Veeam raises the bar with object storage and backup for Salesforce The Irish privacy authority wants to ban data transfers between Meta and the United States. ‘Facebook and Instagram will likely be unavailable in Europe’ Trusted security alerts have compromised admin consoles on over a dozen IP devices.Ī security advisory fo. MITRE security advisory accidentally exposes vulnerabilities Microsoft's Irish data centers will be feeding power into the national grid before the end of the year. Microsoft’s data centers will provide energy to power grids The Lucerne PMC expect to make progress on this in future 9.x releases. Developers should consider using Lucene 9 with the module system to be experimental. This required renaming some packages outside of the Lucene-core JAR, so developers will need to adjust some imports accordingly. In addition, file formats moved from big-endian order to little endian order.įinally, Lucene 9 no longer has split packages. The encoding of postings lists changed from FOR-delta to PFOR-delta to save further disk space. For example: where heuristics would incorrectly detect whether the system had modern I/O or not. This will likely improve indexing speed in some cases. This optimization used to be an opt-in in late 8.x releases and is now opt-out as of 9.0.ĬoncurrentMergeScheduler now assumes fast I/O. It is also several times faster sorting on points-indexed fields. Release 9.0 offers up to 400% faster taxonomy faceting, with 10-15% faster indexing of multi-dimensional points. There are significant performance improvements as well. There is also new normalization/stemming for Swedish and Norwegian Optimizations. Release 9.0 offers Snowball 2, adding Hindi, Indonesian, Nepali, Serbian, Tamil, and Yiddish stemmers. There is even an IME-friendly autosuggest for Japanese. The release also includes new Analyzers for Serbian, Nepali, and Tamil languages. The indexing uses the Hierarchical Navigable Small World graph algorithm. There is now support for indexing high-dimensionality numeric vectors to perform nearest-neighbor search. The hope is that this will help to enable work with the Java module system somewhere along the line. For example, it is the first release to provide JARs with automatically generated module names. Lucene 9.0 explores ways of supporting new usage scenarios and Java features. ![]() New scenarios and languages supported, with performance boosts It is a technology suitable for nearly any application that requires structured search, full-text search, faceting, nearest-neighbor search across high-dimensionality vectors, spell correction or query suggestions. Apache Lucene is a high-performance, full-featured search engine library written entirely in Java. The Lucene Project Management Committee (PMC) has announced the release of Apache Lucene 9.0.0. This latest release contains “numerous bug fixes, optimizations, and improvements.”
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