Apache Spark - More Operations - Transformations & Actions

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Edit: at 2:48 to 2:50, it should be flatMap instead of map in var dbls = nums.map(MultiplyByTwo)

INSTRUCTIONS

flatMap

To convert one record of an RDD into multiple records
```
var linesRDD = sc.parallelize( Array("this is a dog", "named jerry"))
def toWords(line:String):Array[String]= line.split(" ")
var wordsRDD = linesRDD.flatMap(toWords)
wordsRDD.collect()
```
- Using Map
  
  var linesRDD = sc.parallelize( Array("this is a dog", "named jerry")) def toWords(line:String):Array[String]= line.split(" ") var wordsRDD1 = linesRDD.map(toWords) wordsRDD1.collect()
- flatMap as Map
  
  val arr = 1 to 10000 val nums = sc.parallelize(arr) def multiplyByTwo(x:Int) = Array(x*2) multiplyByTwo(5)
Write the following commands in a new cell:
```
var dbls = nums.flatMap(multiplyByTwo);
dbls.take(5)
```
- flatMap as filter
  
  var arr = 1 to 1000 var nums = sc.parallelize(arr) def isEven(x:Int):Array[Int] = { if(x%2 == 0) Array(x) else Array() }
Write the following commands in a new cell:
```
var evens = nums.flatMap(isEven)
evens.take(3)
```
- Transformations :: Union
  
  var a = sc.parallelize(Array('1','2','3')); var b = sc.parallelize(Array('A','B','C')); var c=a.union(b) c.collect();
- Actions: saveAsTextFile()
Saves all the elements into HDFS as text files.
```
var a = sc.parallelize(Array(1,2,3, 4, 5 , 6, 7));
a.saveAsTextFile("myresult");
```
Check the HDFS. There should myresult folder in your home directory.
- Actions: collect()
  
  var a = sc.parallelize(Array(1,2,3, 4, 5 , 6, 7)); a
Write the following commands in a new cell:
```
var localarray =  a.collect();
localarray
```
- Actions: take()
  
  var a = sc.parallelize(Array(1,2,3, 4, 5 , 6, 7)); var localarray = a.take(4); localarray
- Actions: count()
  
  var a = sc.parallelize(Array(1,2,3, 4, 5 , 6, 7), 3); var mycount = a.count(); mycount

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Apache Spark Basics

Apache Spark - More Operations - Transformations & Actions

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