Remove squishPandaFromPace example

src/main/java/com/highperformancespark/examples/dataframe/JavaHappyPandas.java

@@ -1,25 +1,17 @@
 package com.highperformancespark.examples.dataframe;
 
-import com.highperformancespark.examples.objects.JavaRawPanda;
 import org.apache.spark.api.java.JavaRDD;
 import org.apache.spark.api.java.JavaSparkContext;
 import org.apache.spark.sql.Column;
 import org.apache.spark.sql.DataFrame;
-import org.apache.spark.sql.Row;
 import org.apache.spark.sql.SQLContext;
 import org.apache.spark.sql.expressions.Window;
 import org.apache.spark.sql.expressions.WindowSpec;
 import org.apache.spark.sql.hive.HiveContext;
 import org.apache.spark.sql.hive.thriftserver.HiveThriftServer2;
-import scala.collection.JavaConversions;
-import scala.collection.mutable.Buffer;
-import scala.reflect.api.TypeTags;
 
-import java.util.Arrays;
 import java.util.HashMap;
-import java.util.List;
 import java.util.Map;
-import java.util.stream.Collectors;
 
 import static org.apache.spark.sql.functions.*;
 
@@ -97,37 +89,6 @@ public DataFrame minHappyPandas(DataFrame pandaInfo, int minHappyPandas) {
     return pandaInfo.filter(pandaInfo.col("happyPandas").geq(minHappyPandas));
   }
 
-  /**
-   * Extra the panda info from panda places and compute the squisheness of the panda
-   */
-  public DataFrame squishPandaFromPace(DataFrame pandaPlace) {
-    Buffer<Column> inputCols = JavaConversions.asScalaBuffer(Arrays.asList(pandaPlace.col("pandas")));
-
-    TypeTags.TypeTag tag = null; // TODO don't know how to create Type Tag in java ??
-
-    DataFrame pandaInfo = pandaPlace.explode(inputCols.toList(), r -> {
-      List<Row> pandas = r.getList(0);
-      List<JavaRawPanda> rawPandasList = pandas
-        .stream()
-        .map(a -> {
-          long id = a.getLong(0);
-          String zip = a.getString(1);
-          String pt = a.getString(2);
-          boolean happy = a.getBoolean(3);
-          List<Double> attrs = a.getList(4);
-          return new JavaRawPanda(id, zip, pt, happy, attrs);
-        }).collect(Collectors.toList());
-
-      return JavaConversions.asScalaBuffer(rawPandasList);
-    }, tag);
-
-    DataFrame squishyness =
-      pandaInfo.select((pandaInfo.col("attributes").apply(0).divide(pandaInfo.col("attributes")).apply(1))
-        .as("squishyness"));
-
-    return squishyness;
-  }
-
   /**
    * Find pandas that are sad.
    */
@@ -201,8 +162,8 @@ public void startJDBCServer(HiveContext sqlContext) {
 
   /**
    * Orders pandas by size ascending and by age descending.
-   * Pandas will be sorted by "size" first and if two pandas have the same "size"
-   * will be sorted by "age".
+   * Pandas will be sorted by "size" first and if two pandas
+   * have the same "size"  will be sorted by "age".
    */
   public DataFrame orderPandas(DataFrame pandas) {
     return pandas.orderBy(pandas.col("pandaSize").asc(), pandas.col("age").desc());