Greetings.
I have been following some of the tutorials online for Spark k-means
clustering. I would like to be able to just dump all the cluster values
and their centroids to text file so I can explore the data. I have the
clusters as such:
val clusters = KMeans.train(parsedData, numClusters,
Im trying to debug query results inside spark-shell, but finding it
cumbersome to save to file and then use file system utils to explore the
results, and .foreach(print) tends to interleave the results among the
myriad log messages. Take() and collect() truncate.
Is there a simple way to present
We have have some data on Hadoop that needs augmented with data only
available to us via a REST service. We're using Spark to search for, and
correct, missing data. Even though there are a lot of records to scour for
missing data, the total number of calls to the service is expected to be
low, so
How does one consume parameters passed to a Scala script via spark-shell
-i?
1. If I use an object with a main() method, the println outputs nothing as
if not called:
import org.apache.spark.SparkContext
import org.apache.spark.SparkContext._
import org.apache.spark.SparkConf
object Test {
I'm following some online tutorial written in Python and trying to convert
a Spark SQL table object to an RDD in Scala.
The Spark SQL just loads a simple table from a CSV file. The tutorial says
to convert the table to an RDD.
The Python is
products_rdd = sqlContext.table(products).map(lambda
