This is very helpful video to start with spark memory management. Thanks for posting

Great explanation on Spark Memory Management.

Thanks for your contributing your knowledge and experience to IT society.

@BigDataThoughts

3 жыл бұрын

Thanks Santosh

Nice explanation 👌👍👏

Hi Shreya, Very clear and precise info. Hoping for more on spark performance issues.

@BigDataThoughts

Жыл бұрын

Thanks Naveen

1 second ago Hi Shreya, Thanks for the video, wonderful presentation, and knowledge sharing. you are doing a great job and continue. Also, I like you to do practical experiments like spark in the future for practicing purpose.

@BigDataThoughts

3 жыл бұрын

Thanks Venkatesan

Very insightful!! Great job Shreya!

@BigDataThoughts

3 жыл бұрын

Thanks Ranjith

Awesome and concepts are very nicely guided

@BigDataThoughts

3 жыл бұрын

Thanks Rajni

Hi Shreya, thanks for the video, all viewers be safe

@BigDataThoughts

3 жыл бұрын

Thanks DN

Thanks for this. Could you explain the meaning of propagating internal data between cluster, which is done in storgae memory, is it not same as shuffling, which is taken xare in execution memory

This is what I am looking for Thankyou 🙏

@BigDataThoughts

3 жыл бұрын

Thanks Gaurav

Well explained. Please make videos on performance tuning in Spark

@BigDataThoughts

3 жыл бұрын

Thanks Anand. yes have plans to make on performance

This is gold .

@BigDataThoughts

3 жыл бұрын

Thanks Himansh

Just awesome tutorial.

@BigDataThoughts

3 жыл бұрын

Thanks Shivratan

Clear and lucid presentation mam 🙂

@BigDataThoughts

3 жыл бұрын

Thanks Shankar

Very nice

what is Kyro. you used this jargon so asking? how broadcasting works in detail is another question?

Good job!

@BigDataThoughts

7 ай бұрын

Thanks

plz cover encoders in spark

Its just awesome

@BigDataThoughts

3 жыл бұрын

Thanks Rajni

Can you please share information on calculating num executors, memory core, memory drivers

@BigDataThoughts

2 жыл бұрын

will make a video on that

around approx 07:20 - 08:00 mark, isnt the spark.memory.fraction and not spark.memory.storagefraction value that defines the amount of memory available for Unified memory(Execution+Storage). Out of that default spark.memory.storagefraction defines how much of that memory can be blocked for Storage so that amount of data doesnt get evicted?

@dhanunjaymantri1442

Жыл бұрын

yes the spark.memory.storageFracation is fraction of storage space out of total space allocated by spark.memory.fraction for execution and storage.

If you could explain user memory in little more details.

Can you make videos with practical example and can we use kryoserrialser in pyspark.

@BigDataThoughts

3 жыл бұрын

kyro is for java

nice explanation mam

@BigDataThoughts

Жыл бұрын

thanks shiva

Why there is no need of GC in off heap, how does that do clean up.

@anirbansom6682

9 ай бұрын

GC is only applicable for a JVM process. The off-heap memory is managed outside the executor JVM process. That's why GC cycle on executor JVM doesn't clean off-heap memory

Good video but noise in background