Examine the table metadata and schemas that result from the crawl. Dec 21, 2023 · You can now use data stored in OpenSearch Service indexes as a source or target within the AWS Glue Studio no-code, drag-and-drop visual interface or directly in an AWS Glue ETL job script. 9. In the location, you should specify the path of the output files. First, implement and test the AWS Glue job and its job script in your local environment using Visual Studio Code. Using CodeWhisperer improves the authoring experience within AWS Glue Studio notebooks. Overview of AWS Glue Studio which is part of the AWS Glue Service. Oct 4, 2022 · a) When I run the notebook in the Glue Studio Editor, I get: GlueArgumentError: the following arguments are required: --JOB_NAME. I guess the issue Dec 28, 2022 · Go to the AWS Glue, and in the left menu, select Jobs under AWS Glue Studio. From the search box, search for AWS. AWS Glue Studio creates a functional and complete job script, and saves it in an Amazon S3 location. 0 using Docker and the Visual Studio Code Remote – Containers extension. In this tutorial, you read and write each of the transaction data lake format data on the AWS Glue Studio Visual Editor. Apr 10, 2023 · 1. Select Visual job with blank canvas and choose Create. AWS Glue Studio provides a set of built-in transforms that you can use to process your data. When you automatically generate the source code logic for your job in AWS Glue Studio, a script is created. Validate and troubleshoot custom visual transforms in AWS Glue Studio; Step 4. Indicates whether the job is run with a standard or flexible execution class. Custom visual transforms let customers define, reuse, and share business-specific ETL logic among their teams. For more information, see AWS Glue job parameters. Edit AWS Glue jobs in AWS Glue Studio whether you use visual jobs or script jobs and sync them to a repository. I have VSCode ( updated to v1. If you prefer coding, AWS Glue allows you to write Python/Scala source code with the AWS Glue ETL library. ExecutionClass – UTF-8 string, not more than 16 bytes long (valid values: FLEX="" | STANDARD=""). AWS Glue runs a script when it starts a job. This job is getting data from a JDBC data source (Clickhouse Database) using a query. While all job types can be written in Python, AWS Glue for Spark jobs can be written in Scala as well. With this new feature ETL developers can prepare data for analysis Jika Anda tidak melihat AWS Glue PySparkdan AWS GlueSpark kernel dalam daftar drop-down, pastikan Anda telah menginstal AWS Glue kernel pada langkah di atas, atau bahwa python. Guides you to create an AWS Glue job that identifies sensitive data at the row level, and create a custom identification pattern to identify case-specific entities. Previously, you needed to download and modify scripts themselves if you needed to customize the code. Use custom visual transforms in AWS Glue Studio; Usage examples; Examples of custom visual scripts The representation of a directed acyclic graph on which both the Glue Studio visual component and Glue Studio code generation is based. If you've previously set up an AWS account and authentication through another AWS service (such as the AWS Command Line Interface), then the AWS Toolkit for Visual Studio Code automatically detects your Oct 14, 2022 · Complete the following steps: On the AWS Glue console, choose Jobs in the navigation pane. Data engineers and ETL developers can visually create, run, and monitor ETL workflows with a few clicks in AWS Glue Studio. 7. I hope this post is useful to develop and test Glue ETL scripts locally. %list_sessions. Preparing your data to obtain quality results is the first step in an analytics or ML project. defaultInterpreterPath pengaturan Anda di Visual Studio Code sudah benar. The over 200 transformations it provides are now available to be used in an AWS Glue Studio visual job. Workgroup. With this launch you will be able to attach data preview with each source and transform node of your AWS Glue Studio Visual ETL authoring interface. AWS Glue provides an API that allows customers to create data integration jobs using the AWS Glue API from a JSON object that represents a visual step workflow. I have a Window 10 VDI and have set-up AWS Glue Interactive session using this link. You can visually compose data transformation workflows and seamlessly run them on Amazon Glue's Apache Spark-based serverless ETL engine. Hello everyone, in this video we'll walk through on how to create a docker container to run glue 3. AWS Glue provides different authoring Nov 10, 2023 · Glue Studio Visual now supports interactive data previews. AWS Glue Studio allows you to interactively author jobs in a notebook interface based on Jupyter Notebooks. Oct 27, 2023 · AWS Glue provides both visual and code-based interfaces to make data integration easier. Learn more AWS Glue Studio Guide de l'utilisateur Qu'est-ce que AWS Glue Studio ? Use an AWS Glue crawler to classify objects that are stored in a public Amazon S3 bucket and save their schemas into the AWS Glue Data Catalog. AWS Glue allows you to create a job through a visual interface, an interactive code notebook, or with a script editor. Data engineers and ETL (extract, transform, and load) developers can visually create, run, and monitor ETL workflows in a few steps in AWS Glue Studio . Customers can then use the visual editor in AWS Glue Studio to work with these jobs. Step 4: Under the S3 bucket node, select the option Data catalog, select the table 'raw'. Write an AWS Glue extract, transform, and load (ETL) script through this tutorial to understand how to use scripts when you're building AWS Glue jobs. AWS Glue stores your connection url and credentials in the MongoDB connection. To reuse this transform in a Python script code, add the Amazon S3 path to the . For Glue 1. This feature is not compatible with OpenSearch Nov 17, 2023 · Users can add these databases as a source or target within AWS Glue Studio's no-code, drag-and-drop visual interface or use the connector directly in an AWS Glue ETL script job. AWS Glue makes it easy to write or autogenerate extract, transform, and load (ETL) scripts, in addition to testing and running them. Implement and test in your local environment. Parameterize sources and targets in jobs. Jul 25, 2022 · Reads/writes using the connector on AWS Glue Studio Visual Editor. Performing complex ETL activities using blueprints and workflows in AWS Glue. Authenticate with either IAM Identity Center (for CodeWhisperer Professional) or AWS Builder ID (for Step 3. Sep 26, 2023 · AWS Glue now supports custom icons for custom visual transforms. AWS Glue Studio. Starting jobs in AWS Glue Studio. For more information, see nbconvert: Convert Notebooks to other formats . AWS Glue Studio now includes a code editor for customizing the extract-transform-and-load (ETL) code it generates from your input in its visual ETL job editor. Posted On: Nov 10, 2023. AWS Glue job parameters. Deploying the Script to Your Development Endpoint. Aug 16, 2022 · Interactive Sessions for Jupyter is a new notebook interface in the AWS Glue serverless Spark environment. When creating a AWS Glue job, you set some standard fields, such as Role and WorkerType . In these fields, you can provide AWS Glue jobs with the arguments (parameters) listed in this topic. It covers: Connecting PyCharm Professional to a Development Endpoint. On the Toolkit Getting Started page, select CodeWhisperer. There are three main configurations: connection, connection options, and job parameters that you must configure per the data lake format. ipynb notebook document file into a . Oct 19, 2023 · AWS Glue for Apache Spark now supports native connectivity to Google BigQuery, which enables users to efficiently read and write data from BigQuery without the need to install or manage BigQuery connector for Apache Spark libraries. AWS Glue Studio has just introduced the capability of defining your own reusable transform components, which you can then use to build visual jobs. Specifying the path of the output files. AWS Glue provides built-in support for Snowflake. %stop_session. Apr 20, 2023 · Using the results to apply an AWS Glue Studio visual transform; Performing an APPEND on the results to load them into a destination table; Set up resources with AWS CloudFormation. Setting Up AWS Glue Crawler (Data Sources are S3 and DB) First, you should choose your data source and classifiers: Setting Up AWS Glue Crawler. When prompted, choose to restart VS Code to complete the installation process. Step 3. For example, aws-glue-git-demo-job. AWS Glue is a serverless data integration service that makes data preparation simpler, faster, and cheaper. Star AWS Glue provides both visual and code-based interfaces to make data integration easier. AWS Glue Studio validates the JSON config file before custom visual transforms are loaded into AWS Glue Studio. Refer to athena workgroup documentation. For zipping dependency files, we wrote shell script which zips files and upload to s3 location and then applies CF template to deploy glue job. 0 and Glue 2. Mar 26, 2024 · Connecting to data sources using Visual ETL jobs. Initiating Port Forwarding. Not all of the setting up sections are required to start using AWS Glue. JSON format validation. You can discover and connect to over 70 diverse data sources, manage your data in a centralized data catalog, and visually create, run, and Jul 27, 2023 · DataBrew is a visual data preparation tool that enables you to clean and normalize data without writing any code. The Toolkit for VS Code assists you in certain Amazon ECS-related work, such as creating task definitions. Doing some business transformations and then storing the data back to the database table using the same JDBC connection. 1 runtime experience for batch and stream processing. How do I set the parameter without running the whole job? b) Ultimately, I want to develop in VS Code. If you prefer authoring AWS Glue for Apache Spark jobs using a visual tool, you can now choose any of these three data lake frameworks as a source or target through a graphical May 14, 2024 · Connecting to OpenSearch Service in AWS Glue Studio. This magic is not supported when you run a Jupyter Notebook in AWS Glue Studio. 0, the latest version of AWS Glue Spark jobs, provides a performance-optimized Apache Spark 3. . The host can be a hostname, IP address, or UNIX domain socket. You can also build your own connector and then upload the connector code to AWS Glue Studio. When I start the notebook from command prompt, I see the various kernels in the browser. AWS Glue Studio is an easy-to-use graphical interface that speeds up the process of authoring, running, and monitoring extract, transform, and load (ETL) jobs in AWS Glue. For running queries before or after a data load I recommend using the redshift_connector python library on pypi via --additional-python-modules . PDF RSS. For detailed instructions on how to set up IAM Identity Center for Software Development Kits (SDKs), see the IAM Identity Center authentication section of the AWS SDKs and Tools Reference Guide. Refer to the AWS Region Code Table. For later versions of Glue, it is planned to publish relevant images. Sep 1, 2023 · Are you tired of finding typos and spelling errors in your AWS Glue scripts? Fear not! In this article, we’ll show you how to develop AWS Glue in Visual Studio Code by using dev on another example of how to create ETL jobs with AWS Glue Studio. Detect and process sensitive data using AWS Glue Studio. Mar 20, 2023 · Expanding on the functionality we announced at AWS re:Invent 2022, AWS Glue now natively supports Hudi, Delta Lake and Iceberg through the AWS Glue Studio visual editor. AWS Glue ETL scripts are coded in Python or Scala. Choose Apply Mapping node. With the AWS Toolkit for Visual Studio, you'll be able to get started faster and be more productive when building AWS Jul 26, 2023 · For this post, let’s assume the use case to add a new AWS Glue job with a new job script to read multiple S3 locations and join them. py file. 0 and 2. py file in the job under “Referenced files path” and in the script, import the name of the python file (without the extension) by adding Visually compose modern applications from 1,000+ AWS CloudFormation resources with little guesswork. Now, you can use AWS Glue Studio’s visual editor to get Sep 23, 2020 · AWS Glue Studio is a new visual interface for AWS Glue that makes it easy for extract-transform-and-load (ETL) developers to author, run, and monitor AWS Glue ETL jobs. It uses both visual and code-based interfaces to make data integration easier. Use one of the following naming methods in your code: With Git integration in AWS Glue Studio, you can: Integrate with Git version control systems, such as AWS CodeCommit, GitHub, GitLab, and Bitbucket. There are two ways you can convert a script or notebook into an AWS Glue job: Use nbconvert to convert your Jupyter . In the success banner, choose Run Details, or you can choose the Runs tab of the visual editor to view information about the job run. The AWS Toolkit for Visual Studio Code provides some support for Amazon Elastic Container Service (Amazon ECS). Integrate with Workflow Studio to visually orchestrate over 220 AWS services or public http endpoints with Step Functions workflows. Users can easily find and access data using the AWS Glue Data Catalog. AWS offers AWS Glue to help you integrate your data from multiple sources on serverless infrastructure for analysis, machine learning (ML), and application development. With the AWS Toolkit for Visual Studio Code, you will be able to get started faster and be more productive when building applications with Visual Studio Code Sep 24, 2020 · Making ETL easier with AWS Glue Studio. Validation includes: Presence of required fields. Using AWS Glue workflows, you can design a complex multi-job, multi-crawler ETL process that AWS Glue Jan 30, 2023 · AWS Glue Studio now offers 5 new visual transforms: Flatten, Format timestamp, To timestamp, Add identifier, and Add UUID. Go to the Job details tab and select a role with AWS Glue Jun 7, 2021 · Posted On: Jun 7, 2021. If the connection string doesn't specify a port, it uses the default MongoDB port, 27017. A list of CodeGenConfigurationNodes are provided to a create or update job API to register a DAG in AWS Glue Studio for the created job and generate the associated code. The connection URI formats are as follows: For MongoDB: mongodb://host:port/database. AWS Glue Studio provides a visual interface to connect to Snowflake, author data integration jobs, and run them on the AWS Glue Studio serverless Spark runtime. The AWS Toolkit for Visual Studio is an extension for Microsoft Visual Studio running on Microsoft Windows that makes it easier for developers to develop, debug, and deploy . Data engineers can author AWS Glue jobs faster and more easily than before using the interactive notebook interface in AWS Glue Studio or interactive sessions in AWS Glue. You can do this by adding source nodes that use connectors to read in data, and target nodes to specify the location for writing out data. Data engineers and ETL (extract, transform, and load) developers can visually create, run, and monitor ETL workflows in a few steps in AWS Glue Studio. To enable Iceberg for AWS Glue, complete the following tasks: Specify iceberg as a value for the --datalake-formats job parameter. Create an output database. From the AWS Toolkit for Visual Studio Code extension in the VS Code Marketplace, choose Install to begin the installation process. AWS Glue Visual Job API. S3 Output Location AWS Glue. Net applications on Amazon Web Services. 77 ) and have installed the Python and Jupyter extensions as well and trying to set-up This video helps you with AWS Glue Studio fundamentals and enables you to author your first ETL job using Glue Studio demo. Incorrect or invalid parameters. Users can more easily find and access data using the AWS Glue Data Catalog . Use the right tool for the task, including visual, code, or generative AI powered code suggestions in your IDE. Some of your organization's complex extract, transform, and load (ETL) processes might best be implemented by using multiple, dependent AWS Glue jobs and crawlers. AWS Glue provides built-in support for Azure Cosmos DB. To increase agility and optimize costs, AWS Glue provides built-in high availability and pay-as-you-go billing. Python version set-up for this is Python 3. NET applications using Amazon Web Services. Presuming all goes well, you’ll eventually see the files in the container in the Explorer panel, and clicking on Terminal will open a command-line prompt inside the container. The Amazon Glue Studio visual editor is a graphical interface that makes it easy to create, run, and monitor extract, transform, and load (ETL) jobs in Amazon Glue. This is a step-by-step walkthrough of the various components of AWS Glue Studio and how to AWS Glue managed data transform nodes. For pricing information, see AWS Glue pricing. Your data passes from one node in the job diagram to another in a data structure called a DynamicFrame, which is an extension to an Apache Spark SQL DataFrame. Enabling the Iceberg framework. Write an AWS Glue ETL script. Write a Python extract, transfer, and load (ETL) script that uses the metadata in the Data Catalog to do the following: An AWS account isn't required to use the AWS Toolkit for Visual Studio Code, however Toolkit functions are limited without a connection. Upload the file to AWS Glue Studio Notebooks. When referring to the input nodes in your code, AWS Glue Studio names the DynamicFrames returned by the job diagram nodes sequentially based on the order of creation. It's the workgroup which will run the queries. Users can now add BigQuery as a source or target within AWS Glue Studio's no-code, drag-and-drop visual interface AWS Glue provides all of the capabilities needed for data integration. Return the status of the current AWS Glue session including its duration, configuration and executing user / role. In DataBrew, a recipe is a set of data transformation steps that you can author interactively in its intuitive visual interface Visual Studio Code needs first to set up the extension host and Visual Studio Code server before building the Dev Container environment. Mar 26, 2024 · Authoring code with AWS Glue Studio notebooks. Click here to access gist file Developing using Amazon Glue Studio. AWS Region. to/2VpTOGx AM Grobelny and Nicki Klein introduce the AWS Toolkit for Visual Studio Code In AWS Glue Studio, open a visual job and add the transform to the job by selecting it from the list of available Transforms. Note that no code is May 14, 2024 · Connect with an AWS IQ expert. Apr 22, 2019 · Learn more about AWS Toolkit for Visual Studio Code at – https://amzn. Starting in seconds and automatically stopping compute when idle, interactive sessions provide an on-demand, highly-scalable, serverless Spark backend to Jupyter notebooks and Jupyter-based IDEs such as Jupyter Lab, Microsoft Visual Studio Code, JetBrains PyCharm, and more. 0 using docker-compose file. You can return to the Getting Started page at any time with Extensions -> AWS Toolkit -> Getting Started. Mar 26, 2024 · Connect with an AWS IQ expert. Create AWS Glue jobs with notebooks. You can edit this script, or you can When you use the visual editor to create a job, the ETL code is automatically generated for you. This repository provides source for developing Glue with Docker and Visual Studio Code. Validate and troubleshoot custom visual transforms in AWS Glue Studio. Pull jobs from a repository and edit them To configure a Snowflake connection with AWS Glue jobs programatically, see Redshift connections . Usually the primary workgroup is the one to go. I guess the issue Mar 26, 2024 · Step 3. The AWS Glue Spark runtime allows you to plug in any connector that is compliant with the Spark, Athena, or JDBC interface. While creating a new job, you can use connections to connect to data when editing visual ETL jobs in AWS Glue. You can then use AWS Glue Studio’s job run dashboard to Oct 13, 2022 · AWS Glue Studio’s visual editor now also supports parameterizing data sources and targets for transparent deployments between environments. You can easily visualize, clean, and normalize data directly from your data lake, data warehouses, and databases, including Amazon Simple Storage Service (Amazon S3 The AWS Toolkit for Visual Studio Code is an open source plug-in for the Visual Studio Code that will make it easier to create, debug, and deploy . AWS Glue DataBrew provides an interactive, point-and-click visual interface for users like data analysts and data scientists to clean and normalize data without writing code. Today, AWS Glue Studio announces a faster and embedded interactive data preview experience. %status. This section describes the extensions to Apache Spark that AWS Glue has introduced, and provides examples of how to code and run ETL scripts in Python and Scala. Oct 8, 2022 · pip3 install --upgrade jupyter boto3 aws-glue-sessions pip3 show aws-glue-sessions cd <site-packages location>\aws_glue_interactive_sessions jupyter-kernelspec install glue_pyspark jupyter-kernelspec install glue_spark But I can run jupyter notebook on terminal to open jupyter notebook working with pyspark without a problem. The new interactive Mar 26, 2024 · Step 3. There are two forms of code generated by AWS Glue Studio: the original, or Classic version, and a newer, streamlined version. This reusabilit Apr 14, 2022 · AWS Glue version 3. Reusable transforms increase consistency between teams and help keep jobs up to date by minimizing duplicate effort and code. AWS Glue Studio offers a visual extract-transform-and-load (ETL) interface that helps ETL developers to author, run, and monitor AWS Glue ETL jobs quickly. Update custom visual transforms as needed; Step 5. Enable self-service visual data integration and analysis for fund performance using AWS Glue Studio and Amazon QuickSight. This is part 1 of 3 part series. AWS Glue DataBrew features an easy-to-use visual interface that Nov 29, 2023 · 1. Is there a way to set the JOB_NAME parameter there? Aug 20, 2021 · In this post, I demonstrated how to build local development environments for AWS Glue 1. The Amazon CodeWhisperer extension supports writing code by generating code recommendations and suggesting improvements related to code issues. You can keep glue and pyspark code in separate files and can unit-test pyspark code locally. For details on how to authenticate and connect Jan 15, 2023 · AWS Glue enabled sharing and reusability of business specific transformation and business logic in ETL jobs among the teams and team members. 2. Use custom visual transforms in AWS Glue Studio; Usage examples; Examples of custom visual scripts Also as a reminder, when using Glue with Redshift we also strongly recommend using Glue 4. For Teradata, SAP HANA, Azure SQL, and Vertica, users can specify a single table or enter a custom query to select their data. You can now use a simple visual interface to compose jobs that move and transform data and run them on AWS Glue. 0, the Docker image that was published by AWS Glue team is used while a custom image is published to CEVO Australia's public image repository for Glue 3. Leave the default options ( Visual with a source and target and S3 source and destination), and choose Create. Use custom visual transforms in AWS Glue Studio; Usage examples; Examples of custom visual scripts Create jobs through AWS Glue Studio, a graphical interface that makes it easy to create, run, and monitor integration jobs. Integrating data from different sources can be a complex and time-consuming process. Give the job a name by editing Untitled job at the top left; for example, CustomTransformsDemo. Step 2: Click on View Jobs. The code that you use must match the language specified for the job on the Job details tab. Choose the Download button for the relevant version of Visual Studio 2022 and follow the installation prompts. Mar 26, 2024 · To run the job you created for the AWS Glue Connector for Elasticsearch. Stop the current session. The following sections provide information on setting up AWS Glue. In the AWS Glue Studio console, choose Jobs from the navigation Mar 11, 2020 · Here is a pretty detailed guide on how you can setup nice local development environment with PyCharm Professional. You can provide additional configuration information through the Argument fields ( Job Parameters in the console). AWS Glue Studio provides a visual interface to connect to Amazon OpenSearch Service, author data integration jobs, and run them on the AWS Glue Studio serverless Spark runtime. Then examples of launching Pyspark shells, submitting an application and running a test are shown. You can author AWS Glue jobs in different ways. AWS Glue Studio provides a visual interface to connect to Azure Cosmos DB for NoSQL, author data integration jobs, and run them on the AWS Glue Studio serverless Spark runtime. Glue Visual Studio developers can now use To install AWS Toolkit for Visual Studio 2022 from Visual Studio, complete the following steps: From the Main menu, navigate to Extensions and choose Manage Extensions. Step 3: Select the option Visual with a source and target and click Create. On the Visual tab, choose Source and then choose AWS Glue Data Catalog. txt file. AWS Glue provides built-in support for Amazon OpenSearch Service. The AWS Region code where your queries should be run. For detecting dependencies, we created (glue job)_dependency. For more information on Visual Job API data types, see Visual Job AWS IAM Identity Center is the recommended best practice for managing your AWS account authentication. 0. Starting the Debug Server on localhost and a Local Port. Enter a name for the job using the title editor. Example: %session_id_prefix 001. The visual interface allows those who don’t know Apache Spark to design jobs without coding experience and accelerates the process Jun 27, 2022 · Step 1: On the search bar type 'Glue Studio' to navigate to AWS Glue Studio. Users can more easily find and access data using the AWS Glue Data Catalog. Mar 26, 2024 · Programming Spark scripts. AWS Glue Studio provides you with job and job run management interfaces that make it clear how jobs relate to each other, and give an overall picture of Jul 26, 2023 · Data is essential for businesses to make informed decisions, improve operations, and innovate. Source: AWS Console. Working with Amazon Elastic Container Service. Install the latest version of the AWS Toolkit for Visual Studio 2022. You can use the instructions as needed to set up IAM permissions, encryption, and DNS (if you're using a VPC environment to access data stores or if you're using interactive Local AWS Glue Libs using Visual Studio Code Remote - Containers Extension License. AWS Glue Studio is a graphical interface that makes it easy to create, run, and monitor data integration jobs in AWS Glue. Oct 17, 2022 · I have created a Glue job using Glue studio Visual Editor. Overview of solution To demonstrate how to integrate AWS Glue Studio with a code hosting platform for version control and collaboration, we use the Toronto parking tickets dataset , specifically the data If VS Code is not already running on your machine, this operation may take a few moments while VS Code is loading. Use AWS Glue Studio for easier job management. Custom connectors are integrated into AWS Glue Studio through the AWS Glue Spark runtime API. Create a key named --conf for your AWS Glue job, and set it to the following value. L Jan 18, 2018 · 8. 0 as the newest connectors are exponentially better than the old. MIT license 1 star 1 fork Branches Tags Activity. To demonstrate the AWS Glue Studio visual editor experience with Amazon Redshift, we provide an AWS CloudFormation template for you to set up baseline resources quickly. Use custom visual transforms in AWS Glue Studio; Usage examples; Examples of custom visual scripts AWS Glue Studio provides multiple ways to customize your ETL scripts,including adding nodes that represent code snippets in the visual editor. Using the AWS Glue Studio console, on the visual editor page, choose Run. The Visual job API allows you to create data integration jobs by using the AWS Glue API from a JSON object that represents a visual configuration of a AWS Glue job. Nov 11, 2020 · AWS Glue DataBrew is a new visual data preparation tool for AWS Glue that helps you clean and normalize data without writing code, reducing the time it takes to prepare data for analytics and machine learning by up to 80% compared to traditional approaches to data preparation. You can start a job by clicking on any of the options or create a new job based on a sample job. When combined with AWS Glue ETL capabilities, this new connector simplifies the creation of ETL pipelines, enabling ETL developers to save time building and Be sure that the IAM user has the right privileges to query AWS Athena. In the pre-populated diagram for a job, between the pip3 install --upgrade jupyter boto3 aws-glue-sessions pip3 show aws-glue-sessions cd <site-packages location>\aws_glue_interactive_sessions jupyter-kernelspec install glue_pyspark jupyter-kernelspec install glue_spark But I can run jupyter notebook on terminal to open jupyter notebook working with pyspark without a problem. zb ht op pz mk qg md cd hc fc