Apache Iceberg tracks petabytes of data across millions of immutable files by using a metadata tree with four layers: catalog, metadata file, manifest list, and manifest. This design ensures efficient query planning and concurrent writes without locks, offering serializable isolation and time travel queries.
This approach significantly improves performance and scalability for large-scale data processing systems, making it easier to manage schema evolution and partitioning while maintaining data integrity.
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