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This article mainly explains "what are the RDD operations of Spark". The content of the explanation is simple and clear, and it is easy to learn and understand. Please follow the editor's train of thought to study and learn "what are the RDD operations of Spark"?

RDD of Spark

Everything in Spark is based and centered on RDD:

The API for each RDD is as follows:

There are many RDD given in the Spark official documentation:

There are two types of operations in RDD: transformations and actions:

Here is an example to illustrate the use of RDD:

There are also two special RDD:

They are all controlling operations:

RDD is executed in parallel:

High Fault tolerance Mechanism lineage of Spark

Based on DAG diagrams, lineage is lightweight and efficient:

Operations have a lineage relationship with each other. Each operation only cares about its parent operation, and the data of each shard does not affect each other. When an error occurs, you only need to restore a specific part of a single Split:

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