AWS Glue version support policy
AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, machine learning, and application development. An AWS Glue job contains the business logic that performs the data integration work in AWS Glue. There are three types of jobs in AWS Glue: Spark (batch and streaming), Ray and Python shell. When you define your job, you specify the AWS Glue version, which configures versions in the underlying Spark, Ray or Python runtime environment. For example: an AWS Glue version 2.0 Spark job supports Spark 2.4.3 and Python 3.7.
Support policy
AWS Glue versions are built around a combination of operating system, programming language, and software libraries that are subject to maintenance and security updates. AWS Glue's version support policy is to end support for a version when any major component of the version reaches the end of community long-term support (LTS) and security updates are no longer available. After a version is End of Support (EOS), AWS Glue may no longer apply security patches or other updates to EOS versions. AWS Glue jobs on EOS versions are not eligible for technical support. AWS Glue may also not honor SLAs when jobs are run on EOS versions.
The following AWS Glue versions have reached or are scheduled for end of support. End of support starts at midnight (Pacific time zone) on the specified date.
Type | Glue version | End of support |
---|---|---|
Spark | Spark 2.2, Scala 2 (Glue version 0.9) | 6/1/2022 |
Spark | Spark 2.2, Python 2 (Glue version 0.9) | 6/1/2022 |
Spark | Spark 2.4, Python 2 (Glue version 1.0) | 6/1/2022 |
Spark | Spark 2.4, Python 3 (Glue version 1.0) | 9/30/2022 |
Spark | Spark 2.4, Scala 2 (Glue version 1.0) | 9/30/2022 |
Spark | Glue version 2.0 | 1/31/2024 |
Type | Python version | End of support |
Python shell | Python 2 (Glue Version 1.0) | 6/1/2022 |
Type | Notebook version | End of support |
Development endpoint | Zeppelin notebook | 9/30/2022 |
AWS strongly recommends that you migrate your jobs to supported versions.
For information on migrating your Spark jobs to the latest AWS Glue version, see Migrating AWS Glue jobs to AWS Glue version 4.0.
For migrating your Python shell jobs to the latest AWS Glue version:
In the console, choose
Python 3 (Glue Version 4.0)
.-
In the CreateJob/UpdateJob API, set the
GlueVersion
parameter to2.0
, and thePythonVersion
to3
under theCommand
parameter. TheGlueVersion
configuration does not affect the behavior of Python shell jobs, so there is no advantage to incrementingGlueVersion
. You need to make your job script compatible with Python 3.