Jack
c4b11b53e1
### What problem does this PR solve? Issue Number: None Related PR: #69790 Problem Summary: score() over MATCH clauses that read different inverted indexes of one column fails: INDEX idx_english(name) USING INVERTED PROPERTIES("parser" = "english", ...), INDEX idx_standard(name) USING INVERTED PROPERTIES("parser" = "standard", ...) SELECT id, score() FROM t WHERE name MATCH 'apple' USING ANALYZER english AND name MATCH 'apple' USING ANALYZER standard ORDER BY score() DESC LIMIT 10; -- Scoring predicates for one field select different inverted indexes BM25 statistics are keyed by field (column unique id plus suffix path), but each index of a column holds its own terms and lengths: over Apple and apple, an index that folds case has df(apple) = 2 and one that does not has df(apple) = 1. One entry cannot serve both, so the collector refuses the query. Fix: a MATCH keeps its statistics under the field and the index id. CollectInfo records the field as indexed for opening the index, since the map key no longer is one. The readers bind their source to the real field and pass the statistics name to run_leaf, so the scorers and similarities need no change: they already look statistics up by the name they are given. Each clause now scores with the statistics of its own index, and the combined score is the sum of what each clause scores alone. SEARCH keeps its own statistics names and its rejection of two indexes on one field; only MATCH changes. A MATCH and a SEARCH on one index keep separate entries with the same values.
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Apache Doris is an open-source, real-time analytics and search database built on MPP architecture. It provides fast SQL analytics, lakehouse query acceleration, and hybrid search across structured, text, and vector data.
Explore the official website for the latest product overview, use cases, ecosystem updates, blogs, and user stories. For version updates, see all release notes.
📈 Use Cases
| Use Case | What it provides |
|---|---|
| Customer-Facing Analytics | Ship sub-second interactive analytics to external users. |
| Data Warehousing | Build one real-time warehouse across business domains. |
| Observability | Analyze high-throughput logs, events, and metrics with SQL. |
| Doris for AI | Use vector, text, JSON, and structured search in one SQL engine. |
🚀 Core Capabilities
Apache Doris is built around three core capabilities. The website is the source of truth for detailed product descriptions and examples.
| Capability | What it provides |
|---|---|
| Real-Time Analytics | Streaming ingestion, incremental transformation, and sub-second queries under high concurrency. |
| Lakehouse Analytics | Fast SQL analytics over open table formats such as Iceberg, Delta Lake, and Hudi. |
| Hybrid Search | SQL-native analytics across JSON, full-text, and vector data for AI and search workloads. |
🔌 Ecosystem
Doris sits at the center of the modern data stack. It connects upstream databases, streaming systems, and lakehouse storage with downstream BI, AI, analytics, and observability tools.
For the latest ecosystem coverage, visit the official website and the connection and integration documentation.
👣 Get Started
🧱 Architecture
Apache Doris supports both compute-storage coupled and compute-storage decoupled deployments. In decoupled mode, stateless compute groups run over shared object storage, so you can scale compute on demand and isolate workloads.
Learn more in the deployment guide and deployment mode guide.
📣 Project Updates
| Resource | What it provides |
|---|---|
| Community Report | Weekly updates on community activity, merged PRs, contributors, and feature progress. |
| Roadmap 2026 | The 2026 planning discussion for AI and hybrid search, query engine, storage, and data lake work. |
🧩 Components
Doris provides connectors and tools for common data engineering workflows.
- Doris Flink Connector
- Doris Spark Connector
- Doris Kafka Connector
- Doris Stream Loader
- Doris Kubernetes Operator
👨👩👧👦 Users
Apache Doris is used in production by thousands of companies worldwide across internet services, finance, retail, logistics, manufacturing, energy, telecommunications, AI, and other industries.
🙌 Contributors
Apache Doris graduated from the Apache Incubator and became an Apache Top-Level Project in June 2022. Thanks to all community contributors who help build Doris.
🌈 Community and Support
💬 Contact Us
🧰 Links
- Apache Doris official website: doris.apache.org
- X: @doris_apache
- Medium: @ApacheDoris
📜 License
Note
Some licenses of the third-party dependencies are not compatible with Apache 2.0 License. So you need to disable some Doris features to comply with Apache 2.0 License. For details, refer to the
thirdparty/LICENSE.txt