confluence/display/KAFKA/Kafka+Improvement+Proposals
O
Andrew,
I am not sure I understand. We have built several analytics applications. We
typically use custom aggregations as they are not available directly in the
library.
-mohan
On 4/28/21, 12:12 PM, "Andrew Otto" wrote:
I'd assume this is because Kafka Streams is
it very easy.
Thanks
Mohan
On 4/28/21, 12:00 PM, "Matthias J. Sax" wrote:
I am not familiar with all the details about Spark, however, the link
you shared is for Spark SQL. I thought Spark SQL is for batch processing
only?
Personally, I would be open to add mor
library ?
Thanks
Mohan
changelog topic can ever
be disabled.
Thanks
Mohan
On 4/21/21, 10:22 PM, "Guozhang Wang" wrote:
Hello Mangat,
I think using persistent store that relies on in-memory stores could help
if the threads are from the same instance.
Guozhang
On Tue, Ap
Thanks for the responses. In the worst case, I might have to keep both rocksdb
for local store and keep an external store like Redis.
-mohan
On 3/13/21, 8:53 PM, "Pushkar Deole" wrote:
Another issue with 3rd party state stores could be violation of
exactly-once guarantee p
anyone tried this ? Any caveats.
Thanks
Mohan
Thanks. I was curious about the other real world use cases i.e what do people
use it for ? Is this widely used or mostly for debugging purposes ? Any caveats
?
Thanks
Mohan
On 10/1/20, 5:55 PM, "Guozhang Wang" wrote:
Mohan,
I think you can build a REST API on t
people do if a kafka streams application (App1) has to
offer REST interface also ?
-thanks
Mohan
On 9/30/20, 5:01 PM, "Guozhang Wang" wrote:
Hello Mohan,
If I understand correctly, your async event trigger process runs out of the
streams application, that reads
first place. Are there any caveats doing it this
way ? If not, any other suggestions ?
Thanks
Mohan
any guidelines on what the
associated overhead is with the grace period and is it reasonable for it to be
in hours ? I guess there is state in memory, rocksdb, Anything else to worry
about ?
Thanks
Mohan
On 9/25/19, 11:25 PM, "Matthias J. Sax" wrote:
Time is currently t
“groupBy”. If the
event_time was associated with the window (where there is one per “client_id”),
then it would have worked well in this case. Is there any reason for the
current design ? Is there any way to solve this problem ?
Thanks
Mohan
.
Let me know how I can help.
Thanks
-mohan
On 6/28/19, 1:21 PM, "John Roesler" wrote:
Ok, good, that's what I was hoping. I think that's a good strategy, at
the end of the "real" data, just write a dummy record with the same
keys with a high timest
flush. How does one solve this issue in
production ? I am wondering why the design did not accommodate a timer to flush
the windows ?
Thanks
Mohan
On 6/26/19, 8:18 AM, "John Roesler" wrote:
Hi Mohan,
I see where you're going with this, and it might indeed be a
c
in but post-map
operation, the partitions in the repartitioned topic does not see the same
thing.
Thanks
Mohan
On 6/24/19, 7:49 AM, "John Roesler" wrote:
Hey, this is a very apt question.
GroupByKey isn't a great example because it doesn't actually change
across all the
application instances ? Is there a designated instance for a particular key ?
In my case, there was only one instance processing records from all partitions
and it is kind of odd that windows did not expire even though I understand why
now.
Thanks
Mohan
On 6/21/19, 2:25 PM
That change "In the same partition" must explain what we are seeing. Unless you
see one message per partition, all windows will not expire. That is an
interesting twist. Thanks for the correction ( I will go back and confirm this.
-mohan
On 6/21/19, 12:40 PM, "John Roesler&quo
ime and not on the key
Are these two statements correct ?
Thanks
Mohan
On 6/20/19, 9:17 AM, "John Roesler" wrote:
Hi!
In addition to setting the grace period to zero (or some small
number), you should also consider the delays introduced by record
caches up
We do explicitly set the grace period to zero. I am going to try the new version
-mohan
On 6/19/19, 12:50 PM, "Parthasarathy, Mohan" wrote:
Thanks. We will give it a shot.
On 6/19/19, 12:42 PM, "Bruno Cadonna" wrote:
Hi Mohan,
Thanks. We will give it a shot.
On 6/19/19, 12:42 PM, "Bruno Cadonna" wrote:
Hi Mohan,
I realized that my previous statement was not clear. With a grace
period of 12 hour, suppress would wait for late events until stream
time has advanced 12 hours before a resul
No, I have not set any grace period. Is that mandatory ? Have you seen problems
with suppress and windows expiring ?
Thanks
Mohan
On 6/19/19, 12:41 AM, "Bruno Cadonna" wrote:
Hi Mohan,
Did you set a grace period on the window?
Best,
Bruno
On T
t there an order in the way windows
are closed ? As event time progresses by the new messages arriving, the older
ones should expire. Is that right understanding or not ?
Thanks
Mohan
On 6/17/19, 3:43 PM, "Parthasarathy, Mohan" wrote:
Hi,
We are using suppress in the appl
next stage. It is
as though the state created earlier was purged. Is this possible ?
Thanks
Mohan
Hi,
Is there a way to know about the currently open windows that is currently not
expired yet ? We are trying to track down a problem where some messages are
read by the application but then we don’t see the actual processing of the
message by the application.
Thanks
Mohan
ompaction affects the rebuilding time ? Sorry, I am not
sure I understand what you meant by this in the current context.
-mohan
On 6/10/19, 10:22 AM, "Parthasarathy, Mohan" wrote:
Thanks. That helps me understand why recreating state might take time.
-mohan
Thanks. That helps me understand why recreating state might take time.
-mohan
On 6/9/19, 11:50 PM, "Matthias J. Sax" wrote:
By default, Kafka Streams does not "close" windows.
To handle out-of-order data, windows are maintained until their
retention
Pavel,
Thanks for the pointer. I will take a look.
-mohan
On 6/8/19, 4:29 PM, "Pavel Sapozhnikov" wrote:
I suggest take a look at Strimzi project https://strimzi.io/
Kafka operator deployed in Kubernetes environment.
On Sat, Jun 8, 2019, 6:09 PM Parthasara
the whole store retention time
? Could you clarify ?
Thanks
Mohan
On 6/8/19, 11:18 PM, "Matthias J. Sax" wrote:
If depends how much state you need to restore and how much restore-time
you can accept in your application.
The amount of data that needs to be restore
that it was handling before. I
had an instance of such a restart where it was running a long time in REBALANCE
which makes me think that my understanding is incorrect. In this case, the
state store was available during the restart. Can someone clarify ?
Thanks
Mohan
I am a little confused by what you say. I can see how it has to build the state
when it is not available on restart but i don’t think it will process old
messages from input topics. It should start from the last committed offset
whatever that is before the crash. Could you confirm ? I thought th
? It seems to be okay but not sure
about what we are missing
From: Bruno Cadonna
Sent: Tuesday, June 4, 2019 11:53 PM
To: users@kafka.apache.org
Subject: Re: RecordCollectorImpl: task [1_1] Error sending records
Hi Mohan,
Could you post the log messages you see
amount of
binary data. How can I turn this off ?
Thanks
Mohan
Hi,
When applications are restarted, I see it go into rebalancing state. Is it
trying to recreate state from the state store files ? I am seeing an
application stuck for a long time and wondering how to debug the application in
this state ?
Thanks
Mohan
Thanks. Unfortunately, this leads to lot of open file descriptors in the
application. Anyone else faced that situation ? I will increase the limit for
now.
Thanks
Mohan
On 5/16/19, 5:18 AM, "Matthias J. Sax" wrote:
This is how RocksDB works, and it's normal.
Hi,
I am seeing multiple state store files (.sst) created under each
directory. Is this normal ? If an application crashes
and comes back, would it cause this ?
Thanks
Mohan
;:"host1:4443,host2:4443,host3:4443,host4:4443,host5:4443"}
Could you please comment on what could be causing the issue?
--
Atul Mohan
Hi,
I am investigating Kafka as a message bus service for my MANO Monitoring
module. I have a python producer that will take the message from a file and
will put it in the message bus in json format. I have a consumer that reads the
message and does some operation in the external OpenStack API.
Hello Experts,
I am trying to replicate data between On Prem Kafka Cluster(Source) and
another Kafka cluster (Target?) set up in a Cloud provider environment.
The On-Prem to cloud is connected via IPSec VPN and Mirror maker tool is
used on 0.10.2.x version.
The consumer configs are as fo
Any body know the end to end hadoop data flow which has Kafka - spark
integration.
I am primarily concerned on how kafka messages written to kafka partition
gets captured into files?
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