EMR Studio 中的 Notebook CLI 命令示例 - Amazon EMR
运行 NotebookNotebook 输出描述 Notebook停止运行 Notebook按开始时间列出执行情况按开启时间和状态列出的执行情况

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EMR Studio 中的 Notebook CLI 命令示例

本主题显示了 EMR Notebook 的 CLI 命令示例。该示例使用 EMR Notebooks 控制台中的演示 Notebook。要查找 Notebook，请使用相对于主目录的文件路径。在此示例中，您可以运行两个 Notebook 文件：demo_pyspark.ipynb 和 my_folder/python3.ipynb。

注意

EMR Notebooks 在控制台中作为 Amazon EMR Studio Workspaces 提供。通过控制台中的创建 Workspace 按钮，可以创建新的 Notebooks。要访问或创建 Workspaces，EMR Notebooks 用户需要额外的 IAM 角色权限。有关更多信息，请参阅 Amazon EMR Notebooks 是控制台中的 Amazon EMR Studio Workspaces 和 Amazon EMR 控制台。

文件 demo_pyspark.ipynb 的相对路径是 demo_pyspark.ipynb，如下所示。

Jupyter notebook interface showing a file explorer and code editor with PySpark content.

python3.ipynb 的相对路径是 my_folder/python3.ipynb，如下所示。

File explorer showing python3.ipynb in my_folder, and Jupyter notebook interface with code.

有关 Amazon EMR API NotebookExecution 操作的更多信息，请参阅 Amazon EMR API actions。

运行 Notebook

您可以使用 AWS CLI 来运行带有start-notebook-execution操作的笔记本，如以下示例所示。

例 — 使用亚马逊 EMR（在亚马逊上运行）集群在 EMR Studio 工作区中执行 EMR 笔记本 EC2
aws emr --region us-east-1 \
start-notebook-execution \
--editor-id e-ABCDEFG123456 \
--notebook-params '{"input_param":"my-value", "good_superhero":["superman", "batman"]}' \
--relative-path test.ipynb \
--notebook-execution-name my-execution \
--execution-engine '{"Id" : "j-1234ABCD123"}' \
--service-role EMR_Notebooks_DefaultRole 
 
{
    "NotebookExecutionId": "ex-ABCDEFGHIJ1234ABCD"
}
例 – 使用 EMR Notebooks 集群在 EMR Studio Workspace 中执行 EMR Notebook。
aws emr start-notebook-execution \
    --region us-east-1 \
    --service-role EMR_Notebooks_DefaultRole \
    --environment-variables '{"KERNEL_EXTRA_SPARK_OPTS": "--conf spark.executor.instances=1", "KERNEL_LAUNCH_TIMEOUT": "350"}' \
    --output-notebook-format HTML \
    --execution-engine Id=arn:aws:emr-containers:us-west-2:account-id:/virtualclusters/ABCDEFG/endpoints/ABCDEF,Type=EMR_ON_EKS,ExecutionRoleArn=arn:aws:iam::account-id:role/execution-role \
    --editor-id e-ABCDEFG \
    --relative-path EMRonEKS-spark_python.ipynb
例 – 执行 EMR Notebook 来指定其 Amazon S3 位置
aws emr start-notebook-execution \
    --region us-east-1 \
    --notebook-execution-name my-execution-on-emr-on-eks-cluster \
    --service-role EMR_Notebooks_DefaultRole \
    --environment-variables '{"KERNEL_EXTRA_SPARK_OPTS": "--conf spark.executor.instances=1", "KERNEL_LAUNCH_TIMEOUT": "350"}' \
    --output-notebook-format HTML \
    --execution-engine Id=arn:aws:emr-containers:us-west-2:account-id:/virtualclusters/ABCDEF/endpoints/ABCDEF,Type=EMR_ON_EKS,ExecutionRoleArn=arn:aws:iam::account-id:role/execution-role \
    --notebook-s3-location '{"Bucket": "amzn-s3-demo-bucket","Key": "s3-prefix-to-notebook-location/EMRonEKS-spark_python.ipynb"}' \
    --output-notebook-s3-location '{"Bucket": "amzn-s3-demo-bucket","Key": "s3-prefix-for-storing-output-notebook"}'

Notebook 输出

下面是示例 Notebook 的输出内容。单元格 3 显示新注入的参数值。

Jupyter notebook cells showing Python code and output for parameter injection and manipulation.

描述 Notebook

您可以使用 describe-notebook-execution 操作以访问关于特定 Notebook 执行的信息。

aws emr --region us-east-1 \
describe-notebook-execution --notebook-execution-id ex-IZWZZVR9DKQ9WQ7VZWXJZR29UGHTE
 
{
    "NotebookExecution": {
        "NotebookExecutionId": "ex-IZWZZVR9DKQ9WQ7VZWXJZR29UGHTE",
        "EditorId": "e-BKTM2DIHXBEDRU44ANWRKIU8N",
        "ExecutionEngine": {
            "Id": "j-2QMOV6JAX1TS2",
            "Type": "EMR",
            "MasterInstanceSecurityGroupId": "sg-05ce12e58cd4f715e"
        },
        "NotebookExecutionName": "my-execution",
        "NotebookParams": "{\"input_param\":\"my-value\", \"good_superhero\":[\"superman\", \"batman\"]}",
        "Status": "FINISHED",
        "StartTime": 1593490857.009,
        "Arn": "arn:aws:elasticmapreduce:us-east-1:123456789012:notebook-execution/ex-IZWZZVR9DKQ9WQ7VZWXJZR29UGHTE",
        "LastStateChangeReason": "Execution is finished for cluster j-2QMOV6JAX1TS2.",
        "NotebookInstanceSecurityGroupId": "sg-0683b0a39966d4a6a",
        "Tags": []
    }
}

停止运行 Notebook

如果您想要停止 Notebook 正在运行的执行，您可以借助 stop-notebook-execution 命令。

# stop a running execution
aws emr --region us-east-1 \
stop-notebook-execution --notebook-execution-id ex-IZWZX78UVPAATC8LHJR129B1RBN4T
 
 
# describe it
aws emr --region us-east-1 \
describe-notebook-execution --notebook-execution-id ex-IZWZX78UVPAATC8LHJR129B1RBN4T
 
{
    "NotebookExecution": {
        "NotebookExecutionId": "ex-IZWZX78UVPAATC8LHJR129B1RBN4T",
        "EditorId": "e-BKTM2DIHXBEDRU44ANWRKIU8N",
        "ExecutionEngine": {
            "Id": "j-2QMOV6JAX1TS2",
            "Type": "EMR"
        },
        "NotebookExecutionName": "my-execution",
        "NotebookParams": "{\"input_param\":\"my-value\", \"good_superhero\":[\"superman\", \"batman\"]}",
        "Status": "STOPPED",
        "StartTime": 1593490876.241,
        "Arn": "arn:aws:elasticmapreduce:us-east-1:123456789012:editor-execution/ex-IZWZX78UVPAATC8LHJR129B1RBN4T",
        "LastStateChangeReason": "Execution is stopped for cluster j-2QMOV6JAX1TS2. Internal error",
        "Tags": []
    }
}

按开启时间列出 Notebook 的执行情况

您可以将 --from 参数输入至 list-notebook-executions，按开启时间列出 Notebook 的执行情况。

# filter by start time 
aws emr --region us-east-1 \ 
list-notebook-executions --from 1593400000.000
 
{
    "NotebookExecutions": [
        {
            "NotebookExecutionId": "ex-IZWZX78UVPAATC8LHJR129B1RBN4T",
            "EditorId": "e-BKTM2DIHXBEDRU44ANWRKIU8N",
            "NotebookExecutionName": "my-execution",
            "Status": "STOPPED",
            "StartTime": 1593490876.241
        },
        {
            "NotebookExecutionId": "ex-IZWZZVR9DKQ9WQ7VZWXJZR29UGHTE",
            "EditorId": "e-BKTM2DIHXBEDRU44ANWRKIU8N",
            "NotebookExecutionName": "my-execution",
            "Status": "RUNNING",
            "StartTime": 1593490857.009
        },
        {
            "NotebookExecutionId": "ex-IZWZYRS0M14L5V95WZ9OQ399SKMNW",
            "EditorId": "e-BKTM2DIHXBEDRU44ANWRKIU8N",
            "NotebookExecutionName": "my-execution",
            "Status": "STOPPED",
            "StartTime": 1593490292.995
        },
        {
            "NotebookExecutionId": "ex-IZX009ZK83IVY5E33VH8MDMELVK8K",
            "EditorId": "e-BKTM2DIHXBEDRU44ANWRKIU8N",
            "NotebookExecutionName": "my-execution",
            "Status": "FINISHED",
            "StartTime": 1593489834.765
        },
        {
            "NotebookExecutionId": "ex-IZWZXOZF88JWDF9J09GJ91R57VI0N",
            "EditorId": "e-BKTM2DIHXBEDRU44ANWRKIU8N",
            "NotebookExecutionName": "my-execution",
            "Status": "FAILED",
            "StartTime": 1593488934.688
        }
    ]
}

按开启时间和状态列出 Notebook 的执行情况

list-notebook-executions 命令也可以采用 --status 参数来筛选结果。

# filter by start time and status 
aws emr --region us-east-1 \                 
list-notebook-executions --from 1593400000.000 --status FINISHED
{
    "NotebookExecutions": [
        {
            "NotebookExecutionId": "ex-IZWZZVR9DKQ9WQ7VZWXJZR29UGHTE",
            "EditorId": "e-BKTM2DIHXBEDRU44ANWRKIU8N",
            "NotebookExecutionName": "my-execution",
            "Status": "FINISHED",
            "StartTime": 1593490857.009
        },
        {
            "NotebookExecutionId": "ex-IZX009ZK83IVY5E33VH8MDMELVK8K",
            "EditorId": "e-BKTM2DIHXBEDRU44ANWRKIU8N",
            "NotebookExecutionName": "my-execution",
            "Status": "FINISHED",
            "StartTime": 1593489834.765
        }
    ]
}