aiffort/amazon emr:专有网络/子网配置无效:需要子网:指定的示例类型m5.xlarge只能在专有网络中使用

92dk7w1h  于 2021-07-14  发布在  Spark
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我想创建一个通过亚马逊电子病历气流触发电子病历集群。emr集群出现在amazon emr的ui中,但出现一个错误:“专有网络/子网配置无效:需要子网:指定的示例类型m5.xlarge只能在专有网络中使用”
下面是中的代码段和配置详细信息 json 气流脚本中使用的此任务的格式。
我的问题是如何将专有网络和子网的信息(id码)合并到json中(如果可能的话)?没有明确的例子。
提示:已创建网络和ec2子网

JOB_FLOW_OVERRIDES = {
    "Name": "sentiment_analysis",
    "ReleaseLabel": "emr-5.33.0",
    "Applications": [{"Name": "Hadoop"}, {"Name": "Spark"}], # We want our EMR cluster to have HDFS and Spark
    "Configurations": [
        {
            "Classification": "spark-env",
            "Configurations": [
                {
                    "Classification": "export",
                    "Properties": {"PYSPARK_PYTHON": "/usr/bin/python3"}, # by default EMR uses py2, change it to py3
                }
            ],
        }
    ],
    "Instances": {
        "InstanceGroups": [
            {
                "Name": "Master node",
                "Market": "SPOT",
                "InstanceRole": "MASTER",
                "InstanceType": "m5.xlarge",
                "InstanceCount": 1,
            },
            {
                "Name": "Core - 2",
                "Market": "SPOT", # Spot instances are a "use as available" instances
                "InstanceRole": "CORE",
                "InstanceType": "m5.xlarge",
                "InstanceCount": 2,
            },
        ],
        "KeepJobFlowAliveWhenNoSteps": True,
        "TerminationProtected": False, # this lets us programmatically terminate the cluster
    },
    "JobFlowRole": "EMR_EC2_DefaultRole",
    "ServiceRole": "EMR_DefaultRole",
}
create_emr_cluster = EmrCreateJobFlowOperator(
    task_id="create_emr_cluster",
    job_flow_overrides=JOB_FLOW_OVERRIDES,
    aws_conn_id="aws_default",
    emr_conn_id="emr_default",
    dag=dag,
)

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