New streaming expressions such as "fetch", "executor", and "commit" added.
Parallel SQL accepts <, >, =, etc., symbols.
Support facet scoring with the scoreNodes expression
Retrieving docValues as stored values was sped up by using the proper leaf reader rather than ask for a global view. In extreme cases, this leads to a 100x speedup.
Apache Lucene 6.3.0 发布，Java 搜索引擎
Apache Lucene 6.3.0 发布了。
Lucene 是apache软件基金会一个开放源代码的全文检索引擎工具包，是一个全文检索引擎的架构，提供了完整的查询引擎和索引引擎，部分文本分析引擎。Lucene的目的是为软件开发人员提供一个简单易用的工具包，以方便的在目标系统中实现全文检索的功能，或者是以此为基础建立起完整的全文检索引擎。 Lucene最初是由Doug Cutting所撰写的，是一位资深全文索引/检索专家，曾经是V-Twin搜索引擎的主要开发者，后来在Excite担任高级系统架构设计师，目前从事 于一些INTERNET底层架构的研究。他贡献出Lucene的目标是为各种中小型应用程式加入全文检索功能。
更新内容：
Optimize, store and deploy AI models in Solr
Ability to add custom streaming expressions
New streaming expressions such as "fetch", "executor", and "commit" added.
Parallel SQL accepts <, >, =, etc., symbols.
Support facet scoring with the scoreNodes expression
Retrieving docValues as stored values was sped up by using the proper leaf reader rather than ask for a global view. In extreme cases, this leads to a 100x speedup.
更多内容及下载地址：http://lucene.apache.org/