Accelerate query performance with Apache Iceberg statistics on the AWS Glue Data Catalog
Big Data Blog
This article discusses a new capability in AWS Glue Data Catalog to generate column-level aggregation statistics for Apache Iceberg tables, enabling faster queries on the data. It highlights how these statistics are utilized by Amazon Redshift Spectrum's cost-based optimizer, leading to improved query performance and potential cost savings.
Specifically, the article covers:
- How Iceberg table column statistics work, using the Theta Sketch algorithm to efficiently estimate the number of distinct values in columns
- Leveraging Iceberg column statistics through Amazon Redshift to optimize query plans
- A step-by-step guide to set up resources, generate column statistics on a TPC-DS dataset, and run queries with and without statistics to compare performance
- How to automate the column statistics generation using AWS Lambda and Amazon EventBridge
- Performance test results showing significant query speedup (up to 489%) when using column statistics
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