Açıklaması şöyle
Apache Doris employs a typical MPP (Massively Parallel Processing) distributed architecture, tailored for high-concurrency, low-latency real-time online analytical processing (OLAP) scenarios. It comprises front-end and back-end components, leveraging multi-node parallel computing and columnar storage to efficiently manage massive datasets. This design enables Doris to deliver query results in sub-seconds, making it ideal for complex aggregations and analytical queries on large datasets.
Dialects
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The SQL dialect conversion feature of Apache Doris understands more than ten SQL dialects, including Presto, Trino, Hive, and ClickHouse.
Full-text Search
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In version 2.0, Apache Doris introduced inverted index and started to support full-text search.
