amazon web services - Is there a way to add multiple jobs using HadoopJarStepConfig jarConfig = new HadoopJarStepConfig(HADOOP_JAR); -

i have written aws swf workflow , first action boot cluster , run mapreduce program. action has 2 other mapreduce jars executed depending upon first jar's output. using add jars

    hadoopjarstepconfig jarconfig = new hadoopjarstepconfig(s3n_hadoop_jar);     jarconfig.setargs(args_as_list);     hadoopjarstepconfig jarconfig1 = new hadoopjarstepconfig(s3n_hadoop_jar);     jarconfig1.setargs(args_as_list1);     try {         stepconfig enabledebugging = new stepconfig()                 .withname("enable debugging")                 .withactiononfailure("terminate_job_flow")                 .withhadoopjarstep(new stepfactory().newenabledebuggingstep());         stepconfig runjar = new stepconfig(hadoop_jar, jarconfig);         stepconfig runjar1 = new stepconfig(hadoop_jar, jarconfig1);         request.setsteps(arrays.aslist(new stepconfig[]{enabledebugging, runjar, runjar1}));         runjobflowresult result = emr.runjobflow(request); 

is correct way add multiple jars. thanks.

use:

request.withsteps(enabledebugging, runjar, runjar1);

don't use:

new stepconfig[]{enabledebugging, runjar, runjar1})); wrong, dont need spetconfig again here..