For Glue version 1.0 or earlier jobs, using the standard worker type, the number of Glue data processing units (DPUs) that can be allocated when this job runs. A DPU is a relative measure of processing power that consists of 4 vCPUs of compute capacity and 16 GB of memory.

Returns a list of resource metadata for a given list of job names. After calling the ListJobs operation, you can call this operation to access the data to which you have been granted permissions. This operation supports all IAM permissions, including permission conditions that …

Defines the public endpoint for the Glue service.

Jun 16, 2021 · AWS Glue is a fully-managed ETL service that provides a serverless Apache Spark environment to run your ETL jobs. For your ETL use cases, we recommend you explore using AWS Glue. For other batch oriented use cases, including some ETL use cases, AWS Batch might be a better fit.

Jan 13, 2025 · This post showcases how to use Spark on AWS Glue to seamlessly ingest data into OpenSearch Service. We cover batch ingestion methods, share practical examples, and discuss best practices to help you build optimized and scalable data pipelines on AWS.

Mar 16, 2024 · You can do this within a glue job or lambda function, I would personally use Glue as I can add new features to the script if needed. Otherwise, I would use PySpark JDBC to import data more efficient and would skip the s3 step as data can be exported directly back to Aurora.

This repo showcases multiple ways to leverage AWS Glue to seamlessly ingest data into Amazon OpenSearch. We’ll cover multiple batch ingestion methods, share practical examples, and discuss best practices to help you build optimized and scalable data pipelines on AWS.

Glue.Client. batch_get_jobs (** kwargs) # Returns a list of resource metadata for a given list of job names. After calling the ListJobs operation, you can call this operation to access the data to which you have been granted permissions.

Batch Jobs running in an AWS Glue Environment will run using the AWS Glue Service. AWS Glue Batch Jobs can read and write data to Amazon Simple Storage Service (Amazon S3) buckets. The AWS Glue ETL service is used as a serverless data processing environment to run AWS Glue Batch Jobs.

Running an AWS Glue Batch Job involves specifying a Policy together with the location of the data to be processed, applying the Policy to that data and then publishing the output to a Protected Data Domain (PDD). AWS Glue Batch Jobs can only be defined on Policies defined on single-table schemas.