Gabriel
156bae0793
### What problem does this PR solve?
Issue Number: N/A
Problem Summary:
The native Parquet reader rejects every BOOLEAN dictionary page,
although PLAIN dictionaries with RLE_DICTIONARY or legacy
PLAIN_DICTIONARY data pages are valid. Reading a nullable BOOLEAN
interoperability fixture fails with `Boolean type cannot have a
dictionary page`.
Create the existing fixed-length dictionary decoder for BOOLEAN and
expand its LSB-first packed entries into tracked, contiguous one-byte
values for SerDe. Validate the packed extent before allocation and
preserve the common dictionary-index checks for reads, selections, and
skips.
The 257-byte interoperability fixture and synthetic tests cover byte
boundaries, invalid extents, dictionary replacement, both dictionary
encoding enums, V1/V2 pages, skipped/filtered values, and
dictionary-to-PLAIN transitions.
### Release note
Support reading dictionary-encoded BOOLEAN columns from Parquet files.
### Check List (For Author)
- Test
- [x] Regression test: S3 TVF reads compare against SQL literal rows,
covering predicates, aggregates, NULL alignment, and lazy
materialization on/off. Groovy compilation and a suite control-flow
check using the real FE variable manager pass, including settings
restoration after success or an injected failure; full SQL execution is
pending CI.
- [x] Unit Test: ASAN BE tests; all 199 tests in
`ParquetV2NativeDecoderTest.*:NewParquetReaderTest.*` pass. The five new
tests fail before the fix and pass after it.
- [ ] Manual test
- Behavior changed:
- [x] Yes. Valid BOOLEAN dictionaries are readable instead of being
rejected.
- Does this need documentation?
- [x] No. Compatibility fix for existing Parquet reads.
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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