Lucene 4.3 - Facet demo
package com.fox.facet; import java.io.IOException;
import java.util.ArrayList;
import java.util.List; import org.apache.lucene.analysis.core.WhitespaceAnalyzer;
import org.apache.lucene.document.Document;
import org.apache.lucene.facet.index.FacetFields;
import org.apache.lucene.facet.params.FacetSearchParams;
import org.apache.lucene.facet.search.CountFacetRequest;
import org.apache.lucene.facet.search.DrillDownQuery;
import org.apache.lucene.facet.search.FacetResult;
import org.apache.lucene.facet.search.FacetsCollector;
import org.apache.lucene.facet.taxonomy.CategoryPath;
import org.apache.lucene.facet.taxonomy.TaxonomyReader;
import org.apache.lucene.facet.taxonomy.directory.DirectoryTaxonomyReader;
import org.apache.lucene.facet.taxonomy.directory.DirectoryTaxonomyWriter;
import org.apache.lucene.index.DirectoryReader;
import org.apache.lucene.index.IndexWriter;
import org.apache.lucene.index.IndexWriterConfig;
import org.apache.lucene.search.IndexSearcher;
import org.apache.lucene.search.MatchAllDocsQuery;
import org.apache.lucene.store.Directory;
import org.apache.lucene.store.RAMDirectory;
import org.apache.lucene.util.Version; /*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You under the Apache License, Version 2.0
* (the "License"); you may not use this file except in compliance with
* the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/ /** Shows simple usage of faceted indexing and search. */
public class SimpleFacetsExample { private final Directory indexDir = new RAMDirectory();
private final Directory taxoDir = new RAMDirectory(); /** Empty constructor */
public SimpleFacetsExample() {
} private void add(IndexWriter indexWriter, FacetFields facetFields, String... categoryPaths) throws IOException {
Document doc = new Document(); List<CategoryPath> paths = new ArrayList<CategoryPath>();
for (String categoryPath : categoryPaths) {
paths.add(new CategoryPath(categoryPath, '/'));
}
facetFields.addFields(doc, paths);
indexWriter.addDocument(doc);
} /** Build the example index. */
private void index() throws IOException {
IndexWriter indexWriter = new IndexWriter(indexDir, new IndexWriterConfig(Version.LUCENE_43, new WhitespaceAnalyzer(
Version.LUCENE_43))); // Writes facet ords to a separate directory from the main index
DirectoryTaxonomyWriter taxoWriter = new DirectoryTaxonomyWriter(taxoDir); // Reused across documents, to add the necessary facet fields
FacetFields facetFields = new FacetFields(taxoWriter); add(indexWriter, facetFields, "Author/Bob", "Publish Date/2010/10/15");
add(indexWriter, facetFields, "Author/Lisa", "Publish Date/2010/10/20");
add(indexWriter, facetFields, "Author/Lisa", "Publish Date/2012/1/1");
add(indexWriter, facetFields, "Author/Susan", "Publish Date/2012/1/7");
add(indexWriter, facetFields, "Author/Frank", "Publish Date/1999/5/5"); indexWriter.close();
taxoWriter.close();
} /** User runs a query and counts facets. */
private List<FacetResult> search() throws IOException {
DirectoryReader indexReader = DirectoryReader.open(indexDir);
IndexSearcher searcher = new IndexSearcher(indexReader);
TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoDir); // Count both "Publish Date" and "Author" dimensions
FacetSearchParams fsp = new FacetSearchParams(new CountFacetRequest(new CategoryPath("Publish Date"), 10),
new CountFacetRequest(new CategoryPath("Author"), 10)); // Aggregatses the facet counts
FacetsCollector fc = FacetsCollector.create(fsp, searcher.getIndexReader(), taxoReader); // MatchAllDocsQuery is for "browsing" (counts facets
// for all non-deleted docs in the index); normally
// you'd use a "normal" query, and use MultiCollector to
// wrap collecting the "normal" hits and also facets:
searcher.search(new MatchAllDocsQuery(), fc); // Retrieve results
List<FacetResult> facetResults = fc.getFacetResults(); indexReader.close();
taxoReader.close(); return facetResults;
} /** User drills down on 'Publish Date/2010'. */
private List<FacetResult> drillDown() throws IOException {
DirectoryReader indexReader = DirectoryReader.open(indexDir);
IndexSearcher searcher = new IndexSearcher(indexReader);
TaxonomyReader taxoReader = new DirectoryTaxonomyReader(taxoDir); // Now user drills down on Publish Date/2010:
FacetSearchParams fsp = new FacetSearchParams(new CountFacetRequest(new CategoryPath("Author"), 10));
DrillDownQuery q = new DrillDownQuery(fsp.indexingParams, new MatchAllDocsQuery());
q.add(new CategoryPath("Publish Date/2010", '/'));
FacetsCollector fc = FacetsCollector.create(fsp, searcher.getIndexReader(), taxoReader);
searcher.search(q, fc); // Retrieve results
List<FacetResult> facetResults = fc.getFacetResults(); indexReader.close();
taxoReader.close(); return facetResults;
} /** Runs the search example. */
public List<FacetResult> runSearch() throws IOException {
index();
return search();
} /** Runs the drill-down example. */
public List<FacetResult> runDrillDown() throws IOException {
index();
return drillDown();
} /** Runs the search and drill-down examples and prints the results. */
public static void main(String[] args) throws Exception {
System.out.println("Facet counting example:");
System.out.println("-----------------------");
List<FacetResult> results = new SimpleFacetsExample().runSearch();
for (FacetResult res : results) {
System.out.println(res);
} System.out.println("\n");
System.out.println("Facet drill-down example (Publish Date/2010):");
System.out.println("---------------------------------------------");
results = new SimpleFacetsExample().runDrillDown();
for (FacetResult res : results) {
System.out.println(res);
}
} }
Result:
Facet counting example:
-----------------------
Request: Publish Date nRes=10 nLbl=10
Num valid Descendants (up to specified depth): 3
Publish Date (0.0)
Publish Date/2012 (2.0)
Publish Date/2010 (2.0)
Publish Date/1999 (1.0)
Request: Author nRes=10 nLbl=10
Num valid Descendants (up to specified depth): 4
Author (0.0)
Author/Lisa (2.0)
Author/Frank (1.0)
Author/Susan (1.0)
Author/Bob (1.0) Facet drill-down example (Publish Date/2010):
---------------------------------------------
Request: Author nRes=10 nLbl=10
Num valid Descendants (up to specified depth): 2
Author (0.0)
Author/Lisa (1.0)
Author/Bob (1.0)
Lucene 4.3 - Facet demo的更多相关文章
- Lucene 4.8 - Facet Demo
package com.fox.facet; /* * Licensed to the Apache Software Foundation (ASF) under one or more * con ...
- lucene 4.0 - Facet demo
package com.fox.facet; import java.io.File; import java.io.IOException; import java.util.ArrayList; ...
- lucene搜索之facet查询原理和facet查询实例——TODO
转自:http://www.lai18.com/content/7084969.html Facet说明 我们在浏览网站的时候,经常会遇到按某一类条件查询的情况,这种情况尤以电商网站最多,以天猫商城为 ...
- (一)Lucene简介以及索引demo
一.百度百科 Lucene是apache软件基金会4 jakarta项目组的一个子项目,是一个开放源代码的全文检索引擎工具包,但它不是一个完整的全文检索引擎,而是一个全文检索引擎的架构,提供了完整的查 ...
- Facet with Lucene
Facets with Lucene Posted on August 1, 2014 by Pascal Dimassimo in Latest Articles During the develo ...
- lucene 索引 demo
核心util /** * Alipay.com Inc. * Copyright (c) 2004-2015 All Rights Reserved/ */ package com.lucene.de ...
- MVC+MQ+WinServices+Lucene.Net Demo
前言: 我之前没有接触过Lucene.Net相关的知识,最近在园子里看到很多大神在分享这块的内容,深受启发.秉着“实践出真知”的精神,再结合公司项目的实际情况,有了写一个Demo的想法,算是对自己能力 ...
- Lucene系列-facet
1.facet的直观认识 facet:面.切面.方面.个人理解就是维度,在满足query的前提下,观察结果在各维度上的分布(一个维度下各子类的数目). 如jd上搜“手机”,得到4009个商品.其中品牌 ...
- lucene 4.4 demo
ackage com.zxf.demo; import java.io.BufferedReader; import java.io.File; import java.io.FileInputStr ...
随机推荐
- 20155219 2016-2017-2 《Java程序设计》第3周学习总结
20155219 2016-2017-2 <Java程序设计>第3周学习总结 教材学习内容总结 数组问题 -Scanner实例,猜数字. package src.week1; import ...
- ps教程
http://www.16xx8.com/photoshop/xinshoujiaocheng/
- HDU 2048:神、上帝以及老天爷(错排公式,递推)
神.上帝以及老天爷 Time Limit: 2000/1000 MS (Java/Others) Memory Limit: 65536/32768 K (Java/Others) Total ...
- <--------------------------Java接口如何使用------------------------------>
关键词:interface --->接口 implements--->实现 1接口的概念 接口是功能的集合,同样可看做是一种数据类型,是比抽象类更为抽象的”类”. 接口只描述所应 ...
- hermes kafka 转http rest api 的broker 工具
hermes 与nakadi 是类似的工具,但是设计模型有很大的差异,hermes 使用的是webhook的模式(push) nakadi 使用的是pull(event stream),各有自己解决的 ...
- mysql-sql语言参考
字段去重查询 select distinct style from music 批量修改某字段 update music set style = "ost" where styl ...
- .Net Core 应用方向 图谱
.Net Core 应用方向 图谱, 如下图 : 大规模并行计算 是 大数据 和 人工智能 的 基础, 是 未来 大计算能力 的 基础, 网格计算 是 未来 大计算能力 的 一个 分支 . 所以, ...
- mongodb之 复制集维护小结
原文地址:https://www.cnblogs.com/zhaowenzhong/p/5667312.html 一.新增副本集成员 1.登录primary 2.use admin >rs.ad ...
- Zuul 限流
/** * 限流 */ @Component public class RateLimiterFilter extends ZuulFilter { //1秒钟100个令牌 private stati ...
- windows系统如何设置域名解析
C:\Windows\System32\drivers\etc