/**
 * Generated by API Builder - https://www.apibuilder.io
 * Service version: 2.0.0-dev
 * User agent: apibuilder app.apibuilder.io/hbc/svc-sundial/2.0.0-dev/java_models
 */
package com.hbc.svc.sundial.v2.models;

public class EmrCommand implements TaskExecutable {
    /**
     * The EMR cluster on which to launch the job (aka step)
     */
    private EmrCluster emrCluster;

    /**
     * NAme to be assigned to the Job
     */
    private String jobName;

    /**
     * the AWS Region
     */
    private String region = "us-east-1";

    /**
     * The spark job's `Main.class` to run
     */
    private String class_;

    /**
     * the s3 path to the jar of the job to be run
     */
    private String s3JarPath;

    /**
     * options that will be sent to spark as --conf key=value, e.g. `--conf spark.driver.extraJavaOptions=-Denvironment=integration`
     */
    private java.util.List<String> sparkConf;

    /**
     * External maven dependencies to include with Spark job
     */
    private java.util.List<MavenPackage> sparkPackages = new java.util.ArrayList<MavenPackage>();

    /**
     * command line arguments to be passe to the job's main class
     */
    private java.util.List<String> args;

    /**
     * AWS EMR periodically (currently every 5 minutes) zips up all the logs and upload them into S3. This does not work well with sundial's _live logs_. Make use of S3 Logs to visualise in real time job's log on sundial's live logs panel
     */
    private S3LogDetails s3LogDetails;

    /**
     * will trigger a s3 dist cp job for every entry in this array, can be used to load data from s3 into HDFS. **requires Hadoop** as application on the cluster
     */
    private java.util.List<S3Cp> loadData;

    /**
     * will trigger a s3 dist cp job for every entry in this array, can be used to save data from HDFS to s3. **requires Hadoop** as application on the cluster
     */
    private java.util.List<S3Cp> saveResults;

    public EmrCommand() {}
}