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This introduces `TermsEnum#prepareSeekExact`, which essentially calls `IndexInput#prefetch` at the right offset for the given term. Then it takes advantage of the fact that `BooleanQuery` already calls `Weight#scorerSupplier` on all clauses, before later calling `ScorerSupplier#get` on all clauses. So `TermQuery` now calls `TermsEnum#prepareSeekExact` on `Weight#scorerSupplier` (if scores are not needed), which in-turn means that the I/O all terms dictionary lookups get parallelized across all term queries of a `BooleanQuery` on a given segment (intra-segment parallelism).
Apache Lucene
Apache Lucene is a high-performance, full-featured text search engine library written in Java.
Online Documentation
This README file only contains basic setup instructions. For more comprehensive documentation, visit:
- Latest Releases: https://lucene.apache.org/core/documentation.html
- Nightly: https://ci-builds.apache.org/job/Lucene/job/Lucene-Artifacts-main/javadoc/
- New contributors should start by reading Contributing Guide
- Build System Documentation: help/
- Migration Guide: lucene/MIGRATE.md
Building
Basic steps:
- Install OpenJDK 21.
- Clone Lucene's git repository (or download the source distribution).
- Run gradle launcher script (
gradlew).
We'll assume that you know how to get and set up the JDK - if you don't, then we suggest starting at https://jdk.java.net/ and learning more about Java, before returning to this README.
Contributing
Bug fixes, improvements and new features are always welcome! Please review the Contributing to Lucene Guide for information on contributing.
- Additional Developer Documentation: dev-docs/
Discussion and Support
- Users Mailing List
- Developers Mailing List
- IRC:
#luceneand#lucene-devon freenode.net