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Spark memory management | OOM in executors | Interview questions  

pysparkpulse
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29 авг 2024

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Комментарии : 8   
@eternalsilvers5961
@eternalsilvers5961 4 месяца назад
If Execution Memory and Storage Memory both supports data spilling into Disks why does the OOM issues occurs?
@pysparkpulse
@pysparkpulse 4 месяца назад
There can be multiple reasons for this even if spill to disk is possible There are some tasks which requires certain execution memory and if it is not present it may lead to oom Or If we cache some bigger data the it may also lead to oom.
@dineshughade6741
@dineshughade6741 2 месяца назад
Could you share that ppt with us it would be great then
@pysparkpulse
@pysparkpulse Месяц назад
Please check the below link www.linkedin.com/feed/update/urn:li:activity:7160308705211645952?updateEntityUrn=urn%3Ali%3Afs_feedUpdate%3A%28V2%2Curn%3Ali%3Aactivity%3A7160308705211645952%29
@avinash7003
@avinash7003 6 месяцев назад
Please do explain GC
@pysparkpulse
@pysparkpulse 6 месяцев назад
Sure in the upcoming videos i will explain that thank you 😊
@avinash7003
@avinash7003 6 месяцев назад
what off heap memory does?
@pysparkpulse
@pysparkpulse 6 месяцев назад
I haven't discussed off heap in this video will create separate video on that
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