Amazon Redshift will no longer support the use of Python UDFs after June 30, 2026. We will start enforcing it in phases. For more information on the details of Python end of life and migration options, see the [ blog post ](https://amazonaws-china.com/blogs/big-data/amazon-redshift-python-user-defined-functions-will-reach-end-of-support-after-june-30-2026/) that was published on June 30, 2025. 

# Best practices
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Consider the following best practices when you write to an Apache Iceberg table:
+ For small, frequent writes or streaming workloads, consider using compaction features provided by Amazon Glue Data Catalog or Amazon S3 tables to optimize file sizes for reads.
+ The `DROP TABLE` command deregisters the table from the Amazon Glue Data Catalog or the Amazon S3 tables catalog, but your files still remain. You can use features in Amazon Glue and Amazon S3 tables to remove orphaned files. For Amazon Glue, see [Deleting orphan files](https://docs.amazonaws.cn/glue/latest/dg/orphan-file-deletion.html). For Amazon S3 tables, see [Table maintenance](https://docs.amazonaws.cn/AmazonS3/latest/userguide/s3-tables-maintenance.html).