Amazon Redshift will no longer support the creation of new Python UDFs starting November 1, 2025.
If you would like to use Python UDFs, create the UDFs prior to that date.
Existing Python UDFs will continue to function as normal. For more information, see the
blog post
Best practices
Consider the following best practices when you write to an Apache Iceberg table:
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For small, frequent writes or streaming workloads, consider using compaction features provided by AWS Glue Data Catalog or Amazon S3 tables to optimize file sizes for reads.
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The
DROP TABLEcommand deregisters the table from the AWS Glue Data Catalog or the Amazon S3 tables catalog, but your files still remain. You can use features in AWS Glue and Amazon S3 tables to remove orphaned files. For AWS Glue, see Deleting orphan files. For Amazon S3 tables, see Table maintenance.
