How to use saveAsTextFiles in spark streaming

[#1]

Hi,

It is simple to display the result in RDD, for example:

val sc = new SparkContext(conf)
val textFile = sc.textFile("/root/file/test")
val apps = textFile.map (line => line.split(";")(0))
    .map(p=>(p,1)) // convert to countable tuples
    .reduceByKey(_+_) // count keys
    .collect() // collect the result
    apps.foreach(println)

And I have the result in my console.And if I want to save the output to a file I do:

apps.saveAsTextFiles("/root/file/file1")

But how I can do it now with DStream,this is my code:

val sc = new SparkContext(conf)
val ssc = new StreamingContext(sc, Seconds(10))
  val file = ssc.textFileStream("/root/file/test")
  var test = file.map(x => (x.split(" ")(0)+";"+x.split(" ")(1), 1)).reduceByKey((x,y) => x+y)
  test.saveAsTextFiles("/root/file/file1")
    sc.stop()  
  }
}

But it doesn't work.

Any help please !!

[#2]

16/04/06 14:09:52 INFO FileInputDStream: Duration for remembering RDDs set to 60000 ms for org.apache.spark.streaming.dstream.FileInputDStream@4bf57335
Exception in thread "main" java.lang.NoSuchMethodError: org.apache.spark.util.ThreadUtils$.runInNewThread$default$2()Z
	at org.apache.spark.streaming.StreamingContext.liftedTree1$1(StreamingContext.scala:606)
	at org.apache.spark.streaming.StreamingContext.start(StreamingContext.scala:600)
	at com.org.file.filecount.FileCount$.main(FileCount.scala:52)
	at com.org.file.filecount.FileCount.main(FileCount.scala)

there's a mismatch in the versions of dependencies and runtime so i do :

            <dependency>
		<groupId>org.apache.spark</groupId>
		<artifactId>spark-core_2.10</artifactId>
		<version>1.6.1</version>
	    </dependency>
	    <dependency>
		<groupId>org.apache.spark</groupId>
		<artifactId>spark-streaming_2.10</artifactId>
		<version>1.6.1</version>
	    </dependency>

And i am getting error like as the following :

16/04/07 11:23:56 WARN FileInputDStream: Error finding new files
java.io.IOException: Incomplete HDFS URI, no host: "/root/file/test"

[#3 · Accepted solution]

I don't know why but I re-run and it works, but I have an empty _success file into the directory file1.

here is the complete code :

    def main(args: Array[String]) {
    val conf = new SparkConf()
    .setAppName("File Count")
    .setMaster("local[2]")

    val sc = new SparkContext(conf)
    val ssc = new StreamingContext(sc, Seconds(1))
    val file = ssc.textFileStream("/root/file/test/file")
   file.foreachRDD(t=> {
         val test = t.map(x => (x.split(" ")(0)+";"+x.split(" ")(1), 1)).reduceByKey((x,y) => x+y)
         test.saveAsTextFile("/root/file/file1")

})
  ssc.start()
  ssc.awaitTermination()
  }

[#4 · Accepted solution]

Thats because you have no new files arriving in the directory after streaming application starts.

You can try "cp" to drop files in the directory after starting the streaming application.