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Awesome GitHub RepositoriesDictionary Encoding Optimizers
Automated evaluation of cardinality and storage savings to determine dictionary encoding application.
Distinct from Data Dictionaries: Distinct from Data Dictionaries: focuses on the automated decision-making process for dictionary encoding, not just maintaining fixed value sets.
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Awesome Dictionary Encoding Optimizers GitHub Repositories
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- apache/pinot
apache/pinot
6,098Ver en GitHubPinot 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
Automatically evaluates data cardinality and storage savings to decide whether to apply dictionary encoding to specific columns during ingestion.
Java
