安装其它内核和库

在 Jupyter 内的主节点上安装库之后，可以通过不同的方式将库安装在运行的核心节点上。以下示例显示了编写为在本地计算机上运行的 Python 程序。当在本地运行 Python 程序时，此程序将使用 Amazon Systems Manager 的 AWS-RunShellScript 运行此节中之前所示的示例脚本，从而在集群的核心节点上安装库。

import argparse
import time
import boto3


def install_libraries_on_core_nodes(cluster_id, script_path, emr_client, ssm_client):
    """
    Copies and runs a shell script on the core nodes in the cluster.

    :param cluster_id: The ID of the cluster.
    :param script_path: The path to the script, typically an Amazon S3 object URL.
    :param emr_client: The Boto3 Amazon EMR client.
    :param ssm_client: The Boto3 AWS Systems Manager client.
    """
    core_nodes = emr_client.list_instances(
        ClusterId=cluster_id, InstanceGroupTypes=["CORE"]
    )["Instances"]
    core_instance_ids = [node["Ec2InstanceId"] for node in core_nodes]
    print(f"Found core instances: {core_instance_ids}.")

    commands = [
        # Copy the shell script from Amazon S3 to each node instance.
        f"aws s3 cp {script_path} /home/hadoop",
        # Run the shell script to install libraries on each node instance.
        "bash /home/hadoop/install_libraries.sh",
    ]
    for command in commands:
        print(f"Sending '{command}' to core instances...")
        command_id = ssm_client.send_command(
            InstanceIds=core_instance_ids,
            DocumentName="AWS-RunShellScript",
            Parameters={"commands": [command]},
            TimeoutSeconds=3600,
        )["Command"]["CommandId"]
        while True:
            # Verify the previous step succeeded before running the next step.
            cmd_result = ssm_client.list_commands(CommandId=command_id)["Commands"][0]
            if cmd_result["StatusDetails"] == "Success":
                print(f"Command succeeded.")
                break
            elif cmd_result["StatusDetails"] in ["Pending", "InProgress"]:
                print(f"Command status is {cmd_result['StatusDetails']}, waiting...")
                time.sleep(10)
            else:
                print(f"Command status is {cmd_result['StatusDetails']}, quitting.")
                raise RuntimeError(
                    f"Command {command} failed to run. "
                    f"Details: {cmd_result['StatusDetails']}"
                )


def main():
    parser = argparse.ArgumentParser()
    parser.add_argument("cluster_id", help="The ID of the cluster.")
    parser.add_argument("script_path", help="The path to the script in Amazon S3.")
    args = parser.parse_args()

    emr_client = boto3.client("emr")
    ssm_client = boto3.client("ssm")

    install_libraries_on_core_nodes(
        args.cluster_id, args.script_path, emr_client, ssm_client
    )


if __name__ == "__main__":
    main()