[solr] - defType - 查询权重排序

Solr的defType有dismax/edismax两种，这两种的区别，可参见：http://blog.csdn.net/duck_genuine/article/details/8060026

 

下面示例用于演示如下场景：

有一网站，在用户查询的结果中，需要按这样排序：

1. VIP的付费信息需要排在免费信息的前头
2. 点击率越高越靠前
3. 发布时间越晚的越靠前

 

这样的查询排序使用普通的查询结果的Order by是做不到的，必需使用solr的defType。

 

做法：

1、先看schema.xml的定义：

xml version="1.0" ?>
<schema name="sample5" 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" useSmart="false" />
        <analyzer type="query" class="org.wltea.analyzer.lucene.IKAnalyzer" useSmart="true" />
        <analyzer>
            <tokenizer class="solr.KeywordTokenizerFactory"/>
            <filter class="solr.LowerCaseFilterFactory" ignoreCase="true"/>
        analyzer>
    fieldType>
    
    
    <fields>
        <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="createTime" type="tdate" indexed="true" stored="true" />
        <field name="point" type="long" indexed="true" stored="true" />
        <field name="vip" type="boolean" indexed="true" stored="true" />
        <field name="_version_" type="long" indexed="true" stored="true"/>
        <field name="searchText" type="text_cn" indexed="true" stored="false" multiValued="true" />
    fields>
    
    <copyField source="subject" dest="searchText" />
    <copyField source="content" dest="searchText" />
    <copyField source="region" dest="searchText" />
    <copyField source="category" dest="searchText" />
    
     
     <uniqueKey>iduniqueKey>

     
     <defaultSearchField>searchTextdefaultSearchField>

     
     <solrQueryParser defaultOperator="AND"/>
schema>

说明：

a)里头定义了一个copyField：searchText，此字段为：subject+content+region+category，并把这个字段设置为默认查询字段。意思是查询时，默认查询四个字段的内容。

b)把solrQueryParser设置为AND，事实上，大多情况下，我们是习惯使用AND为条件查询，而非OR

c)text_cn字段类型中的：useSmart

        <analyzer type="index" class="org.wltea.analyzer.lucene.IKAnalyzer" useSmart="false" />
        <analyzer type="query" class="org.wltea.analyzer.lucene.IKAnalyzer" useSmart="true" />

意思是：useSmart =true ，分词器使用智能切分策略， =false则使用细粒度切分。详细，可下载IK分词器的源码看看。

 

2、加入一个查询Handler到solrconfig.xml的当中：

    <requestHandler name="/browse" class="solr.SearchHandler" default="true" >
        <lst name="defaults">
            <str name="defType">edismaxstr>
            <str name="bf">
                sum(linear(vip,1000,0),linear(sqrt(log(linear(point,1,2))),100,0),sqrt(log(ms(createTime))))
            str>
            
        lst>
    requestHandler>

说明：

a)上面的default="true"意思为设置为默认的查询handler（记得把原standard中的default="true"删除掉）

b)见已经被注释的这段：

这是简单的不使用bf的排序加权方式，可以用于应付简单的排序，具体pf/qf的使用，可以上网上搜搜应用。这里演示的功能相对“复杂”，不适用它。

c)见这句公式：

sum(linear(vip,1000,0),linear(sqrt(log(linear(point,1,2))),100,0),sqrt(log(ms(createTime))))

公式中的函数定义和意思，可以参考： 

官方文档：

http://wiki.apache.org/solr/FunctionQuery

中文说明：

http://mxsfengg.iteye.com/blog/352191

这里的函数意思是：

• 如果是vip信息=值+1000，非vip信息=值+0
• 点击率(point)的值范围为：50~500之间
• 发布时间(createTime)值范围为：50以内

以上三个值相加得出最统权重分从高到低排序

 

3、Java bean:

package com.my.entity;

import java.util.Date;

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;
    @Field
    private Date createTime;
    @Field
    private long point;
    @Field
    private boolean vip;
    
    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;
    }
    public Date getCreateTime() {
        return createTime;
    }
    public void setCreateTime(Date createTime) {
        this.createTime = createTime;
    }
    public long getPoint() {
        return point;
    }
    public void setPoint(long point) {
        this.point = point;
    }
    public boolean isVip() {
        return vip;
    }
    public void setVip(boolean vip) {
        this.vip = vip;
    }
}

 

4、Java测试代码：

package com.my.solr;

import java.io.IOException;
import java.util.ArrayList;
import java.util.Calendar;
import java.util.Date;
import java.util.HashMap;
import java.util.Iterator;
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.AnalysisParams;
import org.apache.solr.common.params.CommonParams;
import org.apache.solr.common.params.FacetParams;
import org.apache.solr.common.util.NamedList;
import org.apache.solr.common.util.SimpleOrderedMap;

import com.my.entity.Item;

public class TestSolr {
    private static HashMap mapRegion = new HashMap();
    private static HashMap mapCategory = new HashMap();

    @SuppressWarnings("unchecked")
    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:8983/solr/sample5";
        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 items = new ArrayList();
        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, 10, false));
        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, 11, false));
        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, 2, true));
        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, 5, false));
        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, 21, true));
        items.add(makeItem(items.size() + 1, "海景房园3房2厅出租", "海景房园出租，无敌海景，可以看到伦敦", 4, 3, 8500f, 12, false));
        items.add(makeItem(items.size() + 1, "天域花园1房1厅", "天域花园，男女不限，入住免水电一月", 2, 4, 1500f, 13, true));
        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, 8, false));
        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, 5, false));
        items.add(makeItem(items.size() + 1, "天域花园3房2厅", "天域花园出租，都来看看，都来瞄瞄，3房出租只要7500.", 4, 3, 7500f, 6, true));
        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, 31, false));
        items.add(makeItem(items.size() + 1, "This is Mobile test", "haha Hello world!", 4, 3, 1200f, 31, false));
        core.addBeans(items);
        // commit
        core.commit();
        
        // ------------------------------------------------------
        // Set search text
        // ------------------------------------------------------
        String searchText = AnalysisSearchText(core, "出租花园"); //subject:*出租* && price:[1000 TO 8000]
        System.out.println("Search Text:" + searchText);
        
        // ------------------------------------------------------
        // Set query text
        // ------------------------------------------------------
        String queryText = searchText + "&& price:[1000 TO 8000]";
        System.out.println("Query Text:" + queryText);

        // ------------------------------------------------------
        // search
        // ------------------------------------------------------
        SolrQuery query = new SolrQuery();
        query.setQuery(queryText);
        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(0); // 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
        query.setRequestHandler("/browse");
        QueryResponse response = core.query(query);
        List items_rep = response.getBeans(Item.class);
        List 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 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,
            long point, boolean vip) {
        Calendar cale = Calendar.getInstance();
        cale.setTime(new Date());
        cale.add(Calendar.DATE, (int)id);
        Item item = new Item();
        item.setId(id);
        item.setSubject(subject);
        item.setContent(content);
        item.setRegionId(regionId);
        item.setCategoryId(categoryId);
        item.setPrice(price);
        item.setCreateTime(cale.getTime());
        item.setPoint(point);
        item.setVip(vip);
        return item;
    }
    
    @SuppressWarnings("unchecked")
    /**
     * 重新将需要查询的文本内容解析成分词
     * @param core
     * @param searchText
     * @return
     * @throws SolrServerException
     */
    private static String AnalysisSearchText(HttpSolrServer core, String searchText) throws SolrServerException {
        StringBuilder strSearchText = new StringBuilder();
        final String STR_FIELD_TYPE = "text_cn";
        SolrQuery queryAnalysis = new SolrQuery();
        queryAnalysis.add(CommonParams.QT, "/analysis/field"); // query type
        queryAnalysis.add(AnalysisParams.FIELD_VALUE, searchText);
        queryAnalysis.add(AnalysisParams.FIELD_TYPE, STR_FIELD_TYPE);
        QueryResponse responseAnalysis = core.query(queryAnalysis);
        //对响应进行解析
        NamedList