Understanding Spark parallelize method
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Recently I came across an online video where the instructor suggested that the parallelize in spark (sc.parallelize) method should never be used in production environment and is fit for prototyping purposes only.
I understand it is used to convert a collection to rdd in spark. And as per the video it is not a recommended practice.
Tried to do some research on this and came up empty. Want to understand what's the problem as i've seen this being used in production at scale and could there be scope of improvement? Also what would be the recommended approach?
apache-spark rdd
asked Nov 26 '18 at 15:42
SnehansuSnehansu
83
add a comment |
Recently I came across an online video where the instructor suggested that the parallelize in spark (sc.parallelize) method should never be used in production environment and is fit for prototyping purposes only.
I understand it is used to convert a collection to rdd in spark. And as per the video it is not a recommended practice.
Tried to do some research on this and came up empty. Want to understand what's the problem as i've seen this being used in production at scale and could there be scope of improvement? Also what would be the recommended approach?
apache-spark rdd
asked Nov 26 '18 at 15:42
SnehansuSnehansu
83
add a comment |
Recently I came across an online video where the instructor suggested that the parallelize in spark (sc.parallelize) method should never be used in production environment and is fit for prototyping purposes only.
I understand it is used to convert a collection to rdd in spark. And as per the video it is not a recommended practice.
Tried to do some research on this and came up empty. Want to understand what's the problem as i've seen this being used in production at scale and could there be scope of improvement? Also what would be the recommended approach?
apache-spark rdd
asked Nov 26 '18 at 15:42
SnehansuSnehansu
83
Recently I came across an online video where the instructor suggested that the parallelize in spark (sc.parallelize) method should never be used in production environment and is fit for prototyping purposes only.
I understand it is used to convert a collection to rdd in spark. And as per the video it is not a recommended practice.
Tried to do some research on this and came up empty. Want to understand what's the problem as i've seen this being used in production at scale and could there be scope of improvement? Also what would be the recommended approach?
apache-spark rdd
apache-spark rdd
asked Nov 26 '18 at 15:42
SnehansuSnehansu
83
asked Nov 26 '18 at 15:42
SnehansuSnehansu
83
asked Nov 26 '18 at 15:42
SnehansuSnehansu
83
asked Nov 26 '18 at 15:42
SnehansuSnehansu
83
asked Nov 26 '18 at 15:42
SnehansuSnehansu
83
83
add a comment |
add a comment |
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