springMVC整合solr-----没有问题的

首先，在可以根据ip:端口能够进入solr服务器的基础上，solr所有配置都配好的基础上。。。。。。。。。。。。。。。

1、导包，在这里我用的是7.0.1的包，在晚上看到的都是四点几包，绕了很大一圈，很多方法都不一样了，只有一个包

  org.apache.solr
  solr-solrj
  7.0.1

2、配置一个spring-solr.xml

3、在这里我是将solr交给spring管理的，只写了service层跟serviceImpl

@Service
public class SolrImpl implements IsolrService {
    @Autowired
    HttpSolrClient client;
    @Override
    public List solr(String text) throws IOException, SolrServerException {

        SolrQuery query=new SolrQuery();

        String  queryText="infoName:"+text+"* or infoArtist:"+text+" or infoAddress:"+text+"*";
        query.set("q",queryText);
        //1、过滤器
        //query.set("fq","infoPrice:[1 TO 1000]");
        //2、排序
        //query.set("sort","infoPrice desc","id asc");
        //3、设置查询到的文档返回的域对象
        query.set("fi","id,infoName,infoArtist,infoAddress");

        //4、设置默认查询的域
        query.set("df","infoName","infoArtist","infoAddress");

        //5.分页
        query.set("start",0);
        query.set("rows",10);

        //6、高亮
        //设置高亮域(设置的域必须在查询条件中存在)
        query.addHighlightField("infoName");
        query.addHighlightField("infoArtist");
        query.addHighlightField("infoAddress");
        //前缀
        query.setHighlightSimplePre("");//这里的话，如果用thymeleaf模板，css样式生效需要加th:utext...
        //后缀
        query.setHighlightSimplePost("");

        QueryResponse response = client.query(query);
        //普通查询
        SolrDocumentList results = response.getResults();
        List comList=new ArrayList();
        //高亮查询
        NamedList namedList= (NamedList) response.getResponse().get("highlighting");
        //k是id,内部的map的key是域名,其value是高亮的值集合
        /*Map>> highlighting = response.getHighlighting();*/
        System.out.println("匹配的结果总数是-------"+results.getNumFound());
            for(SolrDocument document:results){
                CommodityInfoDto comInfo=new CommodityInfoDto();
                Integer id=Integer.parseInt((String)document.get("id"));
                comInfo.setInfoId(id);;
                comInfo.setInfoName((String)document.get("infoName"));
                comInfo.setInfoImg((String)document.get("infoImg"));
                comInfo.setInfoArtist((String)document.get("infoArtist"));
                comInfo.setInfoTime((String)document.get("infoTime"));
                comInfo.setInfoAddress((String)document.get("infoAddress"));
                comInfo.setInfoPrice((String)document.get("infoPrice"));
                comInfo.setInfoTicket((String)document.get("infoTicket"));
                for(int i=0;i0){
                            String highInfoName=(String)infoName.get(0);
                            comInfo.setInfoName(highInfoName);
                        }

                   
                        ArrayList infoArtist = (ArrayList) map.get("infoArtist");
                        if(infoArtist!=null&& infoArtist.size()>0){
                            String highinfoArtist=(String)infoArtist.get(0);
                            comInfo.setInfoArtist(highinfoArtist);
                        }


                        ArrayList infoAddress = (ArrayList) map.get("infoAddress");
                        if(infoAddress!=null&& infoAddress.size()>0){
                            String highinfoAddress=(String)infoAddress.get(0);
                            comInfo.setInfoArtist(highinfoAddress);
                        }
                    }
                }
                comList.add(comInfo);
        }
        return comList;
    }
}

4、我这里是通过用户输入一个字符，里面内容包括商品名字+商品艺人姓名+商品地址，联合查询，查询出来的对象也不会是重复的数据

    //查询商品
    @Test
    public void test11(){
        try {
            List list = solr.solr("演唱");
            for(CommodityInfoDto com:list){
                System.out.println("-------------->"+com);
            }
        } catch (IOException e) {
            e.printStackTrace();
        } catch (SolrServerException e) {
            e.printStackTrace();
        }
    }
}

5、结果看看