The paper mainly focuses on inverted index, which is one of the core technologies in search engine. The research topics in this paper include the inverted index organization, index construction, index compress, dynamic index maintenance, and storage technology.
本文主要围绕搜索引擎中核心技术之一的倒排索引技术进行展开,主要包括索引的组织结构,构建过程,压缩编码技术,动态更新技术,大规模数据存储技术等,其中以索引压缩、动态更新和大规模数据存储为研究重点,并在此基础上设计了一个用于实验环境的原型系统。
参考来源 - 搜索引擎中索引技术研究与实现·2,447,543篇论文数据，部分数据来源于NoteExpress
These conflicting operations include: compress, repack, shrink, alter, online index build, truncate, and drop.
这些冲突操作包括：压缩、重新打包、收缩、更改、在线索引构建、截断、以及删除。
In addition, Deep Compression was used to compress both table and index data.
此外，Deep Compression则被用于压缩表和索引数据。
An index set with compress YES is compressed when the index is created.
设置了COMPRESS YES的索引在创建时就进行压缩。
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