AWS Glue
Developer Guide

Document History for AWS Glue

The following table describes important changes to the documentation for AWS Glue.

  • Latest API version: 2019-06-11

  • Latest documentation update: Jun, 11 2019

Change Description Date

Support for performing extract, transfer, and load (ETL) activities using workflows

Added information about using a new construct called a workflow to design a complex multi-job extract, transform, and load (ETL) activity that AWS Glue can execute and track as single entity. For more information see Performing Complex ETL Activities Using Workflows in AWS Glue.

June 11, 2019

Support for Python 3.6 in Python shell jobs

Added information about support for Python 3.6 in Python shell jobs. You can specify either Python 2.7 or Python 3.6 as a job property. For more information, see Adding Python Shell Jobs in AWS Glue.

June 5, 2019

Support for virtual private cloud (VPC) endpoints

Added information about connecting directly to AWS Glue through an interface endpoint in your Virtual Private Cloud (VPC). When you use a VPC interface endpoint, communication between your VPC and AWS Glue is conducted entirely and securely within the AWS network. For more information, see Using AWS Glue with VPC Endpoints.

June 4, 2019

Support for real-time, continuous logging for AWS Glue jobs.

Added information about enabling and viewing real-time Apache Spark job logs in CloudWatch including the driver logs, each of the executor logs, and a Spark job progress bar. For more information, see Continuous Logging for AWS Glue Jobs.

May 28, 2019

Support for existing Data Catalog tables as crawler sources

Added information about specifying a list of existing Data Catalog tables as crawler sources. Crawlers can then detect changes to table schemas, update table definitions, and register new partitions as new data becomes available. For more information, see Crawler Properties.

May 10, 2019

Support for additional configuration options for memory-intensive jobs

Added information about configuration options for Apache Spark jobs with memory-intensive workloads. You can choose from two new configurations that provide more memory per executor. For more information, see Adding Jobs in AWS Glue.

April 5, 2019

Support for CSV custom classifiers

Added information about using a custom CSV classifier to infer the schema of various types of CSV data. For more information, see Writing Custom Classifiers.

March 26, 2019

Support for AWS Resource Tags

Added information about using AWS resource tags to help you manage and control access to your AWS Glue resources. You can assign AWS resource tags to jobs, triggers, endpoints, and crawlers in AWS Glue. For more information, see AWS Tags in AWS Glue.

March 20, 2019

Support of AWS Glue Data Catalog for Spark SQL jobs

Added information about configuring your AWS Glue jobs and development endpoints to use the AWS Glue Data Catalog as an external Apache Hive Metastore. This allows jobs and development endpoints to directly run Apache Spark SQL queries against the tables stored in the AWS Glue Data Catalog. For more information, see AWS Glue Data Catalog Support for Spark SQL Jobs.

March 14, 2019

Support for Python shell jobs

Added information about Python shell jobs and the new field Maximum capacity. For more information, see Adding Python Shell Jobs in AWS Glue.

January 18, 2019

Support for notifications when there are changes to databases and tables

Added information about events that are generated for changes to database, table, and partition API calls. You can configure actions in CloudWatch Events to respond to these events. For more information, see Automating AWS Glue with CloudWatch Events.

January 16, 2019

Support for encrypting connection passwords

Added information about encrypting passwords used in connection objects. For more information, see Encrypting Connection Passwords.

December 11, 2018

Support for resource-level permission and resource-based policies

Added information about using resource-level permissions and resource-based policies with AWS Glue. For more information, see the topics within Security in AWS Glue.

October 15, 2018

Support for Amazon SageMaker notebooks

Added information about using Amazon SageMaker notebooks with AWS Glue development endpoints. For more information, see Managing Notebooks.

October 5, 2018

Support for encryption

Added information about using encryption with AWS Glue. For more information, see Encryption and Secure Access for AWS Glue and Setting Up Encryption in AWS Glue.

August 24, 2018

Support for Apache Spark job metrics

Added information about the use of Apache Spark metrics for better debugging and profiling of ETL jobs. You can easily track runtime metrics such as bytes read and written, memory usage and CPU load of the driver and executors, and data shuffles among executors from the AWS Glue console. For more information, see Monitoring AWS Glue Using CloudWatch Metrics, Job Monitoring and Debugging and Working with Jobs on the AWS Glue Console.

July 13, 2018

Support of DynamoDB as a data source

Added information about crawling DynamoDB and using it as a data source of ETL jobs. For more information, see Cataloging Tables with a Crawler and Connection Parameters.

July 10, 2018

Updates to create notebook server procedure

Updated information about how to create a notebook server on an Amazon EC2 instance associated with a development endpoint. For more information, see Creating a Notebook Server Associated with a Development Endpoint.

July 9, 2018

Updates now available over RSS

You can now subscribe to an RSS feed to receive notifications about updates to the AWS Glue Developer Guide.

June 25, 2018

Support delay notifications for jobs

Added information about configuring a delay threshold when a job runs. For more information, see Adding Jobs in AWS Glue.

May 25, 2018

Configure a crawler to append new columns

Added information about new configuration option for crawlers, MergeNewColumns. For more information, see Configuring a Crawler.

May 7, 2018

Support timeout of jobs

Added information about setting a timeout threshold when a job runs. For more information, see Adding Jobs in AWS Glue.

April 10, 2018

Support Scala ETL script and trigger jobs based on additional run states

Added information about using Scala as the ETL programming language. In addition, the trigger API now supports firing when any conditions are met (in addition to all conditions). Also, jobs can be triggered based on a "failed" or "stopped" job run (in addition to a "succeeded" job run).

January 12, 2018

Earlier Updates

The following table describes the important changes in each release of the AWS Glue Developer Guide before January 2018.

Change Description Date
Support XML data sources and new crawler configuration option Added information about classifying XML data sources and new crawler option for partition changes. November 16, 2017
New transforms, support for additional Amazon RDS database engines, and development endpoint enhancements Added information about the map and filter transforms, support for Amazon RDS Microsoft SQL Server and Amazon RDS Oracle, and new features for development endpoints. September 29, 2017
AWS Glue initial release This is the initial release of the AWS Glue Developer Guide. August 14, 2017

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