Thank you for the video. It was indeed a detailed explanation. Would request you to create more of End to End Project Explanation videos specially on projects related to Hive and Spark.
Sir this is awesome use case. It will be help full for us if you give the web app code and how to run it . This way we will get clear picture of how producers are integrated into web app
Comprehensive Tutorial! great job and thank you very much, I am stuck at 16:22 when using --jar as I keep getting "bad option --jar" appreciate if you can share exact command with an example
Nice demo! One question though, in your example, can Cassandra DB be the consumer to read Kafka message without Spark? I'm just not seeing the purpose of Spark Streaming here.
@@SathishKumar-mz7fw spark is for ETL (mostly for T = data transformation ) here we didnt see but in real time scenario T are there . like to crean the row data
Everything is working fine for me but records are not shown in Cassandra Table when select * query is fired on cassandra table. Please suggest the solution.
Any new video after this one in which problems faced in storing record into cassandra from spark? Everything is working fine except, record is not inserted in cassandra table. Any help?
Hi I have one doubt what if the same user visits same product but different server did the value count increases in cassandra or it will add as new record???
I am stuck at one point. I am using same versions of all applications which are used in your nice video and went nick to nick as per the video. I am not using JSP web application and only typing record in producer terminal and getting the response in Consumer Terminal but, record is not inserted in cassandra table. The Cassandra shell shows following warning scala> 22/10/26 12:02:06 WARN RandomBlockReplicationPolicy: Expecting 1 replicas with only 0 peer/s. 22/10/26 12:02:06 WARN BlockManager: Block input-0-1666765925800 replicated to only 0 peer(s) instead of 1 peers Please guide where I am wrong. With above problem solved will give me lot of confidence. Please help. Thanks
Why do we need a Spark in this use case. We can resolve the use case without Spark having a consumer application for Kafka (may be Spring Boot app) and write the same thing to Cassandra?
