AI BriefingThe Evolution of Netflix's Cassandra Data Migration Technology
Key point
Netflix has redesigned its data migration approach from Cassandra to Iceberg to overcome the limitations of the existing Casspactor.
Details
Netflix has been moving approximately 1,200 jobs and a total of 3PB of data daily from Apache Cassandra to Apache Iceberg through its own connector called Casspactor. However, as data scale grew, the existing approach faced serious technical limitations.
The main issues are as follows:
- Fragile metadata dependency: The approach of collecting metadata from multiple independent systems caused synchronization issues with the actual backup data.
- Lack of data model awareness: Casspactor could only migrate raw tables, requiring additional post-processing work when handling high-level data abstraction models such as Key Value or Time Series.
- Resource and performance issues: Out-of-Memory (OOM) errors occurred when processing large-scale partitions, and storage was wasted due to the creation of intermediate tables.
To address this, Netflix aims to improve the architecture by introducing a 'Single Source of Truth' approach that reads metadata directly from Amazon S3 backup files rather than from external systems.
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