Spark [Hash Partition] Explained {தமிழ்}

[@robinfelix3879]

Amazing explanation . Thanks

[@sdk3775]

Bro.. semmaya explain pandringa bro

[@dataengineeringvideos]

🙂❤️

[@umashiva7348]

Nice explanation

[@sudharsanbabu4456]

Excellent Explanation sir

[@vishnupriyapalani8566]

Please upload videos on broadcast and accumulator in spark

[@done1341]

Simple and Detailed Explanation bro !!! , Hash Partition = Hash Key % No. of Output ( Partitions )

[@dataengineeringvideos]

Excellent :)

[@vishnuthirumurugan749]

What if 'hi' also receives even number by hashing (as it is decided by spark internally). At that time, part-00001 will be empty ?

[@ittecheval1868]

boss, you well said, what is parallelism and grouping clearly with state exam result..

[@dhivyarajendran627]

Do video on joins broadcast, shuffle hash , sort merge

[@abhinavdang1267]

sir, you need to put this video in tamil playlist. :) Thanks for very good videos with very crisp and clear explanations.

[@dupatisaimanoj5626]

Hi @dataengineering , as you said no of task creatred is equal to no of blocks ,in this example data size is small , usually hdfs block size is 128 mb right , even though why its splitted into two blocks .

[@dupatisaimanoj5626]

One more doubt , if data is in two blocks during spark submit if we provide one executor and 5 cores per executor , During that time only two task get created other three cores will be in ideal or how its going to work , please explain that

[@dharmarajm2646]

Data analytics vs data engineering ethukku bro job adigama iruku