Kafka Tutorial - Callback & Acknowledgment

[@ScholarNest]

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[@mkvjaipur]

your entire series is short and crispy , even anyone can learn kafka within a day. Thanks Buddy.

[@skkkks2321]

Hello friends,I would like to thank Mr Mayank Pandey for creating this awsome,flawless,rich of knowledge , with a simple and easy to understanding dialogue delivery.Without hasitation this is the The best series of Kafka (not to mention he has some more equally better series of cources/ videos on his channel).Why I am mentioning that is ,participants who wathched and commented /suscribed his channel put some very interesting questions and got very knowledgable answer.So Not only watch the videos but also read the Que and Ans asked in the comment section.So hold tight and have a very interesting journy of learning ---and its free.A great thank you to Mr Mayank Pandey...keep doing it .

[@ScholarNest]

Who is Mayank Pandey? :-)

[@dasikalyan]

These are really very good videos.. in depth and explained very clearly. Thank you for providing these.

[@ruchibhagwat1580]

is there a tutorial for acknowledgment in kafka consumer?If yes,can you share the link? TIA

[@protyaybanerjee5051]

Great explanation Sir. Kya baat!

[@shareefalshareef7149]

Can I use this code to express the UDP ?? When I want to make it reliable like TCP?

[@ronakjain7914]

Is there a way to publish an event on topic saying all messages are published and for our consumer to just poll once this event is available that all messages are published now, start consuming. ?

[@SP-xi8su]

Sir can you help for python. As it depends on poll. Also do ack required to set all or 1 or 0 for a call back to work properly

[@viren4me]

Hey what do you suggest for aws lambda process writing to kafka with no scope for message loss. AS callback will keep java function alive till it gets response.

[@AlokSingh-fj4nm]

best tutorial, thanks for your effort to educate us. thanks alot. please let me know if there is Spark tutorials.

[@ramasubbareddy6147]

great videos

[@chadjensen7248]

Great Tutorial. Thank you so much!

[@SatishKumar-yi8qi]

Suppose kafka server is down will the code will catch the exception and tell server is down..

[@harikrishnathariboyina6005]

Thanks for such a useful demo. I have got a problem while getting the offset no after successfully publishing the message, once i send the message using callback class i am checking if any error occur or not ? using RecordMetadata data i am logging the offset id but i am getting always -1 as offset if for all the messages. could you please suggest.

[@arkadey3241]

Hello Sir, I read some where "For a producer we have three choices. On each message we can (1) wait for all in sync replicas to acknowledge the message, (2) wait for only the leader to acknowledge the message, or (3) do not wait for acknowledgement." So in your video for the callback method usage is the 2nd point that is mentioned above?

[@nitusharma9397]

Hi Sir, I have one question if one message is consumed by multiple consumers then why we need to keep all these consumers, in different consumer groups. Can you please explain to me.

[@ragavkb2597]

Great tutorial. Is there a way to receive a call back only incase of error(something like onError), instead of receiving call back for all(onCompletion). Thanks

[@shravankumar-hm4ed]

Hello Ragav, Were you able to get the error when there for a failure scenario I'm also looking for the same

[@amitsingh7303]

Can you please share some real life usage/examples of Kafka for Synchronous Send ?

[@ScholarNest]

Any system where you can't afford to loose a record to write and update a flag back in your local system for success. I have seen it in retail. at least.

[@mikelongjam5503]

Hi, How multi threaded Producer will work when u have single source of streaming data? Lets say we have 3 producer thread. how each producer will know from where the data consumption will start? we don't want each producer to consume the same data(duplicate). Please let me how we can achieved this. Thanks

[@ScholarNest]

Kafka doesn't have any control over data source, so you have to handle producer coordination yourself. When it comes to the consumer, data is with Kafka, so it provides you facilities to coordinate among consumers.

[@mikelongjam5503]

Thanks for the reply

[@aakashmalhotra3094]

acknowledgement spelling is wrong