Пример #1
0
def submit_classify_job(job_config, cluster_id, dry_run, **kwargs):
    job_configuration = "config/classify_job.config"
    if job_config is not None and job_config.strip() != "":
        job_configuration = job_config.strip()

    config = configparser.ConfigParser()
    config.optionxform = str
    config.read(job_configuration)

    if cluster_id is None or cluster_id.strip() == "":
        cluster_id = utility.get_cluster_id(dry_run)
    else:
        cluster_id = cluster_id.strip()

    if cluster_id != "" and check_configuration(config):
        if config["job_config"].get("upload_classify_script", "False") == "True":
            utility.upload_files_to_s3([(config["job_config"]["classify_script"],
                                         config["job_config"]["classify_script_local_location"],
                                         config["job_config"]["classify_script_s3_location"])], dry_run)

        num_executors = calculate_num_executor(cluster_id, config["spark_config"]["executor_memory"])
        if num_executors < 0:
            config["spark_config"]["num_executors"] = "None"
        else:
            config["spark_config"]["num_executors"] = str(num_executors)

        config["spark_config"]["executor_cores"] = "1"

        job_argument = build_command(cluster_id, config, num_executors)

        if not dry_run:
            emr_client = boto3.client("emr")
            # warn user before removing any output
            out = config["script_arguments"]["output_location"]
            # find out which output dirs, if any, exist
            dirs_to_remove = utility.check_s3_path_exists([out])
            # create a list of the names of the directories to remove
            if dirs_to_remove:
                response = input("About to remove any existing output directories." +
                                 "\n\n\t{}\n\nProceed? [y/n]: ".format(
                                     '\n\n\t'.join(dirs_to_remove)))
                while response not in ['y', 'n']:
                    response = input('Proceed? [y/n]: ')
                if response == 'n':
                    print("Program Terminated.  Modify config file to change " +
                          "output directories.")
                    sys.exit(0)
                # remove the output directories
                if not utility.remove_s3_files(dirs_to_remove):
                    print("Program terminated")
                    sys.exit(1)
            job_submission = emr_client.add_job_flow_steps(**job_argument)
            print("Submitted job to cluster {}. Job id is {}".format(cluster_id, job_submission["StepIds"][0]))
        else:
            print(job_argument)
Пример #2
0
    if cluster_id != "" and check_configuration(config):
        if config["job_config"].get("upload_downloader_script", "False") == "True":
            utility.upload_files_to_s3([(config["job_config"]["downloader_script"],
                                         config["job_config"]["downloader_script_local_location"],
                                         config["job_config"]["downloader_script_s3_location"])], parser_result.dry_run)

        job_argument = build_command(config)

        if not parser_result.dry_run:
            emr_client = boto3.client("emr")
            # warn user before removing any output
            out = config["script_arguments"]["output_location"]
            rep = config["script_arguments"]["report_location"]
            # find out which output dirs, if any, exist
            dirs_to_remove = utility.check_s3_path_exists([out, rep])
            if dirs_to_remove:
                response = input("About to remove any existing output directories." +
                                 "\n\n\t{}\n\nProceed? [y/n]: ".format(
                                     '\n\n\t'.join(dirs_to_remove)))
                while response not in ['y', 'n']:
                    response = input('Proceed? [y/n]: ')
                if response == 'n':
                    print("Program Terminated.  Modify config file to change " +
                          "output directories.")
                    sys.exit(0)
                # remove the output directories
                if not utility.remove_s3_files(dirs_to_remove):
                    print("Program terminated")
                    sys.exit(1)
            job_submission = emr_client.add_job_flow_steps(**job_argument)
Пример #3
0
        num_executors = calculate_num_executor(cluster_id, config["spark_config"]["executor_memory"])
        if num_executors < 0:
            config["spark_config"]["num_executors"] = "None"
        else:
            config["spark_config"]["num_executors"] = str(num_executors)

        config["spark_config"]["executor_cores"] = "1"

        job_argument = build_command(config)

        if not parser_result.dry_run:
            emr_client = boto3.client("emr")
            # warn user before removing any output
            out = config["script_arguments"]["output_location"]
            # find out which output dirs, if any, exist
            dirs_to_remove = utility.check_s3_path_exists([out])
            # create a list of the names of the directories to remove
            if dirs_to_remove:
                response = input("About to remove any existing output directories." +
                                 "\n\n\t{}\n\nProceed? [y/n]: ".format(
                                     '\n\n\t'.join(dirs_to_remove)))
                while response not in ['y', 'n']:
                    response = input('Proceed? [y/n]: ')
                if response == 'n':
                    print("Program Terminated.  Modify config file to change " +
                          "output directories.")
                    sys.exit(0)
                # remove the output directories
                if not utility.remove_s3_files(dirs_to_remove):
                    print("Program terminated")
                    sys.exit(1)