ElasticSearch Java API 增删改查操作

1.添加pom.xml依赖

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<dependency>
  <groupId>junit</groupId>
  <artifactId>junit</artifactId>
  <version>4.11</version>
  <scope>test</scope>
</dependency>

<dependency>
  <groupId>org.elasticsearch</groupId>
  <artifactId>elasticsearch</artifactId>
  <version>5.6.0</version>
</dependency>

<dependency>
  <groupId>org.elasticsearch.client</groupId>
  <artifactId>transport</artifactId>
  <version>5.6.0</version>
</dependency>

<dependency>
  <groupId>org.apache.logging.log4j</groupId>
  <artifactId>log4j-core</artifactId>
  <version>2.9.0</version>
</dependency>

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API基本操作

2.连接到elasticsearch集群
 

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private static TransportClient client;                                                             
    static {// 1、获取客户端对象，设置连接的集群名称                                                      
        Settings settings= Settings.builder().put("cluster.name","elasticsearch").build();
        client=new PreBuiltTransportClient(settings);
        // 2、连接集群
        try {
            client.addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("hadoop-001"), 9300));
            System.out.println(client.toString());
        } catch (UnknownHostException e) {
            e.printStackTrace();
        }}

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3.创建索引

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public static void creatIndex(){

        //1.创建索引（indices指数）
        client.admin().indices().prepareCreate("blog").get();
        //2.关闭连接
        client.close();
    }

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4.删除索引

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  public static void deleteIndex(){
        //1.创建索引（indices指数）
        client.admin().indices().prepareDelete("blog").get();
        //2.关闭连接
        client.close();
    }

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 5 新建文档（源数据是手写的 json 串）

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public  static  void  creatIndexByJason(){
        // 1、文档数据准备
        String json = "{" + ""id":"1"," + ""title":"基于Lucene的搜索服务器","
                + ""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"" + "}";
        String jason2="{"+ ""id":"1","+""title":"基于Lucene的搜索服务器","
                +""content":"它提供了一个分布式多用户的全文搜索引擎，基于RESTful web接口""+"}";
        //2.创建文档
        IndexResponse indexResponse=client.prepareIndex("blog","article","1").setSource(json).execute().actionGet();
        // 3、打印返回的结果
        System.out.println("index:" + indexResponse.getIndex());
        System.out.println("type:" + indexResponse.getType());
        System.out.println("id:" + indexResponse.getId());
        System.out.println("version:" + indexResponse.getVersion());
        System.out.println("result:" + indexResponse.getResult());
        // 4、关闭连接
        client.close();
    }

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6 新建文档（源数据是以 map 方式添加的键值对）

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public  static  void  creatIndexByMap(){
        // 1、文档数据准备
        Map<String,Object> json=new HashMap<String,Object>();       //2.创建文档
        json.put("id", "2");
        json.put("title", "基于Lucene的搜索服务器");
        json.put("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");
        IndexResponse indexResponse=client.prepareIndex("blog","article","2").setSource(json).execute().actionGet();
        // 3、打印返回的结果
        System.out.println("index:" + indexResponse.getIndex());
        System.out.println("type:" + indexResponse.getType());
        System.out.println("id:" + indexResponse.getId());
        System.out.println("version:" + indexResponse.getVersion());
        System.out.println("result:" + indexResponse.getResult());
        // 4、关闭连接
        client.close();
    }

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7 新建文档（源数据是通过 es 构建器构建的数据）

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  public  static  void  creatIndexByBuilder()  {
        //1.通过es自带的帮助类，来构建json数据
        XContentBuilder builder= null;
        try {
            builder = XContentFactory.jsonBuilder().startObject()
                    .field("id","3")
                    .field("title","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")
                    .endObject();
        } catch (IOException e) {
            e.printStackTrace();
        }
        IndexResponse indexResponse=client.prepareIndex("blog","article","3").setSource(builder).execute().actionGet();
        // 3、打印返回的结果
        System.out.println("index:" + indexResponse.getIndex());
        System.out.println("type:" + indexResponse.getType());
        System.out.println("id:" + indexResponse.getId());
        System.out.println("version:" + indexResponse.getVersion());
        System.out.println("result:" + indexResponse.getResult());
        // 4、关闭连接
        client.close();
    }

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8 搜索文档数据（单个索引）

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public static  void getData()  {
        // 1、查询文档
        GetResponse response = client.prepareGet("blog", "article", "1").get();
        // 2、打印搜索的结果
        System.out.println(response.getSourceAsString());
        // 3、关闭连接
        client.close();
    }

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9 搜索文档数据（多个索引）

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public static  void getMultiData() {
        // 1、查询多个文档
        MultiGetResponse response = client.prepareMultiGet()
                .add("blog", "article", "1")
                .add("blog", "article", "2", "3")
                .add("blog", "article", "2").get();
        // 2、遍历返回的结果
        for (MultiGetItemResponse itemResponse : response) {
            GetResponse getResponse = itemResponse.getResponse();
            // 如果获取到查询结果
            if (getResponse.isExists()) {
                String sourceAsString = getResponse.getSourceAsString();
                System.out.println(sourceAsString);
            }
        }
        // 3、关闭资源
        client.close();
    }

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10 更新文档数据（update）

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  public static void updateData()  {
        // 1、创建更新数据的请求对象
        UpdateRequest updateRequest = new UpdateRequest();
        updateRequest.index("blog");
        updateRequest.type("article");
        updateRequest.id("3");
        try {
            updateRequest.doc(XContentFactory.jsonBuilder().startObject()
                    .field("title", "基于Lucene的搜索服务器") // 对没有的字段进行添加，对已有的字段进行替换
                    .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。大数据前景无限")
                    .field("createDate", "2017-8-22").endObject());
        } catch (IOException e) {
            e.printStackTrace();
        }
        // 2、获取更新后的值
        UpdateResponse indexResponse = null;
        try {
            indexResponse = client.update(updateRequest).get();
        } catch (InterruptedException e) {
            e.printStackTrace();
        } catch (ExecutionException e) {
            e.printStackTrace();
        }
        // 3、打印返回的结果
        System.out.println("index:" + indexResponse.getIndex());
        System.out.println("type:" + indexResponse.getType());
        System.out.println("id:" + indexResponse.getId());
        System.out.println("version:" + indexResponse.getVersion());
        System.out.println("result:" + indexResponse.getResult());
        // 4、关闭连接
        client.close();
    }

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11 更新文档数据（upsert）

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public static void upsertData() throws Exception {
        // 设置查询条件，查找不到则添加 IndexRequest 内容
        IndexRequest indexRequest = new IndexRequest("blog", "article", "5")
                .source(XContentFactory.jsonBuilder().startObject()
                        .field("title", "搜索服务器")
                        .field("content","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。").endObject());
        // 设置更新，查找到则按照 UpdateRequest 更新
        UpdateRequest upsert = new UpdateRequest("blog", "article", "5")
                .doc(XContentFactory.jsonBuilder().startObject().field("user", "李四").endObject()).upsert(indexRequest);
        client.update(upsert).get();
        client.close();
    }

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12 删除文档数据（prepareDelete）

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 public static void deleteData() {
        // 1、删除文档数据
        DeleteResponse indexResponse = client.prepareDelete("blog", "article", "2").get();
        // 2、打印返回的结果
        System.out.println("index:" + indexResponse.getIndex());
        System.out.println("type:" + indexResponse.getType());
        System.out.println("id:" + indexResponse.getId());
        System.out.println("version:" + indexResponse.getVersion());
        System.out.println("result:" + indexResponse.getResult());
        // 3、关闭连接
        client.close();
    }

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条件查询

1 查询所有（matchAllQuery）

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public static  void matchAllQuery(){

    //1.执行查询（查询所有）
        SearchResponse searchResponse=client.prepareSearch("blog").setTypes("article")
                .setQuery(QueryBuilders.matchAllQuery()).get();
        // 2、打印查询结果
        SearchHits hits=searchResponse.getHits();//获取命中数，查询结果有多少对象
        System.out.println("查询结果一共有"+hits.totalHits+"条");
        for (SearchHit hit : hits) {
            System.out.println(hit.getSourceAsString());
        }
    }

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2 对所有字段分词查询（queryStringQuery）

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public static void queryStringQuery() {
    // 1、条件查询（对所有字段分词查询）
    SearchResponse searchResponse = client.prepareSearch("blog").setTypes("article")
            .setQuery(QueryBuilders.queryStringQuery("全文")).get();
    // 2、打印查询结果
    SearchHits hits = searchResponse.getHits(); // 获取命中次数，查询结果有多少对象
    System.out.println("查询结果有：" + hits.getTotalHits() + "条");
    Iterator<SearchHit> iterator = hits.iterator();
    while (iterator.hasNext()) {
        SearchHit searchHit = iterator.next(); // 每个查询对象
        System.out.println(searchHit.getSourceAsString()); // 获取字符串格式打印
    }
    // 3、关闭连接
    client.close();
}

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3 通配符查询（wildcardQuery）

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public static  void wildcardQuery() {
    // 1、通配符查询
    SearchResponse searchResponse = client.prepareSearch("blog").setTypes("article")
            .setQuery(QueryBuilders.wildcardQuery("content", "*全*")).get();
    // 2、打印查询结果
    SearchHits hits = searchResponse.getHits(); // 获取命中次数，查询结果有多少对象
    System.out.println("查询结果有：" + hits.getTotalHits() + "条");
    Iterator<SearchHit> iterator = hits.iterator();
    while (iterator.hasNext()) {
        SearchHit searchHit = iterator.next(); // 每个查询对象
        System.out.println(searchHit.getSourceAsString()); // 获取字符串格式打印
    }
    // 3、关闭连接
    client.close();
}

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4 词条查询（TermQuery）

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public static void termQuery() {
    // 1、词条查询
    SearchResponse searchResponse = client.prepareSearch("blog").setTypes("article")
            .setQuery(QueryBuilders.termQuery("content", "全")).get(); // 因为没有使用 IK 分词器，所有只能一个字一个字的查
    // 2、打印查询结果
    SearchHits hits = searchResponse.getHits(); // 获取命中次数，查询结果有多少对象
    System.out.println("查询结果有：" + hits.getTotalHits() + "条");
    Iterator<SearchHit> iterator = hits.iterator();
    while (iterator.hasNext()) {
        SearchHit searchHit = iterator.next(); // 每个查询对象
        System.out.println(searchHit.getSourceAsString()); // 获取字符串格式打印
    }
    // 3、关闭连接
    client.close();
}

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5 模糊查询（fuzzy）

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public static void fuzzyQuery() {
    // 1、模糊查询
    SearchResponse searchResponse = client.prepareSearch("blog").setTypes("article")
            .setQuery(QueryBuilders.fuzzyQuery("title", "lucene")).get();
    // 2、打印查询结果
    SearchHits hits = searchResponse.getHits(); // 获取命中次数，查询结果有多少对象
    System.out.println("查询结果有：" + hits.getTotalHits() + "条");
    Iterator<SearchHit> iterator = hits.iterator();
    while (iterator.hasNext()) {
        SearchHit searchHit = iterator.next(); // 每个查询对象
        System.out.println(searchHit.getSourceAsString()); // 获取字符串格式打印
    }
    // 3、关闭连接
    client.close();
}

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映射相关操作

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public static void createMapping() throws Exception {
    // 1、创建索引（indices 指数）
    //client.admin().indices().prepareCreate("blog2").get();
    // 1、设置 mapping
    XContentBuilder builder = XContentFactory.jsonBuilder()
            .startObject()
                .startObject("article2")
                     .startObject("properties")
                         .startObject("id2")
                         .field("type", "text")
                         .field("store", "true")
                         .endObject()
                         .startObject("title2")
                             .field("type", "text")
                             .field("store", "false")
                         .endObject()
                         .startObject("content2")
                              .field("type", "text")
                              .field("store", "true")
                          .endObject()
                       .endObject()
                .endObject()
            .endObject();
    // 2、添加 mapping
    PutMappingRequest mapping = Requests.putMappingRequest("blog2").type("article2").source(builder);
    client.admin().indices().putMapping(mapping).get();
    // 3、关闭资源
    client.close();
}

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