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Tuesday, December 5, 2023

Introducing enhanced assist for tagging, cross-account entry, and community safety in AWS Glue interactive classes

AWS Glue interactive classes help you run interactive AWS Glue workloads on demand, which allows fast growth by issuing blocks of code on a cluster and getting immediate outcomes. This know-how is enabled by means of pocket book IDEs, such because the AWS Glue Studio pocket book, Amazon SageMaker Studio, or your individual Jupyter notebooks.

On this submit, we focus on the next new administration options not too long ago added and the way can they offer you extra management over the configurations and safety of your AWS Glue interactive classes:

  • Tags magic – You should utilize this new cell magic to tag the session for administration or billing functions. For instance, you may tag every session with the identify of the billable division and later run a search to search out all spending related to this division on the AWS Billing console.
  • Assume function magic – Now you may create a session in an account completely different than the one you’re related with by assuming an AWS Identification and Entry Administration (IAM) function owned by the opposite account. You’ll be able to designate a devoted function with permissions to create classes and produce other customers assume it after they use classes.
  • IAM VPC guidelines – You’ll be able to require your customers to make use of (or prohibit them from utilizing) sure VPCs or subnets for the classes, to conform together with your company insurance policies and have management over how your knowledge travels within the community. This characteristic existed for AWS Glue jobs and is now accessible for interactive classes.

Resolution overview

For our use case, we’re constructing a extremely secured app and need to have customers (builders, analysts, knowledge scientists) working AWS Glue interactive classes on particular VPCs to regulate how the info travels by the community.

As well as, customers usually are not allowed to log in on to the manufacturing account, which has the info and the connections they want; as a substitute, customers will run their very own notebooks through their particular person accounts and get permission to imagine a particular function enabled on the manufacturing account to run their classes. Customers can run AWS Glue interactive classes by utilizing each AWS Glue Studio notebooks through the AWS Glue console, in addition to Jupyter notebooks that run on their native machine.

Lastly, all new assets be tagged with the identify of the division for correct billing allocation and price management.

The next structure diagram highlights the completely different roles and accounts concerned:

  • Account A – The person consumer account. The consumer ISBlogUser has permissions to create AWS Glue pocket book servers through the AWSGlueServiceRole-notebooks function and assume a job in account B (immediately or not directly).
  • Account B – The manufacturing account that owns the GlueSessionsCreationRole function, which customers assume to create AWS Glue interactive classes on this account.



On this part, we stroll by the steps to arrange the prerequisite assets and safety configurations.

Set up AWS CLI and Python library

Set up and configure the AWS Command Line Interface (AWS CLI) should you don’t have it already arrange. For directions, consult with Set up or replace the newest model of the AWS CLI.

Optionally, if you wish to use run an area pocket book out of your laptop, set up Python 3.7 or later after which set up Jupyter and the AWS Glue interactive classes kernels. For directions, consult with Getting began with AWS Glue interactive classes. You’ll be able to then run Jupyter immediately from the command line utilizing jupyter pocket book, or through an IDE like VSCode or PyCharm.

Get entry to 2 AWS accounts

When you have entry to 2 accounts, you may reproduce the use case described on this submit. The directions consult with account A because the consumer account that runs the pocket book and account B because the account that runs the classes (the manufacturing account within the use case). This submit assumes you have got sufficient administration permissions to create the completely different elements and handle the account safety roles.

When you have entry to just one account, you may nonetheless comply with this submit and carry out all of the steps on that single account.

Create a VPC and subnet

We need to restrict customers to make use of AWS Glue interactive session solely through a particular VPC community. First, let’s create a brand new VPC in account B utilizing Amazon Digital Personal Cloud (Amazon VPC). We use this VPC connection later to implement the community restrictions.

  1. Register to the AWS Administration Console with account B.
  2. On the Amazon VPC console, select Your VPCs within the navigation pane.
  3. Select Create VPC.
  4. Enter because the IP CIDR.
  5. Depart the remaining parameters as default and create your VPC.
  6. Make an observation of the VPC ID (beginning with vpc-) to make use of later.

For extra details about creating VPCs, consult with Create a VPC.

  1. Within the navigation pane, select Subnets.
  2. Select Create subnet.
  3. Choose the VPC you created, enter the identical CIDR (, and create your subnet.
  4. Within the navigation pane, select Endpoints.
  5. Select Create endpoint.
  6. For Service class, choose AWS providers.
  7. Seek for the choice that ends in s3, equivalent to com.amazonaws.{area}.s3.
  8. Within the search outcomes, choose the Gateway kind possibility.

add gateway endpoint

  1. Select your VPC on the drop-down menu.
  2. For Route tables, choose the subnet you created.
  3. Full the endpoint creation.

Create an AWS Glue community connection

You now have to create an AWS Glue connection that makes use of the VPC, so classes created with it might probably meet the VPC requirement.

  1. Register to the console with account B.
  2. On the AWS Glue console, select Information connections within the navigation pane.
  3. Select Create connection.
  4. For Identify, enter session_vpc.
  5. For Connection kind, select Community.
  6. Within the Community choices part, select the VPC you created, a subnet, and a safety group.
  7. Select Create connection.

create connection

Account A safety setup

Account A is the event account on your customers (builders, analysts, knowledge scientists, and so forth). They’re supplied IAM customers to entry this account programmatically or through the console.

Create the assume function coverage

The assume function coverage permits customers and roles in account A to imagine roles in account B (the function in account B additionally has to permit it). Full the next steps to create the coverage:

  1. On the IAM console, select Insurance policies within the navigation pane.
  2. Select Create coverage.
  3. Swap to the JSON tab within the coverage editor and enter the next coverage (present the account B quantity):{
    "Model": "2012-10-17",
    "Assertion": [
            "Effect": "Allow",
            "Action": "sts:AssumeRole",
            "Resource": "arn:aws:iam::{account B number}:role/*"

  1. Identify the function AssumeRoleAccountBPolicy and full the creation.

Create an IAM consumer

Now you create an IAM consumer for account A that you need to use to run AWS Glue interactive classes regionally or on the console.

  1. On the IAM console, select Customers within the navigation pane.
  2. Select Create consumer.
  3. Identify the consumer ISBlogUser.
  4. Choose Present consumer entry to the AWS Administration Console.
  5. Choose I need to create an IAM consumer and select a password.
  6. Connect the insurance policies AWSGlueConsoleFullAccess and AssumeRoleAccountBPolicy.
  7. Evaluation the settings and full the consumer creation.

Create an AWS Glue Studio pocket book function

To begin an AWS Glue Studio pocket book, a job is required. Normally, the identical function is used each to start out a pocket book and run a session. On this use case, customers of account A solely want permissions to run a pocket book, as a result of they are going to create classes through the assumed function in account B.

  1. On the IAM console, select Roles within the navigation pane.
  2. Select Create function.
  3. Choose Glue because the use case.
  4. Connect the insurance policies AWSGlueServiceNotebookRole and AssumeRoleAccountBPolicy.
  5. Identify the function AWSGlueServiceRole-notebooks (as a result of the identify begins with AWSGlueServiceRole, the consumer doesn’t want specific PassRole permission), then full the creation.

Optionally, you may enable Amazon CodeWhisperer to offer code recommendations on the pocket book by including the permission to the function. To take action, navigate to the function AWSGlueServiceRole-notebooks on the IAM console. On the Add permissions menu, select Create inline coverage. Use the next JSON coverage and identify it CodeWhispererPolicy:

    "Model": "2012-10-17",
    "Assertion": [
            "Effect": "Allow",
            "Action": "codewhisperer:GenerateRecommendations",
            "Resource": "*"

Account B safety setup

Account B is taken into account the manufacturing account that accommodates the info and connections, and runs the AWS Glue knowledge integration pipelines (utilizing both AWS Glue classes or jobs). Customers don’t have direct entry to it; they use it assuming the function created for this goal.

To comply with this submit, you want two roles: one the AWS Glue service will assume to run and one other that creates classes, implementing the VPC restriction.

Create an AWS Glue service function

To create an AWS Glue service function, full the next steps:

  1. On the IAM console, select Roles within the navigation pane.
  2. Select Create function.
  3. Select Glue for the use case.
  4. Connect the coverage AWSGlueServiceRole.
  5. Identify the function AWSGlueServiceRole-blog and full the creation.

Create an AWS Glue interactive session function

This function shall be used to create classes following the VPC necessities. Full the next steps to create the function:

  1. On the IAM console, select Insurance policies within the navigation pane.
  2. Select Create coverage.
  3. Swap to the JSON tab within the coverage editor and enter the next code (present your VPC ID). You may also exchange the * within the coverage with the total ARN of the function AWSGlueServiceRole-blog you simply created, to drive the pocket book to solely use that function when creating classes.
    "Model": "2012-10-17",
    "Assertion": [
            "Effect": "Deny",
            "Action": [
            "Useful resource": [
            "Situation": {
                "ForAnyValue:StringNotEquals": {
                    "glue:VpcIds": [
                        "{enter your vpc id here}"
            "Impact": "Deny",
            "Motion": [
            "Useful resource": [
            "Situation": {
                "Null": {
                    "glue:VpcIds": true
            "Impact": "Enable",
            "Motion": [
            "Useful resource": [
            "Impact": "Enable",
            "Motion": "iam:PassRole",
            "Useful resource": "*"

This coverage enhances the AWSGlueServiceRole you connected earlier than and restricts the session creation based mostly on the VPC. You might additionally prohibit the subnet and safety group in an analogous means utilizing circumstances for the assets glue:SubnetIds and glue:SecurityGroupIds respectively.

On this case, the classes creation requires a VPC, which needs to be within the listing of IDs listed. If it’s good to simply require any legitimate VPC for use, you may take away the primary assertion and go away the one which denies the creation when the VPC is null.

  1. Identify the coverage CustomCreateSessionPolicy and full the creation.
  2. Select Roles within the navigation pane.
  3. Select Create function.
  4. Choose Customized belief coverage.
  5. Substitute the belief coverage template with the next code (present your account A quantity):
    "Model": "2012-10-17",
    "Assertion": [
            "Effect": "Allow",
            "Principal": {
                "AWS": [
                      "arn:aws:iam::{account A}:role/AWSGlueServiceRole-notebooks", 
                      "arn:aws:iam::{account A}:user/ISBlogUser"
            "Motion": "sts:AssumeRole"

This permits the function to be assumed immediately by the consumer when utilizing an area pocket book and in addition when utilizing an AWS Glue Studio pocket book with a job.

  1. Connect the insurance policies AWSGlueServiceRole and CustomCreateSessionPolicy (which you created on the earlier step, so that you would possibly have to refresh for them to be listed).
  2. Identify the function GlueSessionCreationRole and full the function creation.

Create the Glue interactive session within the VPC, with assumed function and tags

Now that you’ve the accounts, roles, VPC, and connection prepared, you utilize them to fulfill the necessities. You begin a brand new pocket book utilizing account A, which assumes the function of account B to create a session within the VPC, and tag it with the division and billing space.

Begin a brand new pocket book

Utilizing account A, begin a brand new pocket book. It’s possible you’ll use both of the next choices.

Choice 1: Create an AWS Glue Studio pocket book

The primary possibility is to create an AWS Glue Studio pocket book:

  1. Register to the console with account A and the ISBlogUser consumer.
  2. On the AWS Glue console, select Notebooks within the navigation pane beneath ETL jobs.
  3. Choose Jupyter Pocket book and select Create.
  4. Enter a reputation on your pocket book.
  5. Specify the function AWSGlueServiceRole-notebooks.
  6. Select Begin pocket book.

Choice 2: Create an area pocket book

Alternatively, you may create an area pocket book. Earlier than you begin the method that runs Jupyter (or should you run it not directly, then the IDE that runs it), it’s good to set the IAM ID and key for the consumer ISBlogUser, both utilizing aws configure on the command line or setting the values as surroundings variables AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY for the consumer ID and secret key, respectively. Then create a brand new Jupyter pocket book and choose the kernel Glue PySpark.

Begin a session from the pocket book

After you begin the pocket book, choose the primary cell and add 4 new empty code cells. If you’re utilizing an AWS Glue Studio pocket book, the pocket book already accommodates some prepopulated cells as examples; we don’t use these pattern cells on this submit.

  1. Within the first cell, enter the next magic configuration with the session creation function ARN, utilizing the ID of account B:
# Configure the function we assume for creating the classes
# Tip: assume_role is a cell magic (that means it wants its personal cell)
"arn:aws:iam::{account B}:function/GlueSessionCreationRole"

  1. Run the cell to arrange that configuration, both by selecting the button on the toolbar or urgent Shift + Enter.

It ought to verify the function was assumed appropriately. Now when the session is launched, it is going to be finished by this function. This allowed you to make use of a job from a special account to run a session on that account.

  1. Within the second cell, enter pattern tags like the next and run the cell in the identical means:
# Set a tag to affiliate the session with billable division
# Tip: tags is a cell magic (that means it wants its personal cell)
{'group':'analytics', 'billing':'Information-Platform'}

  1. Within the third cell, enter the next pattern configuration (present the function ARN with account B) and run the cell to arrange the configuration:
# Set the configuration of your classes utilizing magics 
# Tip: non-cell magics can share the identical cell 
%idle_timeout 2880
%glue_version 4.0
%worker_type G.1X
%number_of_workers 5
%iam_role arn:aws:iam::{account B}:function/AWSGlueServiceRole-blog

Now the session is configured however hasn’t began but since you didn’t run any Python code.

  1. Within the fourth empty cell, enter the next code to arrange the objects required to work with AWS Glue and run the cell:
import sys
from awsglue.transforms import *
from awsglue.utils import getResolvedOptions
from pyspark.context import SparkContext
from awsglue.context import GlueContext
from awsglue.job import Job

sc = SparkContext.getOrCreate()
glueContext = GlueContext(sc)
spark = glueContext.spark_session
job = Job(glueContext)

It ought to fail with a permission error saying that there’s an specific deny coverage activated. That is the VPC situation you set earlier than. By default, the session doesn’t use a VPC, so because of this it’s failing.

notebook error

You’ll be able to remedy the error by assigning the connection you created earlier than, so the session runs contained in the VPC licensed.

  1. Within the third cell, add the %connections magic with the worth session_vpc.

The session must run in the identical Area through which the connection is outlined. If that’s not the identical because the pocket book Area, you may explicitly configure the session Area utilizing the %area magic.

notebook cells

  1. After you have got added the brand new config settings, run the cell once more so the magics take impact.
  2. Run the fourth cell once more (the one with the code).

This time, it ought to begin the session and after a quick interval verify it has been created appropriately.

  1. Add a brand new cell with the next content material and run it: %standing

This may show the configuration and different details about the session that the pocket book is utilizing, together with the tags set earlier than.

status result

You began a pocket book in account A and used a job from account B to create a session, which makes use of the community connection so it runs within the required VPC. You additionally tagged the session to have the ability to simply establish it later.

Within the subsequent part, we focus on extra methods to watch classes utilizing tags.

Interactive session tags

Earlier than tags had been supported, should you needed to establish the aim of classes working the account, you had to make use of the magic %session_id_prefix to call your session with one thing significant.

Now, with the brand new tags magic, you need to use extra subtle methods to categorize your classes.

Within the earlier part, you tagged the session with a group and billing division. Let’s think about now you might be an administrator checking the classes that completely different groups run in an account and Area.

Discover tags through the AWS CLI

On the command line the place you have got the AWS CLI put in, run the next command to listing the classes working within the account and Areas configured (use the Area and max outcomes parameters if wanted):

You even have the choice to only listing classes which have a particular tag:

aws glue list-sessions --tags group=analytics

You may also listing all of the tags related to a particular session with the next command. Present the Area, account, and session ID (you may get it from the list-sessions command):

aws glue get-tags --resource-arn arn:aws:glue:{area}:{account}:session/{session Id}

Discover tags through the AWS Billing console

You may also use tags to maintain monitor of value and do extra correct value project in your organization. After you have got used a tag in your session, the tag will grow to be accessible for billing functions (it might probably take as much as 24 hours to be detected).

  1. On the AWS Billing console, select Value allocation tags beneath Billing within the navigation pane.
  2. Seek for and choose the tags you used within the session: “group” and “billing”.
  3. Select Activate.

This activation can take as much as 24 hours extra hours till the tag is utilized for billing functions. You solely have to do that one time whenever you begin utilizing a brand new tag on an account.

cost allocation tags

  1. After the tags have been appropriately activated and utilized, select Value explorer beneath Value Administration within the navigation pane.
  2. Within the Report parameters pane, for Tag, select one of many tags you activated.

This provides a drop-down menu for this tag, the place you may select some or all the tag values to make use of.

  1. Make your choice and select Apply to make use of the filter on the report.

bill barchart

Clear up

Run the %stop_session magic in a cell to cease the session and keep away from additional prices. Should you not want the pocket book, VPC, or roles you created, you may delete them as nicely.


On this submit, we confirmed the right way to use these new options in AWS Glue to have extra management over your interactive classes for administration and safety. You’ll be able to implement community restrictions, enable customers from different accounts to make use of your session, and use tags that can assist you hold monitor of the session utilization and price reviews. These new options are already accessible, so you can begin utilizing them now.

In regards to the authors

Gonzalo Herreros
Gonzalo Herreros is a Senior Massive Information Architect on the AWS Glue group.
Gal Heyne
Gal Heyne is a Technical Product Supervisor on the AWS Glue group.

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