src/toil_lib/tools/spark_tools.py
def _make_parameters(master_ip, default_parameters, memory, arguments, override_parameters):
    """
    Makes a Spark Submit style job submission line.

    :param masterIP: The Spark leader IP address.
    :param default_parameters: Application specific Spark configuration parameters.
    :param memory: The memory to allocate to each Spark driver and executor.
    :param arguments: Arguments to pass to the submitted job.
    :param override_parameters: Parameters passed by the user, that override our defaults.
    
    :type masterIP: MasterAddress
    :type default_parameters: list of string
    :type arguments: list of string
    :type memory: int or None
    :type override_parameters: list of string or None
    """

    # python doesn't support logical xor?
    # anywho, exactly one of memory or override_parameters must be defined
    require((override_parameters is not None or memory is not None) and
            (override_parameters is None or memory is None),
            "Either the memory setting must be defined or you must provide Spark configuration parameters.")
    
    # if the user hasn't provided overrides, set our defaults
    parameters = []
    if memory is not None:
        parameters = ["--master", "spark://%s:%s" % (master_ip, SPARK_MASTER_PORT),
                      "--conf", "spark.driver.memory=%sg" % memory,
                      "--conf", "spark.executor.memory=%sg" % memory,
                      "--conf", ("spark.hadoop.fs.default.name=hdfs://%s:%s" % (master_ip, HDFS_MASTER_PORT))]
    else:
        parameters.extend(override_parameters)

    # add the tool specific spark parameters
    parameters.extend(default_parameters)

    # spark submit expects a '--' to split the spark conf arguments from tool arguments
    parameters.append('--')

    # now add the tool arguments and return
    parameters.extend(arguments)

    return parameters
def _make_parameters(master_ip, default_parameters, memory, arguments, override_parameters):
    # python doesn't support logical xor?
    # anywho, exactly one of memory or override_parameters must be defined
    require((override_parameters is not None or memory is not None) and
            (override_parameters is None or memory is None),
            "Either the memory setting must be defined or you must provide Spark configuration parameters.")
    
    # if the user hasn't provided overrides, set our defaults
    parameters = []
    if memory is not None:
        parameters = ["--master", "spark://%s:%s" % (master_ip, SPARK_MASTER_PORT),
                      "--conf", "spark.driver.memory=%sg" % memory,
                      "--conf", "spark.executor.memory=%sg" % memory,
                      "--conf", ("spark.hadoop.fs.default.name=hdfs://%s:%s" % (master_ip, HDFS_MASTER_PORT))]
    else:
        parameters.extend(override_parameters)

    # add the tool specific spark parameters
    parameters.extend(default_parameters)

    # spark submit expects a '--' to split the spark conf arguments from tool arguments
    parameters.append('--')

    # now add the tool arguments and return
    parameters.extend(arguments)

    return parameters
def _make_parameters ( master_ip , default_parameters , memory , arguments , override_parameters ) : # python doesn't support logical xor? # anywho, exactly one of memory or override_parameters must be defined require ( ( override_parameters is not None or memory is not None ) and ( override_parameters is None or memory is None ) , "Either the memory setting must be defined or you must provide Spark configuration parameters." ) # if the user hasn't provided overrides, set our defaults parameters = [ ] if memory is not None : parameters = [ "--master" , "spark://%s:%s" % ( master_ip , SPARK_MASTER_PORT ) , "--conf" , "spark.driver.memory=%sg" % memory , "--conf" , "spark.executor.memory=%sg" % memory , "--conf" , ( "spark.hadoop.fs.default.name=hdfs://%s:%s" % ( master_ip , HDFS_MASTER_PORT ) ) ] else : parameters . extend ( override_parameters ) # add the tool specific spark parameters parameters . extend ( default_parameters ) # spark submit expects a '--' to split the spark conf arguments from tool arguments parameters . append ( '--' ) # now add the tool arguments and return parameters . extend ( arguments ) return parameters
Makes a Spark Submit style job submission line.

    :param masterIP: The Spark leader IP address.
    :param default_parameters: Application specific Spark configuration parameters.
    :param memory: The memory to allocate to each Spark driver and executor.
    :param arguments: Arguments to pass to the submitted job.
    :param override_parameters: Parameters passed by the user, that override our defaults.
    
    :type masterIP: MasterAddress
    :type default_parameters: list of string
    :type arguments: list of string
    :type memory: int or None
    :type override_parameters: list of string or None
Makes a Spark Submit style job submission line .