首页
所有分类
TAGS
文字工具 EMOJI BIBLE
编程 Java/Android

elasticSearch-api的具体操作步骤讲解

Posted in Java/Android onJune 28, 2021

使用步骤

1.环境准备

用的是windows版,自行下载

链接: 下载地址

2.针对索引操作

这里是kibana上操作的(也可以用postman操作)：

elasticSearch-api的具体操作步骤讲解

#创建索引,指定文档id
PUT /test1/type1/1
{
  "name":"张三",
   "age":30
  
}
#创建索引规则(类似数据库建表)
PUT /test2
{
  "mappings": {
    "properties": {
      "name":{
        "type":"text"
      },
      "age":{
        "type": "integer"
      },
      "birthday":{
        "type": "date"
      }
    }
  }
}
#获取索引的信息,properties类型
GET test2
#创建索引,properties不指定类型会有默认类型
#也可以用作修改,但是必须写上全部字段,不然会丢失未写字段
PUT /test3/_doc/1
{
  "name":"张三",
  "age":30,
  "birth":"1991-06-23"
}
GET test3
#查看es健康状态
GET _cat/health
#查看所有索引状态
GET _cat/indices?v
#修改
POST /test3/_doc/1/_update
{
  "doc":{
    "name":"李四"
  }
}

3.针对doc操作(增删改)

代码如下(示例)：

#新增索引,并添加doc
POST /chen/user/1
{
  "name":"张三",
  "age":11,
  "desc":"一顿操作猛如虎,一看工资2500",
  "tags":["技术宅","温暖","直男"]
}
POST /chen/user/2
{
  "name":"李四",
  "age":12,
  "desc":"憨批",
  "tags":["渣男","旅游","交友"]
}
POST /chen/user/3
{
  "name":"王五",
  "age":13,
  "desc":"瓜怂",
  "tags":["靓女","旅游","美食"]
}
POST /chen/user/4
{
  "name":"刘六",
  "age":14,
  "desc":"锅盔",
  "tags":["衰仔","旅游","美食"]
}
#获取数据
GET chen/user/1
#更新数据
POST chen/user/1/_update
{
  "doc":{
    "name":"更新"
  }
}
#删除
DELETE chen/user/1
#条件查询,匹配度越高,_score(分值)越高
GET chen/user/_search?q=name:李
GET chen/user/_search?q=name:李四
#等价于上面
GET chen/user/_search
{
  "query": {
    "match": {
      "name": "李四"
    }
  }
}

4.针对doc操作(查)

查询1(示例)：

#_source结果过滤(指定需要字段结果集)
#sort排序
#from-size分页(类似limit )
#注意:这个查询是不可以些多个字段的(我试过了)
GET chen/user/_search
{
  "query": {
    "match": {
      "name": "李四"
    }
  },
  "_source": ["name","age"],
   "sort": [
    {
      "age": {
        "order": "asc"
      }
    }
  ],
  "from":0,
  "size":1
}
#多条件精确查询
#以下都是bool的二级属性
#must:必须
#should,满足任意条件
#must_not,表示不满足
GET chen/user/_search
{
  "query": {
    "bool": {
      "must": [
        {"match": {
          "name": "李四"
        }},
        {"match": {
          "age": 11
        }}
      ]
    }
  }
}
#过滤.注意filter是bool(多条件)的二级属性
GET chen/user/_search
{
  "query": {
    "bool": {
      "must": [
        {"match": {
          "name": "李四"
        }}
      ],
      "filter": {
        "range": {
          "age": {
            "gte": 10,
            "lte": 20
          }
        }
      }
    }
  }
}
#分词器依然有效
#多个条件空格隔开就行,只要满足其中一个,就会被逮到
GET chen/user/_search
{
  "query": {
    "match": {
      "tags": "男 技术"
    }
  }
}
#精确查询,结果只能为1,多条直接不显示
GET chen/user/_search
{
  "query": {
    "term": {
      "name": "李四"
    }
  }
}

查询2(示例)：

#新建索引
PUT test4
{
  "mappings": {
    "properties": {
      "name":{
        "type": "text"
      },
      "desc":{
        "type": "keyword"
      }
    }
  }
}
#插入数据
PUT test4/_doc/1
{
  "name":"张三name",
  "desc":"张三desc"
}
PUT test4/_doc/2
{
  "name":"张三name2",
  "desc":"张三desc2"
}
#分词器查询(并不是查询索引里的数据,而是将text的内容用分词器拆分的结果)
GET _analyze
{
  "analyzer": "keyword",
  "text": ["张三name"]
}
GET _analyze
{
  "analyzer": "standard",
  "text": "张三name"
}
GET test4/_search
{
  "query": {
    "term": {
      "name": "张"
    }
  }
}
#==keyword不会被分词器解析==
GET test4/_search
{
  "query": {
    "term": {
      "desc": "张三desc"
    }
  }
}

查询3(示例)：

PUT test4/_doc/3
{
  "t1":"22",
  "t2":"2020-4-6"
}
PUT test4/_doc/4
{
  "t1":"33",
  "t2":"2020-4-7"
}
#精确查询多个值
GET test4/_search
{
  "query": {
    "bool": {
      "should": [
        {
          "term": {
            "t1": "22"
          }
        },
        {
          "term": {
            "t1": "33"
          }
        }
      ]
    }
  }
}
#highlight:高亮
#pre_tags,post_tags:自定义高亮条件,前缀后缀
GET chen/user/_search
{
  "query": {
    "match": {
      "name": "李四"
    }
  },
  "highlight": {
    "pre_tags": "<p class='key' style='color:red'", 
    "post_tags": "</p>", 
    "fields": {
      "name":{}
    }
  }
}

5.java-api

索引操作：

public class ES_Index {
    private static final String HOST_NAME = "localhost";
    private static final Integer PORT = 9200;
    private static RestHighLevelClient client;

    //创建ES客户端
    static {
        RestClientBuilder restClientBuilder = RestClient.builder(new HttpHost(HOST_NAME, PORT));
        client = new RestHighLevelClient(restClientBuilder);
    }

    //关闭ES客户端
    public void close() {
        if (null != client) {
            try {
                client.close();
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
    }
    //创建索引
    public void addIndex() throws IOException {
        //创建索引
        CreateIndexRequest request = new CreateIndexRequest("chen");
        CreateIndexResponse response = client.indices().create(request, RequestOptions.DEFAULT);
        //响应状态
        System.out.println("索引创建操作: " + response.isAcknowledged());
    }
    //查询索引
    public void selectIndex() throws IOException {
        GetIndexRequest request = new GetIndexRequest("chen");
        GetIndexResponse response = client.indices().get(request, RequestOptions.DEFAULT);
        System.out.println("索引查询操作: " +response.getAliases());
        System.out.println("索引查询操作: " +response.getMappings());
        System.out.println("索引查询操作: " +response.getSettings());
    }
    //删除索引
    public void deleteIndex() throws IOException {
        DeleteIndexRequest request = new DeleteIndexRequest("chen");
        AcknowledgedResponse response = client.indices().delete(request, RequestOptions.DEFAULT);
        System.out.println("索引删除操作: "+response.isAcknowledged());
    }
    public static void main(String[] args) throws IOException {
        ES_Index index=new ES_Index();
        //index.addIndex();
        //index.selectIndex();
        index.deleteIndex();
        index.close();
    }
}

文档操作：

public class ES_Doc {
    private static final String HOST_NAME = "localhost";
    private static final Integer PORT = 9200;
    private static RestHighLevelClient client;

    //创建ES客户端
    static {
        RestClientBuilder restClientBuilder = RestClient.builder(new HttpHost(HOST_NAME, PORT));
        client = new RestHighLevelClient(restClientBuilder);
    }

    //关闭ES客户端
    public void close() {
        if (null != client) {
            try {
                client.close();
            } catch (IOException e) {
                e.printStackTrace();
            }
        }
    }

    //插入数据
    public void addDoc() throws IOException {
        IndexRequest request = new IndexRequest();
        User user = new User("张三", "男", 18);
        //向es插入数据,必须将数据转换为json格式
        String userJson = new ObjectMapper().writeValueAsString(user);
        request.index("user").id("1001").source(userJson, XContentType.JSON);
        IndexResponse response = client.index(request, RequestOptions.DEFAULT);
        System.out.println("文档创建操作: " + response.getResult());
    }

    //修改数据(局部修改)
    public void updateDoc() throws IOException {
        UpdateRequest request = new UpdateRequest();
        request.index("user").id("1001").doc(XContentType.JSON, "sex", "女");
        UpdateResponse response = client.update(request, RequestOptions.DEFAULT);
        System.out.println("文档修改操作: " + response.getResult());
    }

    //获取数据
    public void getDoc() throws IOException {
        GetRequest request = new GetRequest();
        request.index("user").id("1001");
        GetResponse response = client.get(request, RequestOptions.DEFAULT);
        User user = new ObjectMapper().readValue(response.getSourceAsString(), User.class);
        System.out.println("文档获取操作: " + user);
    }

    //删除数据
    public void deleteDoc() throws IOException {
        DeleteRequest request = new DeleteRequest();
        request.index("user").id("1001");
        DeleteResponse response = client.delete(request, RequestOptions.DEFAULT);
        System.out.println("文档删除操作: " + response.getResult());
    }

    //批量插入数据
    public void addBatch() throws IOException {
        BulkRequest request = new BulkRequest();
        request.add(new IndexRequest().index("user").id("1001").source(XContentType.JSON, "name", "张三", "sex", "男", "age", 10));
        request.add(new IndexRequest().index("user").id("1002").source(XContentType.JSON, "name", "李四", "sex", "男", "age", 20));
        request.add(new IndexRequest().index("user").id("1003").source(XContentType.JSON, "name", "王五", "sex", "女", "age", 30));
        request.add(new IndexRequest().index("user").id("1004").source(XContentType.JSON, "name", "赵六", "sex", "男", "age", 40));
        request.add(new IndexRequest().index("user").id("1005").source(XContentType.JSON, "name", "孙七", "sex", "女", "age", 50));
        BulkResponse response = client.bulk(request, RequestOptions.DEFAULT);
        System.out.println("文档批量新增操作: " + response.getTook());
        System.out.println("文档批量新增操作: " + !response.hasFailures());//是否失败
    }

    //批量删除数据
    public void deleteBatch() throws IOException {
        BulkRequest request = new BulkRequest();
        request.add(new DeleteRequest().index("user").id("1001"));
        request.add(new DeleteRequest().index("user").id("1002"));
        request.add(new DeleteRequest().index("user").id("1003"));
        request.add(new DeleteRequest().index("user").id("1004"));
        request.add(new DeleteRequest().index("user").id("1005"));
        BulkResponse response = client.bulk(request, RequestOptions.DEFAULT);
        System.out.println("文档批量删除操作: " + response.getTook());
        System.out.println("文档批量删除操作: " + !response.hasFailures());//是否失败
    }

    //查询(重点)
    public void searchDoc() throws IOException {
        SearchRequest request = new SearchRequest();
        request.indices("user");
        //1.查询索引中的全部数据
        //request.source(new SearchSourceBuilder().query(QueryBuilders.matchAllQuery()));
        //2.查询年龄为30的数据
        //request.source(new SearchSourceBuilder().query(QueryBuilders.termQuery("age", 30)));
        //3.分页查询,当前第0页,每页两条
        //request.source(new SearchSourceBuilder().query(QueryBuilders.matchAllQuery()).from(0).size(2));
        //4.排序,倒序
        //request.source(new SearchSourceBuilder().query(QueryBuilders.matchAllQuery()).sort("age", SortOrder.DESC));
        //5.过滤字段(排除和包含,也可以是数组)
        //request.source(new SearchSourceBuilder().fetchSource("name", null));
        //6.组合查询
        //BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
        //6.1 must相当于and
        //boolQueryBuilder.must(QueryBuilders.matchQuery("age", 30));
        //boolQueryBuilder.must(QueryBuilders.matchQuery("sex", "女"));
        //6.2 should相当于or
        //boolQueryBuilder.should(QueryBuilders.matchQuery("age", 30));
        //boolQueryBuilder.should(QueryBuilders.matchQuery("sex", "女"));
        //request.source(new SearchSourceBuilder().query(boolQueryBuilder));
        //7.范围查询
        //request.source(new SearchSourceBuilder().query(QueryBuilders.rangeQuery("age").gte(30).lte(40)));
        //8.模糊查询Fuzziness.ONE即只差1个字符
        //request.source(new SearchSourceBuilder().query(QueryBuilders.fuzzyQuery("name", "王五").fuzziness(Fuzziness.ONE)));
        //9.高亮显示
        //SearchSourceBuilder builder = new SearchSourceBuilder().query(QueryBuilders.matchPhraseQuery("name", "张三"));
        //builder.highlighter(new HighlightBuilder().preTags("<font color='red'>").postTags("</font>").field("name"));
        //request.source(builder);
        //10.聚合查询
        //SearchSourceBuilder builder = new SearchSourceBuilder();
        //MaxAggregationBuilder aggregationBuilder = AggregationBuilders.max("maxAge").field("age");
        //builder.aggregation(aggregationBuilder);
        //request.source(builder);
        //11.分组查询
        SearchSourceBuilder builder = new SearchSourceBuilder();
        TermsAggregationBuilder aggregationBuilder = AggregationBuilders.terms("ageGroup").field("age");
        builder.aggregation(aggregationBuilder);
        request.source(builder);
        SearchResponse response = client.search(request, RequestOptions.DEFAULT);
        SearchHits hits = response.getHits();
        System.out.println("--条数: " + hits.getTotalHits());
        System.out.println("--用时: " + response.getTook());
        hits.forEach((item)->{
            System.out.println("--数据: " + item.getSourceAsString());
        });
    }

    public static void main(String[] args) throws IOException {
        ES_Doc doc = new ES_Doc();
        //doc.addDoc();
        //doc.updateDoc();
        //doc.getDoc();
        //doc.deleteDoc();
        //doc.addBatch();
        //doc.deleteBatch();
        doc.searchDoc();
        doc.close();
    }
}

6.spring-data-elasticsearch

实体类: 关键在于@Document和@Field注解
shards 代表分片
replicas 代表副本

@Data
@NoArgsConstructor
@AllArgsConstructor
@Document(indexName = "product", shards = 3, replicas = 1)
public class Product {
 @Id
 private Long id;//商品唯一标识
 @Field(type = FieldType.Text)
 private String title;//商品名称
 @Field(type = FieldType.Keyword)
 private String category;//分类名称
 @Field(type = FieldType.Double)
 private Double price;//商品价格
 @Field(type = FieldType.Keyword,index = false)
 private String images;//图片地址
}

dao层: 这样就已经可以了,类似mybatis-plus的BaseMapper,封装好了一些操作

@Repository
public interface ProductDao extends ElasticsearchRepository<Product,Long> {
}

yaml :不用怎么配置,默认就去找localhost:9200

测试 :不知道为啥dao的很多方法都过时了,看源码注释让回去用elasticsearchRestTemplate,感觉更繁琐

@SpringBootTest
class ElasticsearchApplicationTests {
    @Autowired
    ElasticsearchRestTemplate elasticsearchRestTemplate;
    @Autowired
    ProductDao productDao;

    @Test
    void createIndex() {
        //创建索引，系统初始化会自动创建索引
        System.out.println("创建索引");
    }

    @Test
    void deleteIndex() {
        //创建索引，系统初始化会自动创建索引
        boolean flg = elasticsearchRestTemplate.deleteIndex(Product.class);
        System.out.println("删除索引 = " + flg);
    }

    //新增数据
    @Test
    void addDoc() {
        Product product = new Product();
        product.setId(1001L);
        product.setTitle("华为手机");
        product.setCategory("手机");
        product.setPrice(2999.0);
        product.setImages("www.huawei.com");
        productDao.save(product);
    }

    //修改
    @Test
    void updateDoc() {
        Product product = new Product();
        product.setId(1001L);
        product.setTitle("小米手机");
        product.setCategory("手机");
        product.setPrice(4999.0);
        product.setImages("www.xiaomi.com");
        productDao.save(product);
    }

    //根据 id 查询
    @Test
    void findById() {
        Product product = productDao.findById(1001L).get();
        System.out.println(product);
    }

    //查询所有
    @Test
    void findAll() {
        Iterable<Product> products = productDao.findAll();
        for (Product product : products) {
            System.out.println(product);
        }
    }

    //删除
    @Test
    public void delete() {
        productDao.deleteById(1001L);
    }

    //批量新增
    @Test
    public void saveAll() {
        List<Product> productList = new ArrayList<>();
        for (int i = 0; i < 10; i++) {
            Product product = new Product();
            product.setId((long) i);
            product.setTitle("[" + i + "]小米手机");
            product.setCategory("手机");
            product.setPrice(1999.0 + i);
            product.setImages("http://www.atguigu/xm.jpg");
            productList.add(product);
        }
        productDao.saveAll(productList);
    }

    //分页查询
    @Test
    void findByPageable() {
        Sort orders = Sort.by(Sort.Direction.DESC, "id");
        Pageable pageable = PageRequest.of(0, 5, orders);
        Page<Product> products = productDao.findAll(pageable);
        products.forEach(System.out::println);
    }

    /**
     * term 查询
     * search(termQueryBuilder) 调用搜索方法，参数查询构建器对象
     */
    @Test
    void termQuery() {
        TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("category", "手机");
        Iterable<Product> products = productDao.search(termQueryBuilder);
        products.forEach(System.out::println);
    }

    /**
     * term 查询加分页
     */
    @Test
    void termQueryByPage() {
        PageRequest pageRequest = PageRequest.of(0, 5);
        TermQueryBuilder termQueryBuilder = QueryBuilders.termQuery("category", "手机");
        Iterable<Product> products = productDao.search(termQueryBuilder, pageRequest);
        products.forEach(System.out::println);
    }
}

到此这篇关于elasticSearch-api的具体操作步骤讲解的文章就介绍到这了,更多相关elasticSearch-api详解内容请搜索三水点靠木以前的文章或继续浏览下面的相关文章希望大家以后多多支持三水点靠木！

elasticSearch-api的具体操作步骤讲解

- Author -

丶落幕

声明：登载此文出于传递更多信息之目的，并不意味着赞同其观点或证实其描述。

Java/Android 相关文章推荐
springBoot基于webSocket实现扫码登录
Jun 22 Java/Android
详解Java实现数据结构之并查集
Jun 23 Java/Android
Java中PriorityQueue实现最小堆和最大堆的用法
Jun 27 Java/Android
java实现对Hadoop的操作
Jul 01 Java/Android
JUnit5常用注解的使用
Jul 02 Java/Android
idea以任意顺序debug多线程程序的具体用法
Aug 30 Java/Android
IDEA2021.2配置docker如何将springboot项目打成镜像一键发布部署
Sep 25 Java/Android
SpringBoot+Redis实现布隆过滤器的示例代码
Mar 17 Java/Android
Java基于Dijkstra算法实现校园导游程序
Mar 17 Java/Android
Android Flutter实现3D动画效果示例详解
Apr 07 Java/Android
Java死锁的排查
May 11 Java/Android
java实现web实时消息推送的七种方案
Jul 23 Java/Android
Java SSH 秘钥连接mysql数据库的方法
一篇文章带你复习java知识点
Java elasticsearch安装以及部署教程
Java 数组内置函数toArray详解
Java集成swagger文档组件
死磕 java同步系列之synchronized解析
Jun 28 #Java/Android
利用Java设置Word文本框中的文字旋转方向的实现方法
JSON(10) MybatisPlus(2) Normal From(1) self(1) capture(1) uniapp(4) tabBar(1) Qlabel(1) css3 (2) SpringBoot(22)
You might like
PHP三层结构(上) 简单三层结构
2010/07/04 PHP
php引用地址改变变量值的问题
2012/03/23 PHP
IIS6.0中配置php服务全过程解析
2013/08/07 PHP
PHP 如何利用phpexcel导入数据库
2013/08/24 PHP
thinkphp实现图片上传功能分享
2014/03/04 PHP
Gambit vs CL BO3 第一场 2.13
2021/03/10 DOTA
无阻塞加载脚本分析[全]
2011/01/20 Javascript
网页中可关闭的漂浮窗口实现可自行调节
2013/08/20 Javascript
html文件中jquery与velocity变量中的$冲突的解决方法
2013/11/01 Javascript
jquery禁用右键示例
2014/04/28 Javascript
jquery中EasyUI使用技巧小结
2015/02/10 Javascript
js检测用户输入密码强度
2015/10/22 Javascript
异步加载JS、CSS代码（推荐）
2016/06/15 Javascript
Bootstrap模态框禁用空白处点击关闭
2016/10/20 Javascript
JS简单获取当前日期和农历日期的方法
2017/04/17 Javascript
JavaScript中工厂函数与构造函数示例详解
2019/05/06 Javascript
JavaScript forEach中return失效问题解决方案
2020/06/01 Javascript
js基于canvas实现时钟组件
2021/02/07 Javascript
[37:45]2014 DOTA2国际邀请赛中国区预选赛5.21 DT VS Orenda
2014/05/22 DOTA
[01:00:14]DOTA2-DPC中国联赛 正赛 Ehome vs Elephant BO3 第二场 2月28日
2021/03/11 DOTA
Python 编码规范(Google Python Style Guide)
2018/05/05 Python
python实现飞机大战
2018/09/11 Python
学习python的前途 python挣钱
2019/02/27 Python
对PyQt5中树结构的实现方法详解
2019/06/17 Python
Python迭代器Iterable判断方法解析
2020/03/16 Python
python中scrapy处理项目数据的实例分析
2020/11/22 Python
详解Html5微信支付爬坑之路
2018/07/24 HTML / CSS
HTML5 新旧语法标记对我们有什么好处
2012/12/13 HTML / CSS
HTML5拖拉上传文件的简单实例
2017/01/11 HTML / CSS
美国床垫连锁店：Mattress Firm
2021/02/13 全球购物
捐款倡议书
2014/04/14 职场文书
市场拓展计划书
2014/05/03 职场文书
写给父母的感谢信
2015/01/22 职场文书
自考生自我评价
2019/06/21 职场文书
2019西餐厅创业计划书范文！
2019/07/12 职场文书
《曾国藩家书》读后感——读家书，立家风
2019/08/21 职场文书