I am following AWS documentation on how to transfer DDB table from one account to another. There are two steps: Export DDB table into Amazon S3 Use a Glue job t
We have an ETL job that uses the below code snippet to update the catalog table: sink = glueContext.getSink(connection_type='s3', path=config['glue_s3_path_bc']
So, I've used Glue before, but it's been with a single file <> single folder relationship. What I'm trying to do now is to have a structure like this crea
Ive created an EMR cluster with the Glue Data catalog. When I invoke the spark-shell, I am able to successfully list tables stored within a Glue database via s
I am trying to populate maximum possible Glue job metrics for some testing, below is the setup I have created: A crawler reads data (dummy customer data of 500
According to AWS Glue documentation, we can use exlusions to exclude files when the connection type is s3: https://docs.aws.amazon.com/glue/latest/dg/aws-glue-
I'm running trino on EMR version 6.5 and I have added the iceberg connector for the trino and I want it to use a glue catalog. These are the configuration under
When I started job with IAM Role AWSGlueServiceNotebookRoleDefault I have this error: Failed to authenticate user due to missing information in request. No info
I have a crawler I created in AWS Glue that does not create a table in the Data Catalog after it successfully completes. The crawler takes roughly 20 seconds
Looks like my earlier post was not clear. Here is what am looking for, I have an aws glue catalog table consisting of 29 columns. Source table with 31 columns.
According to Moving data from S3 -> RDS using AWS Glue I found that an instance is required to add a connection to a data target. However, my RDS is a serve
I have ran a crawler on json S3 file for updating an existing external table. Once finished I checked the SVL_S3LOG to see the structure of the external table a