I really appreciate your time and efforts in making quality videos. Please explain us how these different memory allocations cause problems or exceptions. How to solve these exceptions or problems. A screen shot of the possible issues and code/configuration changes to solve the issue will be really helpful and we would be really greatful if you could provide these details as well. Once again I appreciate your work and efforts
@anupambiswas25884 жыл бұрын
Very well explained. But a follow up video on the practical implementation will be appreciated. Anyways great effort!!
@shubhamshingi46574 жыл бұрын
very good explanation and up to the point, thanks for this
@gopinathchandrasekaran52353 жыл бұрын
Great Video !!
@sanskarsuman589 Жыл бұрын
you said that reservedmemory is a part of executor memory but in diagram you are showing 1gb of executor memory plus 300 m of reserved memory???
@nibeshranjanprusty98184 жыл бұрын
Hi Sir,the doubts fog clearing from mind after watching your spark videos,kindly make one session on real-time project from requirement to deployment it will very helpful ,Thank you.
@sureshu56713 жыл бұрын
Good information. thanks
@engineerbaaniya48462 жыл бұрын
Well explained
@gobieee13 жыл бұрын
good explanation, btw, Is there any way to increase the executor memory dynamically?
@shyamsundar86653 жыл бұрын
What is the reserved used for or responsible for ?
@rajendraprasad86564 жыл бұрын
Hi, Your videos are giving a good real time knowledge on spark and i thank you for that.. Could you please make a video on how to submit spark code(Pyspark) using shell script. also how to submit a spark job using shell script if both can be done differently. Thanks in advance
@Ahyan-muhsin3 жыл бұрын
how do we find out if any executor is overallocated memory with --executor-memory but actually the job needs very less memory than provided executor memory parameter . Does this cause spark executer to reserve this memory and not being useful for other executors ?
@gsekhar43672 жыл бұрын
Can u pls do video on data skewness and on schema registry
@sujaykbful4 жыл бұрын
Can you explain erasure coding vs replication
@TheMan.00104 жыл бұрын
amazing
@DataSavvy4 жыл бұрын
Thanks Mani
@saurabhgulati25054 жыл бұрын
Where does resource manager such as yarn overhead lies in executor memory?
@veereshhosagoudar8753 жыл бұрын
Reserved memory is heap memory
@tanushreenagar31162 жыл бұрын
nice
@SuperDinu4u4 жыл бұрын
If execution memory can evict blocks of data from storage memory, what happens to those evicted blocks if they are to be consumed again Will they be computed again and stored again
@pratiksingh94804 жыл бұрын
@Data Savvy Same question I too have . When execution memory evicts storage memory , does it spill to disk ?
@saurav07774 жыл бұрын
Can u pls show how to monitor this memory usage and distribution via spark URL in your next upload?
@i_ambhosale3 жыл бұрын
If data size is 16Gb and memory is 20GB what will use cache or persist?
@shubhamgupta93754 жыл бұрын
How to verify this if storage memory is not evicting execution memory
@projjalchakraborty18064 жыл бұрын
How to resolve OOM using above discussed concept???
@pradipchinuke15394 жыл бұрын
१ video on How to validate data..?
@DataSavvy4 жыл бұрын
Thanks... Added this to my list
@zillala45534 жыл бұрын
@@DataSavvy thank you 👍👍
@fuatylmaz91324 жыл бұрын
I respect your effort but I expected more detailed video not such a basic video
@TheMan.00104 жыл бұрын
Hello sir, I have some questions if you could answer in free time when i read spark.read.csv(and provide inferSchema=True) Does it take all rows to guess the datatype of a column what is sampleRatio option in spark.read.csv ? is it related to infershema can i tell spark to use all rows while infering the schema for a column
@rajdeepsinghborana24094 жыл бұрын
Sir Is Hadoop and Spark are dying 😞
@pratiksingh94804 жыл бұрын
चचा kahan se sun liye
@rajdeepsinghborana24094 жыл бұрын
@@pratiksingh9480 yhi se chachaa 😂
@bramar12784 жыл бұрын
Hi Harjeet, I am experienced professional who need some help in understanding current market conditions for future planning purposes (a kind of short call for mentoring). Please let me know if you can provide 10-15 min time.