new:usr:SDK-415:Adding a spark command example

example/qds_spark_python_example.py

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+"""
+This is a sample code used for submitting a Spark Python/R/Scala command and getting the result.
+"""
+
+from qds_sdk.qubole import Qubole
+from qds_sdk.commands import SparkCommand
+import time
+
+
+def get_results_filename(command_id):
+    """
+    A helper method to generate a file name to write the downloaded result
+    :param command_id:
+    :return:
+    """
+    return "/tmp/result_{}.tsv".format(command_id)
+
+
+def get_content(script_file_path):
+    """
+    Helper method to read a script file in the given location.
+    :param script_file_path:
+    :return:
+    """
+    with open(script_file_path, 'r') as content_file:
+        content = content_file.read()
+    return content
+
+
+def execute_script(cluster_label, cmd_to_run, language, user_program_arguments=None, arguments=None):
+    """
+    Helper method to execute a script
+    :param cluster_label:
+    :param cmd_to_run:
+    :param language:
+    :param user_program_arguments:
+    :param arguments:
+    :return:
+    """
+    if script is None or script == "":
+        print("script cannot be None or empty")
+        return None
+
+    if not language:
+        print("language cannot be None or empty")
+        return
+
+    # A python, R or scala command needs to be invoked in this fashion.
+    cmd = SparkCommand.create(label=cluster_label, program=cmd_to_run, language=language, arguments=arguments,
+                              user_program_arguments=user_program_arguments)
+
+    while not SparkCommand.is_done(cmd.status):
+        print("Waiting for completion of command : {}".format(cmd.id))
+        cmd = SparkCommand.find(cmd.id)
+        time.sleep(5)
+
+    if SparkCommand.is_success(cmd.status):
+        print("\nCommand Executed: Completed successfully")
+    else:
+        print("\nCommand Executed: Failed!!!. The status returned is: {}".format(cmd.status))
+        print(cmd.get_log())
+    return cmd
+
+
+def get_results(command):
+    """
+    A helper method to get the results
+    :param command:
+    :return:
+    """
+    if command is None:
+        return None
+
+    results_file_name = get_results_filename(command.id)
+    fp = open(results_file_name, 'w')
+
+    command.get_results(fp, delim="\n")
+    print("results are written to {}".format(results_file_name))
+
+
+if __name__ == '__main__':
+    # Set the API token. If you are using any other environment other then api.qubole.com then set api_url to that url
+    # as <env_url>/api
+    Qubole.configure(api_token='<api_token>')
+
+    filename = "<your script location>"
+    script_language = None  # Script language.. Python, R or scala
+    user_program_arguments = None  # arguments for your script
+    arguments = None  # spark configuration for your program for ex : "--conf spark.executor.memory=1024M"
+    cluster_label = "<your cluster label>"  # the cluster on which the command will run
+
+    # Running a python command. In case of scala or R get the script content and then set the langauage field to scala
+    # or R as required
+    script = get_content(filename)
+    command = execute_script(cluster_label, script, script_language, user_program_arguments=user_program_arguments,
+                             arguments=arguments)
+    get_results(command)

example/qds_spark_scala_inline_example.py

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+"""
+This is a sample code used for submitting a Spark Python/R/Scala command and getting the result.
+"""
+
+from qds_sdk.qubole import Qubole
+from qds_sdk.commands import SparkCommand
+import time
+
+
+def get_results_filename(command_id):
+    """
+    A helper method to generate a file name to write the downloaded result
+    :param command_id:
+    :return:
+    """
+    return "/tmp/result_{}.tsv".format(command_id)
+
+
+def execute_script(cluster_label, cmd_to_run, language, user_program_arguments=None, arguments=None):
+    """
+    Helper method to execute a script
+    :param cluster_label:
+    :param cmd_to_run:
+    :param language:
+    :param user_program_arguments:
+    :param arguments:
+    :return:
+    """
+    if script is None or script == "":
+        print("script cannot be None or empty")
+        return None
+
+    if not language:
+        print("language cannot be None or empty")
+        return
+
+    # A python, R or scala command needs to be invoked in this fashion.
+    cmd = SparkCommand.create(label=cluster_label, program=cmd_to_run, language=language, arguments=arguments,
+                              user_program_arguments=user_program_arguments)
+
+    while not SparkCommand.is_done(cmd.status):
+        print("Waiting for completion of command : {}".format(cmd.id))
+        cmd = SparkCommand.find(cmd.id)
+        time.sleep(5)
+
+    if SparkCommand.is_success(cmd.status):
+        print("\nCommand Executed: Completed successfully")
+    else:
+        print("\nCommand Executed: Failed!!!. The status returned is: {}".format(cmd.status))
+        print(cmd.get_log())
+    return cmd
+
+
+def get_results(command):
+    """
+    A helper method to get the results
+    :param command:
+    :return:
+    """
+    if command is None:
+        return None
+
+    results_file_name = get_results_filename(command.id)
+    fp = open(results_file_name, 'w')
+
+    command.get_results(fp, delim="\n")
+    print("results are written to {}".format(results_file_name))
+
+
+if __name__ == '__main__':
+    # Set the API token. If you are using any other environment other then api.qubole.com then set api_url to that url
+    # as <env_url>/api
+    Qubole.configure(api_token='<api_token>')
+
+    script_language = "scala"  # Script language.. Python, R or scala
+    user_program_arguments = None  # arguments for your script
+    arguments = None  # spark configuration for your program for ex : "--conf spark.executor.memory=1024M"
+    cluster_label = "<your cluster label>"  # the cluster on which the command will run
+
+    # Running a python command. In case of scala or R get the script content and then set the langauage field to scala
+    # or R as required
+    script = """
+            import org.apache.spark.sql.SparkSession
+
+            object TestMergeBucketIdScenarios {
+              def main(args: Array[String]): Unit = {
+                val spark = SparkSession.builder().appName("Spark Example").getOrCreate()
+                val sampleData = Seq(("John" ,19), ("Smith", 29),("Adam", 35),("Henry", 50))
+
+                import spark.implicits._
+                val dataFrame = sampleData.toDF("name", "age")
+                val output = dataFrame.select("name").where("age < 30").collect
+                output.foreach(println)
+              }
+            }"""
+    command = execute_script(cluster_label, script, script_language, user_program_arguments=user_program_arguments,
+                             arguments=arguments)
+    get_results(command)

example/qds_spark_shell_command_example.py

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+"""
+This is a sample code used for submitting a Shell script as a SparkCommand on a spark Cluster and getting the result.
+"""
+
+from qds_sdk.qubole import Qubole
+from qds_sdk.commands import SparkCommand
+import time
+
+
+def get_results_filename(command_id):
+    """
+    A helper method to generate a file name to write the downloaded result
+    :param command_id:
+    :return:
+    """
+    return "/tmp/result_{}.tsv".format(command_id)
+
+
+def execute_spark_shell_command(cluster_label, cmd_to_run):
+    """
+    Helper method to execute a script
+    :param cluster_label:
+    :param cmd_to_run:
+    :return:
+    """
+    if cmd_to_run is None or cmd_to_run == "":
+        print("command to run cannot be None or empty")
+        return None
+
+    # A Shell command needs to be invoked in this fashion
+    cmd = SparkCommand.create(label=cluster_label, cmdline=cmd_to_run)
+
+    while not SparkCommand.is_done(cmd.status):
+        print("Waiting for completion of command : {}".format(cmd.id))
+        cmd = SparkCommand.find(cmd.id)
+        time.sleep(5)
+
+    if SparkCommand.is_success(cmd.status):
+        print("\nCommand Executed: Completed successfully")
+    else:
+        print("\nCommand Executed: Failed!!!. The status returned is: {}".format(cmd.status))
+        print(cmd.get_log())
+    return cmd
+
+
+def get_results(command):
+    """
+    A helper method to get the results
+    :param command:
+    :return:
+    """
+    if command is None:
+        return None
+
+    results_file_name = get_results_filename(command.id)
+    fp = open(results_file_name, 'w')
+
+    command.get_results(fp, delim="\n")
+    print("results are written to {}".format(results_file_name))
+
+
+if __name__ == '__main__':
+    # Set the API token. If you are using any other environment other then api.qubole.com then set api_url to that url
+    # as <env_url>/api
+    Qubole.configure(api_token='<api_token>')
+
+    arguments = None  # spark configuration for your program for ex : "--conf spark.executor.memory=1024M"
+    cluster_label = "<your cluster label>"  # the cluster on which the command will run
+
+    # Running a shell command
+    script = "/usr/lib/spark/bin/spark-submit --class org.apache.spark.examples.SparkPi --master yarn " \
+             "--deploy-mode client /usr/lib/spark/spark-examples* 1"
+    command = execute_spark_shell_command(cluster_label, script)
+    get_results(command)

example/qds_spark_sql_example.py

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+"""
+This is a sample code used for submitting a SQL query as a SparkCommand and getting the result.
+"""
+
+from qds_sdk.qubole import Qubole
+from qds_sdk.commands import SparkCommand
+import time
+
+
+def get_results_filename(command_id):
+    """
+    A helper method to generate a file name to write the downloaded result
+    :param command_id:
+    :return:
+    """
+    return "/tmp/result_{}.tsv".format(command_id)
+
+
+def execute_sql_query(cluster_label, query, arguments=None):
+    """
+    Helper method to execute a script
+    :param cluster_label:
+    :param query:
+    :param arguments:
+    :return:
+    """
+    if query is None or query == "":
+        print("query cannot be None or empty")
+        return None
+
+    # A SQL command needs to be invoked in this fashion
+    cmd = SparkCommand.create(label=cluster_label, sql=query, arguments=arguments)
+
+    while not SparkCommand.is_done(cmd.status):
+        print("Waiting for completion of command : {}".format(cmd.id))
+        cmd = SparkCommand.find(cmd.id)
+        time.sleep(5)
+
+    if SparkCommand.is_success(cmd.status):
+        print("\nCommand Executed: Completed successfully")
+    else:
+        print("\nCommand Executed: Failed!!!. The status returned is: {}".format(cmd.status))
+        print(cmd.get_log())
+    return cmd
+
+
+def get_results(command):
+    """
+    A helper method to get the results
+    :param command:
+    :return:
+    """
+    if command is None:
+        return None
+
+    results_file_name = get_results_filename(command.id)
+    fp = open(results_file_name, 'w')
+
+    command.get_results(fp, delim="\n")
+    print("results are written to {}".format(results_file_name))
+
+
+if __name__ == '__main__':
+    # Set the API token. If you are using any other environment other then api.qubole.com then set api_url to that url
+    # as <env_url>/api
+    Qubole.configure(api_token='<api_token>')
+
+    arguments = None  # spark configuration for your program for ex : "--conf spark.executor.memory=1024M"
+    cluster_label = "<your cluster label>"  # the cluster on which the command will run
+
+    # Running a SQL command
+    script = "show tables"
+    command = execute_sql_query(cluster_label, script, arguments=arguments)
+    get_results(command)