• 使用JAVA操作ElasticSearch(JAVA API)


    我的ElasticSearch集群的版本是6.2.4,导入elasticsearch相关的maven依赖也是6.2.4,不同版本的api可能会有差异

    一:maven依赖

       <!--elasticsearch核心依赖-->
            <dependency>
                <groupId>org.elasticsearch</groupId>
                <artifactId>elasticsearch</artifactId>
                <version>6.2.4</version>
            </dependency>
            <!--elasticsearch客户端-->
            <dependency>
                <groupId>org.elasticsearch.client</groupId>
                <artifactId>transport</artifactId>
                <version>6.2.4</version>
            </dependency>
            <!--日志-->
            <dependency>
                <groupId>org.apache.logging.log4j</groupId>
                <artifactId>log4j-to-slf4j</artifactId>
                <version>2.9.1</version>
            </dependency>
            <dependency>
                <groupId>org.slf4j</groupId>
                <artifactId>slf4j-api</artifactId>
                <version>1.7.24</version>
            </dependency>
            <dependency>
                <groupId>org.slf4j</groupId>
                <artifactId>slf4j-simple</artifactId>
                <version>1.7.21</version>
            </dependency>
    
            <dependency>
                <groupId>log4j</groupId>
                <artifactId>log4j</artifactId>
                <version>1.2.12</version>
            </dependency>
            <!--单元测试-->
            <dependency>
                <groupId>junit</groupId>
                <artifactId>junit</artifactId>
                <version>4.12</version>
                <scope>compile</scope>
            </dependency>
            <!--实体转json-->
            <dependency>
                <groupId>com.fasterxml.jackson.core</groupId>
                <artifactId>jackson-core</artifactId>
                <version>2.10.2</version>
            </dependency>
            <dependency>
                <groupId>com.fasterxml.jackson.core</groupId>
                <artifactId>jackson-databind</artifactId>
                <version>2.10.2</version>
            </dependency>
            <dependency>
                <groupId>com.fasterxml.jackson.core</groupId>
                <artifactId>jackson-annotations</artifactId>
                <version>2.10.2</version>
            </dependency>
    
            <!--实体类简化工具-->
            <dependency>
                <groupId>org.projectlombok</groupId>
                <artifactId>lombok</artifactId>
                <version>1.16.18</version>
            </dependency>

    2.单元测试的共有方法

      TransportClient client;
    
        @Before
        //创建连接
        public void connection() throws UnknownHostException {
            //创建客户端连接对象
            //参数为configelasticsearch.yml中对应的值 也就是集群名称
            Settings settings = Settings.builder().put("cluster.name", "elasticsearch").build();
            client = new PreBuiltTransportClient(settings);
            client.addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.118.3"), 9300));
            client.addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.118.4"), 9300));
            client.addTransportAddress(new TransportAddress(InetAddress.getByName("192.168.118.5"), 9300));
        }
    
    
    
      @After
        //释放资源
        public void close() {
            client.close();
        }
    
    
    
        //遍历结果集
        public void iteratorSearchHit(SearchHits searchHits) {
            System.out.println("符合查询条件有:" + searchHits.getTotalHits() + "条");
            //获取迭代器
            Iterator<SearchHit> iterator = searchHits.iterator();
            System.out.println("开始进行遍历------------------------------");
            while (iterator.hasNext()) {
                //获取每个查询对象
                SearchHit searchHit = iterator.next();
                //获取字符串类型并进行打印
                System.out.println(searchHit.getSourceAsString());
                Map<String, Object> sourceAsMap = searchHit.getSourceAsMap();
                System.out.println("符合搜索条件的标题是:=======" + sourceAsMap.get("title"));
                /*   for (Map.Entry<String,Object> map:sourceAsMap.entrySet()){
                    System.out.println("===================================");
                    System.out.println(map.getKey());
                    System.out.println(map.getValue());
                }
                */
            }
        }

    3.常规操作

       @Test
        //创建索引库
        public void createIndex() {
            //索引名成必须小写
            client.admin().indices().prepareCreate("myindex1").get();
        }
    
        @Test
        //添加映射
        public void mapping() throws IOException, ExecutionException, InterruptedException {
            XContentBuilder builder = XContentFactory.jsonBuilder().startObject()
                    .startObject("type1")
                    .startObject("properties")
                    .startObject("id")
                    .field("type", "integer")
                    .field("store", "true")
                    .endObject()
                    .startObject("title")
                    .field("type", "text")
                    .field("store", "true")
                    .field("analyzer", "ik_smart")
                    .endObject()
                    .startObject("content")
                    .field("type", "text")
                    .field("store", "true")
                    .field("analyzer", "ik_smart")
                    .endObject()
                    .endObject()
                    .endObject()
                    .endObject();
            PutMappingRequest mappingRequest = Requests.putMappingRequest("myindex1")
                    .type("type1")
                    .source(builder);
            client.admin().indices().putMapping(mappingRequest).get();
        }
    
        @Test
        //给myindex1的type1创建文档
        public void createDocument() throws IOException {
            XContentBuilder xContentBuilder = XContentFactory.jsonBuilder();
            xContentBuilder.startObject()
                    .field("id", 1)
                    .field("title", "ElasticSearch是一个基于Lucene的搜索服务器")
                    .field("content", "它提供了一个分布式多用户能力的全文搜索引擎,基于RESTful web接口。Elasticsearch是用 Java开发的,并作为Apache许可条款下的开放源码发布,是当前流行的企业级搜索引擎。设计用于云计算中,能够达到 实时搜索,稳定,可靠,快速,安装使用方便。")
                    .endObject();
            //参数1:索引名 2:类型 3:id
            client.prepareIndex("myindex1", "type1", "1").setSource(xContentBuilder).get();
    
        }
    
        @Test
        //通过实体转json创建文档
        public void jsonDocument() throws JsonProcessingException {
            Type1 type1 = new Type1();
            type1.setId(2);
            type1.setTitle("通过实体转json创建文档");
            type1.setContent("通过创建实体的方式,将实体转json");
            ObjectMapper objectMapper = new ObjectMapper();
            client.prepareIndex("myindex1", "type1", type1.getId().toString())
                    .setSource(objectMapper.writeValueAsString(type1).getBytes(), XContentType.JSON)
                    .get();
        }
    
        @Test
        //关键词查询
        public void termQuery() {
            //设置搜索条件,目标索引库,目标类型,目标域
            SearchResponse searchResponse = client.prepareSearch("myindex1")
                    .setTypes("type1")
                    .setQuery(QueryBuilders.termQuery("content", "实体")).get();
            SearchHits hits = searchResponse.getHits();
            iteratorSearchHit(hits);
        }
    
        @Test
        //字符串查询
        public void stringQuery() {
            //设置搜索条件,目标索引库,目标类型
            SearchResponse searchResponse = client.prepareSearch("myindex1")
                    .setTypes("type1")
                    .setQuery(QueryBuilders.queryStringQuery("搜索实体")).get();
            SearchHits hits = searchResponse.getHits();
            iteratorSearchHit(hits);
        }
    
        @Test
        //根据文档ID进行查询
        public void idQuery() {
            SearchResponse searchResponse = client.prepareSearch("myindex1")
                    .setQuery(QueryBuilders.idsQuery("type1").addIds("2"))
                    .get();
            iteratorSearchHit(searchResponse.getHits());
        }
    
        //分页之前的操作,批量添加文档
        @Test
        public void batchInsert() throws JsonProcessingException {
            Type1 type1;
            for (int i = 1; i <= 50; i++) {
                type1 = new Type1();
                type1.setId(i);
                type1.setTitle(i + "通过实体转json创建文档");
                type1.setContent(i + "通过创建实体的方式,将实体转json");
                ObjectMapper objectMapper = new ObjectMapper();
                client.prepareIndex("myindex1", "type1", type1.getId().toString())
                        .setSource(objectMapper.writeValueAsString(type1).getBytes(), XContentType.JSON)
                        .get();
            }
        }
    
        //搜索文档并分页显示
        @Test
        public void pageDocument() {
            SearchResponse searchResponse = client.prepareSearch("myindex1")
                    .setTypes("type1")
                    .setQuery(QueryBuilders.matchAllQuery())
                    //setFrom():从第几条开始检索,默认是0。
                    // setSize():每页最多显示的记录数默认是十
                    .setFrom(0)
                    .setSize(5)
                    .get();
            iteratorSearchHit(searchResponse.getHits());
        }
    
    
        //模拟搜索结果高亮显示
        @Test
        public void highlight() {
            //设置查询条件
            SearchRequestBuilder searchRequestBuilder = client.prepareSearch("myindex1")
                    .setTypes("type1")
                    .setQuery(QueryBuilders.termQuery("title", "实体"));
            //高亮设置
            HighlightBuilder highlightBuilder = new HighlightBuilder();
            //开头的标签信息
            highlightBuilder.preTags("<font style='color:red'>");
            //结尾的标签
            highlightBuilder.postTags("</font>");
            highlightBuilder.field("title");
            searchRequestBuilder.highlighter(highlightBuilder);
            SearchResponse searchResponse = searchRequestBuilder.get();
            Iterator<SearchHit> iterator = searchResponse.getHits().iterator();
            while (iterator.hasNext()) {
                SearchHit hit = iterator.next();
                System.out.print("正常String方式打印文档搜索内容====");
                System.out.println(hit.getSourceAsString());
                Map<String, HighlightField> highlightFields = hit.getHighlightFields();
                //遍历集合,输出高亮数据
                //方式1
                Text[] titles = highlightFields.get("title").getFragments();
                for (Text str : titles) {
                    System.out.println(str);
                }
            }
        }
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  • 原文地址:https://www.cnblogs.com/yjc1605961523/p/12382942.html
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