气流emraddstepsoperator无法执行火花阴影罐

Question

Spark App的步骤类型应该是什么。.我面临的问题是，主类型未设置或无法识别纱线..似乎将应用程序视为简单的jar而不是Spark提交模式。 dag，error和emr屏幕截图

Amazon Emr Cloud Console手动添加Spark作业，作为步骤

=“ https://i.sstatic.net/oeflx.png” rel =“ nofollow noreferrer”>在添加spark jar键入步骤而不是自定义jar步骤之后。给出spark spark sump args and args and main method args args args agr

步骤类型可以流式传输或spark应用程序或自定义jar

我的错误消息：

> Exception in thread "main" org.apache.spark.SparkException: A master URL must be set in your configuration
    at org.apache.spark.SparkContext.<init>(SparkContext.scala:385)
    at org.apache.spark.SparkContext$.getOrCreate(SparkContext.scala:2574)
    at org.apache.spark.sql.SparkSession$Builder.$anonfun$getOrCreate$2(SparkSession.scala:934)
    at scala.Option.getOrElse(Option.scala:121)
    at org.apache.spark.sql.SparkSession$Builder.getOrCreate(SparkSession.scala:928)
    at com.mcf.ExtractcustomerCategoryWiseSummarizedViews$.main(ExtractcustomerCategoryWiseSummarizedViews.scala:13)
    at com.mcf.ExtractcustomerCategoryWiseSummarizedViews.main(ExtractcustomerCategoryWiseSummarizedViews.scala)
    at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
    at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
    at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
    at java.lang.reflect.Method.invoke(Method.java:498)
    at org.apache.hadoop.util.RunJar.run(RunJar.java:323)
    at org.apache.hadoop.util.RunJar.main(RunJar.java:236)

这是一个AWS EMR管道的示例DAG。

首先创建集群，添加步骤/操作，检查步骤以及完成后完成 终止集群。

import time    
from airflow.operators.python import PythonOperator     
from datetime import timedelta    

from airflow import DAG    
from airflow.providers.amazon.aws.operators.emr_add_steps import EmrAddStepsOperator    
from airflow.providers.amazon.aws.operators.emr_create_job_flow import EmrCreateJobFlowOperator    
from airflow.providers.amazon.aws.operators.emr_terminate_job_flow import EmrTerminateJobFlowOperator     
from airflow.providers.amazon.aws.sensors.emr_step import EmrStepSensor    
from airflow.utils.dates import days_ago    

SPARK_STEPS = [    
    {    
        'Name': 'PerformETL',    
        'ActionOnFailure': 'CONTINUE',    
        'HadoopJarStep': {
            'Jar': 's3://mydata/jars/open-0.0.1-SNAPSHOT.jar',    
            #'MainClass': 'com.sadim.main',    
            'Args': ['spark-submit',    
                    '--deploy-mode',    
                    'cluster',    
                    '--master',    
                    'yarn',    
                    '--class',    
                    'com.sadim.ExtractcustomerCategoryWiseSummarizedViews',     
                    '--mode',    
                'DeltaLoadByDays',    
                '--noOfDaysBehindTodayForDeltaLoad',    
                '1',    
                '--s3InputPath',    
                's3://data-lake/documents/accountscore/categoriseddata/',    
                '--s3OutputPathcustomerCategoryWiseSummarizedViews',    
                's3://test-data/spark_output//customerCategoryWiseSummarizedViews//test'],    
        },
    }
]
SPARK_STEPS2 = [
    {
        'Name': 'sadim_test3',
        'ActionOnFailure': 'CONTINUE',
        'HadoopJarStep': {
            'Jar': 's3://test-data/jars/scalatestnadeem-0.0.1-SNAPSHOT_v2.jar',
            'MainClass': 'com.sadim.scalatestnadeem.Test',
            'Args': ['spark-submit',    
                '--deploy-mode',    
                'client',    
                '--master',    
                'yarn',    
                '--conf',    
                'spark.yarn.submit.waitAppCompletion=true'],    
        },    
    }    
]    
SPARK_STEPS3 = [    
    {    
        'Name': 'sadim_test3',    
        'ActionOnFailure': 'CONTINUE',    
        'HadoopJarStep': {    
            'Jar': 's3://mydata/jars/open-0.0.1-SNAPSHOT_masteryarnwithoutdependencyandtest.jar',    
            'MainClass': 'com.sadim.TestSadim',    
            'Args': ['spark-submit',     
                '--deploy-mode',    
                'client',     
                '--master',     
                'yarn',    
                '--conf',    
                'spark.yarn.submit.waitAppCompletion=true'],    
        },    
    }    
]    
SPARK_STEPS4 = [    
    {    
        'Name': 'PerformETL',    
        'ActionOnFailure': 'CONTINUE',    
        'HadoopJarStep': {    
            'Jar': 's3://mydata/jars/open-0.0.1-SNAPSHOT.jar',    
            #'MainClass': 'com.sadim.ExtractcustomerCategoryWiseSummarizedViews',    
            'Args': ['com.sadim.ExtractcustomerCategoryWiseSummarizedViews',    
                'spark-submit',    
                '--deploy-mode',    
                'client',    
                 '--master',    
                 'yarn',                    
                    '--mode',    
                'DeltaLoadByDays',    
                '--noOfDaysBehindTodayForDeltaLoad',    
                '1',    
                '--s3InputPath',    
                's3://data-lake/documents/accountscore/categoriseddata/',    
                '--s3OutputPathcustomerCategoryWiseSummarizedViews',    
                's3://test-data/spark_output//customerCategoryWiseSummarizedViews//test'],    
        },    
    }    
]    
SPARK_STEPS5 = [    
    {    
        'Name': 'PerformETL',    
        'ActionOnFailure': 'CONTINUE',    
        'HadoopJarStep': {    
            'Jar': 's3://mydata/jars/open-0.0.1-SNAPSHOT.jar',    
            #'MainClass': 'com.sadim.main',    
            'Args': ['com.sadim.ExtractcustomerCategoryWiseSummarizedViews',    
                    '--mode',    
                'DeltaLoadByDays',    
                '--noOfDaysBehindTodayForDeltaLoad',    
                '1',    
                '--s3InputPath',    
                's3://data-lake/documents/accountscore/categoriseddata/',    
                '--s3OutputPathcustomerCategoryWiseSummarizedViews',    
                's3://test-data/spark_output//customerCategoryWiseSummarizedViews//test'],    
        },    
    }    
]    
JOB_FLOW_OVERRIDES = {    
    'Name': 'ob_emr_airflow_automation',    
    'ReleaseLabel': 'emr-6.6.0',    
    'LogUri': 's3://test-data/emr_logs/',    
    'Instances': {    
        'InstanceGroups': [    
            {    
                'Name': 'Master node',    
                'Market': 'ON_DEMAND',    
                'InstanceRole': 'MASTER',    
                'InstanceType': 'm5.xlarge',    
                'InstanceCount': 1    
            },    
            {    
                    'Name': "Slave nodes",    
                    'Market': 'ON_DEMAND',
                    'InstanceRole': 'CORE',    
                    'InstanceType': 'm5.xlarge',    
                    'InstanceCount': 1    
            }    
        ],    
        'Ec2SubnetId': 'subnet-03129248888a14196',    
        'Ec2KeyName': 'datalake-emr-nodes',    
        'KeepJobFlowAliveWhenNoSteps': True,    
        'TerminationProtected': False    
    },    
    'BootstrapActions': [    
                {    
                        'Name': 'Java11InstallBootstrap',    
                        'ScriptBootstrapAction': {    
                            'Path': 's3://test-data/jars/bootstrap.sh',    
                            'Args': [    
                            ]    
                        }    
                }    
    ],    
    'Configurations': [    
        {    
            "Classification":"spark-defaults",    
                    "Properties":{    
                    "spark.driver.defaultJavaOptions":"-XX:OnOutOfMemoryError='kill -9 %p' -    XX:MaxHeapFreeRatio=70",    
                    "spark.executor.defaultJavaOptions":"-verbose:gc -Xlog:gc*::time -    XX:+PrintGCDetails -XX:+PrintGCDateStamps -XX:OnOutOfMemoryError='kill -9 %p' -XX:MaxHeapFreeRatio=70 -XX:+IgnoreUnrecognizedVMOptions"
                                }    
        }    
    ],    
    'JobFlowRole': 'DL_EMR_EC2_DefaultRole',    
    'ServiceRole': 'EMR_DefaultRole',    
}    

with DAG(    
    dag_id='emr_job_flow_manual_steps_dag_v6',    
    default_args={    
        'owner': 'airflow',    
        'depends_on_past': False,    
        'email': ['[email protected]'],    
        'email_on_failure': False,    
        'email_on_retry': False,    
    },    
    dagrun_timeout=timedelta(hours=1),    
    start_date=days_ago(1),
    schedule_interval='0 3 * * *',
    tags=['example'],
) as dag:

    # [START howto_operator_emr_manual_steps_tasks]
    cluster_creator = EmrCreateJobFlowOperator(
        task_id='create_job_flow',
        job_flow_overrides=JOB_FLOW_OVERRIDES,
        aws_conn_id='aws_default',
        emr_conn_id='emr_default',
    )

    delay_python_task: PythonOperator = PythonOperator(task_id="delay_python_task",
                                                   dag=dag,
                                                   python_callable=lambda: time.sleep(400))

    step_adder = EmrAddStepsOperator(
        task_id='add_steps',
        job_flow_id=cluster_creator.output,
        aws_conn_id='aws_default',
        steps=SPARK_STEPS5,
    )

    step_checker = EmrStepSensor(
        task_id='watch_step',
        job_flow_id=cluster_creator.output,
        step_id="{{ task_instance.xcom_pull(task_ids='add_steps', key='return_value')[0] }}",
       aws_conn_id='aws_default',
    )

    cluster_remover = EmrTerminateJobFlowOperator(
        task_id='remove_cluster',
        job_flow_id=cluster_creator.output,
        aws_conn_id='aws_default',
    )

    cluster_creator >> step_adder >> step_checker >> cluster_remover

    # [END howto_operator_emr_manual_steps_tasks]

    # Task dependencies created via `XComArgs`:
    #   cluster_creator >> step_checker
    #   cluster_creator >> cluster_remover
    

Answer 1

问题解决了。我们需要将命令运行罐作为emraddstepsoperator中的jar选项

SPARK_STEPS = [
    {
        'Name': 'DetectAndLoadOrphanTransactions',
        'ActionOnFailure': 'CONTINUE',
        'HadoopJarStep': {
            'Jar': 'command-runner.jar',
            #'MainClass': 'com.sadim.main',
            'Args': [ 
            'spark-submit',
            '--deploy-mode',
                'cluster',
                 '--master',
                 'yarn',
                 '--class',
                    'com.sadim.DetectAndLoadOrphanTransactions',
                 's3://nadeem-test-data/jars/open-0.0.1-SNAPSHOT_yarn_yarndep_maininpom.jar',
                '--Txnspath',
                's3://nadeem-test-data/spark_output//CategorizedTxnsDataset//2022_load_v2',
                '--demographyPath',
                's3://nadeem-test-data/spark_output//customerDemographics//2022_load_v2'
                '--outPath',
                's3://nadeem-test-data/spark_output//orphan_ihub_ids//2022_load_v2'],
        },
    }
]