java使用elasticsearch-rest-high-level-client操作ElesticSearch(创建索引增删改查、文档增删改查、查询方式）

妖狐艹你老母 2023-02-10 05:22 55阅读 0赞

1、搭建spring boot 项目，pom.xml引入依赖如下：

  1. <parent>
  2.         <groupId>org.springframework.boot</groupId>
  3.         <artifactId>spring-boot-starter-parent</artifactId>
  4.         <version>2.0.1.RELEASE</version>
  5.         <relativePath/> <!-- lookup parent from repository -->
  6.     </parent>
  9.     <properties>
  10.         <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
  11.         <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
  12.         <java.version>1.8</java.version>
  13.     </properties>
  15.     <dependencies>
  17.         <dependency>
  18.             <groupId>org.mybatis.spring.boot</groupId>
  19.             <artifactId>mybatis-spring-boot-starter</artifactId>
  20.             <version>1.3.2</version>
  21.         </dependency>
  23.         <dependency>
  24.             <groupId>mysql</groupId>
  25.             <artifactId>mysql-connector-java</artifactId>
  26.             <scope>runtime</scope>
  27.         </dependency>
  29.         <dependency>
  30.             <groupId>org.springframework.boot</groupId>
  31.             <artifactId>spring-boot-starter-test</artifactId>
  32.             <scope>test</scope>
  33.         </dependency>
  35.         <dependency>
  36.             <groupId>org.elasticsearch</groupId>
  37.             <artifactId>elasticsearch</artifactId>
  38.             <version>6.2.1</version>
  39.         </dependency>
  41.         <dependency>
  42.             <groupId>org.elasticsearch.client</groupId>
  43.             <artifactId>elasticsearch-rest-high-level-client</artifactId>
  44.             <version>6.2.1</version>
  45.         </dependency>
  48.         <dependency>
  49.             <groupId>junit</groupId>
  50.             <artifactId>junit</artifactId>
  51.             <version>4.12</version>
  52.         </dependency>
  54.         <dependency>
  55.             <groupId>com.alibaba</groupId>
  56.             <artifactId>fastjson</artifactId>
  57.             <version>1.2.44</version>
  58.         </dependency>
  61.     </dependencies>

2、编写测试代码进行ElesticSearch操作

创建：RestHighLevelClient

  1. @Before
  2.     public void prepare() {
  3.         // 创建Client连接对象
  4.         //String[] ips = {"127.0.0.1:9200"};
  5.         String[] ips = {"47.104.193.89:9200", "47.104.180.62:9200"};
  6.         HttpHost[] httpHosts = new HttpHost[ips.length];
  7.         for (int i = 0; i < ips.length; i++) {
  8.             httpHosts[i] = HttpHost.create( ips[i] );
  9.         }
  10.         RestClientBuilder builder = RestClient.builder( httpHosts );
  11.         client = new RestHighLevelClient( builder );
  12.     }

2.1 创建索引和映射

  1. /**
  2.      * 创建索引 和 映射
  3.      *
  4.      * @throws IOException
  5.      */
  6.     @Test
  7.     public void createIndex() throws IOException {
  9.         //创建名称为blog2的索
  10.         CreateIndexRequest request = new CreateIndexRequest( "blog1" );
  12.         //设置映射 doc type名称
  13.         request.mapping( "doc", " {\n" +
  14.                 " \t\"properties\": {\n" +
  15.                 "           \"name\": {\n" +
  16.                 "              \"type\": \"text\",\n" +
  17.                 "              \"analyzer\":\"ik_max_word\",\n" +
  18.                 "              \"search_analyzer\":\"ik_smart\"\n" +
  19.                 "           },\n" +
  20.                 "           \"description\": {\n" +
  21.                 "              \"type\": \"text\",\n" +
  22.                 "              \"analyzer\":\"ik_max_word\",\n" +
  23.                 "              \"search_analyzer\":\"ik_smart\"\n" +
  24.                 "           },\n" +
  25.                 "           \"studymodel\": {\n" +
  26.                 "              \"type\": \"keyword\"\n" +
  27.                 "           },\n" +
  28.                 "           \"price\": {\n" +
  29.                 "              \"type\": \"float\"\n" +
  30.                 "           }\n" +
  31.                 "        }\n" +
  32.                 "}", XContentType.JSON );
  35.         CreateIndexResponse createIndexResponse = client.indices().create( request );
  36.         System.out.println( JSON.toJSONString( createIndexResponse ) );
  38.         //释放资源
  39.         client.close();
  40.     }

2.2 删除索引

  1. /**
  2.      * 删除索引
  3.      */
  4.     //删除索引库
  5.     @Test
  6.     public void testDeleteIndex() throws IOException {
  7.         //删除索引请求对象
  8.         DeleteIndexRequest deleteIndexRequest = new DeleteIndexRequest( "doc" );
  9.         //删除索引
  10.         DeleteIndexResponse deleteIndexResponse = client.indices().delete( deleteIndexRequest );
  11.         //删除索引响应结果
  12.         boolean acknowledged = deleteIndexResponse.isAcknowledged();
  13.         System.out.println( acknowledged );
  14.     }

2.3 插入文档

  1. /**
  2.      * 插入文档
  3.      */
  4.     @Test
  5.     public void testAddDocument() throws IOException {
  6.         //准备json数据
  7.         Map<String, Object> jsonMap = new HashMap<>();
  8.         jsonMap.put( "name", "11spring cloud实战" );
  9.         jsonMap.put( "description", "11本课程主要从四个章节进行讲解： 1.微服务架构入门 2.spring cloud基础入门 3.实战Spring Boot 4.注册中心eureka。" );
  10.         jsonMap.put( "studymodel", "201001" );
  11.         jsonMap.put( "price", 5.6f );
  13.         //索引请求对象
  14.         IndexRequest indexRequest = new IndexRequest( "blog1", "doc" ).id( "11" );
  15.         //指定索引文档内容
  16.         indexRequest.source( jsonMap );
  18.         //索引响应对象
  19.         IndexResponse index = client.index( indexRequest );
  21.         //获取响应结果
  22.         DocWriteResponse.Result result = index.getResult();
  23.         System.out.println( result );
  26.     }

2.4 更新文档

  1. /**
  2.      * 更新文档
  3.      */
  4.     @Test
  5.     public void updateDocument() throws IOException {
  6.         UpdateRequest updateRequest = new UpdateRequest( "blog1", "doc", "11" );
  8.         Map<String, String> map = new HashMap<>();
  9.         map.put( "name", "spring cloud实战222" );
  10.         updateRequest.doc( map );
  12.         UpdateResponse update = client.update( updateRequest );
  14.         RestStatus status = update.status();
  16.         System.out.println( status );
  17.     }

2.5 删除文档

  1. /**
  2.      * 删除文档
  3.      */
  4.     @Test
  5.     public void deleteDocument() throws IOException {
  6.         String id = "AXIDNJoC19Z06cvw7_Gv";
  7.         DeleteRequest deleteRequest = new DeleteRequest( "blog2", "doc", id );
  9.         DeleteResponse delete = client.delete( deleteRequest );
  11.         System.out.println( delete.status() );
  12.     }

2.6 根据ID查询

  1. /**
  2.      * 查询文档  根据ID查询
  3.      */
  4.     @Test
  5.     public void getDocumentById() throws IOException {
  6.         GetRequest getRequest = new GetRequest( "blog1", "doc", "11" );
  8.         GetResponse response = client.get( getRequest );
  10.         boolean exists = response.isExists();
  12.         Map<String, Object> sourceAsMap = response.getSourceAsMap();
  13.         System.out.println( sourceAsMap );
  15.     }

2.7 查询所有文档

  1. /**
  2.      * 搜索管理  查询所有文档
  3.      */
  4.     @Test
  5.     public void testSearchAll() throws IOException {
  7.         SearchRequest searchRequest = new SearchRequest( "blog1" );
  8.         searchRequest.types( "doc" );
  9.         SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
  10.         searchSourceBuilder.query( QueryBuilders.matchAllQuery() );
  11.         //source源字段过虑
  12.         searchSourceBuilder.fetchSource( new String[]{"name", "studymodel", "description"}, new String[]{} );
  13.         searchRequest.source( searchSourceBuilder );
  14.         SearchResponse searchResponse = client.search( searchRequest );
  15.         SearchHits hits = searchResponse.getHits();
  16.         long totalHits = hits.getTotalHits();
  18.         System.out.println( "total=" + totalHits );
  20.         SearchHit[] searchHits = hits.getHits();
  22.         for (SearchHit searchHit : searchHits) {
  23.             String index = searchHit.getIndex();
  24.             System.out.println( "index=" + index );
  25.             String id = searchHit.getId();
  26.             System.out.println( "id=" + id );
  27.             String sourceAsString = searchHit.getSourceAsString();
  28.             System.out.println( sourceAsString );
  29.             Map<String, Object> sourceAsMap = searchHit.getSourceAsMap();
  30.             //String articleId = String.valueOf( sourceAsMap.get( "id" ) );
  31.             String title = (String) sourceAsMap.get( "name" );
  32.             String content = (String) sourceAsMap.get( "description" );
  33.             //System.out.println("articleId="+articleId);
  34.             System.out.println( "title=" + title );
  35.             System.out.println( "content=" + content );
  36.         }
  39.     }

2.8 分页查询

  1. /**
  2.      * 搜索管理  分页查询
  3.      */
  4.     @Test
  5.     public void testSearchByPage() throws IOException {
  6.         //设置要查询的索引 和 type
  7.         SearchRequest searchRequest = new SearchRequest( "blog1" );
  8.         searchRequest.types( "doc" );
  9.         SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
  10.         searchSourceBuilder.query( QueryBuilders.matchAllQuery() );
  11.         //分页查询，设置起始下标，从0开始
  12.         searchSourceBuilder.from( 0 );
  13.         //每页显示个数
  14.         searchSourceBuilder.size( 2 );
  15.         //source源字段过虑
  16.         //searchSourceBuilder.fetchSource(new String[]{"title","id","content"},new String[]{}  );
  17.         searchSourceBuilder.fetchSource( new String[]{"name", "studymodel", "description"}, new String[]{} );
  18.         searchRequest.source( searchSourceBuilder );
  19.         SearchResponse search = client.search( searchRequest );
  20.         SearchHits hits = search.getHits();
  21.         long totalHits = hits.getTotalHits();
  22.         System.out.println( totalHits );
  23.         for (SearchHit searchHit : hits.getHits()) {
  24.             String sourceAsString = searchHit.getSourceAsString();
  25.             System.out.println( sourceAsString );
  26.         }
  27.     }

2.9 TeamQuey搜索

  1. /**
  2.      * 搜索管理  Term Query精确查找 ，在搜索时会整体匹配关键字，不再将关键字分词 ，
  3.      * 下面的语句：查询title 包含 spring 的文档
  4.      */
  5.     @Test
  6.     public void testSearchTerm() throws IOException {
  7.         //创建查询，设置索引
  8.         SearchRequest searchRequest = new SearchRequest( "blog1" );
  9.         //设置type
  10.         searchRequest.types( "doc" );
  11.         //设置查询条件
  12.         SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
  13.         searchSourceBuilder.query( QueryBuilders.termQuery( "name", "spring" ) );
  14.         //source源字段过虑
  15.         //searchSourceBuilder.fetchSource(new String[]{"title","id","content"},new String[]{});
  16.         searchSourceBuilder.fetchSource( new String[]{"name", "studymodel", "description"}, new String[]{} );
  17.         searchRequest.source( searchSourceBuilder );
  19.         SearchResponse search = client.search( searchRequest );
  20.         SearchHits hits = search.getHits();
  21.         long totalHits = hits.getTotalHits();
  22.         System.out.println( "总条数：" + totalHits );
  24.         for (SearchHit searchHit : hits.getHits()) {
  25.             String sourceAsString = searchHit.getSourceAsString();
  26.             System.out.println( sourceAsString );
  27.         }
  28.     }

2.10 根据多个ID查询

  1. /**
  2.      * 搜索管理 根据ID查询
  3.      */
  4.     @Test
  5.     public void testSearchByID() throws IOException {
  6.         //创建查询，设置索引
  7.         SearchRequest searchRequest = new SearchRequest( "blog1" );
  8.         //设置type
  9.         searchRequest.types( "doc" );
  10.         //设置查询条件
  11.         SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
  12.         String[] ids = {"11", "12"};
  13.         List<String> stringList = Arrays.asList( ids );
  14.         searchSourceBuilder.query( QueryBuilders.termsQuery( "_id", stringList ) );
  15.         //source源字段过虑
  16.         searchSourceBuilder.fetchSource( new String[]{"name", "studymodel", "description"}, new String[]{} );
  17.         searchRequest.source( searchSourceBuilder );
  19.         SearchResponse search = client.search( searchRequest );
  20.         SearchHits hits = search.getHits();
  21.         long totalHits = hits.getTotalHits();
  22.         System.out.println( "总条数：" + totalHits );
  24.         for (SearchHit searchHit : hits.getHits()) {
  25.             String sourceAsString = searchHit.getSourceAsString();
  26.             System.out.println( sourceAsString );
  27.         }
  28.     }

2.11 match Query 

  1. /**
  2.      * 搜索管理 match query 先分词后查找 minimum_should_match  （如果实现三个词至少有两个词匹配如何实现）
  3.      */
  4.     @Test
  5.     public void testSearchMatchMinimnum() throws IOException {
  6.         //创建查询，设置索引
  7.         SearchRequest searchRequest = new SearchRequest( "blog1" );
  8.         //设置type
  9.         searchRequest.types( "doc" );
  10.         //设置查询条件
  11.         SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
  12.         //匹配关键字
  13.         searchSourceBuilder.query( QueryBuilders.matchQuery( "name", "spring开发" ).minimumShouldMatch( "60%" ) );
  14.         //source源字段过虑
  15.         searchSourceBuilder.fetchSource( new String[]{"name", "studymodel", "description"}, new String[]{} );
  16.         searchRequest.source( searchSourceBuilder );
  18.         SearchResponse search = client.search( searchRequest );
  19.         SearchHits hits = search.getHits();
  20.         long totalHits = hits.getTotalHits();
  21.         System.out.println( "总条数：" + totalHits );
  23.         for (SearchHit searchHit : hits.getHits()) {
  24.             String sourceAsString = searchHit.getSourceAsString();
  25.             System.out.println( sourceAsString );
  26.         }
  27.     }

2.12 同时搜索多个Field

  1. /**
  2.      * 搜索管理 同时搜索多个Field
  3.      */
  4.     @Test
  5.     public void testSearchMultiMatch() throws IOException {
  6.         //创建查询，设置索引
  7.         SearchRequest searchRequest = new SearchRequest( "blog1" );
  8.         //设置type
  9.         searchRequest.types( "doc" );
  10.         //设置查询条件
  11.         SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
  12.         //匹配关键字
  13.         MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery( "Boot 开发", "name", "description" )
  14.                 .minimumShouldMatch( "50%" );
  15.         multiMatchQueryBuilder.field( "name", 10 );//提升boost 表示权重提升10倍
  17.         searchSourceBuilder.query( multiMatchQueryBuilder );
  18.         //source源字段过虑
  19.         searchSourceBuilder.fetchSource( new String[]{"name", "studymodel", "description"}, new String[]{} );
  20.         searchRequest.source( searchSourceBuilder );
  22.         SearchResponse search = client.search( searchRequest );
  23.         SearchHits hits = search.getHits();
  24.         long totalHits = hits.getTotalHits();
  25.         System.out.println( "总条数：" + totalHits );
  27.         for (SearchHit searchHit : hits.getHits()) {
  28.             String sourceAsString = searchHit.getSourceAsString();
  29.             System.out.println( sourceAsString );
  30.         }
  31.     }

2.13 布尔查询

  1. /**
  2.      * 搜索管理 布尔查询
  3.      */
  4.     @Test
  5.     public void testSearchBoolean() throws IOException {
  6.         //创建搜索请求对象
  7.         SearchRequest searchRequest = new SearchRequest( "blog1" );
  8.         //设置type
  9.         searchRequest.types( "doc" );
  10.         创建搜索源配置对象
  11.         SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
  12.         //source源字段过虑
  13.         searchSourceBuilder.fetchSource( new String[]{"name", "studymodel", "description"}, new String[]{} );
  14.         //multiQuery
  15.         MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery( "Boot 开发", "name", "description" )
  16.                 .minimumShouldMatch( "50%" );
  17.         multiMatchQueryBuilder.field( "name", 10 );//提升boost 表示权重提升10倍
  18.         //TermQuery
  19.         TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery( "studymodel", "201001" );
  20.         // 布尔查询
  21.         BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
  22.         boolQueryBuilder.must( multiMatchQueryBuilder );
  23.         boolQueryBuilder.must( termQueryBuilder );
  24.         //设置布尔查询对象
  25.         searchSourceBuilder.query( boolQueryBuilder );
  26.         //设置搜索源配置
  27.         searchRequest.source( searchSourceBuilder );
  28.         //搜索
  29.         SearchResponse search = client.search( searchRequest );
  30.         SearchHits hits = search.getHits();
  31.         long totalHits = hits.getTotalHits();
  32.         System.out.println( "总条数：" + totalHits );
  34.         for (SearchHit searchHit : hits.getHits()) {
  35.             String sourceAsString = searchHit.getSourceAsString();
  36.             System.out.println( sourceAsString );
  37.         }
  38.     }

2.14 过滤器

  1. /**
  2.      * 搜索管理 过滤器
  3.      */
  4.     @Test
  5.     public void testSearchFilter() throws IOException {
  6.         //创建搜索请求对象
  7.         SearchRequest searchRequest = new SearchRequest( "blog1" );
  8.         //设置type
  9.         searchRequest.types( "doc" );
  10.         创建搜索源配置对象
  11.         SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
  12.         //source源字段过虑
  13.         searchSourceBuilder.fetchSource( new String[]{"name", "studymodel", "description"}, new String[]{} );
  14.         //multiQuery 多field查询
  15.         MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery( "Boot 开发", "name", "description" )
  16.                 .minimumShouldMatch( "50%" );
  17.         multiMatchQueryBuilder.field( "name", 10 );//提升boost 表示权重提升10倍
  18.         //多Field查询，添加到搜索源配置对象中
  19.         searchSourceBuilder.query( multiMatchQueryBuilder );
  21.         //TermQuery
  22.         TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery( "studymodel", "201001" );
  23.         //Term查询，添加到搜索源配置对象中
  24.         searchSourceBuilder.query( termQueryBuilder );
  26.         // 布尔查询
  27.         BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
  28.         boolQueryBuilder.must( searchSourceBuilder.query() );
  30.         //过虑
  31.         boolQueryBuilder.filter( QueryBuilders.termQuery( "studymodel", "201001" ) );
  32.         boolQueryBuilder.filter( QueryBuilders.rangeQuery( "price" ).gte( 5 ).lte( 100 ) );
  34.         //设置布尔查询对象
  35.         searchSourceBuilder.query( boolQueryBuilder );
  36.         //设置搜索源配置
  37.         searchRequest.source( searchSourceBuilder );
  38.         //搜索
  39.         SearchResponse search = client.search( searchRequest );
  40.         SearchHits hits = search.getHits();
  41.         long totalHits = hits.getTotalHits();
  42.         System.out.println( "总条数：" + totalHits );
  44.         for (SearchHit searchHit : hits.getHits()) {
  45.             String sourceAsString = searchHit.getSourceAsString();
  46.             System.out.println( sourceAsString );
  47.         }
  48.     }

2.15 排序

  1. /**
  2.      * 排序
  3.      *
  4.      * @throws IOException
  5.      */
  6.     @Test
  7.     public void testSort() throws IOException {
  8.         SearchRequest searchRequest = new SearchRequest( "blog1" );
  9.         searchRequest.types( "doc" );
  10.         SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
  11.         //source源字段过虑
  12.         searchSourceBuilder.fetchSource( new String[]{"name", "studymodel", "price", "description"}, new String[]{} );
  13.         searchRequest.source( searchSourceBuilder );
  14.         //布尔查询
  15.         BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
  16.         //过虑
  17.         boolQueryBuilder.filter( QueryBuilders.rangeQuery( "price" ).gte( 0 ).lte( 100 ) );
  18.         // 排序
  19.         searchSourceBuilder.sort( new FieldSortBuilder( "studymodel" ).order( SortOrder.DESC ) );
  20.         searchSourceBuilder.sort( new FieldSortBuilder( "price" ).order( SortOrder.ASC ) );
  21.         //搜索
  22.         SearchResponse searchResponse = client.search( searchRequest );
  23.         SearchHits hits = searchResponse.getHits();
  24.         SearchHit[] searchHits = hits.getHits();
  25.         for (SearchHit hit : searchHits) {
  26.             String sourceAsString = hit.getSourceAsString();
  27.             System.out.println( sourceAsString );
  28.         }
  30.     }

2.16 高亮显示

  1. /**
  2.      * 高亮显示
  3.      *
  4.      * @throws IOException
  5.      */
  6.     @Test
  7.     public void testHighlight() throws IOException {
  8.         SearchRequest searchRequest = new SearchRequest( "blog1" );
  9.         searchRequest.types( "doc" );
  10.         SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
  11.         //source源字段过虑
  12.         searchSourceBuilder.fetchSource( new String[]{"name", "studymodel", "price", "description"}, new String[]{} );
  13.         searchRequest.source( searchSourceBuilder );
  14.         //匹配关键字
  15.         MultiMatchQueryBuilder multiMatchQueryBuilder = QueryBuilders.multiMatchQuery( "实战", "name", "description" );
  16.         searchSourceBuilder.query( multiMatchQueryBuilder );
  17.         //布尔查询
  18.         BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
  19.         boolQueryBuilder.must( searchSourceBuilder.query() );
  20.         //过虑
  21.         boolQueryBuilder.filter( QueryBuilders.rangeQuery( "price" ).gte( 0 ).lte( 100 ) );
  22.         //排序
  23.         searchSourceBuilder.sort( new FieldSortBuilder( "studymodel" ).order( SortOrder.DESC ) );
  24.         searchSourceBuilder.sort( new FieldSortBuilder( "price" ).order( SortOrder.ASC ) );
  25.         //高亮设置
  26.         HighlightBuilder highlightBuilder = new HighlightBuilder();
  27.         highlightBuilder.preTags( "<tag>" );//设置前缀
  28.         highlightBuilder.postTags( "</tag>" );//设置后缀
  29.         // 设置高亮字段
  30.         highlightBuilder.fields().add( new HighlightBuilder.Field( "name" ) );
  31.         //highlightBuilder.fields().add(new HighlightBuilder.Field("description"));
  32.         searchSourceBuilder.highlighter( highlightBuilder );
  34.         SearchResponse searchResponse = client.search( searchRequest );
  35.         SearchHits hits = searchResponse.getHits();
  36.         SearchHit[] searchHits = hits.getHits();
  37.         for (SearchHit hit : searchHits) {
  38.             Map<String, Object> sourceAsMap = hit.getSourceAsMap();
  39.             //名称
  40.             String name = (String) sourceAsMap.get( "name" );
  41.             //取出高亮字段内容
  42.             Map<String, HighlightField> highlightFields = hit.getHighlightFields();
  43.             if (highlightFields != null) {
  44.                 HighlightField nameField = highlightFields.get( "name" );
  45.                 if (nameField != null) {
  46.                     Text[] fragments = nameField.getFragments();
  47.                     StringBuffer stringBuffer = new StringBuffer();
  48.                     for (Text str : fragments) {
  49.                         stringBuffer.append( str.string() );
  50.                     }
  51.                     name = stringBuffer.toString();
  52.                 }
  53.             }
  54.             System.out.println( "高亮==" + name );
  56.             String sourceAsString = hit.getSourceAsString();
  57.             System.out.println( sourceAsString );
  58.         }
  59.     }

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