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Introducing AWS Glue Data Catalog automation for table statistics collection for improved query performance on Amazon Redshift and Amazon Athena
- AWS Glue Data Catalog now automates generating statistics for new tables, integrated with CBO from Amazon Redshift Spectrum and Amazon Athena.
- Table statistics are essential in optimizing queries on large datasets for join operations across multiple datasets.
- Data Catalog previously supported collecting table statistics for table formats like Parquet, ORC, JSON, ION, CSV, and XML and Apache Iceberg tables.
- The latest update allows administrators to configure weekly statistics collection across all databases and tables, optimizing the platform's cost-efficiency.
- The feature enables flexible per-table controls, allowing individual data owners to manage table statistics per their requirements.
- Catalog-level statistics collection can be enabled via the Lake Formation console or the AWS CLI.
- With this feature, AWS Glue automatically updates column statistics for all columns in each table, using 20% of records to calculate statistics.
- Individual data owners can configure scheduled collection configurations at the table level and customize settings for individual tables.
- This feature will help in the efficient management of up-to-date column-level statistics to optimize query processing and cost-efficiency.
- Try this feature for your use case, and share your feedback in the comments.
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