Kafka Tutorial Offset Management
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- Опубликовано: 4 окт 2024
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Exactly what I was looking for and very clear of what to do, even though I am using a different programming language. Thank you for the knowledge shared.
Very good video sir , my doubt is clear now much more helpful 🙏
awesome... Thats the one word that i can think of to describe your work.
excellent explanation ... I liked your playlist for Kafka , very clear and covered several points in each short video .. just play for an hour you will get to know lot about Kafka !!
Great explanation. Started exploring your other videos.
kudos to you sir for such a wonderful effort in making these videos.
Excellent explanation, Covering various scinarios
sir your videos are really good.
Thank you Mr. Indian guy. I love you.
Nice tutorial..... Learnt lot of things here... Thanks a lot sir for the videos
exemplary teaching..really excellent...learnt a lot of things...
Hi,Thank you sir for sharing your knowledge.The way u take the concept and explaining is awesome. After watching your spark videos i got the confidence that i can face interviews with more confidence .Thanks for showing way how to do in real time using GCP.
Now i started learning kafka parallel with spark. These videos are in terminal.Can you please explain kafka also in real time with GCP. That will be a great advantage for those who are moving to this ecosystem. Thank you
Great explanation, thanks!
What happens if commitAsync has been failing from longer time let say more than 1 hours and if we restart the application after that it will process the duplicates records . How to handle such scenarios?
Nice explanation! Found it useful
Excellent sir
Hi, let's assume we have 3 topics with 1 partition each. There are 10 consumer groups, each group has a single consumer and each consumer is going to read all the three topics. So in that scenario, how offset will be maintained by each consumer?
Very nice content. Is the video streaming slow only for me?
Great
Is Kafka allows to commit a higher offset before committing a lower offset?
How does kafka handle, multiple consumers subscribing to the same topic? single publisher multiple consumers problem, as there is a restriction that only one consumer can read the partition.
Very good
Hi, In the example why would one want to commit sync in case of an exception. If there is an exception in mid processing i.e. one has processed only 10 messages out of 50 messages pulled from kafka won't a commit sync incorrectly set the committed offset at 50. However since there was an exception messages 11 to 50 never get processed because commit sync was invoked. Can you please clarify. Thanks!
Yes, you are correct. Thanks for pointing this out. You watched carefully :-)
I should use a particular offset in the commit sync instead of committing current offset. Using appropriate offset will make sure that only 10 messages that I successfully processed are Committed.
Sure :).Your tutorials are extremely clear in communication. Can you please do a tutorial on the use of schema registry and it's implementation when consuming avro messages in Kafka. Thanks!
I am working on Schema Registry Example and Avro Schema, Will upload it soon. Thanks.
Awesome! eagerly looking forward to it. Thanks
After 100 records are fetched by a consumer for processing, and 50 records are processed, for whatever reason a re-balance is triggered in the broker, the consumer still processes the remaining 50 records - is this correct ? ( I assuming that there's no way for the broker to stop the consumer because consumer is a stand-alone application and the communication is uni-directional from consumer to broker and not the other way )
You are correct in saying that broker has no way of stopping the consumer, but the Broker blocks the poll call during the rebalance.
Is there anyway to see the committed offsets???
Thank you sir for valuable information.
What if while reading from broker there will be an exception occurs on consumer side in async commit. so required to data to be read once again. But in async communication may be higher ordered can be committed on top of that, than ?
Happy Holi :-)
sir. I have a doubt. In my code, I have set my enable auto commit to true and the interval as 1000 ms, yet I get the following error
ERROR o.a.k.c.c.i.ConsumerCoordinator - Error UNKNOWN_MEMBER_ID occurred while committing offsets for group
From the error I am assuming that its because the coordinator would have called for a partition rebalance, before the consumer goes to commit the offset, whereas the heartbeat interval is set to 3000. What could be the possible reason for this error then??
Is the number of records fetched by poll() configurable ?
No
At 1:08, shouldn't it be 99 for M100?
It always points to the record that should be sent on next request. For 100 records delivered, offset 0-99 are done, the next one is 100. So 100 is correct.
I meant the following: We assumed having 100 messages in the partition, so offsets should be 0-99. As M1 has offset 0, M100 should have offset 99.
Can we delete specific offset ?
Why would you want to do that?
Sorry for the late...Sir, actually interviewer asksed me to do that.