Writing to a file in Apache Spark

Question

I am writing a Scala code that requires me to write to a file in HDFS. When I use Filewriter.write on local, it works. The same thing does not work on HDFS. Upon checking, I found that there are the following options to write in Apache Spark- RDD.saveAsTextFile and DataFrame.write.format .

My question is: what if I just want to write an int or string to a file in Apache Spark?

Follow up: I need to write to an output file a header, DataFrame contents and then append some string. Does sc.parallelize(Seq(<String>)) help?

Answer 1

create RDD with your data (int/string) using Seq : see parallelized-collections for details:

sc.parallelize(Seq(5))  //for writing int (5)
sc.parallelize(Seq("Test String")) // for writing string

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val conf = new SparkConf().setAppName("Writing Int to File").setMaster("local")
val sc = new SparkContext(conf) 
val intRdd= sc.parallelize(Seq(5))   
intRdd.saveAsTextFile("out\\int\\test")

---

val conf = new SparkConf().setAppName("Writing string to File").setMaster("local")
val sc = new SparkContext(conf)   
val stringRdd = sc.parallelize(Seq("Test String"))
stringRdd.saveAsTextFile("out\\string\\test")

Answer 2

Follow up Example: (Tested as below)

val conf = new SparkConf().setAppName("Total Countries having Icon").setMaster("local")
val sc = new SparkContext(conf)

val headerRDD= sc.parallelize(Seq("HEADER"))

//Replace BODY part with your DF
val bodyRDD= sc.parallelize(Seq("BODY"))

val footerRDD = sc.parallelize(Seq("FOOTER"))

//combine all rdds to final    
val finalRDD = headerRDD ++ bodyRDD ++ footerRDD 

//finalRDD.foreach(line => println(line))

//output to one file
finalRDD.coalesce(1, true).saveAsTextFile("test") 

---

output:

HEADER
BODY
FOOTER

more examples here. . .