diff --git a/jvm/src/main/java/com/cloudera/tsexamples/JavaSingleSeriesARIMA.java b/jvm/src/main/java/com/cloudera/tsexamples/JavaSingleSeriesARIMA.java
index 8052611..1a720c6 100644
--- a/jvm/src/main/java/com/cloudera/tsexamples/JavaSingleSeriesARIMA.java
+++ b/jvm/src/main/java/com/cloudera/tsexamples/JavaSingleSeriesARIMA.java
@@ -1,7 +1,46 @@
 package com.cloudera.tsexamples;
 
 public class JavaSingleSeriesARIMA {
-  public static void main(String[] args) {
+public static void main(String[] args) throws NumberFormatException, IOException
+	{
+		String filename = "../spark-ts-examples/data/R_ARIMA_DataSet1.csv";
+		SparkConf conf = new SparkConf().setAppName("Spark Time Series");
+		JavaSparkContext sc = new JavaSparkContext(conf); 
+		
+		JavaRDD<String> ARIMA_DataSet1 = sc.textFile(filename);
+		JavaRDD<Double> data_points = ARIMA_DataSet1.map(new Function<String, Double>() {
 
-  }
+			@Override
+			public Double call(String line) throws Exception {
+				// TODO Auto-generated method stub
+				Double val = Double.parseDouble(line);
+				return val;
+			}
+			
+		});
+
+		List<Double> doubleList = data_points.collect();
+
+		Double[] doubleArray = new Double[doubleList.size()];
+		doubleArray = doubleList.toArray(doubleArray);
+
+		double[] values = new double[doubleArray.length];
+		for (int i = 0; i < doubleArray.length; i++){
+			values[i] = doubleArray[i];
+		}
+
+		Vector tsVector = Vectors.dense(values);
+		System.out.println("TS vector:" + tsVector.toString());
+
+		ARIMAModel arimaModel = ARIMA.autoFit(tsVector, 1, 0, 1);
+
+		System.out.println("*** ARIMA Model Coefficients ***");
+		for (double coefficient : arimaModel.coefficients()){
+			System.out.println("ARIMA model coefficient:" + coefficient);
+
+		}
+
+		Vector forecast = arimaModel.forecast(tsVector, 10);
+		System.out.println("ARIMA model forecast for next 10 observations:" + forecast);
+	}
 }