Amazon Redshift now supports Just-In-Time (JIT) ANALYZE for Apache Iceberg tables
News
This article announces the general availability of Just-In-Time (JIT) ANALYZE for Apache Iceberg tables in Amazon Redshift, enabling optimized analytics queries on data lake tables.
- JIT ANALYZE automatically collects and utilizes table and column statistics during query execution
- Eliminates manual statistics collection for Iceberg tables
- Enables query engine to generate optimal execution plans without pre-calculated statistics
- Uses intelligent heuristics and lightweight sketch data structures for statistics building
- Delivers performance comparable to pre-calculated statistics out-of-the-box
- Available in all AWS regions where Amazon Redshift operates
- No configuration or settings changes required by users
JIT ANALYZE solves the challenge of missing table statistics in data lakes, automatically optimizing query performance for Apache Iceberg tables in Redshift.
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