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Awesome GitHub RepositoriesColumnar Segments
Independent, time-based horizontal shards using columnar storage and indices for memory-mapped query serving.
Distinct from Columnar Formats: Distinct from general columnar formats: focuses on the segment-based sharding architecture for memory-mapped access.
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Awesome Columnar Segments GitHub Repositories
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- apache/pinot
apache/pinot
6,098在 GitHub 上查看Pinot is a distributed, columnar analytical database designed for high-concurrency, low-latency query processing. It functions as a real-time OLAP datastore, enabling interactive, user-facing analytics by ingesting and querying massive datasets from both streaming and batch sources. The system architecture relies on a centralized controller for cluster coordination and a distributed segment-based storage model to ensure horizontal scalability. The platform distinguishes itself through a hybrid ingestion pipeline that unifies real-time event streams and historical batch data into a single quer
Organizes table data into independent, time-based horizontal shards using columnar storage and indices.
Java
