What Iceberg V3 Advances Mean for CDC Pipelines
Read OriginalThis article details the limitations of Apache Iceberg V2 for Change Data Capture (CDC) pipelines, specifically the accumulation of delete files that degrade read performance and require heavy compaction. It introduces Iceberg V3's key advances: binary deletion vectors that compactly track row deletions, and native row lineage for incremental processing. The article covers how these changes reduce delete file bloat, improve query planning, and simplify CDC architecture. It also discusses engine support, compatibility, and practical setup for Debezium and Flink, making it a valuable resource for data engineers working with streaming data and lakehouse architectures.
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