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emr-serverless-customauth
Advanced tools
This package provides a custom implementation Jupyter Incubator Spark magic Kernel Custom Authenticator interface to enable integration from EMR-Serverless Application. The Custom Authenticator subclasses shipped in this package computes the AWS Signature Version 4 and appends HTTP Authentication headers to the request to the public livy endpoint exposed by EMR Serverless Application.
This package assumes that spark magic package is either already installed or will be installed by the consumer on the python environment to be used.
pip install emr-serverless-customauth
This will install the package along with its dependencies.
Please refer to the steps mentioned here on the spark magic github repository.
authenticators
map present in sparkmagic config.json
file.{
....
"authenticators": {
"Kerberos": "sparkmagic.auth.kerberos.Kerberos",
"None": "sparkmagic.auth.customauth.Authenticator",
"Basic_Access": "sparkmagic.auth.basic.Basic",
"EMRServerlessAuth": "emr_serverless_customauth.customauthenticator.EMRServerlessCustomSigV4Signer"
},
....
}
config.json
file to use the EMRServerlessAuth
.{
"kernel_python_credentials": {
"username": "",
"password": "",
"url": "https://<emr-serverless-app-id>.livy.emr-serverless-services.<aws-region>.amazonaws.com",
"auth": "EMRServerlessAuth"
},
"kernel_scala_credentials": {
"username": "",
"password": "",
"url": "https://<emr-serverless-app-id>.livy.emr-serverless-services.<aws-region>.amazonaws.com",
"auth": "EMRServerlessAuth"
}
.....
Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
FAQs
EMR Serverless Custom Authenticator for spark magic kernel.
We found that emr-serverless-customauth demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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