title: How to configure "Use AWS Glue Data Catalog for table metadata" for EMR cluster option through boto library?
body: <p>I am trying to create an EMR cluster by writing a AWS lambda function using python boto library.However I am able to create the cluster but I want to use "AWS Glue Data Catalog for table metadata" so that I can use spark to directly read from the glue data catalog.While creating the EMR cluster through AWS user interface I usually check in a checkbox ("Use AWS Glue Data Catalog for table metadata") which solves my purpose.But I am not getting any clue how can I achieve the same through boto library.</p>
  
  <p>Below is the python code which I am using to create the EMR cluster.</p>
  
  <pre><code>    try:
          connection = boto3.client(
              'emr',
              region_name='xxx'
          )
          cluster_id = connection.run_job_flow(
              Name='EMR-LogProcessing',
              LogUri='s3://somepath/',
              ReleaseLabel='emr-5.21.0',
              Applications=[
                  {
                      'Name': 'Spark'
                  },
              ],
              Instances={
                  'InstanceGroups': [
                      {
                          'Name': "MasterNode",
                          'Market': 'SPOT',
                          'InstanceRole': 'MASTER',
                          'BidPrice': 'xxx',
                          'InstanceType': 'm3.xlarge',
                          'InstanceCount': 1,
                      },
                      {
                          'Name': "SlaveNode",
                          'Market': 'SPOT',
                          'InstanceRole': 'CORE',
                          'BidPrice': 'xxx',
                          'InstanceType': 'm3.xlarge',
                          'InstanceCount': 2,
                      }
                  ],
                  'Ec2KeyName': 'xxx',
                  'KeepJobFlowAliveWhenNoSteps': True,
                  'TerminationProtected': False
              },
              VisibleToAllUsers=True,
              JobFlowRole='EMR_EC2_DefaultRole',
              ServiceRole='EMR_DefaultRole',
              Tags=[
                  {
                      'Key': 'Name',
                      'Value': 'EMR-LogProcessing',
                  },
                  {
                      'Key': 'env',
                      'Value': 'dev',
                  },
              ],
          )
  
          print('cluster created with the step...', cluster_id['JobFlowId'])
      except Exception as exp:
          logger.info("Exception Occured in createEMRcluster!!! %s", str(exp))
  </code></pre>
  
  <p>I am not finding any clue how can I achieve it.Please help.</p>