July 2017
Intermediate to advanced
796 pages
18h 55m
English
Content preview from Scala and Spark for Big Data Analytics
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SequenceFileRDD
SequenceFileRDD is created from a SequenceFile which is a format of files in the Hadoop File System. The SequenceFile can be compressed or uncompressed.
Map Reduce processes can use SequenceFiles, which are pairs of Keys and Values. Key and Value are of Hadoop writable datatypes, such as Text, IntWritable, and so on.
The following is an example of a SequenceFileRDD, which shows how we can write and read SequenceFile:
scala> val pairRDD = statesPopulationRDD.map(record => (record.split(",")(0), record.split(",")(2)))pairRDD: org.apache.spark.rdd.RDD[(String, String)] = MapPartitionsRDD[60] at map at <console>:27scala> pairRDD.saveAsSequenceFile("seqfile")scala> val seqRDD = sc.sequenceFile[String, String]("seqfile")seqRDD: ...Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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