标签:Lucene style blog http color io os 使用 ar
Solr facet使用于分类统计,是最好的工具。下面例子使用facet将可模拟查询搜索出租房信息。
1、在schema.xml中的内容如下:
<?xml version="1.0" ?> <schema name="my core" version="1.1"> <fieldtype name="string" class="solr.StrField" sortMissingLast="true" omitNorms="true"/> <fieldType name="long" class="solr.TrieLongField" precisionStep="0" positionIncrementGap="0"/> <fieldType name="tdate" class="solr.TrieDateField" precisionStep="6" positionIncrementGap="0"/> <fieldType name="int" class="solr.TrieIntField" precisionStep="0" positionIncrementGap="0"/> <fieldType name="float" class="solr.TrieFloatField" precisionStep="0" positionIncrementGap="0"/> <fieldType name="double" class="solr.TrieDoubleField" precisionStep="0" positionIncrementGap="0"/> <fieldType name="boolean" class="solr.BoolField" sortMissingLast="true"/> <fieldtype name="binary" class="solr.BinaryField"/> <fieldType name="text_cn" class="solr.TextField"> <analyzer type="index" class="org.wltea.analyzer.lucene.IKAnalyzer" /> <analyzer type="query" class="org.wltea.analyzer.lucene.IKAnalyzer" /> <analyzer> <tokenizer class="solr.KeywordTokenizerFactory"/> <filter class="solr.LowerCaseFilterFactory"/> </analyzer> </fieldType> <!-- general --> <field name="id" type="long" indexed="true" stored="true" multiValued="false" required="true"/> <field name="subject" type="text_cn" indexed="true" stored="true" /> <field name="content" type="text_cn" indexed="true" stored="true" /> <field name="regionId" type="int" indexed="true" stored="true" /> <field name="region" type="text_cn" indexed="true" stored="true" /> <field name="categoryId" type="int" indexed="true" stored="true" /> <field name="category" type="text_cn" indexed="true" stored="true" /> <field name="price" type="float" indexed="true" stored="true" /> <field name="_version_" type="long" indexed="true" stored="true"/> <!-- field to use to determine and enforce document uniqueness. --> <uniqueKey>id</uniqueKey> <!-- field for the QueryParser to use when an explicit fieldname is absent --> <defaultSearchField>subject</defaultSearchField> <!-- SolrQueryParser configuration: defaultOperator="AND|OR" --> <solrQueryParser defaultOperator="OR"/> </schema>
2、Java bean:
package com.my.entity; import org.apache.solr.client.solrj.beans.Field; public class Item { @Field private long id; @Field private String subject; @Field private String content; @Field private int regionId; @Field private int categoryId; @Field private float price; public long getId() { return id; } public void setId(long id) { this.id = id; } public String getSubject() { return subject; } public void setSubject(String subject) { this.subject = subject; } public String getContent() { return content; } public void setContent(String content) { this.content = content; } public int getRegionId() { return regionId; } public void setRegionId(int regionId) { this.regionId = regionId; } public int getCategoryId() { return categoryId; } public void setCategoryId(int categoryId) { this.categoryId = categoryId; } public float getPrice() { return price; } public void setPrice(float price) { this.price = price; } }
3、使用solrj测试例子:
package com.my.solr; import java.io.IOException; import java.util.ArrayList; import java.util.HashMap; import java.util.List; import org.apache.solr.client.solrj.SolrQuery; import org.apache.solr.client.solrj.SolrQuery.ORDER; import org.apache.solr.client.solrj.SolrQuery.SortClause; import org.apache.solr.client.solrj.SolrServerException; import org.apache.solr.client.solrj.impl.HttpSolrServer; import org.apache.solr.client.solrj.impl.XMLResponseParser; 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.params.FacetParams; import com.my.entity.Item; public class TestSolr { private static HashMap<Integer, String> mapRegion = new HashMap<Integer, String>(); private static HashMap<Integer, String> mapCategory = new HashMap<Integer, String>(); public static void main(String[] args) throws IOException, SolrServerException { // ------------------------------------------------------ // Set map // ------------------------------------------------------ mapRegion.put(1, "罗湖区"); mapRegion.put(2, "南山区"); mapRegion.put(3, "龙岗区"); mapRegion.put(4, "福田区"); mapCategory.put(1, "单间"); mapCategory.put(2, "2房1厅"); mapCategory.put(3, "3房2厅"); mapCategory.put(4, "1房1厅"); String url = "http://localhost:8899/solr/mycore"; HttpSolrServer core = new HttpSolrServer(url); core.setMaxRetries(1); core.setConnectionTimeout(5000); core.setParser(new XMLResponseParser()); // binary parser is used by // default core.setSoTimeout(1000); // socket read timeout core.setDefaultMaxConnectionsPerHost(100); core.setMaxTotalConnections(100); core.setFollowRedirects(false); // defaults to false core.setAllowCompression(true); // ------------------------------------------------------ // remove all data // ------------------------------------------------------ core.deleteByQuery("*:*"); List<Item> items = new ArrayList<Item>(); items.add(makeItem(items.size() + 1, "龙城公寓一房一厅", "豪华城城公寓1房1厅,拧包入住", 1, 1, 1200f)); items.add(makeItem(items.size() + 1, "兴新宿舍楼 1室0厅", " 中等装修 招女性合租", 1, 1, 1000f)); items.add(makeItem(items.size() + 1, "西丽新屋村新宿舍楼单间", " 无敌装修只招女性", 2, 1, 1000f)); items.add(makeItem(items.size() + 1, "大芬村信和爱琴居地铁口2房1厅", " 地铁口 + 出行便利=居家首选", 3, 2, 2000f)); items.add(makeItem(items.size() + 1, "龙岗富豪花园3房2厅出租", " 离地铁口只要5分钟,快来秒杀吧", 3, 3, 4500f)); items.add(makeItem(items.size() + 1, "海景房园3房2厅出租", "无敌海景,可以看到伦敦", 4, 3, 8500f)); items.add(makeItem(items.size() + 1, "天域花园1房1厅出租", "男女不限,入住免水电一月", 2, 4, 1500f)); items.add(makeItem(items.size() + 1, "神一样的漂亮,玉馨山庄3房2厅", "心动不如行动,拧包即可入住,来吧!", 1, 3, 9500f)); items.add(makeItem(items.size() + 1, "玉馨山庄2房1厅,情侣最爱", "宅男宅女快来吧只要2500,走过路过,别再错过", 1, 2, 2500f)); items.add(makeItem(items.size() + 1, "天域花园3房2厅出租", "都来看看,都来瞄瞄,3房只要7500.", 4, 3, 7500f)); items.add(makeItem(items.size() + 1, "深都花园出租3房2厅", "找爱干净的人氏,全新装修", 4, 3, 5200f)); core.addBeans(items); // commit core.commit(); // ------------------------------------------------------ // search // ------------------------------------------------------ SolrQuery query = new SolrQuery(); query.setQuery("*:*"); query.setStart(0); // query的开始行数(分页使用) query.setRows(100); // query的返回行数(分页使用) query.setFacet(true); // 设置使用facet query.setFacetMinCount(1); // 设置facet最少的统计数量 query.setFacetLimit(10); // facet结果的返回行数 query.addFacetField("categoryId", "regionId"); // facet的字段 query.setFacetSort(FacetParams.FACET_SORT_COUNT); query.addSort(new SortClause("id", ORDER.asc)); // 排序 QueryResponse response = core.query(query); List<Item> items_rep = response.getBeans(Item.class); List<FacetField> facetFields = response.getFacetFields(); // 因为上面的start和rows均设置为0,所以这里不会有query结果输出 System.out.println("--------------------"); System.out.println("Search result:"); for (Item item : items_rep) { System.out.println("id=" + item.getId() + "\tsubject=" + item.getSubject() + "\tregion=" + mapRegion.get(item.getRegionId()) + "\tcategory=" + mapCategory.get(item.getCategoryId()) + "\tprice=" + item.getPrice()); } // 打印所有facet for (FacetField ff : facetFields) { System.out.println("--------------------"); System.out.println("name=" + ff.getName() + "\tcount=" + ff.getValueCount()); System.out.println("--------------------"); switch (ff.getName()) { case "regionId": printOut(mapRegion, ff.getValues()); break; case "categoryId": printOut(mapCategory, ff.getValues()); break; } } } @SuppressWarnings({ "rawtypes" }) private static void printOut(HashMap map, List<Count> counts) { for (Count count : counts) { System.out.println("name=" + map.get(Integer.parseInt(count.getName())) + "\tcount=" + count.getCount()); } System.out.println("--------------------"); } private static Item makeItem(long id, String subject, String content, int regionId, int categoryId, float price) { Item item = new Item(); item.setId(id); item.setSubject(subject); item.setContent(content); item.setRegionId(regionId); item.setCategoryId(categoryId); item.setPrice(price); return item; } }
运行结果:
如果把测试例子中的这句query:
query.setQuery("*:*");
修改为:
query.setQuery("subject:*出租* && price:[1000 TO 8000]");
运行结果将为:
如果将:
query.setFacetMinCount(1); // 设置facet最少的统计数量
修改为:
query.setFacetMinCount(0); // 设置facet最少的统计数量
运行结果为:
比较上面两个运行结果图可以看出,这个setFacetMinCount(...)方法是过滤将最少统计量的数据
当然,也可以使用solr admin的浏览器地址栏进行访问查询:
http://localhost:8899/solr/mycore/select?q=subject:*出租* AND price :[1000 TO 8000]&wt=json&indent=true&facet=true&facet.field=categoryId&facet.field=regionId&facet.sort=count
运行输出:
标签:Lucene style blog http color io os 使用 ar
原文地址:http://www.cnblogs.com/HD/p/3998321.html