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From won...@apache.org
Subject [incubator-nemo] branch master updated: [NEMO-45] Distributed Nemo-Spark (#18)
Date Thu, 24 May 2018 08:28:25 GMT
This is an automated email from the ASF dual-hosted git repository.

wonook pushed a commit to branch master
in repository https://gitbox.apache.org/repos/asf/incubator-nemo.git


The following commit(s) were added to refs/heads/master by this push:
     new 4da2fc8  [NEMO-45] Distributed Nemo-Spark (#18)
4da2fc8 is described below

commit 4da2fc8ef0dc301621881af6b214033e240e6125
Author: Sanha Lee <sanhaleehana@gmail.com>
AuthorDate: Thu May 24 17:28:23 2018 +0900

    [NEMO-45] Distributed Nemo-Spark (#18)
    
    JIRA: [NEMO-45: Distributed Nemo-Spark](https://issues.apache.org/jira/projects/NEMO/issues/NEMO-45)
    
    **Major changes:**
    - Enabled distributed Spark source read including yarn mode
      - Store commands which is used to create a `SparkSession` and recreate the session with the commands in `Executor`
      - Store `SparkConf` of `SparkContext` and recreate the context with the configuration in `Executor`.
    
    **Minor changes to note:**
    - Added `JavaMapReduce` example for Spark which is equivalent to `MapReduce` example of Beam.
    
    **Tests for the changes:**
    - `SparkDatasetBoundedSourceVertex` using `SparkSession`
      - Existing `testSparkWordCount` in `SparkITCase` cover this.
    - `SparkTextFileBoundedSourceVertex` using `SparkContext`
      - `testSparkMapReduce` is added in `SparkITCase` to cover this.
    
    **Other comments:**
    - None.
    
    resolves [NEMO-45: Distributed Nemo-Spark](https://issues.apache.org/jira/projects/NEMO/issues/NEMO-45)
---
 .travis.yml                                        |   3 +
 README.md                                          |   6 +-
 bin/{run.sh => run_beam.sh}                        |   0
 bin/run_external_app.sh                            |   3 +-
 bin/{run.sh => run_spark.sh}                       |   2 +-
 .../main/java/edu/snu/nemo/client/JobLauncher.java |  44 ++++++--
 .../main/java/edu/snu/nemo/common/ir/Readable.java |   5 +-
 .../java/edu/snu/nemo/common/test/ArgBuilder.java  |  10 +-
 .../frontend/spark/core/java/JavaPairRDD.java      |  17 +++
 .../compiler/frontend/spark/core/java/JavaRDD.java | 112 ++++++++++++------
 .../frontend/spark/core/java/JavaSparkContext.java |  33 ++++++
 ...x.java => SparkDatasetBoundedSourceVertex.java} |  64 ++++++-----
 .../frontend/spark/source/SparkSourceUtil.java     |  74 ++++++++++++
 .../source/SparkTextFileBoundedSourceVertex.java   | 125 +++++++++++++++++++++
 .../compiler/frontend/spark/sql/SparkSession.java  |   9 +-
 .../spark/transform/HDFSTextFileTransform.java     |  74 ++++++++++++
 .../spark/transform/LocalTextFileTransform.java    |  70 ++++++++++++
 conf/src/main/java/edu/snu/nemo/conf/JobConf.java  |   2 +-
 .../beam/AlternatingLeastSquareITCase.java         |  12 +-
 .../snu/nemo/examples/beam/BroadcastITCase.java    |  12 +-
 .../snu/nemo/examples/beam/MapReduceITCase.java    |  19 +---
 .../beam/MultinomialLogisticRegressionITCase.java  |   2 +
 ...es.json => beam_sample_executor_resources.json} |  10 +-
 ...s.json => spark_sample_executor_resources.json} |   6 +-
 examples/spark/pom.xml                             |  90 +++++++++++++++
 .../edu/snu/nemo/examples/spark/JavaMapReduce.java |  83 ++++++++++++++
 .../edu/snu/nemo/examples/spark/JavaSparkPi.java   |   2 +-
 .../edu/snu/nemo/examples/spark/SparkITCase.java   |  34 +++++-
 28 files changed, 802 insertions(+), 121 deletions(-)

diff --git a/.travis.yml b/.travis.yml
index d568369..7fbdee7 100644
--- a/.travis.yml
+++ b/.travis.yml
@@ -40,3 +40,6 @@ addons:
     organization: "apache-nemo"
     token:
       secure: "ZCt/oEtyomXzNtJIZUeTVuCN3tjJRqZ29OkLg/U3DJTHIqWcaLfaY4MRFJR4DLRwthB24le0UTcGhFZnzZcZU3ji+ADpF/21sIqMDZgPSaqnb45NBCcLRhDUxM6VmU+DevTU7ob6aGRatEGO+C49logQOQbWM6g3KTKeaCR/pds/6isEUJg8Yqj/Poorqy+DbcpaavHBRrg3Zyxi8xwR1teYo8b7lVVMyXvtEVg+YAPuRPMy7c01zGm0MDzngSL1Sv8Q3YmHsbO3SrIueo+Ik0umuTSKMU4pkRj9jIunpGV1UQ3h5LQHzU/9VnhlgTnK2Ut6fThDx9no7rJwUCfy3LTP0z0dN2hAgK43ZSxuM47lP/Bm4hDRCY7KFNNVxEVhA/5DboWhTQq+iPW0Cc0SztOTLR+j76Yh6qmHmN39OWF22UG34D2JFGGgqfWfXwOBxW4cXVxtFQVzsuBcbJ/5zw0gtuvcQ [...]
+
+env:
+  - HADOOP_HOME="/"
diff --git a/README.md b/README.md
index b50b917..fcbbe4e 100644
--- a/README.md
+++ b/README.md
@@ -87,7 +87,7 @@ Please refer to the [Contribution guideline](.github/CONTRIBUTING.md) to contrib
 ### Examples
 ```bash
 ## MapReduce example
-./bin/run.sh \
+./bin/run_beam.sh \
 	-job_id mr_default \
 	-executor_json `pwd`/examples/resources/sample_executor_resources.json \
 	-optimization_policy edu.snu.nemo.compiler.optimizer.policy.DefaultPolicy \
@@ -95,7 +95,7 @@ Please refer to the [Contribution guideline](.github/CONTRIBUTING.md) to contrib
 	-user_args "`pwd`/examples/resources/sample_input_mr `pwd`/examples/resources/sample_output_mr"
 
 ## YARN cluster example
-./bin/run.sh \
+./bin/run_beam.sh \
 	-deploy_mode yarn \
   	-job_id mr_pado \
 	-executor_json `pwd`/examples/resources/sample_executor_resources.json \
@@ -143,7 +143,7 @@ Nemo Compiler and Engine can store JSON representation of intermediate DAGs.
 
 ### Examples
 ```bash
-./bin/run.sh \
+./bin/run_beam.sh \
 	-job_id als \
 	-executor_json `pwd`/examples/resources/sample_executor_resources.json \
   	-user_main edu.snu.nemo.examples.beam.AlternatingLeastSquare \
diff --git a/bin/run.sh b/bin/run_beam.sh
similarity index 100%
copy from bin/run.sh
copy to bin/run_beam.sh
diff --git a/bin/run_external_app.sh b/bin/run_external_app.sh
index ec032f6..f17c812 100755
--- a/bin/run_external_app.sh
+++ b/bin/run_external_app.sh
@@ -15,5 +15,6 @@
 # limitations under the License.
 
 parent_path=$( cd "$(dirname "${BASH_SOURCE[0]}")" ; pwd -P )
-cd $parent_path
+pushd $parent_path
 java -cp examples/target/nemo-examples-0.1-SNAPSHOT-shaded.jar:$1:`yarn classpath` edu.snu.nemo.client.JobLauncher "${@:2}"
+popd
diff --git a/bin/run.sh b/bin/run_spark.sh
old mode 100755
new mode 100644
similarity index 85%
rename from bin/run.sh
rename to bin/run_spark.sh
index d8773da..bc7f5c2
--- a/bin/run.sh
+++ b/bin/run_spark.sh
@@ -14,4 +14,4 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
-java -Dlog4j.configuration=file://`pwd`/log4j.properties -cp examples/beam/target/nemo-examples-beam-0.1-SNAPSHOT-shaded.jar:`yarn classpath` edu.snu.nemo.client.JobLauncher "$@"
+java -Dlog4j.configuration=file://`pwd`/log4j.properties -cp examples/spark/target/nemo-examples-spark-0.1-SNAPSHOT-shaded.jar:`yarn classpath` edu.snu.nemo.client.JobLauncher "$@"
diff --git a/client/src/main/java/edu/snu/nemo/client/JobLauncher.java b/client/src/main/java/edu/snu/nemo/client/JobLauncher.java
index 4440a86..37154cd 100644
--- a/client/src/main/java/edu/snu/nemo/client/JobLauncher.java
+++ b/client/src/main/java/edu/snu/nemo/client/JobLauncher.java
@@ -15,6 +15,7 @@
  */
 package edu.snu.nemo.client;
 
+import com.google.common.annotations.VisibleForTesting;
 import edu.snu.nemo.common.dag.DAG;
 import edu.snu.nemo.conf.JobConf;
 import edu.snu.nemo.driver.NemoDriver;
@@ -56,6 +57,7 @@ public final class JobLauncher {
   private static final int LOCAL_NUMBER_OF_EVALUATORS = 100; // hopefully large enough for our use....
   private static Configuration jobAndDriverConf = null;
   private static Configuration deployModeConf = null;
+  private static Configuration builtJobConf = null;
 
   /**
    * private constructor.
@@ -65,37 +67,39 @@ public final class JobLauncher {
 
   /**
    * Main JobLauncher method.
+   *
    * @param args arguments.
    * @throws Exception exception on the way.
    */
   public static void main(final String[] args) throws Exception {
     // Get Job and Driver Confs
-    final Configuration jobConf = getJobConf(args);
-    final Configuration driverConf = getDriverConf(jobConf);
+    builtJobConf = getJobConf(args);
+    final Configuration driverConf = getDriverConf(builtJobConf);
     final Configuration driverNcsConf = getDriverNcsConf();
     final Configuration driverMessageConfg = getDriverMessageConf();
-    final Configuration executorResourceConfig = getExecutorResourceConf(jobConf);
+    final Configuration executorResourceConfig = getExecutorResourceConf(builtJobConf);
     final Configuration clientConf = getClientConf();
 
     // Merge Job and Driver Confs
-    jobAndDriverConf = Configurations.merge(jobConf, driverConf, driverNcsConf, driverMessageConfg,
+    jobAndDriverConf = Configurations.merge(builtJobConf, driverConf, driverNcsConf, driverMessageConfg,
         executorResourceConfig);
 
     // Get DeployMode Conf
-    deployModeConf = Configurations.merge(getDeployModeConf(jobConf), clientConf);
+    deployModeConf = Configurations.merge(getDeployModeConf(builtJobConf), clientConf);
 
     // Launch client main
-    runUserProgramMain(jobConf);
+    runUserProgramMain(builtJobConf);
   }
 
   /**
    * Launch application using the application DAG.
+   *
    * @param dag the application DAG.
    */
   // When modifying the signature of this method, see CompilerTestUtil#compileDAG and make corresponding changes
   public static void launchDAG(final DAG dag) {
     try {
-      if (jobAndDriverConf == null || deployModeConf == null) {
+      if (jobAndDriverConf == null || deployModeConf == null || builtJobConf == null) {
         throw new RuntimeException("Configuration for launching driver is not ready");
       }
       final String serializedDAG = Base64.getEncoder().encodeToString(SerializationUtils.serialize(dag));
@@ -103,7 +107,7 @@ public final class JobLauncher {
           .bindNamedParameter(JobConf.SerializedDAG.class, serializedDAG)
           .build();
       // Launch and wait indefinitely for the job to finish
-      final LauncherStatus launcherStatus =  DriverLauncher.getLauncher(deployModeConf)
+      final LauncherStatus launcherStatus = DriverLauncher.getLauncher(deployModeConf)
           .run(Configurations.merge(jobAndDriverConf, dagConf));
       final Optional<Throwable> possibleError = launcherStatus.getError();
       if (possibleError.isPresent()) {
@@ -118,6 +122,7 @@ public final class JobLauncher {
 
   /**
    * Run user-provided main method.
+   *
    * @param jobConf the job configuration
    * @throws Exception on any exceptions on the way
    */
@@ -148,6 +153,7 @@ public final class JobLauncher {
 
   /**
    * Get driver ncs configuration.
+   *
    * @return driver ncs configuration.
    * @throws InjectionException exception while injection.
    */
@@ -161,6 +167,7 @@ public final class JobLauncher {
 
   /**
    * Get driver message configuration.
+   *
    * @return driver message configuration.
    * @throws InjectionException exception while injection.
    */
@@ -172,6 +179,7 @@ public final class JobLauncher {
 
   /**
    * Get driver configuration.
+   *
    * @param jobConf job Configuration to get job id and driver memory.
    * @return driver configuration.
    * @throws InjectionException exception while injection.
@@ -195,11 +203,13 @@ public final class JobLauncher {
 
   /**
    * Get job configuration.
+   *
    * @param args arguments to be processed as command line.
    * @return job configuration.
-   * @throws IOException exception while processing command line.
+   * @throws IOException        exception while processing command line.
    * @throws InjectionException exception while injection.
    */
+  @VisibleForTesting
   public static Configuration getJobConf(final String[] args) throws IOException, InjectionException {
     final JavaConfigurationBuilder confBuilder = TANG.newConfigurationBuilder();
     final CommandLine cl = new CommandLine(confBuilder);
@@ -227,11 +237,12 @@ public final class JobLauncher {
 
   /**
    * Get deploy mode configuration.
+   *
    * @param jobConf job configuration to get deploy mode.
    * @return deploy mode configuration.
    * @throws InjectionException exception while injection.
    */
-  public static Configuration getDeployModeConf(final Configuration jobConf) throws InjectionException {
+  private static Configuration getDeployModeConf(final Configuration jobConf) throws InjectionException {
     final Injector injector = TANG.newInjector(jobConf);
     final String deployMode = injector.getNamedInstance(JobConf.DeployMode.class);
     switch (deployMode) {
@@ -250,11 +261,12 @@ public final class JobLauncher {
 
   /**
    * Get executor resource configuration.
+   *
    * @param jobConf job configuration to get executor json path.
    * @return executor resource configuration.
    * @throws InjectionException exception while injection.
    */
-  public static Configuration getExecutorResourceConf(final Configuration jobConf) throws InjectionException {
+  private static Configuration getExecutorResourceConf(final Configuration jobConf) throws InjectionException {
     final Injector injector = TANG.newInjector(jobConf);
     try {
       final String path = injector.getNamedInstance(JobConf.ExecutorJsonPath.class);
@@ -266,4 +278,14 @@ public final class JobLauncher {
       throw new RuntimeException(e);
     }
   }
+
+  /**
+   * Get the built job configuration.
+   * It can be {@code null} if this method is not called by the process which called the main function of this class.
+   *
+   * @return the built job configuration.
+   */
+  public static Configuration getBuiltJobConf() {
+    return builtJobConf;
+  }
 }
diff --git a/common/src/main/java/edu/snu/nemo/common/ir/Readable.java b/common/src/main/java/edu/snu/nemo/common/ir/Readable.java
index 44b6b05..9bca623 100644
--- a/common/src/main/java/edu/snu/nemo/common/ir/Readable.java
+++ b/common/src/main/java/edu/snu/nemo/common/ir/Readable.java
@@ -25,6 +25,7 @@ import java.util.List;
 public interface Readable<O> extends Serializable {
   /**
    * Method to read data from the source.
+   *
    * @return an {@link Iterable} of the data read by the readable.
    * @throws Exception exception while reading data.
    */
@@ -33,10 +34,10 @@ public interface Readable<O> extends Serializable {
   /**
    * Returns the list of locations where this readable resides.
    * Each location has a complete copy of the readable.
+   *
    * @return List of locations where this readable resides
    * @throws UnsupportedOperationException when this operation is not supported
-   * @throws Exception any other exceptions on the way
+   * @throws Exception                     any other exceptions on the way
    */
   List<String> getLocations() throws Exception;
 }
-
diff --git a/common/src/main/java/edu/snu/nemo/common/test/ArgBuilder.java b/common/src/main/java/edu/snu/nemo/common/test/ArgBuilder.java
index 7fc6e33..2228152 100644
--- a/common/src/main/java/edu/snu/nemo/common/test/ArgBuilder.java
+++ b/common/src/main/java/edu/snu/nemo/common/test/ArgBuilder.java
@@ -31,7 +31,6 @@ public final class ArgBuilder {
    */
   public ArgBuilder() {
     this.args = new ArrayList<>();
-    this.args.add(Arrays.asList("-executor_json", "../resources/sample_executor_resources.json"));
   }
 
   /**
@@ -82,6 +81,15 @@ public final class ArgBuilder {
   }
 
   /**
+   * @param executorJsonFileName the name of the executor resource file to use.
+   * @return builder with the executor resource file.
+   */
+  public ArgBuilder addResourceJson(final String executorJsonFileName) {
+    args.add(Arrays.asList("-executor_json", executorJsonFileName));
+    return this;
+  }
+
+  /**
    * @return the built arguments.
    */
   public String[] build() {
diff --git a/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/core/java/JavaPairRDD.java b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/core/java/JavaPairRDD.java
index 0472165..f979120 100644
--- a/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/core/java/JavaPairRDD.java
+++ b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/core/java/JavaPairRDD.java
@@ -25,8 +25,10 @@ import edu.snu.nemo.common.ir.vertex.OperatorVertex;
 import edu.snu.nemo.compiler.frontend.spark.SparkKeyExtractor;
 import edu.snu.nemo.compiler.frontend.spark.coder.SparkCoder;
 import edu.snu.nemo.compiler.frontend.spark.core.RDD;
+import edu.snu.nemo.compiler.frontend.spark.transform.MapTransform;
 import edu.snu.nemo.compiler.frontend.spark.transform.ReduceByKeyTransform;
 import org.apache.spark.SparkContext;
+import org.apache.spark.api.java.function.Function;
 import org.apache.spark.api.java.function.Function2;
 import org.apache.spark.serializer.Serializer;
 import scala.Tuple2;
@@ -91,6 +93,21 @@ public final class JavaPairRDD<K, V> extends org.apache.spark.api.java.JavaPairR
     return new JavaPairRDD<>(this.sparkContext, builder.buildWithoutSourceSinkCheck(), reduceByKeyVertex);
   }
 
+  @Override
+  public <R> JavaRDD<R> map(final Function<Tuple2<K, V>, R> f) {
+    final DAGBuilder<IRVertex, IREdge> builder = new DAGBuilder<>(dag);
+
+    final IRVertex mapVertex = new OperatorVertex(new MapTransform<>(f));
+    builder.addVertex(mapVertex, loopVertexStack);
+
+    final IREdge newEdge = new IREdge(getEdgeCommunicationPattern(lastVertex, mapVertex),
+        lastVertex, mapVertex, new SparkCoder(serializer));
+    newEdge.setProperty(KeyExtractorProperty.of(new SparkKeyExtractor()));
+    builder.connectVertices(newEdge);
+
+    return new JavaRDD<>(this.sparkContext, builder.buildWithoutSourceSinkCheck(), mapVertex);
+  }
+
   /////////////// ACTIONS ///////////////
 
   @Override
diff --git a/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/core/java/JavaRDD.java b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/core/java/JavaRDD.java
index bc6d891..a8d024c 100644
--- a/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/core/java/JavaRDD.java
+++ b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/core/java/JavaRDD.java
@@ -15,23 +15,23 @@
  */
 package edu.snu.nemo.compiler.frontend.spark.core.java;
 
+import edu.snu.nemo.client.JobLauncher;
 import edu.snu.nemo.common.dag.DAG;
 import edu.snu.nemo.common.dag.DAGBuilder;
 import edu.snu.nemo.common.ir.edge.IREdge;
 import edu.snu.nemo.common.ir.edge.executionproperty.KeyExtractorProperty;
 import edu.snu.nemo.common.ir.vertex.*;
 import edu.snu.nemo.common.ir.vertex.executionproperty.ParallelismProperty;
+import edu.snu.nemo.common.ir.vertex.transform.Transform;
 import edu.snu.nemo.compiler.frontend.spark.SparkKeyExtractor;
 import edu.snu.nemo.compiler.frontend.spark.coder.SparkCoder;
 import edu.snu.nemo.compiler.frontend.spark.core.RDD;
-import edu.snu.nemo.compiler.frontend.spark.source.SparkBoundedSourceVertex;
+import edu.snu.nemo.compiler.frontend.spark.source.SparkDatasetBoundedSourceVertex;
+import edu.snu.nemo.compiler.frontend.spark.source.SparkTextFileBoundedSourceVertex;
 import edu.snu.nemo.compiler.frontend.spark.sql.Dataset;
 import edu.snu.nemo.compiler.frontend.spark.sql.SparkSession;
 import edu.snu.nemo.compiler.frontend.spark.transform.*;
-import org.apache.spark.Partition;
-import org.apache.spark.Partitioner;
-import org.apache.spark.SparkContext;
-import org.apache.spark.TaskContext;
+import org.apache.spark.*;
 import org.apache.spark.api.java.JavaFutureAction;
 import org.apache.spark.api.java.Optional;
 import org.apache.spark.api.java.function.*;
@@ -59,14 +59,16 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
 
   /**
    * Static method to create a JavaRDD object from an iterable object.
+   *
    * @param sparkContext spark context containing configurations.
-   * @param initialData initial data.
-   * @param parallelism parallelism information.
-   * @param <T> type of the resulting object.
+   * @param initialData  initial data.
+   * @param parallelism  parallelism information.
+   * @param <T>          type of the resulting object.
    * @return the new JavaRDD object.
    */
   public static <T> JavaRDD<T> of(final SparkContext sparkContext,
-                                  final Iterable<T> initialData, final Integer parallelism) {
+                                  final Iterable<T> initialData,
+                                  final int parallelism) {
     final DAGBuilder<IRVertex, IREdge> builder = new DAGBuilder<>();
 
     final IRVertex initializedSourceVertex = new InitializedSourceVertex<>(initialData);
@@ -77,17 +79,40 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
   }
 
   /**
+   * Static method to create a JavaRDD object from an text file.
+   *
+   * @param sparkContext  the spark context containing configurations.
+   * @param minPartitions the minimum nubmer of partitions.
+   * @param inputPath     the path of the input text file.
+   * @param <T>           the type of resulting object.
+   * @return the new JavaRDD object
+   */
+  public static <T> JavaRDD<T> of(final SparkContext sparkContext,
+                                  final int minPartitions,
+                                  final String inputPath) {
+    final DAGBuilder<IRVertex, IREdge> builder = new DAGBuilder<>();
+
+    final int numPartitions = sparkContext.textFile(inputPath, minPartitions).getNumPartitions();
+    final IRVertex textSourceVertex = new SparkTextFileBoundedSourceVertex(sparkContext, inputPath, numPartitions);
+    textSourceVertex.setProperty(ParallelismProperty.of(numPartitions));
+    builder.addVertex(textSourceVertex);
+
+    return new JavaRDD<>(sparkContext, builder.buildWithoutSourceSinkCheck(), textSourceVertex);
+  }
+
+  /**
    * Static method to create a JavaRDD object from a Dataset.
+   *
    * @param sparkSession spark session containing configurations.
-   * @param dataset dataset to read initial data from.
-   * @param <T> type of the resulting object.
+   * @param dataset      dataset to read initial data from.
+   * @param <T>          type of the resulting object.
    * @return the new JavaRDD object.
    */
   public static <T> JavaRDD<T> of(final SparkSession sparkSession,
                                   final Dataset<T> dataset) {
     final DAGBuilder<IRVertex, IREdge> builder = new DAGBuilder<>();
 
-    final IRVertex sparkBoundedSourceVertex = new SparkBoundedSourceVertex<>(sparkSession, dataset);
+    final IRVertex sparkBoundedSourceVertex = new SparkDatasetBoundedSourceVertex<>(sparkSession, dataset);
     sparkBoundedSourceVertex.setProperty(ParallelismProperty.of(dataset.rdd().getNumPartitions()));
     builder.addVertex(sparkBoundedSourceVertex);
 
@@ -96,9 +121,10 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
 
   /**
    * Constructor.
+   *
    * @param sparkContext spark context containing configurations.
-   * @param dag the current DAG.
-   * @param lastVertex last vertex added to the builder.
+   * @param dag          the current DAG.
+   * @param lastVertex   last vertex added to the builder.
    */
   JavaRDD(final SparkContext sparkContext, final DAG<IRVertex, IREdge> dag, final IRVertex lastVertex) {
     // TODO #366: resolve while implementing scala RDD.
@@ -122,8 +148,9 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
 
   /**
    * Map transform.
+   *
    * @param func function to apply.
-   * @param <O> output type.
+   * @param <O>  output type.
    * @return the JavaRDD with the DAG.
    */
   @Override
@@ -159,7 +186,7 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
   /////////////// TRANSFORMATION TO PAIR RDD ///////////////
 
   @Override
-  public <K2, V2> JavaPairRDD<K2, V2> mapToPair(final PairFunction<T, K2, V2> f)  {
+  public <K2, V2> JavaPairRDD<K2, V2> mapToPair(final PairFunction<T, K2, V2> f) {
     final DAGBuilder<IRVertex, IREdge> builder = new DAGBuilder<>(dag);
 
     final IRVertex mapToPairVertex = new OperatorVertex(new MapToPairTransform<>(f));
@@ -179,6 +206,7 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
 
   /**
    * This method is to be removed after a result handler is implemented.
+   *
    * @return a unique integer.
    */
   public static Integer getResultId() {
@@ -187,6 +215,7 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
 
   /**
    * Reduce action.
+   *
    * @param func function (binary operator) to apply.
    * @return the result of the reduce action.
    */
@@ -210,6 +239,27 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
     return SparkFrontendUtils.collect(dag, loopVertexStack, lastVertex, serializer);
   }
 
+  @Override
+  public void saveAsTextFile(final String path) {
+
+    // Check if given path is HDFS path.
+    final boolean isHDFSPath = path.startsWith("hdfs://") || path.startsWith("s3a://") || path.startsWith("file://");
+    final Transform textFileTransform = isHDFSPath
+        ? new HDFSTextFileTransform(path) : new LocalTextFileTransform(path);
+
+    final DAGBuilder<IRVertex, IREdge> builder = new DAGBuilder<>(dag);
+
+    final IRVertex flatMapVertex = new OperatorVertex(textFileTransform);
+    builder.addVertex(flatMapVertex, loopVertexStack);
+
+    final IREdge newEdge = new IREdge(getEdgeCommunicationPattern(lastVertex, flatMapVertex),
+        lastVertex, flatMapVertex, new SparkCoder(serializer));
+    newEdge.setProperty(KeyExtractorProperty.of(new SparkKeyExtractor()));
+    builder.connectVertices(newEdge);
+
+    JobLauncher.launchDAG(builder.build());
+  }
+
   /////////////// UNSUPPORTED TRANSFORMATIONS ///////////////
   //TODO#776: support unimplemented RDD transformation/actions.
 
@@ -260,7 +310,7 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
 
   @Override
   public <R> JavaRDD<R> mapPartitionsWithIndex(final Function2<Integer, Iterator<T>, Iterator<R>> f,
-                                                final boolean preservesPartitioning) {
+                                               final boolean preservesPartitioning) {
     throw new UnsupportedOperationException("Operation not yet implemented.");
   }
 
@@ -328,7 +378,7 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
   }
 
   @Override
-  public <U> JavaPairRDD<U, Iterable<T>> groupBy(final Function<T, U> f, final int numPartitions)  {
+  public <U> JavaPairRDD<U, Iterable<T>> groupBy(final Function<T, U> f, final int numPartitions) {
     throw new UnsupportedOperationException("Operation not yet implemented.");
   }
 
@@ -344,12 +394,12 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
 
   @Override
   public <K2, V2> JavaPairRDD<K2, V2> mapPartitionsToPair(final PairFlatMapFunction<java.util.Iterator<T>, K2, V2> f,
-                                                          final boolean preservesPartitioning)  {
+                                                          final boolean preservesPartitioning) {
     throw new UnsupportedOperationException("Operation not yet implemented.");
   }
 
   @Override
-  public JavaPairRDD<T, Long> zipWithIndex()  {
+  public JavaPairRDD<T, Long> zipWithIndex() {
     throw new UnsupportedOperationException("Operation not yet implemented.");
   }
 
@@ -372,9 +422,8 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
   }
 
 
-
   @Override
-  public JavaFutureAction<List<T>> collectAsync()  {
+  public JavaFutureAction<List<T>> collectAsync() {
     throw new UnsupportedOperationException("Operation not yet implemented.");
   }
 
@@ -389,7 +438,7 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
   }
 
   @Override
-  public PartialResult<BoundedDouble> countApprox(final long timeout)  {
+  public PartialResult<BoundedDouble> countApprox(final long timeout) {
     throw new UnsupportedOperationException("Operation not yet implemented.");
   }
 
@@ -399,12 +448,12 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
   }
 
   @Override
-  public long countApproxDistinct(final double relativeSD)  {
+  public long countApproxDistinct(final double relativeSD) {
     throw new UnsupportedOperationException("Operation not yet implemented.");
   }
 
   @Override
-  public JavaFutureAction<Long> countAsync()  {
+  public JavaFutureAction<Long> countAsync() {
     throw new UnsupportedOperationException("Operation not yet implemented.");
   }
 
@@ -459,7 +508,7 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
   }
 
   @Override
-  public int getNumPartitions()  {
+  public int getNumPartitions() {
     throw new UnsupportedOperationException("Operation not yet implemented.");
   }
 
@@ -479,7 +528,7 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
   }
 
   @Override
-  public boolean isEmpty()  {
+  public boolean isEmpty() {
     throw new UnsupportedOperationException("Operation not yet implemented.");
   }
 
@@ -519,13 +568,8 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
   }
 
   @Override
-  public void saveAsTextFile(final String path) {
-    throw new UnsupportedOperationException("Operation not yet implemented.");
-  }
-
-  @Override
   public void saveAsTextFile(final String path,
-                              final Class<? extends org.apache.hadoop.io.compress.CompressionCodec> codec) {
+                             final Class<? extends org.apache.hadoop.io.compress.CompressionCodec> codec) {
     throw new UnsupportedOperationException("Operation not yet implemented.");
   }
 
@@ -586,7 +630,7 @@ public final class JavaRDD<T> extends org.apache.spark.api.java.JavaRDD<T> {
 
   @Override
   public <U> U treeAggregate(final U zeroValue, final Function2<U, T, U> seqOp,
-                              final Function2<U, U, U> combOp, final int depth) {
+                             final Function2<U, U, U> combOp, final int depth) {
     throw new UnsupportedOperationException("Operation not yet implemented.");
   }
 
diff --git a/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/core/java/JavaSparkContext.java b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/core/java/JavaSparkContext.java
index 5803606..cca48cb 100644
--- a/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/core/java/JavaSparkContext.java
+++ b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/core/java/JavaSparkContext.java
@@ -34,7 +34,40 @@ public final class JavaSparkContext {
   }
 
   /**
+   * Create a String {@link JavaRDD} from a text file path.
+   *
+   * @param path the path to read.
+   * @return the RDD.
+   */
+  public JavaRDD<String> textFile(final String path) {
+    return this.textFile(path, 1);
+  }
+
+  /**
+   * Create a String {@link JavaRDD} from a text file path with specific minimum parallelism.
+   *
+   * @param path          the path to read.
+   * @param minPartitions the minimum parallelism.
+   * @return the RDD.
+   */
+  public JavaRDD<String> textFile(final String path, final int minPartitions) {
+    return JavaRDD.of(sparkContext, minPartitions, path);
+  }
+
+  /**
+   * Initiate a JavaRDD with the number of parallelism.
+   *
+   * @param list input data as list.
+   * @param <T> type of the initial element.
+   * @return the newly initiated JavaRDD.
+   */
+  public <T> JavaRDD<T> parallelize(final List<T> list) {
+    return this.parallelize(list, 1);
+  }
+
+  /**
    * Initiate a JavaRDD with the number of parallelism.
+   *
    * @param l input data as list.
    * @param slices number of slices (parallelism).
    * @param <T> type of the initial element.
diff --git a/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/source/SparkBoundedSourceVertex.java b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/source/SparkDatasetBoundedSourceVertex.java
similarity index 58%
rename from compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/source/SparkBoundedSourceVertex.java
rename to compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/source/SparkDatasetBoundedSourceVertex.java
index e1270d9..775faf4 100644
--- a/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/source/SparkBoundedSourceVertex.java
+++ b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/source/SparkDatasetBoundedSourceVertex.java
@@ -19,51 +19,50 @@ import edu.snu.nemo.common.ir.Readable;
 import edu.snu.nemo.common.ir.vertex.SourceVertex;
 import edu.snu.nemo.compiler.frontend.spark.sql.Dataset;
 import edu.snu.nemo.compiler.frontend.spark.sql.SparkSession;
-import org.apache.spark.TaskContext$;
+import org.apache.spark.*;
 import org.apache.spark.rdd.RDD;
 import scala.collection.JavaConverters;
 
-import java.util.ArrayList;
-import java.util.LinkedHashMap;
-import java.util.List;
-import java.util.Map;
-import java.util.stream.IntStream;
+import java.util.*;
 
 /**
- * Bounded source vertex for Spark.
+ * Bounded source vertex for Spark Dataset.
  * @param <T> type of data to read.
  */
-public final class SparkBoundedSourceVertex<T> extends SourceVertex<T> {
+public final class SparkDatasetBoundedSourceVertex<T> extends SourceVertex<T> {
   private final List<Readable<T>> readables;
 
   /**
    * Constructor.
-   * Note that we have to first create our iterators here and supply them to our readables.
    *
    * @param sparkSession sparkSession to recreate on each executor.
-   * @param dataset Dataset to read data from.
+   * @param dataset      Dataset to read data from.
    */
-  public SparkBoundedSourceVertex(final SparkSession sparkSession, final Dataset<T> dataset) {
+  public SparkDatasetBoundedSourceVertex(final SparkSession sparkSession, final Dataset<T> dataset) {
     this.readables = new ArrayList<>();
-    IntStream.range(0, dataset.rdd().getNumPartitions()).forEach(partitionIndex ->
-        readables.add(new SparkBoundedSourceReadable(
-            sparkSession.getDatasetCommandsList(),
-            sparkSession.getInitialConf(),
-            partitionIndex)));
+    final RDD rdd = dataset.rdd();
+    final Partition[] partitions = rdd.getPartitions();
+    for (int i = 0; i < partitions.length; i++) {
+      readables.add(new SparkDatasetBoundedSourceReadable(
+          partitions[i],
+          sparkSession.getDatasetCommandsList(),
+          sparkSession.getInitialConf(),
+          i));
+    }
   }
 
   /**
-   * Constructor.
+   * Constructor for cloning.
    *
    * @param readables the list of Readables to set.
    */
-  public SparkBoundedSourceVertex(final List<Readable<T>> readables) {
+  private SparkDatasetBoundedSourceVertex(final List<Readable<T>> readables) {
     this.readables = readables;
   }
 
   @Override
-  public SparkBoundedSourceVertex getClone() {
-    final SparkBoundedSourceVertex<T> that = new SparkBoundedSourceVertex<>((this.readables));
+  public SparkDatasetBoundedSourceVertex getClone() {
+    final SparkDatasetBoundedSourceVertex<T> that = new SparkDatasetBoundedSourceVertex<>((this.readables));
     this.copyExecutionPropertiesTo(that);
     return that;
   }
@@ -74,25 +73,30 @@ public final class SparkBoundedSourceVertex<T> extends SourceVertex<T> {
   }
 
   /**
-   * A Readable for SparkBoundedSourceReadablesWrapper.
+   * A Readable wrapper for Spark Dataset.
    */
-  private final class SparkBoundedSourceReadable implements Readable<T> {
+  private final class SparkDatasetBoundedSourceReadable implements Readable<T> {
     private final LinkedHashMap<String, Object[]> commands;
     private final Map<String, String> sessionInitialConf;
     private final int partitionIndex;
+    private final List<String> locations;
 
     /**
      * Constructor.
-     * @param commands list of commands needed to build the dataset.
+     *
+     * @param partition          the partition to wrap.
+     * @param commands           list of commands needed to build the dataset.
      * @param sessionInitialConf spark session's initial configuration.
-     * @param partitionIndex partition for this readable.
+     * @param partitionIndex     partition for this readable.
      */
-    private SparkBoundedSourceReadable(final LinkedHashMap<String, Object[]> commands,
-                                       final Map<String, String> sessionInitialConf,
-                                       final int partitionIndex) {
+    private SparkDatasetBoundedSourceReadable(final Partition partition,
+                                              final LinkedHashMap<String, Object[]> commands,
+                                              final Map<String, String> sessionInitialConf,
+                                              final int partitionIndex) {
       this.commands = commands;
       this.sessionInitialConf = sessionInitialConf;
       this.partitionIndex = partitionIndex;
+      this.locations = SparkSourceUtil.getPartitionLocation(partition);
     }
 
     @Override
@@ -111,7 +115,11 @@ public final class SparkBoundedSourceVertex<T> extends SourceVertex<T> {
 
     @Override
     public List<String> getLocations() {
-      throw new UnsupportedOperationException();
+      if (locations.isEmpty()) {
+        throw new UnsupportedOperationException();
+      } else {
+        return locations;
+      }
     }
   }
 }
diff --git a/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/source/SparkSourceUtil.java b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/source/SparkSourceUtil.java
new file mode 100644
index 0000000..aaa1713
--- /dev/null
+++ b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/source/SparkSourceUtil.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright (C) 2018 Seoul National University
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *         http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package edu.snu.nemo.compiler.frontend.spark.source;
+
+import org.apache.hadoop.mapred.InputSplit;
+import org.apache.spark.Partition;
+import org.apache.spark.SerializableWritable;
+import org.apache.spark.rdd.HadoopPartition;
+
+import java.lang.reflect.Field;
+import java.net.InetAddress;
+import java.util.ArrayList;
+import java.util.Collections;
+import java.util.List;
+
+/**
+ * Utility methods for spark sources.
+ */
+final class SparkSourceUtil {
+  /**
+   * Empty constructor.
+   */
+  private SparkSourceUtil() {
+    // Private constructor.
+  }
+
+  /**
+   * Gets the source location of a Spark partition.
+   *
+   * @param partition the partition to get location.
+   * @return a list of locations.
+   * @throws RuntimeException if failed to get source location.
+   */
+  static List<String> getPartitionLocation(final Partition partition) {
+    try {
+      if (partition instanceof HadoopPartition) {
+        final Field inputSplitField = partition.getClass().getDeclaredField("inputSplit");
+        inputSplitField.setAccessible(true);
+        final InputSplit inputSplit = (InputSplit) ((SerializableWritable) inputSplitField.get(partition)).value();
+
+        final String[] splitLocations = inputSplit.getLocations();
+        final List<String> parsedLocations = new ArrayList<>();
+
+        for (final String loc : splitLocations) {
+          final String canonicalHostName = InetAddress.getByName(loc).getCanonicalHostName();
+          parsedLocations.add(canonicalHostName);
+        }
+
+        if (parsedLocations.size() == 1 && parsedLocations.get(0).equals("localhost")) {
+          return Collections.emptyList();
+        } else {
+          return parsedLocations;
+        }
+      } else {
+        return Collections.emptyList();
+      }
+    } catch (final Exception e) {
+      throw new RuntimeException(e);
+    }
+  }
+}
diff --git a/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/source/SparkTextFileBoundedSourceVertex.java b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/source/SparkTextFileBoundedSourceVertex.java
new file mode 100644
index 0000000..a5e7833
--- /dev/null
+++ b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/source/SparkTextFileBoundedSourceVertex.java
@@ -0,0 +1,125 @@
+/*
+ * Copyright (C) 2018 Seoul National University
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *         http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package edu.snu.nemo.compiler.frontend.spark.source;
+
+import edu.snu.nemo.common.ir.Readable;
+import edu.snu.nemo.common.ir.vertex.SourceVertex;
+import org.apache.spark.*;
+import org.apache.spark.rdd.RDD;
+import scala.collection.JavaConverters;
+
+import java.util.*;
+
+/**
+ * Bounded source vertex for Spark text file.
+ */
+public final class SparkTextFileBoundedSourceVertex extends SourceVertex<String> {
+  private final List<Readable<String>> readables;
+
+  /**
+   * Constructor.
+   *
+   * @param sparkContext  the spark context.
+   * @param inputPath     the path of the target text file.
+   * @param numPartitions the number of partitions.
+   */
+  public SparkTextFileBoundedSourceVertex(final SparkContext sparkContext,
+                                          final String inputPath,
+                                          final int numPartitions) {
+    this.readables = new ArrayList<>();
+    final Partition[] partitions = sparkContext.textFile(inputPath, numPartitions).getPartitions();
+    for (int i = 0; i < partitions.length; i++) {
+      readables.add(new SparkTextFileBoundedSourceReadable(
+          partitions[i],
+          sparkContext.getConf(),
+          i,
+          inputPath,
+          numPartitions));
+    }
+  }
+
+  /**
+   * Constructor for cloning.
+   *
+   * @param readables the list of Readables to set.
+   */
+  private SparkTextFileBoundedSourceVertex(final List<Readable<String>> readables) {
+    this.readables = readables;
+  }
+
+  @Override
+  public SparkTextFileBoundedSourceVertex getClone() {
+    final SparkTextFileBoundedSourceVertex that = new SparkTextFileBoundedSourceVertex(this.readables);
+    this.copyExecutionPropertiesTo(that);
+    return that;
+  }
+
+  @Override
+  public List<Readable<String>> getReadables(final int desiredNumOfSplits) {
+    return readables;
+  }
+
+  /**
+   * A Readable wrapper for Spark text file.
+   */
+  private final class SparkTextFileBoundedSourceReadable implements Readable<String> {
+    private final SparkConf sparkConf;
+    private final int partitionIndex;
+    private final List<String> locations;
+    private final String inputPath;
+    private final int numPartitions;
+
+    /**
+     * Constructor.
+     *
+     * @param partition      the partition to wrap.
+     * @param sparkConf      configuration needed to build the SparkContext.
+     * @param partitionIndex partition for this readable.
+     * @param numPartitions  the total number of partitions.
+     */
+    private SparkTextFileBoundedSourceReadable(final Partition partition,
+                                               final SparkConf sparkConf,
+                                               final int partitionIndex,
+                                               final String inputPath,
+                                               final int numPartitions) {
+      this.sparkConf = sparkConf;
+      this.partitionIndex = partitionIndex;
+      this.inputPath = inputPath;
+      this.numPartitions = numPartitions;
+      this.locations = SparkSourceUtil.getPartitionLocation(partition);
+    }
+
+    @Override
+    public Iterable<String> read() throws Exception {
+      // for setting up the same environment in the executors.
+      final SparkContext sparkContext = SparkContext.getOrCreate(sparkConf);
+
+      // Spark does lazy evaluation: it doesn't load the full data in rdd, but only the partition it is asked for.
+      final RDD<String> rdd = sparkContext.textFile(inputPath, numPartitions);
+      return () -> JavaConverters.asJavaIteratorConverter(
+          rdd.iterator(rdd.getPartitions()[partitionIndex], TaskContext$.MODULE$.empty())).asJava();
+    }
+
+    @Override
+    public List<String> getLocations() {
+      if (locations.isEmpty()) {
+        throw new UnsupportedOperationException();
+      } else {
+        return locations;
+      }
+    }
+  }
+}
diff --git a/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/sql/SparkSession.java b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/sql/SparkSession.java
index 325df6d..5b50109 100644
--- a/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/sql/SparkSession.java
+++ b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/sql/SparkSession.java
@@ -262,7 +262,7 @@ public final class SparkSession extends org.apache.spark.sql.SparkSession implem
    * @return the session builder.
    */
   public static Builder builder() {
-    return new Builder().master("local");
+    return new Builder();
   }
 
   /**
@@ -311,7 +311,12 @@ public final class SparkSession extends org.apache.spark.sql.SparkSession implem
 
     @Override
     public SparkSession getOrCreate() {
-      UserGroupInformation.setLoginUser(UserGroupInformation.createRemoteUser("nemo_user"));
+      if (!options.containsKey("spark.master")) { // default spark_master option.
+        return this.master("local[*]").getOrCreate();
+      }
+
+      UserGroupInformation.setLoginUser(UserGroupInformation.createRemoteUser("ubuntu"));
+
       return SparkSession.from(super.getOrCreate(), this.options);
     }
   }
diff --git a/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/transform/HDFSTextFileTransform.java b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/transform/HDFSTextFileTransform.java
new file mode 100644
index 0000000..03f3215
--- /dev/null
+++ b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/transform/HDFSTextFileTransform.java
@@ -0,0 +1,74 @@
+/*
+ * Copyright (C) 2018 Seoul National University
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *         http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package edu.snu.nemo.compiler.frontend.spark.transform;
+
+import edu.snu.nemo.common.ir.OutputCollector;
+import edu.snu.nemo.common.ir.vertex.transform.Transform;
+import org.apache.hadoop.fs.FSDataOutputStream;
+import org.apache.hadoop.fs.FileSystem;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.mapred.JobConf;
+
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.UUID;
+
+/**
+ * Transform which saves elements to a HDFS text file for Spark.
+ * @param <I> input type.
+ * @param <O> output type.
+ */
+public final class HDFSTextFileTransform<I, O> implements Transform<I, O> {
+  private final String path;
+  private Path fileName;
+  private List<I> elements;
+
+  /**
+   * Constructor.
+   *
+   * @param path the path to write elements.
+   */
+  public HDFSTextFileTransform(final String path) {
+    this.path = path;
+  }
+
+  @Override
+  public void prepare(final Context context, final OutputCollector<O> outputCollector) {
+    fileName = new Path(path + UUID.randomUUID().toString());
+    this.elements = new ArrayList<>();
+  }
+
+  @Override
+  public void onData(final I element) {
+    elements.add(element);
+  }
+
+  @Override
+  public void close() {
+    try (
+        final FileSystem fileSystem = fileName.getFileSystem(new JobConf());
+        final FSDataOutputStream outputStream = fileSystem.create(fileName, false);
+    ) {
+      for (final I element : elements) {
+        outputStream.writeBytes(element + "\n");
+      }
+      outputStream.close();
+    } catch (final IOException e) {
+      throw new RuntimeException(e);
+    }
+  }
+}
diff --git a/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/transform/LocalTextFileTransform.java b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/transform/LocalTextFileTransform.java
new file mode 100644
index 0000000..8fe7bcf
--- /dev/null
+++ b/compiler/frontend/spark/src/main/java/edu/snu/nemo/compiler/frontend/spark/transform/LocalTextFileTransform.java
@@ -0,0 +1,70 @@
+/*
+ * Copyright (C) 2018 Seoul National University
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *         http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package edu.snu.nemo.compiler.frontend.spark.transform;
+
+import edu.snu.nemo.common.ir.OutputCollector;
+import edu.snu.nemo.common.ir.vertex.transform.Transform;
+
+import java.io.*;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.UUID;
+
+/**
+ * Transform which saves elements to a local text file for Spark.
+ * @param <I> input type.
+ * @param <O> output type.
+ */
+public final class LocalTextFileTransform<I, O> implements Transform<I, O> {
+  private final String path;
+  private String fileName;
+  private List<I> elements;
+
+  /**
+   * Constructor.
+   *
+   * @param path the path to write elements.
+   */
+  public LocalTextFileTransform(final String path) {
+    this.path = path;
+  }
+
+  @Override
+  public void prepare(final Context context, final OutputCollector<O> outputCollector) {
+    fileName = path + UUID.randomUUID().toString();
+    this.elements = new ArrayList<>();
+  }
+
+  @Override
+  public void onData(final I element) {
+    elements.add(element);
+  }
+
+  @Override
+  public void close() {
+    try (
+        final Writer writer =
+            new BufferedWriter(new OutputStreamWriter(new FileOutputStream(fileName, false), "utf-8"))
+    ) {
+      for (final I element : elements) {
+        writer.write(element + "\n");
+      }
+      writer.close();
+    } catch (final IOException e) {
+      throw new RuntimeException(e);
+    }
+  }
+}
diff --git a/conf/src/main/java/edu/snu/nemo/conf/JobConf.java b/conf/src/main/java/edu/snu/nemo/conf/JobConf.java
index 7f052e3..19a654d 100644
--- a/conf/src/main/java/edu/snu/nemo/conf/JobConf.java
+++ b/conf/src/main/java/edu/snu/nemo/conf/JobConf.java
@@ -103,7 +103,7 @@ public final class JobConf extends ConfigurationModuleBuilder {
    * Path to the JSON file that specifies resource layout.
    */
   @NamedParameter(doc = "Path to the JSON file that specifies resources for executors", short_name = "executor_json",
-  default_value = "examples/resources/sample_executor_resources.json")
+      default_value = "examples/resources/sample_executor_resources.json")
   public final class ExecutorJsonPath implements Name<String> {
   }
 
diff --git a/examples/beam/src/test/java/edu/snu/nemo/examples/beam/AlternatingLeastSquareITCase.java b/examples/beam/src/test/java/edu/snu/nemo/examples/beam/AlternatingLeastSquareITCase.java
index 4825e78..f542627 100644
--- a/examples/beam/src/test/java/edu/snu/nemo/examples/beam/AlternatingLeastSquareITCase.java
+++ b/examples/beam/src/test/java/edu/snu/nemo/examples/beam/AlternatingLeastSquareITCase.java
@@ -34,20 +34,24 @@ import org.powermock.modules.junit4.PowerMockRunner;
 @PrepareForTest(JobLauncher.class)
 public final class AlternatingLeastSquareITCase {
   private static final int TIMEOUT = 240000;
-  private static ArgBuilder builder = new ArgBuilder();
+  private static ArgBuilder builder;
   private static final String fileBasePath = System.getProperty("user.dir") + "/../resources/";
 
   private static final String input = fileBasePath + "sample_input_als";
   private static final String outputFileName = "sample_output_als";
   private static final String output = fileBasePath + outputFileName;
   private static final String testResourceFileName = "test_output_als";
+  private static final String executorResourceFileName = fileBasePath + "beam_sample_executor_resources.json";
   private static final String numFeatures = "10";
   private static final String numIteration = "3";
   private static final String lambda = "0.05";
 
   @Before
   public void setUp() throws Exception {
-    builder = new ArgBuilder();
+    builder = new ArgBuilder()
+        .addResourceJson(executorResourceFileName)
+        .addUserMain(AlternatingLeastSquare.class.getCanonicalName())
+        .addUserArgs(input, numFeatures, numIteration, lambda, output);
   }
 
   @After
@@ -63,8 +67,6 @@ public final class AlternatingLeastSquareITCase {
   public void test() throws Exception {
     JobLauncher.main(builder
         .addJobId(AlternatingLeastSquareITCase.class.getSimpleName())
-        .addUserMain(AlternatingLeastSquare.class.getCanonicalName())
-        .addUserArgs(input, numFeatures, numIteration, lambda, output)
         .addOptimizationPolicy(DefaultPolicyParallelismFive.class.getCanonicalName())
         .build());
   }
@@ -73,8 +75,6 @@ public final class AlternatingLeastSquareITCase {
   public void testPado() throws Exception {
     JobLauncher.main(builder
         .addJobId(AlternatingLeastSquareITCase.class.getSimpleName() + "_pado")
-        .addUserMain(AlternatingLeastSquare.class.getCanonicalName())
-        .addUserArgs(input, numFeatures, numIteration, lambda, output)
         .addOptimizationPolicy(PadoPolicyParallelismFive.class.getCanonicalName())
         .build());
   }
diff --git a/examples/beam/src/test/java/edu/snu/nemo/examples/beam/BroadcastITCase.java b/examples/beam/src/test/java/edu/snu/nemo/examples/beam/BroadcastITCase.java
index 6531310..25ea781 100644
--- a/examples/beam/src/test/java/edu/snu/nemo/examples/beam/BroadcastITCase.java
+++ b/examples/beam/src/test/java/edu/snu/nemo/examples/beam/BroadcastITCase.java
@@ -34,18 +34,22 @@ import org.powermock.modules.junit4.PowerMockRunner;
 @PrepareForTest(JobLauncher.class)
 public final class BroadcastITCase {
   private static final int TIMEOUT = 180000;
-  private static ArgBuilder builder = new ArgBuilder();
+  private static ArgBuilder builder;
   private static final String fileBasePath = System.getProperty("user.dir") + "/../resources/";
 
   private static final String inputFileName = "sample_input_mr";
   private static final String outputFileName = "sample_output_broadcast";
   private static final String testResourceFileName = "test_output_broadcast";
+  private static final String executorResourceFileName = fileBasePath + "beam_sample_executor_resources.json";
   private static final String inputFilePath =  fileBasePath + inputFileName;
   private static final String outputFilePath =  fileBasePath + outputFileName;
 
   @Before
   public void setUp() throws Exception {
-    builder = new ArgBuilder();
+    builder = new ArgBuilder()
+        .addUserMain(Broadcast.class.getCanonicalName())
+        .addUserArgs(inputFilePath, outputFilePath)
+        .addResourceJson(executorResourceFileName);
   }
 
   @After
@@ -61,8 +65,6 @@ public final class BroadcastITCase {
   public void test() throws Exception {
     JobLauncher.main(builder
         .addJobId(BroadcastITCase.class.getSimpleName())
-        .addUserMain(Broadcast.class.getCanonicalName())
-        .addUserArgs(inputFilePath, outputFilePath)
         .addOptimizationPolicy(DefaultPolicyParallelismFive.class.getCanonicalName())
         .build());
   }
@@ -71,8 +73,6 @@ public final class BroadcastITCase {
   public void testPado() throws Exception {
     JobLauncher.main(builder
         .addJobId(BroadcastITCase.class.getSimpleName() + "_pado")
-        .addUserMain(Broadcast.class.getCanonicalName())
-        .addUserArgs(inputFilePath, outputFilePath)
         .addOptimizationPolicy(PadoPolicyParallelismFive.class.getCanonicalName())
         .build());
   }
diff --git a/examples/beam/src/test/java/edu/snu/nemo/examples/beam/MapReduceITCase.java b/examples/beam/src/test/java/edu/snu/nemo/examples/beam/MapReduceITCase.java
index ed15fa5..44b0504 100644
--- a/examples/beam/src/test/java/edu/snu/nemo/examples/beam/MapReduceITCase.java
+++ b/examples/beam/src/test/java/edu/snu/nemo/examples/beam/MapReduceITCase.java
@@ -33,19 +33,22 @@ import org.powermock.modules.junit4.PowerMockRunner;
 @PrepareForTest(JobLauncher.class)
 public final class MapReduceITCase {
   private static final int TIMEOUT = 120000;
-  private static ArgBuilder builder = new ArgBuilder();
+  private static ArgBuilder builder;
   private static final String fileBasePath = System.getProperty("user.dir") + "/../resources/";
 
   private static final String inputFileName = "sample_input_mr";
   private static final String outputFileName = "sample_output_mr";
   private static final String testResourceFileName = "test_output_mr";
+  private static final String executorResourceFileName = fileBasePath + "beam_sample_executor_resources.json";
   private static final String inputFilePath =  fileBasePath + inputFileName;
   private static final String outputFilePath =  fileBasePath + outputFileName;
 
-
   @Before
   public void setUp() throws Exception {
-    builder = new ArgBuilder();
+    builder = new ArgBuilder()
+        .addResourceJson(executorResourceFileName)
+        .addUserMain(MapReduce.class.getCanonicalName())
+        .addUserArgs(inputFilePath, outputFilePath);
   }
 
   @After
@@ -61,8 +64,6 @@ public final class MapReduceITCase {
   public void test() throws Exception {
     JobLauncher.main(builder
         .addJobId(MapReduceITCase.class.getSimpleName())
-        .addUserMain(MapReduce.class.getCanonicalName())
-        .addUserArgs(inputFilePath, outputFilePath)
         .addOptimizationPolicy(DefaultPolicyParallelismFive.class.getCanonicalName())
         .build());
   }
@@ -71,8 +72,6 @@ public final class MapReduceITCase {
   public void testSailfish() throws Exception {
     JobLauncher.main(builder
         .addJobId(MapReduceITCase.class.getSimpleName() + "_sailfish")
-        .addUserMain(MapReduce.class.getCanonicalName())
-        .addUserArgs(inputFilePath, outputFilePath)
         .addOptimizationPolicy(SailfishPolicyParallelismFive.class.getCanonicalName())
         .build());
   }
@@ -81,8 +80,6 @@ public final class MapReduceITCase {
   public void testDisagg() throws Exception {
     JobLauncher.main(builder
         .addJobId(MapReduceITCase.class.getSimpleName() + "_disagg")
-        .addUserMain(MapReduce.class.getCanonicalName())
-        .addUserArgs(inputFilePath, outputFilePath)
         .addOptimizationPolicy(DisaggregationPolicyParallelismFive.class.getCanonicalName())
         .build());
   }
@@ -91,8 +88,6 @@ public final class MapReduceITCase {
   public void testPado() throws Exception {
     JobLauncher.main(builder
         .addJobId(MapReduceITCase.class.getSimpleName() + "_pado")
-        .addUserMain(MapReduce.class.getCanonicalName())
-        .addUserArgs(inputFilePath, outputFilePath)
         .addOptimizationPolicy(PadoPolicyParallelismFive.class.getCanonicalName())
         .build());
   }
@@ -105,8 +100,6 @@ public final class MapReduceITCase {
   public void testDataSkew() throws Exception {
     JobLauncher.main(builder
         .addJobId(MapReduceITCase.class.getSimpleName() + "_dataskew")
-        .addUserMain(MapReduce.class.getCanonicalName())
-        .addUserArgs(inputFilePath, outputFilePath)
         .addOptimizationPolicy(DataSkewPolicyParallelismFive.class.getCanonicalName())
         .build());
   }
diff --git a/examples/beam/src/test/java/edu/snu/nemo/examples/beam/MultinomialLogisticRegressionITCase.java b/examples/beam/src/test/java/edu/snu/nemo/examples/beam/MultinomialLogisticRegressionITCase.java
index c37cbbc..13d0d92 100644
--- a/examples/beam/src/test/java/edu/snu/nemo/examples/beam/MultinomialLogisticRegressionITCase.java
+++ b/examples/beam/src/test/java/edu/snu/nemo/examples/beam/MultinomialLogisticRegressionITCase.java
@@ -33,6 +33,7 @@ public final class MultinomialLogisticRegressionITCase {
   private static final int TIMEOUT = 240000;
   private static ArgBuilder builder = new ArgBuilder();
   private static final String fileBasePath = System.getProperty("user.dir") + "/../resources/";
+  private static final String executorResourceFileName = fileBasePath + "beam_sample_executor_resources.json";
 
   @Before
   public void setUp() throws Exception {
@@ -51,6 +52,7 @@ public final class MultinomialLogisticRegressionITCase {
         .addUserMain(MultinomialLogisticRegression.class.getCanonicalName())
         .addUserArgs(input, numFeatures, numClasses, numIteration)
         .addOptimizationPolicy(DefaultPolicy.class.getCanonicalName())
+        .addResourceJson(executorResourceFileName)
         .build());
   }
 }
diff --git a/examples/resources/sample_executor_resources.json b/examples/resources/beam_sample_executor_resources.json
similarity index 54%
copy from examples/resources/sample_executor_resources.json
copy to examples/resources/beam_sample_executor_resources.json
index 5765bf3..1f7f973 100644
--- a/examples/resources/sample_executor_resources.json
+++ b/examples/resources/beam_sample_executor_resources.json
@@ -1,17 +1,17 @@
 [
   {
     "type": "Transient",
-    "memory_mb": 512,
-    "capacity": 5
+    "memory_mb": 300,
+    "capacity": 3
   },
   {
     "type": "Reserved",
-    "memory_mb": 512,
+    "memory_mb": 300,
     "capacity": 5
   },
   {
     "type": "Compute",
-    "memory_mb": 512,
-    "capacity": 5
+    "memory_mb": 300,
+    "capacity": 3
   }
 ]
diff --git a/examples/resources/sample_executor_resources.json b/examples/resources/spark_sample_executor_resources.json
similarity index 75%
rename from examples/resources/sample_executor_resources.json
rename to examples/resources/spark_sample_executor_resources.json
index 5765bf3..187bd45 100644
--- a/examples/resources/sample_executor_resources.json
+++ b/examples/resources/spark_sample_executor_resources.json
@@ -2,16 +2,16 @@
   {
     "type": "Transient",
     "memory_mb": 512,
-    "capacity": 5
+    "capacity": 2
   },
   {
     "type": "Reserved",
     "memory_mb": 512,
-    "capacity": 5
+    "capacity": 2
   },
   {
     "type": "Compute",
     "memory_mb": 512,
-    "capacity": 5
+    "capacity": 2
   }
 ]
diff --git a/examples/spark/pom.xml b/examples/spark/pom.xml
index 2638404..e78df98 100644
--- a/examples/spark/pom.xml
+++ b/examples/spark/pom.xml
@@ -57,6 +57,96 @@ limitations under the License.
             <groupId>org.apache.hadoop</groupId>
             <artifactId>hadoop-common</artifactId>
             <version>${hadoop.version}</version>
+            <exclusions>
+                <exclusion>
+                    <groupId>org.slf4j</groupId>
+                    <artifactId>slf4j-api</artifactId>
+                </exclusion>
+                <exclusion>
+                    <groupId>org.slf4j</groupId>
+                    <artifactId>slf4j-log4j12</artifactId>
+                </exclusion>
+            </exclusions>
         </dependency>
     </dependencies>
+
+    <build>
+        <plugins>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-shade-plugin</artifactId>
+                <version>3.0.0</version>
+                <executions>
+                    <execution>
+                        <phase>package</phase>
+                        <goals>
+                            <goal>shade</goal>
+                        </goals>
+                        <configuration>
+                            <outputFile>
+                                ${project.build.directory}/${project.artifactId}-${project.version}-shaded.jar
+                            </outputFile>
+                            <transformers>
+                                <!-- Required for using beam-hadoop: See https://stackoverflow.com/questions/44365545
+                                -->
+                                <transformer implementation="org.apache.maven.plugins.shade.resource.ManifestResourceTransformer"/>
+                            </transformers>
+                            <filters>
+                                <filter>
+                                    <artifact>*:*</artifact>
+                                    <excludes>
+                                        <exclude>META-INF/*.SF</exclude>
+                                        <exclude>META-INF/*.DSA</exclude>
+                                        <exclude>META-INF/*.RSA</exclude>
+                                    </excludes>
+                                </filter>
+                            </filters>
+                        </configuration>
+                    </execution>
+                </executions>
+            </plugin>
+            <plugin>
+                <groupId>net.alchim31.maven</groupId>
+                <artifactId>scala-maven-plugin</artifactId>
+                <version>3.3.1</version>
+                <configuration>
+                    <recompileMode>incremental</recompileMode>
+                    <javacArgs>
+                        <javacArg>-Xlint:unchecked</javacArg>
+                        <javacArg>-Xlint:deprecation</javacArg>
+                    </javacArgs>
+                </configuration>
+                <executions>
+                    <execution>
+                        <id>scala-compile-first</id>
+                        <phase>process-resources</phase>
+                        <goals>
+                            <goal>add-source</goal>
+                            <goal>compile</goal>
+                        </goals>
+                    </execution>
+                    <execution>
+                        <id>scala-test-compile</id>
+                        <phase>process-test-resources</phase>
+                        <goals>
+                            <goal>testCompile</goal>
+                        </goals>
+                    </execution>
+                </executions>
+            </plugin>
+            <plugin>
+                <groupId>org.apache.maven.plugins</groupId>
+                <artifactId>maven-compiler-plugin</artifactId>
+                <version>2.0.2</version>
+                <executions>
+                    <execution>
+                        <phase>compile</phase>
+                        <goals>
+                            <goal>compile</goal>
+                        </goals>
+                    </execution>
+                </executions>
+            </plugin>
+        </plugins>
+    </build>
 </project>
\ No newline at end of file
diff --git a/examples/spark/src/main/java/edu/snu/nemo/examples/spark/JavaMapReduce.java b/examples/spark/src/main/java/edu/snu/nemo/examples/spark/JavaMapReduce.java
new file mode 100644
index 0000000..e07b80b
--- /dev/null
+++ b/examples/spark/src/main/java/edu/snu/nemo/examples/spark/JavaMapReduce.java
@@ -0,0 +1,83 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one or more
+ * contributor license agreements.  See the NOTICE file distributed with
+ * this work for additional information regarding copyright ownership.
+ * The ASF licenses this file to You under the Apache License, Version 2.0
+ * (the "License"); you may not use this file except in compliance with
+ * the License.  You may obtain a copy of the License at
+ *
+ *    http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+package edu.snu.nemo.examples.spark;
+
+import edu.snu.nemo.compiler.frontend.spark.core.java.JavaPairRDD;
+import edu.snu.nemo.compiler.frontend.spark.core.java.JavaRDD;
+import edu.snu.nemo.compiler.frontend.spark.core.java.JavaSparkContext;
+import edu.snu.nemo.compiler.frontend.spark.sql.SparkSession;
+import scala.Tuple2;
+
+/**
+ * Java MapReduce example.
+ */
+public final class JavaMapReduce {
+
+  /**
+   * Private constructor.
+   */
+  private JavaMapReduce() {
+  }
+
+  /**
+   * Main method.
+   * @param args arguments.
+   * @throws Exception exceptions.
+   */
+  public static void main(final String[] args) throws Exception {
+
+    // Parse Arguments
+    final String input = args[0];
+    final String output = args[1];
+    final int parallelism = args.length > 2 ? Integer.parseInt(args[2]) : 1;
+    final boolean yarn = args.length > 3 && Boolean.parseBoolean(args[3]);
+
+    final SparkSession.Builder sparkBuilder = SparkSession
+        .builder()
+        .appName("JavaWordCount");
+    if (yarn) {
+      sparkBuilder
+          .config("mapreduce.input.fileinputformat.input.dir.recursive", "true")
+          .master("yarn")
+          .config("spark.submit.deployMode", "cluster");
+    }
+    final SparkSession spark = sparkBuilder.getOrCreate();
+
+    final long start = System.currentTimeMillis();
+
+    // Run MR
+    final JavaSparkContext jsc = new JavaSparkContext(spark.sparkContext());
+    final JavaRDD<String> data = jsc.textFile(input, parallelism);
+    final JavaPairRDD<String, Long> documentToCount = data
+        .mapToPair(line -> {
+          final String[] words = line.split(" +");
+          final String documentId = words[0] + "#" + words[1];
+          final long count = Long.parseLong(words[2]);
+          return new Tuple2<>(documentId, count);
+        });
+    final JavaRDD<String> documentToSum = documentToCount
+        .reduceByKey((i1, i2) -> i1 + i2)
+        .map(t -> t._1() + ": " + t._2());
+    documentToSum.saveAsTextFile(output);
+
+    // DONE
+    System.out.println("*******END*******");
+    System.out.println("JCT(ms): " + (System.currentTimeMillis() - start));
+
+    spark.stop();
+  }
+}
diff --git a/examples/spark/src/main/java/edu/snu/nemo/examples/spark/JavaSparkPi.java b/examples/spark/src/main/java/edu/snu/nemo/examples/spark/JavaSparkPi.java
index 96667dd..dfa29b3 100644
--- a/examples/spark/src/main/java/edu/snu/nemo/examples/spark/JavaSparkPi.java
+++ b/examples/spark/src/main/java/edu/snu/nemo/examples/spark/JavaSparkPi.java
@@ -46,7 +46,7 @@ public final class JavaSparkPi {
         .appName("JavaSparkPi")
         .getOrCreate();
 
-    JavaSparkContext jsc = new JavaSparkContext(spark.sparkContext());
+    final JavaSparkContext jsc = new JavaSparkContext(spark.sparkContext());
 
     int slices = (args.length == 1) ? Integer.parseInt(args[0]) : 2;
     int n = 100000 * slices;
diff --git a/examples/spark/src/test/java/edu/snu/nemo/examples/spark/SparkITCase.java b/examples/spark/src/test/java/edu/snu/nemo/examples/spark/SparkITCase.java
index 172ec99..ace7883 100644
--- a/examples/spark/src/test/java/edu/snu/nemo/examples/spark/SparkITCase.java
+++ b/examples/spark/src/test/java/edu/snu/nemo/examples/spark/SparkITCase.java
@@ -35,13 +35,15 @@ import org.powermock.modules.junit4.PowerMockRunner;
 @PrepareForTest(JobLauncher.class)
 @PowerMockIgnore("javax.management.*")
 public final class SparkITCase {
-  private static final int TIMEOUT = 120000;
-  private static ArgBuilder builder = new ArgBuilder();
+  private static final int TIMEOUT = 180000;
+  private static ArgBuilder builder;
   private static final String fileBasePath = System.getProperty("user.dir") + "/../resources/";
+  private static final String executorResourceFileName = fileBasePath + "spark_sample_executor_resources.json";
 
   @Before
   public void setUp() {
-    builder = new ArgBuilder();
+    builder = new ArgBuilder()
+        .addResourceJson(executorResourceFileName);
   }
 
   @Test(timeout = TIMEOUT)
@@ -52,6 +54,7 @@ public final class SparkITCase {
     final String inputFilePath = fileBasePath + inputFileName;
     final String outputFilePath = fileBasePath + outputFileName;
 
+
     JobLauncher.main(builder
         .addJobId(JavaWordCount.class.getSimpleName() + "_test")
         .addUserMain(JavaWordCount.class.getCanonicalName())
@@ -66,6 +69,31 @@ public final class SparkITCase {
     }
   }
 
+  /* Temporary disabled because of Travis issue
+  @Test(timeout = TIMEOUT)
+  public void testSparkMapReduce() throws Exception {
+    final String inputFileName = "sample_input_mr";
+    final String outputFileName = "sample_output_mr";
+    final String testResourceFileName = "test_output_mr";
+    final String inputFilePath = fileBasePath + inputFileName;
+    final String outputFilePath = fileBasePath + outputFileName;
+    final String parallelism = "2";
+    final String runOnYarn = "false";
+
+    JobLauncher.main(builder
+        .addJobId(JavaMapReduce.class.getSimpleName() + "_test")
+        .addUserMain(JavaMapReduce.class.getCanonicalName())
+        .addUserArgs(inputFilePath, outputFilePath, parallelism, runOnYarn)
+        .addOptimizationPolicy(DefaultPolicy.class.getCanonicalName())
+        .build());
+
+    try {
+      ExampleTestUtil.ensureOutputValidity(fileBasePath, outputFileName, testResourceFileName);
+    } finally {
+      ExampleTestUtil.deleteOutputFile(fileBasePath, outputFileName);
+    }
+  }*/
+
   @Test(timeout = TIMEOUT)
   public void testSparkPi() throws Exception {
     final String numParallelism = "3";

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