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Stores complex hierarchical types like lists and sets by treating the underlying changelog as a transaction log.
Distinct from Nested Data Manipulations: Focuses on the persistent storage of nested types in a state store rather than just manipulating them in columnar formats.
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Faust is a Python library for building distributed stream processing applications that integrate with Kafka. It functions as an asynchronous stream processor designed to handle high-throughput event streams and real-time data analysis using asynchronous functions. The system operates as a distributed stream processor and state store, utilizing sharding and partitioned topics to scale processing workloads horizontally across multiple worker nodes. It maintains state through a replicated key-value storage system backed by local databases to ensure high availability and fast recovery. The frame
Maintains complex types like lists and sets within tables by utilizing a transaction log for the changelog.