elasticsearch RestHighLevelClient 关于document的常用操作 ---------- 新增篇

es中的新增操作分类两大类：普通新增和批量新增

普通新增使用IndexRequest即可

批量新增使用BulkRequest通过循环的方式将数据进行统一装载最后执行bulk操作

 

普通新增：

   //es单条操作--添加文档（记录）
　　public String addEsDocument() throws IOException {

        //开始设置属性
        Elasticsearch elasticsearch = new Elasticsearch();
        elasticsearch.setUserName("张三");
        elasticsearch.setAge(161);
        elasticsearch.setSex("男");
        elasticsearch.setLastName("sss");
        elasticsearch.setHeight(175);
        elasticsearch.setWeight(160);
        elasticsearch.setEducation("硕士");
        elasticsearch.setTotalScore(205.36);

        //创建新增文档的请求对象
        IndexRequest indexRequest = new IndexRequest();

        //指定对那个索引进行操作
//        indexRequest.index("user").id("1002");//此处不建议指定id值，可使用系统提供的全局uuid
        indexRequest.index("user");

        //将设置好的属性值转为json格式
        ObjectMapper objectMapper = new ObjectMapper();
        String elasticsearchJson = objectMapper.writeValueAsString(elasticsearch);

        //以json格式添加文档信息
        indexRequest.source(elasticsearchJson , XContentType.JSON);

        //像es服务发送请求
        IndexResponse esAddInfo = this.client.index(indexRequest, RequestOptions.DEFAULT);

        System.out.println("es index _index is : " + esAddInfo.getIndex());//获取当前索引
        System.out.println("es index _id is : " + esAddInfo.getId());//获取生成的ID
        System.out.println("es index _result is : " + esAddInfo.getResult());//获取操作结果

        return "add es document complete";
    }

 

 

批量新增：

    //批量插入
    public String bulkAddEsDocument(){

        //获取数据源
        List<Map<String , Object>> testData = getTestData();

        //创建批量新增文档请求
        BulkRequest bulkRequest = new BulkRequest();

        //批量为属性赋值
        int size = testData.size();
        for (int i=0; i<size; i++) {
            bulkRequest.add(new IndexRequest().index("user").source(testData.get(i)));
        }

        //发送批量新新增请求
        try {
            BulkResponse bulk = this.client.bulk(bulkRequest, RequestOptions.DEFAULT);
            System.out.println(bulk.status());
        } catch (IOException e) {
            e.printStackTrace();
        }

        return "bulk add es document complete";
    }


    //批量插入的数据源
    private static List<Map<String , Object>> getTestData(){

        HashMap<String, Object> map1 = new HashMap<>();
        map1.put("userName" , "marray");
        map1.put("sex" , "男");
        map1.put("age" , 26);
        map1.put("lastName" , "aa");
        map1.put("height" , 180);
        map1.put("weight" , 120);
        map1.put("education" , "本科");
        map1.put("totalScore" , 269.36);

        HashMap<String, Object> map2 = new HashMap<>();
        map2.put("userName" , "Tom");
        map2.put("sex" , "男");
        map2.put("age" , 17);
        map2.put("lastName" , "bb");
        map2.put("height" , 190);
        map2.put("weight" , 230);
        map2.put("education" , "本科");
        map2.put("totalScore" , 278.21);

        HashMap<String, Object> map3 = new HashMap<>();
        map3.put("userName" , "Jerry");
        map3.put("sex" , "女");
        map3.put("age" , 19);
        map3.put("lastName" , "cc");
        map3.put("height" , 165);
        map3.put("weight" , 80);
        map3.put("education" , "小学");
        map3.put("totalScore" , 2693.02);

        HashMap<String, Object> map4 = new HashMap<>();
        map4.put("userName" , "Tank");
        map4.put("sex" , "女");
        map4.put("age" , 23);
        map4.put("lastName" , "dd");
        map4.put("height" , 123);
        map4.put("weight" , 11);
        map4.put("education" , "本科");
        map4.put("totalScore" , 222.22);

        HashMap<String, Object> map5 = new HashMap<>();
        map5.put("userName" , "张三");
        map5.put("sex" , "男");
        map5.put("age" , 43);
        map5.put("lastName" , "ee");
        map5.put("height" , 198);
        map5.put("weight" , 280);
        map5.put("education" , "高中");
        map5.put("totalScore" , 36.25);

        HashMap<String, Object> map6 = new HashMap<>();
        map6.put("userName" , "李四");
        map6.put("sex" , "男");
        map6.put("age" , 25);
        map6.put("lastName" , "ff");
        map6.put("height" , 169);
        map6.put("weight" , 110);
        map6.put("education" , "本科");
        map6.put("totalScore" , 85.36);

        List<Map<String , Object>> objects = new ArrayList<>();
        objects.add(map1);
        objects.add(map2);
        objects.add(map3);
        objects.add(map4);
        objects.add(map5);
        objects.add(map6);

        return objects;
    }

 

特殊处理

针对map数据类型的新增与其他新增无区别也需要依托实体类来进行操作

    public String addEsDocument() throws IOException {

        //开始设置属性
        Map map = new HashMap();
        map.put("语文"  , "11");
        map.put("数学" , "22");
        map.put("地理" , "33");
        map.put("生物" , "44");
        map.put("化学" , "55");
        map.put("历史" , "66");
        Person person = new Person("王五" , 21 , map);

        //创建新增文档的请求对象
        IndexRequest indexRequest = new IndexRequest();

        //指定对那个索引进行操作
//        indexRequest.index("user").id("1002");//此处不建议指定id值，可使用系统提供的全局uuid
        indexRequest.index("map_test");

        //将设置好的属性值转为json格式
        ObjectMapper objectMapper = new ObjectMapper();
        String elasticsearchJson = objectMapper.writeValueAsString(person);

        //以json格式添加文档信息
        indexRequest.source(elasticsearchJson , XContentType.JSON);

        //像es服务发送请求
        IndexResponse esAddInfo = this.client.index(indexRequest, RequestOptions.DEFAULT);

        System.out.println("es index _index is : " + esAddInfo.getIndex());//获取当前索引
        System.out.println("es index _id is : " + esAddInfo.getId());//获取生成的ID
        System.out.println("es index _result is : " + esAddInfo.getResult());//获取操作结果

        return "add es document complete";
    }