Ashutosh,
The counter will certainly be an parellization issue when multiple nodes are
used specially over massive datasets.
A better approach would be to use some thing along these lines:

    val index = sc.parallelize(Range.Long(0, rdd.count, 1),
rdd.partitions.size)
    val rddWithIndex = rdd.zip(index)
Which zips the two RDD's in a parallelizable fashion.




--
View this message in context: 
http://apache-spark-developers-list.1001551.n3.nabble.com/MLlib-Contributing-Algorithm-for-Outlier-Detection-tp8880p9399.html
Sent from the Apache Spark Developers List mailing list archive at Nabble.com.

---------------------------------------------------------------------
To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org
For additional commands, e-mail: dev-h...@spark.apache.org

Reply via email to