diff --git a/p4/src/main/java/cs448/Project4.java b/p4/src/main/java/cs448/Project4.java
index 49c2bc3..87dc128 100644
--- a/p4/src/main/java/cs448/Project4.java
+++ b/p4/src/main/java/cs448/Project4.java
@@ -53,29 +53,131 @@ public class Project4 {
         Dataset<Row> ratingDF = spark.createDataFrame(ratingRDD, Rating.class);
         ratingDF.createOrReplaceTempView("Rating");
 
+        // Compute the result.
         Dataset<Row> resultDF = spark.sql("SELECT DISTINCT m.title FROM Movie m, Rating r, User u WHERE m.movieId = r.movieId AND r.userId = u.userId AND u.occupation = " +
                 conf.q1Occupation + " AND r.rating >= " + conf.q1Rating);
-        //resultDF.show();
-        resultDF.foreach(x -> System.out.println(x.getString(0)));
+        resultDF.show();
         resultDF.write().text(CS448Utils.resolveUri(conf.outPath, "query-1"));
 
-
         //Don't forget to stop spark session
         spark.stop();
     }
 
     public void runSparkApp2(App.Conf conf){
         System.out.println("Running Spark App for Query 2");
-        // Write your code here
+
+        // Create a Spark Session.
+        SparkSession spark = SparkSession.builder().appName("CS 448 Project 4 -- Query 2").getOrCreate();
+
+        // Write data processing code here
+        String dataFiles[] = {conf.usersFName, conf.moviesFName, conf.ratingsFName};
+        Dataset<String> data;
+
+        //// Reading, Parsing and counting lines for each of the data files
+        JavaRDD<User> userRDD = spark.read().textFile(CS448Utils.resolveUri(conf.inPath,conf.usersFName)).cache()
+                .javaRDD()
+                .map(User::parseUser);
+        Dataset<Row> userDF = spark.createDataFrame(userRDD, User.class);
+        userDF.createOrReplaceTempView("User");
+
+        JavaRDD<Movie> movieRDD = spark.read().textFile(CS448Utils.resolveUri(conf.inPath,conf.moviesFName)).cache()
+                .javaRDD()
+                .map(Movie::parseMovie);
+        Dataset<Row> movieDF = spark.createDataFrame(movieRDD, Movie.class);
+        movieDF.createOrReplaceTempView("Movie");
+
+        JavaRDD<Rating> ratingRDD = spark.read().textFile(CS448Utils.resolveUri(conf.inPath,conf.ratingsFName)).cache()
+                .javaRDD()
+                .map(Rating::parseRating);
+        Dataset<Row> ratingDF = spark.createDataFrame(ratingRDD, Rating.class);
+        ratingDF.createOrReplaceTempView("Rating");
+
+        // Compute the result.
+        Dataset<Row> resultDF = spark.sql("SELECT DISTINCT u.zip-code FROM User u WHERE u.occupation = " +
+                conf.q2Occupation1 + " OR u.occupation = " +
+                conf.q2Occupation2);
+        resultDF.show();
+        resultDF.write().text(CS448Utils.resolveUri(conf.outPath, "query-2"));
+
+        //Don't forget to stop spark session
+        spark.stop();
     }
 
     public void runSparkApp3(App.Conf conf){
         System.out.println("Running Spark App for Query 3");
-        // Write your code here
+
+        // Create a Spark Session.
+        SparkSession spark = SparkSession.builder().appName("CS 448 Project 4 -- Query 3").getOrCreate();
+
+        // Write data processing code here
+        String dataFiles[] = {conf.usersFName, conf.moviesFName, conf.ratingsFName};
+        Dataset<String> data;
+
+        //// Reading, Parsing and counting lines for each of the data files
+        JavaRDD<User> userRDD = spark.read().textFile(CS448Utils.resolveUri(conf.inPath,conf.usersFName)).cache()
+                .javaRDD()
+                .map(User::parseUser);
+        Dataset<Row> userDF = spark.createDataFrame(userRDD, User.class);
+        userDF.createOrReplaceTempView("User");
+
+        JavaRDD<Movie> movieRDD = spark.read().textFile(CS448Utils.resolveUri(conf.inPath,conf.moviesFName)).cache()
+                .javaRDD()
+                .map(Movie::parseMovie);
+        Dataset<Row> movieDF = spark.createDataFrame(movieRDD, Movie.class);
+        movieDF.createOrReplaceTempView("Movie");
+
+        JavaRDD<Rating> ratingRDD = spark.read().textFile(CS448Utils.resolveUri(conf.inPath,conf.ratingsFName)).cache()
+                .javaRDD()
+                .map(Rating::parseRating);
+        Dataset<Row> ratingDF = spark.createDataFrame(ratingRDD, Rating.class);
+        ratingDF.createOrReplaceTempView("Rating");
+
+        // Compute the result.
+        Dataset<Row> resultDF = spark.sql("SELECT DISTINCT m.movieId FROM Movie m, Rating r, User u WHERE m.movieId = r.movieId AND r.userId = u.userId AND u.occupation = " +
+                conf.q3Occupation + " AND r.rating = " + conf.q3Rating);
+        resultDF.show();
+        resultDF.write().text(CS448Utils.resolveUri(conf.outPath, "query-3"));
+
+        //Don't forget to stop spark session
+        spark.stop();
     }
 
     public void runSparkApp4(App.Conf conf){
         System.out.println("Running Spark App for Query 4");
-        // Write your code here
+
+        // Create a Spark Session.
+        SparkSession spark = SparkSession.builder().appName("CS 448 Project 4 -- Query 4").getOrCreate();
+
+        // Write data processing code here
+        String dataFiles[] = {conf.usersFName, conf.moviesFName, conf.ratingsFName};
+        Dataset<String> data;
+
+        //// Reading, Parsing and counting lines for each of the data files
+        JavaRDD<User> userRDD = spark.read().textFile(CS448Utils.resolveUri(conf.inPath,conf.usersFName)).cache()
+                .javaRDD()
+                .map(User::parseUser);
+        Dataset<Row> userDF = spark.createDataFrame(userRDD, User.class);
+        userDF.createOrReplaceTempView("User");
+
+        JavaRDD<Movie> movieRDD = spark.read().textFile(CS448Utils.resolveUri(conf.inPath,conf.moviesFName)).cache()
+                .javaRDD()
+                .map(Movie::parseMovie);
+        Dataset<Row> movieDF = spark.createDataFrame(movieRDD, Movie.class);
+        movieDF.createOrReplaceTempView("Movie");
+
+        JavaRDD<Rating> ratingRDD = spark.read().textFile(CS448Utils.resolveUri(conf.inPath,conf.ratingsFName)).cache()
+                .javaRDD()
+                .map(Rating::parseRating);
+        Dataset<Row> ratingDF = spark.createDataFrame(ratingRDD, Rating.class);
+        ratingDF.createOrReplaceTempView("Rating");
+
+        // Compute the result.
+        Dataset<Row> resultDF = spark.sql("SELECT m.title, AVG(r.rating) FROM Movie m, Rating r, User u WHERE m.movieId = r.movieId AND r.userId = u.userId AND u.age = " +
+                conf.q4Age);
+        resultDF.show();
+        resultDF.write().text(CS448Utils.resolveUri(conf.outPath, "query-4"));
+
+        //Don't forget to stop spark session
+        spark.stop();
     }
 }