1 रिपॉजिटरी
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.
Explore 1 awesome GitHub repository matching data & databases · Columnar Segments. Refine with filters or upvote what's useful.
Awesome Columnar Segments GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- apache/pinot
apache/pinot
6,098GitHub पर देखेंPinot 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
