January 2019
Beginner to intermediate
154 pages
4h 31m
English
Content preview from Apache Spark Quick Start Guide
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join()
The join() transformation will join two pair RDDs based on their keys. The following example joins data based on the country and returns only the matching records:
//Scalaval salesRDD = spark.sparkContext.parallelize(Array(("US",20),("IND", 30),("UK",10)))val revenueRDD = spark.sparkContext.parallelize(Array(("US",200),("IND", 300)))salesRDD.join(revenueRDD).collect()Output:Array[(String, (Int, Int))] = Array((US,(20,200)), (IND,(30,300)))
There are some more transformations available on pair RDD such as aggregateByKey(), cogroup(), leftOuterJoin(), rightOuterJoin(), subtractByKey(), and more. Some of the special actions include countByKey(), collectAsMap(), and lookup().
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