PySpark | Session-9 | How spark executes a job internally | Stages and Tasks in Spark

[@rohitbhawle8658]

thank you sir you explain very efficient way

[@suman3316]

Thanks for your efforts to Make us understand

[@cleverstudies]

Thanks Suman.

[@krishnaawasthi2120]

very informative ! Thanks :)

[@GreatIndia1729]

Greate Explanation...Great Intention to inject the concept...👌👏

[@cleverstudies]

Great comment Chaitanya. Thanq 🙏

[@SonuKumar-fn1gn]

Very good explanation ❤

[@ps-up2mx]

Hi are u provide spark with scala in-depth course.?

[@sravankumar1767]

Superb explanation 👌 👏 👍

[@cleverstudies]

Thank you 🙂

[@abhipatil2554]

Excellent sir

[@cleverstudies]

Thanks Abhi.

[@venkatd3492]

I'm unable to join in WhatsApp group, it says group is full

[@cleverstudies]

Okay. I will check it. Meanwhile you can join to the telegram channel.

[@mission_possible]

Continue the series please

[@indianengineer5802]

Was this last session?

[@aritrachatterjee8292]

Thanks for the explanation. But Sir I need one explanation , why the number of tasks will be 8 if the no of partitions is 2 , Total no of tasks = (no of tasks per stage)* no of stages = 2*2 =4

[@andre__luiz__]

Hi! It's rdd's (4) x tasks per rdd (2) = 8 (total tasks)

[@vivek2319]

Video starts at 3:00, thank me later