faceting

break down by different criteria. No surprises or dead ends-users know how many results match before they click. values with zero counts are normally removed to reduce visual noise and eliminate the possibility of a user accidentally selecting a constraint that wowould lead to no results. No selection hierarchy is imposed-users are generally free to add or remove constraints in any order. Implementing faceting with SOLRIt's relatively s

Terms is identified by a unique ordinal number Important for sorting, you only need to compare numbers, not strings Very important for faceting (faceted search) The strength of Lucene Index (index intersection)Many databases do not support using multiple indexes at the same time, but Lucene supports Lucene maintains a skip list (Wiki) for postings lists, and if you want to search for "

prefix21. Facet. enum. cache. mindf : When faceting by enumerating the terms in a field, only use the filtercache for terms with a DF> = to this parameter22. Facet. Date : Any field whose terms the user wants to enumerate over for facet contraint counts (multi-value)23.Facet. Date. Start : Date string indicating the starting point for a date facet range. can be overriden on a per field basis24. Facet. Date. End : Date string indicating the endinging

This is a creation in Article, where the information may have evolved or changed. Marty Schoch (@mschoch) is a engineer at Couchbase, maker of the High-performance NoSQL distributed database of the same Name. Working with Go for almost 2 and half years, he had been using it to prototype new solutions at Couchbase. This talk introduces Bleve, a text search indexing the library for Go. The slides for this talk has been posted here. Bleve (pronounced Bleh-vee) is a modern the text indexing library

Solandra can be seen from the alias. In fact, it integrates the real-time search engine program of SOLR and Cassandra. Its features are as follows: Supports most of SOLR's default features (search, faceting, and highlights) Data replication, sharding, caching, and compression are all performed by Cassandra. Multi-master (any node can be read and written) High real-time performance. You can read it after the write operation is completed. Easily a

Official website: http://nutch.apache.org/3. Distributed Search engine ElasticSearchElasticsearch is a distributed search engine based on the Lucene framework, and is one of the few search engines that are indexed based on JSON. The Elasticsearch is particularly suitable for use on cloud computing platforms.Official website: http://www.elasticsearch.org/4. Real-time distributed search engine SolandraSolandra is a real-time, distributed search engine built on Apache SOLR and Apache Cassandr

Label:Now there is a search for any system, and the search world has the famous Three musketeers: Solr/elasticsearch/sphinx Solr/elasticsearch for the same class, are based on the development of Lucene products, I also as early as a few years ago used SOLR to do similar products in Zhongguancun search, faceting function is very useful. Recently on hand there is another project to build a search, because a few years did not touch SOLR, now once again o

(kanji, pinyin, abbre), and the multivalued property of field is set to True to resolve the polyphone composition of the same keyword. The configuration is as follows:Schema.xml:Keywordtokenizerfactory: This word breaker does not make any participle! The entire character stream becomes a single word element. The string field type also has a similar effect, but it cannot configure other processing components of text parsing, such as case conversions. Any index field used for sorting and most

engine built on Apache SOLR and Apache Cassandra.The characteristics are as follows: Support for most of SOLR's default features (search, faceting, highlights) Data replication, sharding, caching and compression These are all made by Cassandra. Multi-master (any node is available for reading and writing) High-real-time, write operation is completed to read Easily add new Solrcores w/o restart across the cluster easy adding an

aren't too many different values in the general domain, right?). )。 So we're introducing a different query command that combines a single simple query with a filter.{ "query" : { "filtered" : { "query" : { "term" : { "name" : "joe" } }, "filter" : { "term" : { "year" : 1981 } } } }}We used a query object of the filtered type, and the query object included both the query element and the filter element. After running the query command for the first time, Elasti

I. Building SOLR Services (standalone) simple, three-step solution1. Download solr-5.3.1.tgz, unzip the file2. Create a folder under the./SOLR-5.3.1/SERVER/SOLR directory as a place to store the core3. Copy the Conf under the./solr-5.3.1/server/solr/configsets/sample_techproducts_configs/to the folder under the second step.Start SOLR on the go ...two. SOLR configuration file Schame.xml Learning1.fieldName:mandatory-the name for the fieldType:mandatory-the Name of a field type from the Indexed:tr

/java/solr/search-function-query-effect-result-order SOLR in Action note (2) scoring mechanism (similarity calculation) http://www.cnblogs.com/rcfeng/p/4067896.html related searches, spell-checking, spellcheck. SOLR Baidu Related search similar function implementation http://www.sxt.cn/u/2715/blog/4240 SOLR Search configuration associated word synonyms. http://my.oschina.net/baowenke/blog/104019 A little trial of SOLR's spellcheck. Http://blog.chenlb.com/200

into account the frequency with which the user is searching for words, so it is not possible to rank some of the hot words in a more forward position. As a result, we continue to look for a more elegant solution to this problem.At this point, we consider establishing an index collection specifically for the keyword, using the SOLR prefix query implementation. The Copyfield in SOLR solves the need to index multiple fields at the same time (kanji, pinyin, abbre), and the multivalued property of f

Rest interface Now that we have a functioning node (and cluster), the next step is to understand how to communicate with it. Fortunately, Elasticsearch provides a very comprehensive and powerful rest API that allows you to interact with your cluster using this REST API. Here are a few things you can do with this API: 1, check your cluster, node and index health status and various statistical information2. Manage your clusters, nodes, index data, and meta data3. CRUD (Create, read, update, dele

：Https://github.com/mausch/SolrNet Solrnet does not attempt to abstract much over SOLR, it's assumed that you know what SOLR are and how to use it, just as Yo U need to know relational databases before using an ORM.If you ' re not familiar with SOLR, take your time to follow the SOLR tutorial, see the FAQ and the docs. Consider getting a book. Documentation Index Overview and Basic usage Mapping Initialization Create/update/delete Querying

index field used for sorting and most faceting functions, this index field can only have one word element in the original domain value.Prefix query constructs:private SolrQuery getSuggestQuery(String prefix, Integer limit) { new SolrQuery(); new StringBuilder(); sb.append(“suggest:").append(prefix).append("*"); solrQuery.setQuery(sb.toString()); solrQuery.addField("kw"); solrQuery.addField("kwfreq"); solrQuery.addSort("kwfreq", S

files Provide high-quality search results operate at minimal cost Official website: http://nutch.apache.org/3. Distributed Search engine ElasticSearchElasticsearch is a distributed search engine based on the Lucene framework, and is one of the few search engines that are indexed based on JSON. The Elasticsearch is particularly suitable for use on cloud computing platforms.Official website: http://www.elasticsearch.org/4. Real-time distributed search engine SolandraSolandra is a rea

search engine built on Apache SOLR and Apache Cassandra. The characteristics are as follows: Support for most of SOLR's default features (search, faceting, highlights) Data replication, sharding, caching and compression These are all made by Cassandra. Multi-master (any node is available for reading and writing) High-real-time, write operation is completed to read Easily add new Solrcores w/o restart across the cluster easy

that satisfy the query sequentially. Group contrast facet The concept of group and facet is very similar, it is used to group. Facets return all relevant results and allow the user to redefine the result set based on the facet's catalog. Facets can filter the number of groups, as well as sorting, and date range, time range groupings, but if you want to get specific data, you need to query one or more times. Group can get the number of groups grouped, one request, can get all the data. Group and

docvalues Introduction Lucene index storage is generally in the way of Inverted zipper (term-doc), but in the search related function processing, such as sorting, highlighting, summary information acquisition, through the document DOCID to find the corresponding positive row information, in Lucene4.0, A new field type, Docvalue, is introduced, which is a column-based field that has a mapping of the document-to-value (Document-to-value) that was built at the time of the index. This method ensure