May 2017
Intermediate to advanced
294 pages
7h 33m
English
Content preview from Apache Spark 2.x Cookbook
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Understanding resilient distributed dataset - RDD
Though RDD is getting replaced with DataFrame/DataSet-based APIs, there are still a lot of APIs that have not been migrated yet. In this recipe, we will look at how the concept of lineage works in RDD.
Externally, RDD is a distributed, immutable collection of objects. Internally, it consists of the following five parts:
- Set of partitions (rdd.getPartitions)
- List of dependencies on parent RDDs (rdd.dependencies)
- Function to compute a partition, given its parents
- Partitioner, which is optional (rdd.partitioner)
- Preferred location of each partition, which is optional (rdd.preferredLocations)
The first three are needed for an RDD to be recomputed in case data is lost. When combined, it is called ...
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