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Deep Dive: Apache Spark Memory Management 

Spark Summit
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21 авг 2024

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Комментарии : 13   
@oldoctopus393
@oldoctopus393 Год назад
the answers to almost all my questions on the topic are given in 26 min video. Awesome!
@sankarramanathan6051
@sankarramanathan6051 5 лет назад
This was a really good presentation. Very unassuming, to the point with lucid slides.
@laeeqahmed1980
@laeeqahmed1980 7 лет назад
It would be nice to have this kind of execution, storage visualization in Spark UI.
@harshitsaini15
@harshitsaini15 4 года назад
Its available at executors/storage tab, port 4040 by default.
@ankireddyambati7638
@ankireddyambati7638 4 года назад
Great Talk
@anfield6321
@anfield6321 3 года назад
kpii left TNC for this? NotLikeThis
@joo02
@joo02 Год назад
my head = 1min.:D
@kk-si6fy
@kk-si6fy 7 лет назад
Since memory can always spill to disk when do we ever run out of Memory?
@verma.chitral
@verma.chitral 7 лет назад
kk8866 you run out of memory when you try to accumulate results that have a size greater than the memory you have on driver as a result of some action like take(). it also happens when you are making large objects.
@vikashpareek8374
@vikashpareek8374 4 года назад
@@verma.chitral This is the case when the driver runs out of memory. But why executors run out of memory?
@vikashpareek8374
@vikashpareek8374 4 года назад
Did you get the answer to why executors run out of memory when memory can be spill to disk?
@verma.chitral
@verma.chitral 4 года назад
Easy, it happens due to gc overheads and oom s. When you're creating objects at greater rate they can be gc'd.
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