- #JAVASCRIPT FULL TEXT SEARCH OF JSON QUERY RESULTS HOW TO#
- #JAVASCRIPT FULL TEXT SEARCH OF JSON QUERY RESULTS INSTALL#
The basic idea of this concept is to limit relevance by its context instead of calculating relevance through the whole distance of its corresponding document. A Contextual Search incredibly boost up queries to a complete new level but also requires some additional memory (depending on depth).
#JAVASCRIPT FULL TEXT SEARCH OF JSON QUERY RESULTS HOW TO#
Read here get more information about and how to enable.įlexSearch introduce a new scoring mechanism called Contextual Search which was invented by Thomas Wilkerling, the author of this library.
Note: This feature is disabled by default because of its extended memory usage. Operation per seconds, higher is better, except the test "Memory" on which lower is better. Run Comparison: Performance Benchmark "Gulliver's Travels" The Node.js package includes all features from .Ĭustomizable Charset/Language (Matcher, Encoder, Tokenizer, Stemmer, Filter, Split, RTL) Just exchange the version number from the URLs above with "master", e.g.: "/flexsearch/ 0.7.2/dist/" into "/flexsearch/ master/dist".
#JAVASCRIPT FULL TEXT SEARCH OF JSON QUERY RESULTS INSTALL#
Npm install flexsearch Get Latest Nightly (Do not use for production!) * The bundle "" includes polyfills for EcmaScript 5 Support. The /dist/module/ folder of this Github repository FlexSearch introduce a new scoring algorithm called "contextual index" based on a pre-scored lexical dictionary architecture which actually performs queries up to 1,000,000 times faster compared to other libraries.įlexSearch also provides you a non-blocking asynchronous processing model as well as web workers to perform any updates or queries on the index in parallel through dedicated balanced threads. When it comes to raw search speed FlexSearch outperforms every single searching library out there and also provides flexible search capabilities like multi-field search, phonetic transformations or partial matching.ĭepending on the used options it also provides the most memory-efficient index. Read the documentation of new language encoding features: Read the documentation of new features and changes:
This new version has a good compatibility with the old generation, but it might require some migrations steps in your code. The result is an improvement in every single aspect and covers tons of enhancements and improvements which was collected over the last 3 years. FlexSearch v0.7.0 is a modern re-implementation and was newly developed from the ground up. Web's fastest and most memory-flexible full-text search library with zero dependencies.
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