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About

This repository contains two example spark apps that can run on Apache Spark.

  • word-count-java: contains word count example written in Java
  • sparkpi-scala: contains sparkpi example written in Scala

Below are the steps to run these standard examples on CDAP.

Updates to the pom.xml

  • Changes required to create bundle jar
      <plugin>
        <groupId>org.apache.felix</groupId>
        <artifactId>maven-bundle-plugin</artifactId>
        <version>2.3.7</version>
        <extensions>true</extensions>
        <configuration>
          <instructions>
            <Embed-Dependency>*;inline=false;scope=compile</Embed-Dependency>
            <Embed-Transitive>true</Embed-Transitive>
            <Embed-Directory>lib</Embed-Directory>
            <_exportcontent>*</_exportcontent>
          </instructions>
        </configuration>
        <executions>
          <execution>
            <phase>package</phase>
            <goals>
              <goal>bundle</goal>
            </goals>
          </execution>
        </executions>
      </plugin>
  • Dependencies for spark-core, spark-streaming, spark-mllib, and spark-sql are provide by CDAP. So if the legacy program is using these dependencies then the pom.xml should be updated to have provided scope for them.

For example:

    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-core_2.10</artifactId>
      <version>1.6.1</version>
      <scope>provided</scope>
    </dependency>

    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-streaming_2.10</artifactId>
      <version>1.6.1</version>
      <scope>provided</scope>
    </dependency>

    <dependency>
      <groupId>org.apache.spark</groupId>
      <artifactId>spark-mllib_2.10</artifactId>
      <version>1.6.1</version>
      <scope>provided</scope>
    </dependency>

    <dependency>
        <groupId>org.apache.spark</groupId>
        <artifactId>spark-sql_2.10</artifactId>
      <version>1.6.1</version>
      <scope>provided</scope>
    </dependency>

Running examples using CDAP

We will use Notifiable Workflow app(https://github.com/caskdata/cdap-notifiable-workflow-app) to execute these spark programs. Notifiable Workflow app is a pluggable CDAP application which can execute any spark programs without requiring any code changes. Following steps assume that the deployed version of Notifiable Workflow app in CDAP is 1.0.0.

  1. Word Count

    • Package
    cd word-count-java
mvn clean package
    • Deploy wordcount-1.0.0.jar in CDAP as a plugin.
    curl -w"\n" -X POST "localhost:11015/v3/namespaces/default/artifacts/word-count-program" \
  -H 'Artifact-Plugins: [ { "name": "WordCount", "type": "sparkprogram", "className": "com.example.spark.JavaWordCount" }]' \
  -H "Artifact-Version: 1.0.0" \
  -H "Artifact-Extends: system:cdap-notifiable-workflow[1.0.0, 1.0.0]" \
  --data-binary @<path-to-wordcount-1.0.0.jar>
    • Create a CDAP Application with the plugin just deployed.
    curl -w"\n" "localhost:11015/v3/namespaces/default/apps/WordCountApp" -X PUT -d @app.json

    where app.json contains the configurations which are used to configure the applications.

    {
  "artifact": {
     "name": "cdap-notifiable-workflow",
     "version": "1.0.0",
     "scope": "system"
  },
  "config": {
     "plugin": {
        "name": "WordCount",
        "type": "sparkprogram",
        "artifact": {
           "name": "word-count-program",
           "scope": "user",
           "version": "1.0.0"
        }
     },

     "notificationEmailSender": "[email protected]",
     "notificationEmailIds": ["[email protected]"],
     "notificationEmailSubject": "[Critical] Workflow execution failed.",
     "notificationEmailBody": "Execution of Workflow running the WordCount program failed."
  }
}

    At this point WordCountApp should be created for you.

    • Run the NotifiableWorkflow program in the WordCountApp. main method of the JavaWordCount spark program expects two arguments, name of the input file and name of the output directory. These arguments can be supplied to the NotifiableWorkflow program through program.args runtime argument as
    curl -w"\n" -X POST "localhost:11015/v3/namespaces/default/apps/WordCountApp/workflows/NotifiableWorkflow/start" \
-d '{"program.args": "/data/input.txt /data/output.dir"}'
    • NotifiableWorkflow program can be scheduled to run at desired interval. Following command schedules it to run at every day 4 AM.
    curl -w"\n" -X PUT "localhost:11015/v3/namespaces/default/apps/WordCountApp/schedules/DailySchedule" \
 -d  '{ "scheduleType": "TIME", "program": { "programName": "NotifiableWorkflow", "programType": "WORKFLOW" }, "properties": {}, "schedule": { "cronExpression": "0 4 * * *", "name": "DailySchedule"} }'
    • Verify the schedule is attached to the program by querying the list of schedules.
    curl -w"\n" "localhost:11015/v3/namespaces/default/apps/WordCountApp/workflows/NotifiableWorkflow/schedules"
    • Schedule associated with the NotifiableWorklow can be easily updated. Following command update the schedule to run it at 10 AM instead.
    curl -w"\n" -X POST "localhost:11015/v3/namespaces/default/apps/WordCountApp/schedules/DailySchedule/update" \
 -d '{ "scheduleType": "TIME", "program": { "programName": "NotifiableWorkflow", "programType": "WORKFLOW" }, "properties": {}, "schedule": { "cronExpression": "0 10 * * *", "name": "DailySchedule" } }'

  2. Spark Pi

    • Package
    cd spark-pi-scala
mvn clean package
    • Deploy sparkpi-1.0.0.jar in CDAP as a plugin.
    curl -w"\n" -X POST "localhost:11015/v3/namespaces/default/artifacts/sparkpi-program" \
 -H 'Artifact-Plugins: [ { "name": "SparkPi", "type": "sparkprogram", "className": "com.example.spark.SparkPi" }]' \
 -H "Artifact-Version: 1.0.0" \
 -H "Artifact-Extends: system:cdap-notifiable-workflow[1.0.0, 1.0.0]" \
 --data-binary @<path-to-sparkpi-1.0.0.jar>
    • Create CDAP Application with the plugin just deployed.
    curl -v "localhost:11015/v3/namespaces/default/apps/SparkPiApp" -X PUT -d @app.json

    where app.json contains the configurations which are used to configure the applications.

    {
  "artifact": {
     "name": "cdap-notifiable-workflow",
     "version": "1.0.0",
     "scope": "system"
  },
  "config": {
     "plugin": {
        "name": "SparkPi",
        "type": "sparkprogram",
        "artifact": {
           "name": "sparkpi-program",
           "scope": "user",
           "version": "1.0.0"
        }
     },

     "notificationEmailSender": "[email protected]",
     "notificationEmailIds": ["[email protected]"],
     "notificationEmailSubject": "[Critical] Workflow execution failed.",
     "notificationEmailBody": "Execution of Workflow running the SparkPi program failed."
  }
}

    At this point SparkPiApp application should be created in CDAP.

    • Run the NotifiableWorkflow program in the SparkPiApp. main method of the SparkPi program expects number of slices as an input argument. This argument can be supplied to the NotifiableWorkflow program through program.args runtime argument as
    curl -w"\n" -X POST "localhost:11015/v3/namespaces/default/apps/SparkPiApp/workflows/NotifiableWorkflow/start" \
 -d '{"program.args": "3"}'
    • Similar to WordCountApp, NotifiableWorkflow in SparkPiApp can be scheduled to run at a desired interval.

Mailing Lists

CDAP User Group and Development Discussions:

The cdap-user mailing list is primarily for users using the product to develop applications or building plugins for appplications. You can expect questions from users, release announcements, and any other discussions that we think will be helpful to the users.

License and Trademarks

Copyright © 2016-2017 Cask Data, Inc.

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.

Cask is a trademark of Cask Data, Inc. All rights reserved.

Apache, Apache HBase, and HBase are trademarks of The Apache Software Foundation. Used with permission. No endorsement by The Apache Software Foundation is implied by the use of these marks.