EMR Serverless

learn EMR Serverless

provides a serverless runtime environment that simplifies the operation of analytics applications that use the latest open source frameworks, such as Apache Spark and Apache Hive. With EMR Serverless, you don’t have to configure, optimize, secure, or operate clusters to run applications with these frameworks.

general flow

create application
start application
- your application is setup to start with pre-initialized capacity of 1 Spark driver and 1 Spark executor. Your application is by default configured to start when jobs are submitted and stop when the application is idle for more than 15 minutes.
submit application jobs. e.g. spark or hive

Demo

# deploy template.yaml
sam deploy --guided

aws emr-serverless get-application \
    --application-id 00f1du6284vksm09
{
    "application": {
        "applicationId": "00f1du6284vksm09",
        "name": "spark-3.2",
        "arn": "arn:aws:emr-serverless:us-east-1:123456789012:/applications/00f1du6284vksm09",
        "releaseLabel": "emr-6.6.0",
        "type": "Spark",
        "state": "CREATED",
        "stateDetails": "",
        "createdAt": "2022-06-02T20:09:49.041000+00:00",
        "updatedAt": "2022-06-02T20:09:49.667000+00:00",
        "tags": {
            "tag-on-create-key": "tag-on-create-value"
        },
        "autoStartConfiguration": {
            "enabled": true
        },
        "autoStopConfiguration": {
            "enabled": true,
            "idleTimeoutMinutes": 15
        }
    }
}

aws s3 cp s3://us-east-1.elasticmapreduce/emr-containers/samples/wordcount/scripts/wordcount.py s3://emr-serverless-playground-scriptbucket-1fl6snd6viqk6/scripts/

APPLICATION_ID="00f1du6284vksm09"
EXECUTION_ROLE_ARN="arn:aws:iam::123456789012:role/EMRServerless_Job_Execution_Role"
BUCKET_NAME="emr-serverless-playground-scriptbucket-1fl6snd6viqk6"
aws emr-serverless start-job-run \
    --application-id $APPLICATION_ID \
    --execution-role-arn $EXECUTION_ROLE_ARN \
    --job-driver '{
        "sparkSubmit": {
          "entryPoint": "s3://emr-serverless-playground-scriptbucket-1fl6snd6viqk6/scripts/wordcount.py",
          "entryPointArguments": ["s3://emr-serverless-playground-scriptbucket-1fl6snd6viqk6/emr-serverless-spark/output"],
          "sparkSubmitParameters": "--conf spark.executor.cores=1 --conf spark.executor.memory=4g --conf spark.driver.cores=1 --conf spark.driver.memory=4g --conf spark.executor.instances=1"
        }
    }'
# output
{
    "applicationId": "00f1du6284vksm09",
    "jobRunId": "00f1e0i4fr44ra01",
    "arn": "arn:aws:emr-serverless:us-east-1:123456789012:/applications/00f1du6284vksm09/jobruns/00f1e0i4fr44ra01"
}

JOB_RUN_ID="00f1e0i4fr44ra01"
aws emr-serverless get-job-run \
    --application-id $APPLICATION_ID \
    --job-run-id $JOB_RUN_ID

# output
{
    "jobRun": {
        "applicationId": "00f1du6284vksm09",
        "jobRunId": "00f1e0i4fr44ra01",
        "arn": "arn:aws:emr-serverless:us-east-1:123456789012:/applications/00f1du6284vksm09/jobruns/00f1e0i4fr44ra01",
        "createdBy": "arn:aws:sts::123456789012:assumed-role/AWSReservedSSO_AWSAdministratorAccess_af1bdd24238208b5/pfeilbr",
        "createdAt": "2022-06-02T22:22:36.221000+00:00",
        "updatedAt": "2022-06-02T22:28:06.614000+00:00",
        "executionRole": "arn:aws:iam::123456789012:role/EMRServerless_Job_Execution_Role",
        "state": "SUCCESS",
        "stateDetails": "",
        "releaseLabel": "emr-6.6.0",
        "jobDriver": {
            "sparkSubmit": {
                "entryPoint": "s3://emr-serverless-playground-scriptbucket-1fl6snd6viqk6/scripts/wordcount.py",
                "entryPointArguments": [
                    "s3://emr-serverless-playground-scriptbucket-1fl6snd6viqk6/emr-serverless-spark/output"
                ],
                "sparkSubmitParameters": "--conf spark.executor.cores=1 --conf spark.executor.memory=4g --conf spark.driver.cores=1 --conf spark.driver.memory=4g --conf spark.executor.instances=1"
            }
        },
        "tags": {},
        "totalResourceUtilization": {
            "vCPUHour": 0.066,
            "memoryGBHour": 0.331,
            "storageGBHour": 1.322
        }
    }
}

JOB_RUN_LOGS="s3://$BUCKET_NAME/emr-serverless-spark/logs/applications/$APPLICATION_ID/jobs/$JOB_RUN_ID"

Notes

unlike EMR the EC2 instances backing EMR-Serverless applications/jobs are not visible to the customer / fully managed (e.g. not visible in the customer EC2 console)
Type - Spark or HIVE
ReleaseLabel - EMR release version associated with the application. see Release versions
EMR Serverless is a Regional service
Job run states
Spark examples
Hive job examples
Using Python libraries with EMR Serverless
Submitting jobs from Airflow

Resource Types

application - arn:${Partition}:emr-serverless:${Region}:${Account}:/applications/${ApplicationId}
jobRun arn:${Partition}:emr-serverless:${Region}:${Account}:/applications/${ApplicationId}/jobruns/${JobRunId}

AWS CLI Support

# create application
aws emr-serverless create-application \
  --type HIVE \
  --name serverless-demo \
  --release-label "emr-6.6.0" \
  --initial-capacity '{
        "DRIVER": {
            "workerCount": 1,
            "resourceConfiguration": {
                "cpu": "2vCPU",
                "memory": "4GB",
                "disk": "30gb"
            }
        },
        "TEZ_TASK": {
            "workerCount": 10,
            "resourceConfiguration": {
                "cpu": "4vCPU",
                "memory": "8GB",
                "disk": "30gb"
            }
        }
    }' \
    --maximum-capacity '{
        "cpu": "400vCPU",
        "memory": "1024GB",
        "disk": "1000GB"
    }'

# start application
# your application is setup to start with pre-initialized capacity of 1 Spark driver and 1 Spark executor. Your application is by default configured to start when jobs are submitted and stop when the application is idle for more than 15 minutes.
aws emr-serverless start-application \
    --application-id $APPLICATION_ID

# submit hive job
aws emr-serverless start-job-run \
    --application-id $APPLICATION_ID \
    --execution-role-arn $JOB_ROLE_ARN \
    --job-driver '{
        "hive": {
            "initQueryFile": "s3://'${S3_BUCKET}'/code/hive/create_table.sql",
            "query": "s3://'${S3_BUCKET}'/code/hive/extreme_weather.sql",
            "parameters": "--hiveconf hive.exec.scratchdir=s3://'${S3_BUCKET}'/hive/scratch --hiveconf hive.metastore.warehouse.dir=s3://'${S3_BUCKET}'/hive/warehouse"
        }
    }' \
    --configuration-overrides '{
        "applicationConfiguration": [
            {
                "classification": "hive-site",
                "properties": {
                    "hive.driver.cores": "2",
                    "hive.driver.memory": "4g",
                    "hive.tez.container.size": "8192",
                    "hive.tez.cpu.vcores": "4"
                }
            }
        ],
        "monitoringConfiguration": {
            "s3MonitoringConfiguration": {
                "logUri": "s3://'${S3_BUCKET}'/hive-logs/"
            }
        }
    }'

CloudFormation Support

AWS::EMRServerless::Application

example AWS::EMRServerless::Application usage in cfn

general flow

Demo

Notes

Resource Types

AWS CLI Support

CloudFormation Support

AWS Console Screenshots

Resources

Keep learning

general flow

Demo

Notes

Resource Types

AWS CLI Support

CloudFormation Support

AWS Console Screenshots

Resources

Keep learning

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