- package com.git.edismax;
- import java.io.IOException;
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- 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.SolrQuery.ORDER;
- import org.apache.solr.client.solrj.impl.HttpSolrClient;
- import org.apache.solr.client.solrj.response.QueryResponse;
- import org.apache.solr.common.SolrDocument;
- import org.apache.solr.common.SolrDocumentList;
- import org.apache.solr.common.params.CommonParams;
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- public class ScoreByEdismax {
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- private final static String baseURL = "http://localhost:8983/solr/dismax";
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- public static void main(String[] args) throws Exception{
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- scoreBySum() ;
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- System.out.println("=====分割线==========");
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- scoreByProportion();
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- }
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- public static void scoreByProportion() throws SolrServerException, IOException{
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- long countMax = getMaxForField("count");
- long pointMax = getMaxForField("point");
- long hotMax = getMaxForField("hot");
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- String scoreMethod = "sum(product(div(count,"+countMax+"),10),product(div(point,"+pointMax+"),45),product(div(hot,"+hotMax+"),45))^1000000000";
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- SolrQuery query = new SolrQuery();
- query.set(CommonParams.Q, "国美*");
- query.set(CommonParams.FL,"id","name","count","point","hot","score");
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- query.set("defType","edismax");
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- query.set("bf", scoreMethod);
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- QueryResponse response = getClient().query(query);
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- resultShow(response);
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- }
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- private static long getMaxForField(String fieldName) throws SolrServerException, IOException{
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- SolrQuery query = new SolrQuery();
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- query.set(CommonParams.Q, "*:*");
- query.set(CommonParams.FL, fieldName);
- query.setSort(fieldName, ORDER.desc);
- query.setRows(1);
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- QueryResponse countResponse = getClient().query(query);
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- SolrDocument maxCount = countResponse.getResults().get(0);
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- long result = (long) maxCount.getFieldValue(fieldName);
- System.out.println(fieldName + ":" + result);
- return result;
- }
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- public static void scoreBySum() throws SolrServerException, IOException{
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- SolrQuery query = new SolrQuery();
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- query.set(CommonParams.Q, "国美*");
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- query.set(CommonParams.FL,"id","name","count","point","hot","score");
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- query.set("defType", "edismax");
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- query.set("bf","sum(count,point,hot)^1000000000");
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- QueryResponse response = getClient().query(query);
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- resultShow(response);
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- }
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- private static void resultShow(QueryResponse response){
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- int time = response.getQTime();
- System.out.println("响应时间:"+ time+"ms");
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- SolrDocumentList results = response.getResults();
- long numFound = results.getNumFound();
- System.out.println("总数量:"+numFound);
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- for (SolrDocument doc : results) {
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- System.out.println("id:"+ doc.getFieldValue("id").toString());
- System.out.println("name:"+ doc.getFieldValue("name").toString());
- System.out.println("count:"+ doc.getFieldValue("count").toString());
- System.out.println("point:"+ doc.getFieldValue("point").toString());
- System.out.println("hot:"+ doc.getFieldValue("hot").toString());
- System.out.println("score:"+ doc.getFieldValue("score").toString());
- System.out.println();
- }
- }
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- public static SolrClient getClient(){
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- SolrClient solrClient = new HttpSolrClient(baseURL);
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- return solrClient;
- }
-
-
- }
执行结果:
响应时间:1ms
总数量:6
id:6
name:国美手机
count:2314
point:1123
hot:717
score:4154.0
id:1
name:国美集团
count:5
point:4
hot:3
score:12.0
id:5
name:国美美信
count:1
point:5
hot:4
score:10.0
id:2
name:国美电器
count:4
point:3
hot:2
score:9.0
id:4
name:国美金融
count:2
point:1
hot:5
score:8.0
id:3
name:国美在线
count:3
point:2
hot:1
score:6.0
=====分割线==========
count:2314
point:1123
hot:717
响应时间:2ms
总数量:6
id:6
name:国美手机
count:2314
point:1123
hot:717
score:100.0
id:5
name:国美美信
count:1
point:5
hot:4
score:0.45572376
id:1
name:国美集团
count:5
point:4
hot:3
score:0.3701771
id:4
name:国美金融
count:2
point:1
hot:5
score:0.36252183
id:2
name:国美电器
count:4
point:3
hot:2
score:0.26302284
id:3
name:国美在线
count:3
point:2
hot:1
score:0.15586855
权重计算分析:
权重影响参数设置表:
主查询权重*自定义权重
查询主条件比例 |
权重公式比例 |
solr计算 |
自己计算 |
^1 |
^100000000
|
|
0.45572373506010969850068170504362 |
^1 |
|
|
|
^0.0000000001 |
^1000000000000
|
|
|
实践得出 这里score的计算是两部分组成 一个是主查询的权重匹配值还有一个是自己设置的权重计算
可以使其中一个无限的趋近于一个最大值或者最小值但是不能使之为0
看到不去刻意的改变solr自身的两部分打分机制,其打分结果和理想的误差为0.025*0.000001 这个误差,一般情况应该都是能满足的,不影响结果的