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This article mainly explains "how to obtain the operator of Spark core", the content of the explanation is simple and clear, easy to learn and understand, now please follow the editor's train of thought slowly in depth, together to study and learn "how to obtain the operator of Spark core"!

Transformation filter operator

Map: (map flatMap mapPartitions mapPartitionWithIndex) filter

ByKey operator

Grouping: groupByKey sorting: sortByKey Statistics: countByKey reduce processing: (reduce reduceByKey aggregateByKey)

Acquisition operator

Take takeSample collect saveAsTextFile

Two set operators

Intersection: intersection Union: union Cartesian Product: cartesian join cogroup

Individual set processing operator

Weight removal: distinct Statistics: count

Partition management operator

Compression: coalesce reset: repartition thank you for reading, the above is "how to obtain the operator of Spark core" of the content, after the study of this article, I believe that you have a deeper understanding of how to obtain the operator of Spark core, the specific use of the situation also needs to be verified in practice. Here is, the editor will push for you more related knowledge points of the article, welcome to follow!

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