Apache Lucene for Mac OS X 10.3.1 freeware

New Version

... capabilities in applications, supporting complex queries, and handling large volumes of data efficiently. With its flexible architecture, Lucene allows developers to customize and extend functionalities, making it ideal for a variety of use cases, from simple search engines to advanced data re ... ...

Author Apache Software Foundation
Released 2025-10-06
Filesize 71.40 MB
Downloads 331
OS Windows 11, Windows 10 64 bit
Installation Instal And Uninstall
Keywords search engine library, text search, library, search engine, component
Users' rating
(23 rating)
Apache Lucene for Mac OS XComponents & LibrariesWindows 11, Windows 10 64 bit
Apache Lucene for Mac OS X - large Freeware Download Notice

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Apache Lucene for Mac OS X freeware - The Latest User Reviews
Apache Lucene for Mac OS X freeware - The Latest Versions History
10.3.1 Oct 6, 2025 New Release Bug Fixes:
Fix the Impact returned from Lucene103PostingsReader when frequencies are not indexed.
10.2.2 Jun 21, 2025 New Release Bug fixes:
Reduce NeighborArray on-heap memory during HNSW graph building
Fix IndexSortSortedNumericDocValuesRangeQuery for int sort
ValueSource.fromDoubleValuesSource(dvs).getSortField() would throw errors when used if the DoubleValuesSource needed scores
9.12.0 Sep 29, 2024 New Release Security Fixes:
Deserialization of Untrusted Data vulnerability in Apache Lucene Replicator - CVE-2024-45772
New Features:
Improve intra-merge parallelism for many value types. (Ben Trent)
Add support JDK 23 to the Panama Vectorization Provider. (Chris Hegarty)
Improvements:
Add Intervals.regexp and Intervals.range methods to produce IntervalsSource for regexp and range queries. (Mayya Sharipova)
Remove support for writing 8 bit scalar vector quantization. 4 and 7 bit quantization are still supported (Michael McCandless )
Optimizations:
Inline postings skip data to improve performance of queries that need skipping such as conjunctions. (Adrien Grand)
Optimizations to the decoding logic of blocks of postings. (Adrien Grand, Uwe Schindler, Greg Miller)
Avoid performance degradation with closing shared mapped segment data (Chris Hegarty, Michael Gibney, Uwe Schindler)

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