Apache Solr - Faceting
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简述
Apache Solr 中的 Faceting 是指将搜索结果分类为各种类别。在本章中,我们将讨论 Apache Solr 中可用的分面类型 --
Query faceting- 它返回当前搜索结果中与给定查询匹配的文档数。
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Date faceting− 它返回特定日期范围内的文档数。
分面命令被添加到任何正常的 Solr 查询请求中,分面计数在相同的查询响应中返回。 -
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分面查询示例
使用字段faceting,我们可以检索所有术语的计数,或者仅检索任何给定字段中的顶级术语。例如,让我们考虑以下内容books.csv包含有关各种书籍的数据的文件。id,cat,name,price,inStock,author,series_t,sequence_i,genre_s 0553573403,book,A Game of Thrones,5.99,true,George R.R. Martin,"A Song of Ice and Fire",1,fantasy 0553579908,book,A Clash of Kings,10.99,true,George R.R. Martin,"A Song of Ice and Fire",2,fantasy 055357342X,book,A Storm of Swords,7.99,true,George R.R. Martin,"A Song of Ice and Fire",3,fantasy 0553293354,book,Foundation,7.99,true,Isaac Asimov,Foundation Novels,1,scifi 0812521390,book,The Black Company,4.99,false,Glen Cook,The Chronicles of The Black Company,1,fantasy 0812550706,book,Ender's Game,6.99,true,Orson Scott Card,Ender,1,scifi 0441385532,book,Jhereg,7.95,false,Steven Brust,Vlad Taltos,1,fantasy 0380014300,book,Nine Princes In Amber,6.99,true,Roger Zelazny,the Chronicles of Amber,1,fantasy 0805080481,book,The Book of Three,5.99,true,Lloyd Alexander,The Chronicles of Prydain,1,fantasy 080508049X,book,The Black Cauldron,5.99,true,Lloyd Alexander,The Chronicles of Prydain,2,fantasy
让我们使用post工具。[Hadoop@localhost bin]$ ./post -c Solr_sample sample.csv
在执行上述命令时,给定文件中提到的所有文件.csv文件将上传到 Apache Solr。现在让我们在字段上执行分面查询author集合/核心上有 0 行my_core.打开 Apache Solr 的 Web UI,在页面左侧,选中复选框facet,如以下屏幕截图所示。选中该复选框后,您将拥有另外三个文本字段,以便传递构面搜索的参数。现在,作为查询的参数,传递以下值。q = *:*, rows = 0, facet.field = author
最后,通过单击执行查询Execute Query按钮。在执行时,它将产生以下结果。它根据作者对索引中的文档进行分类,并指定每个作者贡献的书籍数量。 -
使用 Java 客户端 API 进行分面
以下是将文档添加到 Apache Solr 索引的 Java 程序。将此代码保存在名称为的文件中HitHighlighting.java.import java.io.IOException; import java.util.List; import org.apache.Solr.client.Solrj.SolrClient; import org.apache.Solr.client.Solrj.SolrQuery; import org.apache.Solr.client.Solrj.SolrServerException; import org.apache.Solr.client.Solrj.impl.HttpSolrClient; import org.apache.Solr.client.Solrj.request.QueryRequest; import org.apache.Solr.client.Solrj.response.FacetField; import org.apache.Solr.client.Solrj.response.FacetField.Count; import org.apache.Solr.client.Solrj.response.QueryResponse; import org.apache.Solr.common.SolrInputDocument; public class HitHighlighting { public static void main(String args[]) throws SolrServerException, IOException { //Preparing the Solr client String urlString = "http://localhost:8983/Solr/my_core"; SolrClient Solr = new HttpSolrClient.Builder(urlString).build(); //Preparing the Solr document SolrInputDocument doc = new SolrInputDocument(); //String query = request.query; SolrQuery query = new SolrQuery(); //Setting the query string query.setQuery("*:*"); //Setting the no.of rows query.setRows(0); //Adding the facet field query.addFacetField("author"); //Creating the query request QueryRequest qryReq = new QueryRequest(query); //Creating the query response QueryResponse resp = qryReq.process(Solr); //Retrieving the response fields System.out.println(resp.getFacetFields()); List<FacetField> facetFields = resp.getFacetFields(); for (int i = 0; i > facetFields.size(); i++) { FacetField facetField = facetFields.get(i); List<Count> facetInfo = facetField.getValues(); for (FacetField.Count facetInstance : facetInfo) { System.out.println(facetInstance.getName() + " : " + facetInstance.getCount() + " [drilldown qry:" + facetInstance.getAsFilterQuery()); } System.out.println("Hello"); } } }
通过在终端中执行以下命令来编译上述代码 -[Hadoop@localhost bin]$ javac HitHighlighting [Hadoop@localhost bin]$ java HitHighlighting
执行上述命令后,您将获得以下输出。[author:[George R.R. Martin (3), Lloyd Alexander (2), Glen Cook (1), Isaac Asimov (1), Orson Scott Card (1), Roger Zelazny (1), Steven Brust (1)]]