一、導包
二、核對導入的ES版本
我的springboot自動導入的是7.6.2的版本,但我搭建的ES是7.7.0,為了避免出異常,需修改導入版本與ES服務版本一致
修改導入版本
-
查看springboot版本號使用的什么properties標簽
- 打開pom文件->按住ctrl點擊artifactId
-
在彈出的pom中按住Ctrl點擊artifactId
-
在彈出的pom中找到elasticsearch版本標簽
-
在項目的pom文件properties標簽中添加需要導入的版本
-
這時回到剛才第一張圖,看es就會變成了指定的版本了
三、寫配置類
我是用的是RestHighLevelClient ,通過官方文檔得知,它需要返回一個RestHighLevelClient 對象,並且使用完后及時關閉客戶端
-
我的配置類
package com.rb.elasticsearch.elasticsearch.conf; import org.apache.http.HttpHost; import org.elasticsearch.client.RestClient; import org.elasticsearch.client.RestHighLevelClient; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; @Configuration public class EsConf { @Bean public RestHighLevelClient restHighLevelClient(){ RestHighLevelClient client = new RestHighLevelClient( RestClient.builder( //new HttpHost("localhost", 9200, "http"),//如果集群,傳入多個地址即可 new HttpHost("192.168.100.112", 9200, "http")));//我的ES地址端口 return client; } } //可以自己寫一個自動裝配類,將ip寫入Yml文件
四、開始測試
索引操作
1.創建索引
注意:索引名字必須小寫
返回值為:{"acknowledged":true,"fragment":false,"shardsAcknowledged":true}
這個返回值和elasticsearch-head創建索引返回的結果一樣
代碼如下:
package com.rb.elasticsearch.elasticsearch;
import com.alibaba.fastjson.JSON;
import org.elasticsearch.client.RequestOptions;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.client.indices.CreateIndexRequest;
import org.elasticsearch.client.indices.CreateIndexResponse;
import org.junit.jupiter.api.Test;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import java.io.IOException;
@SpringBootTest
class ElasticsearchApplicationTests {
@Autowired
RestHighLevelClient restHighLevelClient;
/**
* 創建索引
* @throws IOException
*/
@Test
void createIndex() throws IOException {
CreateIndexRequest request = new CreateIndexRequest("java_index");
CreateIndexResponse createIndexResponse =restHighLevelClient.indices().create(request, RequestOptions.DEFAULT);
System.out.println(JSON.toJSONString(createIndexResponse));//返回值
}
}
2.查看索引是否存在
/**
* 判斷索引是否存在
* @throws IOException
*/
@Test
void checkIndex() throws IOException {
GetIndexRequest getIndexRequest=new GetIndexRequest("java_index");
boolean exists = restHighLevelClient.indices().exists(getIndexRequest, RequestOptions.DEFAULT);
System.out.println(exists);//返回值true:存在 false:不存在
}
3.刪除索引
acknowledged=true表示刪除成功
/**
* 判斷索引是否存在
* @throws IOException
*/
@Test
void delIndex() throws IOException {
DeleteIndexRequest deleteIndexRequest=new DeleteIndexRequest("java_index");
AcknowledgedResponse delete = restHighLevelClient.indices().delete(deleteIndexRequest, RequestOptions.DEFAULT);
System.out.println(JSON.toJSONString(delete));//返回值{"acknowledged":true,"fragment":false}
}
文檔操作
官方舉例是手拼json串,但工作中很少這么用,大多數都是一個model,然后轉成json串,所以先創建一個model
package com.rb.elasticsearch.model;
import lombok.Data;
@Data
public class Users {
String name;
String remark;
int age;
}
1.添加文檔
-
單條添加
/** * 添加文檔 */ @Test void putDoc() throws IOException { if(checkIndexIsExist()){//這個方法見下方“查看文檔是否存在” 如果不判斷是否存在,在沒有創建索引的情況下,它會創建索引 IndexRequest indexRequest=new IndexRequest(Es.INDEX_NAME); indexRequest.id("1"); Users users=new Users(); users.setAge(15); users.setName("張三的名字叫張三"); users.setRemark("張三的備注"); indexRequest.source(JSON.toJSONString(users), XContentType.JSON); IndexResponse index = restHighLevelClient.index(indexRequest, RequestOptions.DEFAULT); System.out.println(JSON.toJSONString(index)); }else{ System.out.println("索引不存在"); } }
-
批量添加
/** * 批量添加 * @throws IOException */ @Test void bulkAddDoc() throws IOException { if(checkIndexIsExist()){//如果不判斷是否存在,在沒有創建索引的情況下,它會創建索引 BulkRequest request=new BulkRequest(); for (int i = 0; i <5 ; i++) {//循環添加五個 int id = i+1; IndexRequest indexRequest=new IndexRequest(Es.INDEX_NAME); Users users=new Users(); users.setRemark("李"+i+"的備注"); users.setName("李"+i+"的名字叫李"+i); users.setAge(i); indexRequest.source(JSON.toJSONString(users),XContentType.JSON); indexRequest.id(String.valueOf(id)); request.add(indexRequest); } BulkResponse bulk = restHighLevelClient.bulk(request, RequestOptions.DEFAULT); System.out.println(JSON.toJSONString(bulk)); } }
2.查看文檔是否存在
/**
* 查看文檔是否存在
* @throws IOException
*/
@Test
void checkDocIsExist() throws IOException {
if(checkIndexIsExist()){
GetRequest getRequest=new GetRequest(Es.INDEX_NAME,"1");
boolean exists = restHighLevelClient.exists(getRequest, RequestOptions.DEFAULT);
System.out.println(exists);//true 存在 false 不存在
}else{
System.out.println("索引不存在");
}
}
3.修改文檔
注意:我的users對象中age是int,默認值是0,如果執行下面批量修改的時候,age不修改的話會默認是0,這樣會將相關索引中age字段值全部修改為0,可以使用Integer
- 單一修改
/**
* 單一修改數據
* @throws IOException
*/
@Test
void updateDoc() throws IOException {
if(checkIndexIsExist()){
UpdateRequest updateRequest=new UpdateRequest(Es.INDEX_NAME,"1");
Users users=new Users();
users.setAge(99);//只修改年齡,其他不動
updateRequest.doc(JSON.toJSONString(users),XContentType.JSON);
restHighLevelClient.update(updateRequest,RequestOptions.DEFAULT);
}
}
-
批量修改
/** * 批量修改數據 * @throws IOException */ @Test void buleUpdateDoc() throws IOException { if(checkIndexIsExist()){ BulkRequest bulkRequest=new BulkRequest(); for (int i = 0; i <5 ; i++) { int id =i+1; UpdateRequest updateRequest=new UpdateRequest(Es.INDEX_NAME,String.valueOf(id)); Users users=new Users(); users.setRemark("批量修改的備注"+i); updateRequest.doc(JSON.toJSONString(users),XContentType.JSON); bulkRequest.add(updateRequest); } restHighLevelClient.bulk(bulkRequest,RequestOptions.DEFAULT); } }
4.刪除文檔
- 單獨刪除
/**
* 刪除文檔
* @throws IOException
*/
@Test
void delDoc() throws IOException {
if(checkIndexIsExist()){//只有索引已經創建的時候才可以繼續
DeleteRequest deleteRequest=new DeleteRequest("java_index","1");
DeleteResponse delete = restHighLevelClient.delete(deleteRequest, RequestOptions.DEFAULT);
System.out.println(delete);
}
}
- 批量刪除
/**
* 批量刪除
* @throws IOException
*/
@Test
void buleDelDoc() throws IOException {
if(checkIndexIsExist()){
BulkRequest bulkRequest=new BulkRequest();
for (int i = 0; i <5 ; i++) {
int id =i+1;
DeleteRequest deleteRequest=new DeleteRequest(Es.INDEX_NAME);
deleteRequest.id(String.valueOf(id));
bulkRequest.add(deleteRequest);
}
restHighLevelClient.bulk(bulkRequest,RequestOptions.DEFAULT);
}
}
五.文檔常用查詢
單一字段查詢
根據id精准查詢
/**
* 根據id查詢
* @throws IOException
*/
@Test
void termSelectById() throws IOException {
if(checkIndexIsExist()){
GetRequest getRequest1 = new GetRequest(Es.INDEX_NAME, "1");
//也可使用下面的方式
//GetRequest getRequest=new GetRequest(Es.INDEX_NAME);
//getRequest.id("1");
GetResponse documentFields = restHighLevelClient.get(getRequest1, RequestOptions.DEFAULT);
System.out.println(JSON.toJSONString(documentFields));
}
}
根據某字段精准查詢
(select * from users where age=1)
/**
* 根據某字段精准查詢
* @throws IOException
*/
@Test
void termSelectByField() throws IOException {
if(checkIndexIsExist()){
SearchRequest searchRequest=new SearchRequest(Es.INDEX_NAME);
SearchSourceBuilder searchSourceBuilder=new SearchSourceBuilder();
searchSourceBuilder.query(QueryBuilders.termQuery("age",1));
searchRequest.source(searchSourceBuilder);
SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
System.out.println(JSON.toJSONString(search));
}
}
根據某字段模糊查詢
(select * from users where remark like '%0%')
/**
* 根據某個字段模糊查詢
* @throws IOException
*/
@Test
void matchSelectByField() throws IOException {
if(checkIndexIsExist()){
SearchRequest searchRequest=new SearchRequest(Es.INDEX_NAME);
SearchSourceBuilder searchSourceBuilder=new SearchSourceBuilder();
searchSourceBuilder.query(QueryBuilders.matchQuery("remark","0"));
searchRequest.source(searchSourceBuilder);
SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
System.out.println(JSON.toJSONString(search.getHits().getHits()));
}
}
多條件查詢
多條件And查詢
(select * from users where name like '%因為是match,會被分詞%' and age=0)
/**
* 多條件查詢
* @throws IOException
*/
@Test
void multipleFieldSelectByMust() throws IOException {
if(checkIndexIsExist()){
SearchRequest searchRequest = new SearchRequest(Es.INDEX_NAME);//定義請求
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();//構建查詢條件器
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();//選擇返回值(滿足查詢條件的返回true,不滿足是false)
boolQueryBuilder.must(QueryBuilders.matchQuery("name","李0的名字叫李0"));//查詢條件一
boolQueryBuilder.must(QueryBuilders.termQuery("age","0"));//查詢條件二
System.out.println(boolQueryBuilder.must());//輸出構建好的查詢條件一、二
searchSourceBuilder.query(boolQueryBuilder);//將條件完善的對象放入
searchRequest.source(searchSourceBuilder);//向查詢請求中放入查詢條件
SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);//執行查詢
System.out.println(JSON.toJSONString(search.getHits().getHits()));//查看結果
}
}
這一步我認為有點繞,java代碼邏輯和上一篇說的命令先后邏輯是一樣的,我的研究方式為逆推法(自己這么起的名字)
-
第一步:restHighLevelClient.search先把這個敲出來,發現這個方法需要一個SearchRequest對象
-
第二步:new 一個 SearchRequest 這個對象,然后命令順序下一步是“query”,我就找到了searchSourceBuilder.query()方法,重復第一步,發現query方法需要一個BoolQueryBuilder對象
-
第三步:new 一個 BoolQueryBuilder這個對象,然后重復第二步,觀察命令順序,這時會傳入must\must_not等信息,我就在官方提供的QueryBuilders中找到了相應的方法boolQueryBuilder.must()
- 這時,我發現一個卡點,命令上會傳入一個多條件數組,java中肯定會傳入一個多條件的對象,但是沒有在QueryBuilders找到入參為數組的, 愁壞我了,去官網翻了一下,看到了下圖,意思是可多調用多次,然后我就調用了兩次
- 這時,我發現一個卡點,命令上會傳入一個多條件數組,java中肯定會傳入一個多條件的對象,但是沒有在QueryBuilders找到入參為數組的, 愁壞我了,去官網翻了一下,看到了下圖,意思是可多調用多次,然后我就調用了兩次
-
第四步:因為第三步不確定,但是BoolQueryBuilder這個類中卻有返回一個數組的方法,調用看看
System.out.println(boolQueryBuilder.must());//輸出構建好的查詢條件一、二
-
結果和我想的一樣,成功了
-
為了加深上面的印象,我將這塊命令順序同步標記了一下java代碼的位置,更方便理解:
GET users/_doc/_search //后的_search就是 SearchRequest 定義請求
{
"query":{//searchSourceBuilder.query(boolQueryBuilder);//將條件完善的對象放入
"bool":{//BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();//選擇返回值(滿足查詢條件的返回true,不滿足是false)
"must":[//boolQueryBuilder.must()
{
"term"://QueryBuilders.termQuery("age","0");每調用一次就多一個查詢條件
{
"name":"張三的名字叫張三"
}
} ,
{
"match"://QueryBuilders.matchQuery("name","李0的名字叫李0")
{
"age":"15"
}
}
]
}
}
}
多條件OR查詢
(select * from users where remark like '%1%' or age=0) 注:%1%里的1使用了match,會被分詞
/**
* 多條件查詢OR
* @throws IOException
*/
@Test
void multipleFieldSelectByShould() throws IOException {
if(checkIndexIsExist()){
SearchRequest searchRequest = new SearchRequest(Es.INDEX_NAME);
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
boolQueryBuilder.should(QueryBuilders.matchQuery("remark","1"));
boolQueryBuilder.should(QueryBuilders.termQuery("age","0"));
searchSourceBuilder.query(boolQueryBuilder);
searchRequest.source(searchSourceBuilder);
SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
System.out.println(JSON.toJSONString(search.getHits().getHits()));
}
}
多條件!=查詢
(select * from users where age !=0 and age !=1)
/**
* 多條件查詢!=
* @throws IOException
*/
@Test
void multipleFieldSelectByMustNot() throws IOException {
if(checkIndexIsExist()){
SearchRequest searchRequest = new SearchRequest(Es.INDEX_NAME);
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
boolQueryBuilder.mustNot(QueryBuilders.termQuery("age","1"));//QueryBuilders里面的查詢方式可以隨意換
boolQueryBuilder.mustNot(QueryBuilders.termQuery("age","0"));//QueryBuilders里面的查詢方式可以隨意換
searchSourceBuilder.query(boolQueryBuilder);
searchRequest.source(searchSourceBuilder);
SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
System.out.println(JSON.toJSONString(search.getHits().getHits()));
}
}
范圍查詢
(select * from users where age >=0 and age <=2)
gt 大於
gte 大於等於
lt 小於
lte 小於等於!
/**
* 根據字段范圍查詢
* @throws IOException
*/
@Test
void multipleFieldSelectByRange() throws IOException {
if(checkIndexIsExist()){
SearchRequest searchRequest = new SearchRequest(Es.INDEX_NAME);
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
BoolQueryBuilder boolQueryBuilder = QueryBuilders.boolQuery();
//再此處還可以加上面的各種查詢條件↓↓↓
//再此處還可以加上面的各種查詢條件↑↑↑
boolQueryBuilder.filter(QueryBuilders.rangeQuery("age").gte(0));
boolQueryBuilder.filter(QueryBuilders.rangeQuery("age").lte(2));
searchSourceBuilder.query(boolQueryBuilder);
searchRequest.source(searchSourceBuilder);
restHighLevelClient.search(searchRequest,RequestOptions.DEFAULT);
SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
System.out.println(JSON.toJSONString(search.getHits().getHits()));
}
}
自定義字段返回
/**
* 顯示指定字段
* @throws IOException
*/
@Test
void returnField() throws IOException {
if(checkIndexIsExist()){
SearchRequest searchRequest = new SearchRequest(Es.INDEX_NAME);
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
String[] includeFields = new String[] {"name", "age"};//要顯示的哪些字段
String[] excludeFields = new String[] {""};//要排除的哪些字段
searchSourceBuilder.fetchSource(includeFields,excludeFields);
searchRequest.source(searchSourceBuilder);
SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
System.out.println(JSON.toJSONString(search.getHits().getHits()));
}
}
排序
select * from users where remark like '%的備注%' and remark like '%3%' order by _score desc , age desc
查詢包含“的備注”、“3”的記錄(傳入參數會被分詞),並且按照匹配度_score這個字段排序,數值越大的匹配度越高,然后按照年齡age降序排序
/**
* 排序
* @throws IOException
*/
@Test
void sort() throws IOException {
if(checkIndexIsExist()){
SearchRequest searchRequest = new SearchRequest(Es.INDEX_NAME);
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
searchSourceBuilder.query(QueryBuilders.matchQuery("remark","的備注 3"));
searchSourceBuilder.sort("_score",SortOrder.DESC);
searchSourceBuilder.sort("age",SortOrder.DESC);
searchRequest.source(searchSourceBuilder);
SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
System.out.println(JSON.toJSONString(search));
}
}
高亮查詢
public String test() throws IOException {
SearchRequest searchRequest=new SearchRequest(Es.INDEX_NAME);
SearchSourceBuilder searchSourceBuilder=new SearchSourceBuilder();
//構建查詢條件start
searchSourceBuilder.query(QueryBuilders.matchQuery("name","名 叫"));//模糊搜索
//searchSourceBuilder.query(QueryBuilders.termQuery("name.keyword","李0的名字叫李0"));//精准搜索
//構建查詢條件end
//高亮start
HighlightBuilder highlightBuilder = new HighlightBuilder();
highlightBuilder.field("name");
//highlightBuilder.field("name.keyword");//與上方設置的name保持一致
highlightBuilder.preTags("<mytag style='color:red'>");//自定義標簽&樣式
highlightBuilder.postTags("</mytag>");//自定義標簽&樣式
searchSourceBuilder.highlighter(highlightBuilder);
//高亮end
searchRequest.source(searchSourceBuilder);
SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
List<Map<String, Object>> list=new ArrayList();
//高亮條件封裝start
for (SearchHit hit : search.getHits().getHits()) {
Map<String, HighlightField> highlightFields = hit.getHighlightFields();
HighlightField remark = highlightFields.get("name");
// HighlightField remark = highlightFields.get("name.keyword");//與上方設置的name保持一致
Map<String, Object> sourceAsMap = hit.getSourceAsMap();
if(remark!=null){
Text[] fragments = remark.fragments();
String desc="";
for (Text fragment : fragments) {
desc+=fragment;
}
//sourceAsMap.put("name.keyword",desc);
sourceAsMap.put("name",desc);
list.add(sourceAsMap);
}
}
//高亮條件封裝end
return JSON.toJSONString(search);
}
結果如下:
獲得指定索引下滿足條件的總記錄數據
/**
* 查詢指定索引中總共有多少條數據
* @throws IOException
*/
@Test
void getTotalCount() throws IOException {
CountRequest countRequest = new CountRequest(Es.INDEX_NAME);
//可以自定義設置上面的一些查詢條件start
//可以自定義設置上面的一些查詢條件end
CountResponse count = restHighLevelClient.count(countRequest, RequestOptions.DEFAULT);
System.out.println(JSON.toJSONString(count));
}
分頁查詢
from:從第幾條數據開始(>關系,非>=)
size:查詢幾條數據
/**
* 分頁查詢
* @throws IOException
*/
@Test
void pageSelect() throws IOException {
if(checkIndexIsExist()){
SearchRequest searchRequest=new SearchRequest(Es.INDEX_NAME);
SearchSourceBuilder searchSourceBuilder = new SearchSourceBuilder();
//設置搜索條件
searchSourceBuilder.query(QueryBuilders.matchQuery("remark","的備注"));
searchSourceBuilder.from(2);//從索引第幾個開始查找,索引從0 開始
searchSourceBuilder.size(2);//顯示from至from+size的數據
//例如:查詢id1~2的數據,from=0 ,size=2
// 查詢id3-4的數據,from=2, size=2
searchRequest.source(searchSourceBuilder);
SearchResponse search = restHighLevelClient.search(searchRequest, RequestOptions.DEFAULT);
System.out.println(JSON.toJSONString(search.getHits().getHits()));
}
}
六、集成好的項目
https://files-cdn.cnblogs.com/files/rb2010/elasticsearch.zip