Closed arammaliachi closed 4 years ago
Thank you for reporting the issue. I guess it occurred due to network configuration between Glue dev endpoint and Redshift cluster.
You can narrow down the issue by;
Since we would like you to ask this kind of troubleshooting question in AWS Glue Forum or AWS Support instead of reporting as GitHub issues, I am closing this issue for now.
I am trying to push data to Amazon Redshift as described in the join_and_relationalize.md sample.
The write operation works flawlessly if I run it within an AWS Glue job but it times out when I run it within an Amazon SageMaker Jupyter's PySpark notebook that I have connected to an AWS Glue Dev Endpoint (both use the same AWS Glue connection). I'm guessing it has to do with networking but the document doesn't specify anything about this.
Can AWS elaborate on how we must configure our Amazon SageMaker Jupyter's notebook in order to write to Amazon Redshift using PySpark?