springboot2如何集成ElasticSearch6.4.3
作者：琴瑟裹腹
这篇文章主要介绍了springboot2如何集成ElasticSearch6.4.3问题，具有很好的参考价值，希望对大家有所帮助。如有错误或未考虑完全的地方，望不吝赐教
springboot2集成ElasticSearch6.4.3
- springboot版本：2.0.0
- ES版本：6.4.3
es的服务器部署过程不再赘述，网上资源很多。
（1）pom文件
<dependency> <groupId>org.elasticsearch</groupId> <artifactId>elasticsearch</artifactId> <version>6.4.3</version> </dependency> <!-- https://mvnrepository.com/artifact/org.elasticsearch.client/transport --> <dependency> <groupId>org.elasticsearch.client</groupId> <artifactId>transport</artifactId> <version>6.4.3</version> <exclusions> <exclusion> <groupId>org.elasticsearch</groupId> <artifactId>elasticsearch</artifactId> </exclusion> </exclusions> </dependency>
（2）yml文件
spring:
data:
elasticsearch:
cluster-name: es
ip: 10.10.77.142
port : 9300
pool : 1
logPath : 1 # 选择日志存入的方式，1 将日志存入ElasticSearch；2存入数据库（3）创建ElasticsearchConfig类
进行ES的初始化连接
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.settings.Settings;
import org.elasticsearch.common.transport.TransportAddress;
import org.elasticsearch.transport.client.PreBuiltTransportClient;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import java.net.InetAddress;
/**
* Created by dell on 2019/5/30.
*/
@Configuration
public class ElasticsearchConfig {
private static final Logger LOGGER = LoggerFactory.getLogger(ElasticsearchConfig.class);
/**
* elk集群地址
*/
@Value("${spring.data.elasticsearch.ip}")
private String hostName;
/**
* 端口
*/
@Value("${spring.data.elasticsearch.port}")
private String port;
/**
* 集群名称
*/
@Value("${spring.data.elasticsearch.cluster-name}")
private String clusterName;
/**
* 连接池
*/
@Value("${spring.data.elasticsearch.pool}")
private String poolSize;
/**
* Bean name default 函数名字
*
* @return
*/
@Bean(name = "transportClient")
public TransportClient transportClient() {
LOGGER.info("Elasticsearch初始化开始。。。。。");
TransportClient transportClient = null;
try {
// 配置信息
Settings esSetting = Settings.builder()
.put("cluster.name", clusterName) //集群名字
.put("client.transport.sniff", true)//增加嗅探机制，找到ES集群
.put("thread_pool.search.size", Integer.parseInt(poolSize))//增加线程池个数，暂时设为5
.build();
//配置信息Settings自定义
transportClient = new PreBuiltTransportClient(esSetting);
TransportAddress transportAddress = new TransportAddress(InetAddress.getByName(hostName), Integer.valueOf(port));
transportClient.addTransportAddresses(transportAddress);
} catch (Exception e) {
LOGGER.error("elasticsearch TransportClient create error!!", e);
}
return transportClient;
}
}（4）创建ES分页工具
import java.util.List;
import java.util.Map;
/**
* Created by dell on 2019/5/30.
*/
public class EsPage {
/**
* 当前页
*/
private int currentPage;
/**
* 每页显示多少条
*/
private int pageSize;
/**
* 总记录数
*/
private int recordCount;
/**
* 本页的数据列表
*/
private List<Map<String, Object>> recordList;
/**
* 总页数
*/
private int pageCount;
/**
* 页码列表的开始索引（包含）
*/
private int beginPageIndex;
/**
* 页码列表的结束索引（包含）
*/
private int endPageIndex;
/**
* 只接受前4个必要的属性，会自动的计算出其他3个属性的值
*
* @param currentPage
* @param pageSize
* @param recordCount
* @param recordList
*/
public EsPage(int currentPage, int pageSize, int recordCount, List<Map<String, Object>> recordList) {
this.currentPage = currentPage;
this.pageSize = pageSize;
this.recordCount = recordCount;
this.recordList = recordList;
// 计算总页码
pageCount = (recordCount + pageSize - 1) / pageSize;
// 计算 beginPageIndex 和 endPageIndex
// >> 总页数不多于10页，则全部显示
if (pageCount <= 10) {
beginPageIndex = 1;
endPageIndex = pageCount;
}
// 总页数多于10页，则显示当前页附近的共10个页码
else {
// 当前页附近的共10个页码（前4个 + 当前页 + 后5个）
beginPageIndex = currentPage - 4;
endPageIndex = currentPage + 5;
// 当前面的页码不足4个时，则显示前10个页码
if (beginPageIndex < 1) {
beginPageIndex = 1;
endPageIndex = 10;
}
// 当后面的页码不足5个时，则显示后10个页码
if (endPageIndex > pageCount) {
endPageIndex = pageCount;
beginPageIndex = pageCount - 10 + 1;
}
}
}
}（5）创建ES工具类ElasticsearchUtil
import com.alibaba.fastjson.JSONObject;
import org.apache.commons.lang.StringUtils;
import org.elasticsearch.action.admin.indices.create.CreateIndexResponse;
import org.elasticsearch.action.admin.indices.delete.DeleteIndexResponse;
import org.elasticsearch.action.admin.indices.exists.indices.IndicesExistsRequest;
import org.elasticsearch.action.admin.indices.exists.indices.IndicesExistsResponse;
import org.elasticsearch.action.delete.DeleteResponse;
import org.elasticsearch.action.get.GetRequestBuilder;
import org.elasticsearch.action.get.GetResponse;
import org.elasticsearch.action.index.IndexResponse;
import org.elasticsearch.action.search.SearchRequestBuilder;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.action.search.SearchType;
import org.elasticsearch.action.update.UpdateRequest;
import org.elasticsearch.client.transport.TransportClient;
import org.elasticsearch.common.text.Text;
import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.metrics.max.Max;
import org.elasticsearch.search.aggregations.metrics.max.MaxAggregationBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.sort.SortOrder;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Component;
import javax.annotation.PostConstruct;
import java.util.ArrayList;
import java.util.List;
import java.util.Map;
import java.util.UUID;
/**
* Created by dell on 2019/5/30.
*/
@Component
public class ElasticsearchUtil {
private static final Logger LOGGER = LoggerFactory.getLogger(ElasticsearchUtil.class);
@Autowired
private TransportClient transportClient;
private static TransportClient client;
/**
* @PostContruct是spring框架的注解 spring容器初始化的时候执行该方法
*/
@PostConstruct
public void init() {
client = this.transportClient;
}
/**
* 创建索引
*
* @param index
* @return
*/
public static boolean createIndex(String index) {
if (!isIndexExist(index)) {
LOGGER.info("Index is not exits!");
}
CreateIndexResponse indexresponse = client.admin().indices().prepareCreate(index).execute().actionGet();
LOGGER.info("执行建立成功？" + indexresponse.isAcknowledged());
return indexresponse.isAcknowledged();
}
/**
* 删除索引
*
* @param index
* @return
*/
public static boolean deleteIndex(String index) {
if (!isIndexExist(index)) {
LOGGER.info("Index is not exits!");
}
DeleteIndexResponse dResponse = client.admin().indices().prepareDelete(index).execute().actionGet();
if (dResponse.isAcknowledged()) {
LOGGER.info("delete index " + index + " successfully!");
} else {
LOGGER.info("Fail to delete index " + index);
}
return dResponse.isAcknowledged();
}
/**
* 判断索引是否存在
*
* @param index
* @return
*/
public static boolean isIndexExist(String index) {
IndicesExistsResponse inExistsResponse = client.admin().indices().exists(new IndicesExistsRequest(index)).actionGet();
if (inExistsResponse.isExists()) {
LOGGER.info("Index [" + index + "] is exist!");
} else {
LOGGER.info("Index [" + index + "] is not exist!");
}
return inExistsResponse.isExists();
}
/**
* @Author: LX
* @Description: 判断inde下指定type是否存在
* @Date: 2018/11/6 14:46
* @Modified by:
*/
public boolean isTypeExist(String index, String type) {
return isIndexExist(index)
? client.admin().indices().prepareTypesExists(index).setTypes(type).execute().actionGet().isExists()
: false;
}
/**
* 数据添加，正定ID
*
* @param jsonObject 要增加的数据
* @param index 索引，类似数据库
* @param type 类型，类似表
* @param id 数据ID
* @return
*/
public static String addData(JSONObject jsonObject, String index, String type, String id) {
IndexResponse response = client.prepareIndex(index, type, id).setSource(jsonObject).get();
LOGGER.info("addData response status:{},id:{}", response.status().getStatus(), response.getId());
return response.getId();
}
/**
* 数据添加
*
* @param jsonObject 要增加的数据
* @param index 索引，类似数据库
* @param type 类型，类似表
* @return
*/
public static String addData(JSONObject jsonObject, String index, String type) {
return addData(jsonObject, index, type, UUID.randomUUID().toString().replaceAll("-", "").toUpperCase());
}
/**
* 通过ID删除数据
* @param
* @param
* @param
*/
public static SearchHits getDataByFiledList(QueryBuilder builder,String index,String type) {
SearchRequestBuilder srb=client.prepareSearch(index).setTypes(type);
if (null != builder ){
SearchResponse sr = srb.setQuery(builder).execute().actionGet();
SearchHits hits = sr.getHits();
return hits;
}else {
LOGGER.info("filedMapList length is 0!");
}
return null;
}
/**
* 通过ID删除数据
*
* @param index 索引，类似数据库
* @param type 类型，类似表
* @param id 数据ID
*/
public static void deleteDataById(String index, String type, String id) {
DeleteResponse response = client.prepareDelete(index, type, id).execute().actionGet();
LOGGER.info("deleteDataById response status:{},id:{}", response.status().getStatus(), response.getId());
}
/**
* 聚合查询某个字段最大值
*
* @param index 索引，类似数据库
* @param type 类型，类似表
* @param
*/
public static int max(String index, String type, String file) {
//指定分组求最大值
MaxAggregationBuilder maxAgg = AggregationBuilders.max("max_value").field(file);
SearchResponse response = client.prepareSearch(index).setTypes(type).addAggregation(maxAgg).get();
Max max = response.getAggregations().get("max_value");
System.out.println(max.getValue());
return (int) max.getValue();
}
/**
* 通过ID 更新数据
*
* @param jsonObject 要增加的数据
* @param index 索引，类似数据库
* @param type 类型，类似表
* @param id 数据ID
* @return
*/
public static void updateDataById(JSONObject jsonObject, String index, String type, String id) {
UpdateRequest updateRequest = new UpdateRequest();
updateRequest.index(index).type(type).id(id).doc(jsonObject);
client.update(updateRequest);
}
/**
* 通过ID获取数据
*
* @param index 索引，类似数据库
* @param type 类型，类似表
* @param id 数据ID
* @param fields 需要显示的字段，逗号分隔（缺省为全部字段）
* @return
*/
public static Map<String, Object> searchDataById(String index, String type, String id, String fields) {
GetRequestBuilder getRequestBuilder = client.prepareGet(index, type, id);
if (StringUtils.isNotEmpty(fields)) {
getRequestBuilder.setFetchSource(fields.split(","), null);
}
GetResponse getResponse = getRequestBuilder.execute().actionGet();
return getResponse.getSource();
}
/**
* 使用分词查询,并分页
*
* @param index 索引名称
* @param type 类型名称,可传入多个type逗号分隔
* @param startPage 当前页
* @param pageSize 每页显示条数
* @param query 查询条件
* @param fields 需要显示的字段，逗号分隔（缺省为全部字段）
* @param sortField 排序字段
* @param highlightField 高亮字段
* @return
*/
public static EsPage searchDataPage(String index, String type, int startPage, int pageSize, QueryBuilder query, String fields, String sortField, String highlightField) {
SearchRequestBuilder searchRequestBuilder = client.prepareSearch(index);
if (StringUtils.isNotEmpty(type)) {
searchRequestBuilder.setTypes(type.split(","));
}
searchRequestBuilder.setSearchType(SearchType.QUERY_THEN_FETCH);
// 需要显示的字段，逗号分隔（缺省为全部字段）
if (StringUtils.isNotEmpty(fields)) {
searchRequestBuilder.setFetchSource(fields.split(","), null);
}
//排序字段
if (StringUtils.isNotEmpty(sortField)) {
searchRequestBuilder.addSort(sortField, SortOrder.DESC);
}
// 高亮（xxx=111,aaa=222）
if (StringUtils.isNotEmpty(highlightField)) {
HighlightBuilder highlightBuilder = new HighlightBuilder();
//highlightBuilder.preTags("<span style='color:red' >");//设置前缀
//highlightBuilder.postTags("</span>");//设置后缀
// 设置高亮字段
highlightBuilder.field(highlightField);
searchRequestBuilder.highlighter(highlightBuilder);
}
//searchRequestBuilder.setQuery(QueryBuilders.matchAllQuery());
searchRequestBuilder.setQuery(query);
// 分页应用
searchRequestBuilder.setFrom(startPage).setSize(pageSize);
// 设置是否按查询匹配度排序
searchRequestBuilder.setExplain(true);
//打印的内容 可以在 Elasticsearch head 和 Kibana 上执行查询
LOGGER.info("\n{}", searchRequestBuilder);
// 执行搜索,返回搜索响应信息
SearchResponse searchResponse = searchRequestBuilder.execute().actionGet();
long totalHits = searchResponse.getHits().totalHits;
long length = searchResponse.getHits().getHits().length;
LOGGER.debug("共查询到[{}]条数据,处理数据条数[{}]", totalHits, length);
if (searchResponse.status().getStatus() == 200) {
// 解析对象
List<Map<String, Object>> sourceList = setSearchResponse(searchResponse, highlightField);
return new EsPage(startPage, pageSize, (int) totalHits, sourceList);
}
return null;
}
/**
* 使用分词查询
*
* @param index 索引名称
* @param type 类型名称,可传入多个type逗号分隔
* @param query 查询条件
* @param size 文档大小限制
* @param fields 需要显示的字段，逗号分隔（缺省为全部字段）
* @param sortField 排序字段
* @param highlightField 高亮字段
* @return
*/
public static List<Map<String, Object>> searchListData(
String index, String type, QueryBuilder query, Integer size,
String fields, String sortField, String highlightField) {
SearchRequestBuilder searchRequestBuilder = client.prepareSearch(index);
if (StringUtils.isNotEmpty(type)) {
searchRequestBuilder.setTypes(type.split(","));
}
if (StringUtils.isNotEmpty(highlightField)) {
HighlightBuilder highlightBuilder = new HighlightBuilder();
// 设置高亮字段
highlightBuilder.field(highlightField);
searchRequestBuilder.highlighter(highlightBuilder);
}
searchRequestBuilder.setQuery(query);
if (StringUtils.isNotEmpty(fields)) {
searchRequestBuilder.setFetchSource(fields.split(","), null);
}
searchRequestBuilder.setFetchSource(true);
if (StringUtils.isNotEmpty(sortField)) {
searchRequestBuilder.addSort(sortField, SortOrder.DESC);
}
if (size != null && size > 0) {
searchRequestBuilder.setSize(size);
}
//打印的内容 可以在 Elasticsearch head 和 Kibana 上执行查询
LOGGER.info("\n{}", searchRequestBuilder);
SearchResponse searchResponse = searchRequestBuilder.execute().actionGet();
long totalHits = searchResponse.getHits().totalHits;
long length = searchResponse.getHits().getHits().length;
LOGGER.info("共查询到[{}]条数据,处理数据条数[{}]", totalHits, length);
if (searchResponse.status().getStatus() == 200) {
// 解析对象
return setSearchResponse(searchResponse, highlightField);
}
return null;
}
/**
* 高亮结果集 特殊处理
*
* @param searchResponse
* @param highlightField
*/
private static List<Map<String, Object>> setSearchResponse(SearchResponse searchResponse, String highlightField) {
List<Map<String, Object>> sourceList = new ArrayList<Map<String, Object>>();
StringBuffer stringBuffer = new StringBuffer();
for (SearchHit searchHit : searchResponse.getHits().getHits()) {
searchHit.getSourceAsMap().put("id", searchHit.getId());
if (StringUtils.isNotEmpty(highlightField)) {
System.out.println("遍历 高亮结果集，覆盖 正常结果集" + searchHit.getSourceAsMap());
Text[] text = searchHit.getHighlightFields().get(highlightField).getFragments();
if (text != null) {
for (Text str : text) {
stringBuffer.append(str.string());
}
//遍历 高亮结果集，覆盖 正常结果集
searchHit.getSourceAsMap().put(highlightField, stringBuffer.toString());
}
}
sourceList.add(searchHit.getSourceAsMap());
}
return sourceList;
}
}（6）测试controller
package com.supconit.data.algorithm.platform.executor.controller;
import com.alibaba.fastjson.JSONObject;
import com.supconit.data.algorithm.platform.common.entity.scheme.execution.ExecutionModule;
import com.supconit.data.algorithm.platform.common.entity.scheme.execution.ExecutionScheme;
import com.supconit.data.algorithm.platform.executor.ElasticSearch.ElasticsearchUtil;
import com.supconit.data.algorithm.platform.executor.ElasticSearch.EsPage;
import org.apache.commons.lang.StringUtils;
import org.elasticsearch.index.query.BoolQueryBuilder;
import org.elasticsearch.index.query.QueryBuilder;
import org.elasticsearch.index.query.QueryBuilders;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilder;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import javax.servlet.http.HttpServletRequest;
import javax.servlet.http.HttpServletResponse;
import java.util.Date;
import java.util.List;
import java.util.Map;
import java.util.Random;
/**
* Created by dell on 2019/5/29.
*/
@RestController
@RequestMapping("/es")
public class esTestDemo {
/**
* 测试索引
*/
private String indexName = "execution_module";
/**
* 类型
*/
private String esType = "module";
/**
* http://127.0.0.1:8080/es/createIndex
* 创建索引
*
* @param request
* @param response
* @return
*/
@RequestMapping("/createIndex")
public String createIndex(HttpServletRequest request, HttpServletResponse response) {
if (!ElasticsearchUtil.isIndexExist(indexName)) {
ElasticsearchUtil.createIndex(indexName);
} else {
return "索引已经存在";
}
return "索引创建成功";
}
/**
* http://127.0.0.1:8080/es/createIndex
* 删除索引
*
* @param request
* @param response
* @return
*/
@RequestMapping("/deleteIndex")
public String deleteIndex(HttpServletRequest request, HttpServletResponse response) {
ElasticsearchUtil.deleteIndex(indexName);
return "索引创建成功";
}
/**
* 插入记录
*
* @return
*/
@RequestMapping("/insertJson")
public String insertJson() {
JSONObject jsonObject = new JSONObject();
jsonObject.put("id", 1);
jsonObject.put("age", 25);
jsonObject.put("name", "j-" + new Random(100).nextInt());
jsonObject.put("date", new Date());
String id = ElasticsearchUtil.addData(jsonObject, indexName, esType, jsonObject.getString("id"));
return id;
}
/**
* 插入记录
*
* @return
*/
@RequestMapping("/insertModel")
public String insertModel() {
ExecutionModule executionModule = new ExecutionModule();
executionModule.setExecId(4);
executionModule.setEndTime(123124124);
executionModule.setInstanceId(1);
executionModule.setModuleId(1);
executionModule.setModuleName("123321");
executionModule.setOrders(4);
executionModule.setProgress(100);
executionModule.setRetryTime(2);
executionModule.setStatus(1);
executionModule.setSchemeId(2);
// ExecutionScheme executionScheme = new ExecutionScheme();
// executionScheme.setExecId(2);
// executionScheme.setExecutorId(1);
// executionScheme.setEndTime(1233132131);
// executionScheme.setRetryTime(2);
// executionScheme.setSchemeName("测试");
JSONObject jsonObject = (JSONObject) JSONObject.toJSON(executionModule);
// jsonObject.put("id",executionScheme.getExecId());
String id = ElasticsearchUtil.addData(jsonObject, indexName, esType, jsonObject.getString("id"));
return id;
}
/**
* 删除记录
*
* @return
*/
@RequestMapping("/delete")
public String delete(String id) {
if (StringUtils.isNotBlank(id)) {
ElasticsearchUtil.deleteDataById(indexName, esType, id);
return "删除id=" + id;
} else {
return "id为空";
}
}
/**
* 更新数据
*
* @return
*/
@RequestMapping("/update")
public String update(String id) {
if (StringUtils.isNotBlank(id)) {
ExecutionScheme executionScheme = new ExecutionScheme();
executionScheme.setExecId(1);
executionScheme.setExecutorId(1);
executionScheme.setEndTime(1233132131);
executionScheme.setRetryTime(2);
executionScheme.setSchemeName("测试123");
JSONObject jsonObject = (JSONObject) JSONObject.toJSON(executionScheme);
ElasticsearchUtil.updateDataById(jsonObject, indexName, esType, id);
return "id=" + id;
} else {
return "id为空";
}
}
/**
* 获取数据
* http://127.0.0.1:8080/es/getData?id=2018-04-25%2016:33:44
*
* @param id
* @return
*/
@RequestMapping("/getData")
public String getData(String id) {
if (StringUtils.isNotBlank(id)) {
Map<String, Object> map = ElasticsearchUtil.searchDataById(indexName, esType, id, null);
return JSONObject.toJSONString(map);
} else {
return "id为空";
}
}
/**
* 多条件查询
* http://127.0.0.1:8080/es/getData?id=2018-04-25%2016:33:44
*
* @param
* @return
*/
@RequestMapping("/getDataByFiled")
public SearchHits getDataByFiled() {
ExecutionModule executionModule = new ExecutionModule();
executionModule.setExecId(4);
executionModule.setEndTime(123124124);
executionModule.setInstanceId(1);
executionModule.setModuleId(1);
executionModule.setModuleName("123 321 123 321");
executionModule.setOrders(4);
executionModule.setProgress(100);
executionModule.setRetryTime(2);
executionModule.setStatus(1);
executionModule.setSchemeId(2);
QueryBuilder queryBuilder1 = QueryBuilders.matchPhraseQuery("instanceId","1");
QueryBuilder queryBuilder2 = QueryBuilders.matchPhraseQuery("schemeId","1");
QueryBuilder queryBuilder3 = QueryBuilders.matchPhraseQuery("execId","4");
QueryBuilder queryBuilder4 = QueryBuilders.boolQuery().must(queryBuilder1).must(queryBuilder2).must(queryBuilder3);
//ExecutionModule 是我自己项目的类，测试换成你自己的类；上面一顿操作QueryBuilder 的意思是根据instanceId、execId、schemeId这三个字段来筛选数据
SearchHits hits = ElasticsearchUtil.getDataByFiledList(queryBuilder4,indexName, esType);
for(SearchHit hit:hits) {
System.out.println(hit.getSourceAsString());
}
return hits;
}
/**
* 查询数据
* 模糊查询
*
* @return
*/
@RequestMapping("/queryMatchData")
public String queryMatchData() {
BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
boolean matchPhrase = false;
if (matchPhrase == Boolean.TRUE) {
//不进行分词搜索
boolQuery.must(QueryBuilders.matchPhraseQuery("name", "m"));
} else {
boolQuery.must(QueryBuilders.matchQuery("name", "m-m"));
}
List<Map<String, Object>> list = ElasticsearchUtil.
searchListData(indexName, esType, boolQuery, 10, "name", null, "name");
return JSONObject.toJSONString(list);
}
/**
* 通配符查询数据
* 通配符查询 ?用来匹配1个任意字符，*用来匹配零个或者多个字符
*
* @return
*/
@RequestMapping("/queryWildcardData")
public String queryWildcardData() {
QueryBuilder queryBuilder = QueryBuilders.wildcardQuery("name.keyword", "j-?466");
List<Map<String, Object>> list = ElasticsearchUtil.searchListData(indexName, esType, queryBuilder, 10, null, null, null);
return JSONObject.toJSONString(list);
}
/**
* 正则查询
*
* @return
*/
@RequestMapping("/queryRegexpData")
public String queryRegexpData() {
QueryBuilder queryBuilder = QueryBuilders.regexpQuery("name.keyword", "m--[0-9]{1,11}");
List<Map<String, Object>> list = ElasticsearchUtil.searchListData(indexName, esType, queryBuilder, 10, null, null, null);
return JSONObject.toJSONString(list);
}
/**
* 查询数字范围数据
*
* @return
*/
@RequestMapping("/queryIntRangeData")
public String queryIntRangeData() {
BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
boolQuery.must(QueryBuilders.rangeQuery("age").from(21)
.to(25));
List<Map<String, Object>> list = ElasticsearchUtil.searchListData(indexName, esType, boolQuery, 10, null, null, null);
return JSONObject.toJSONString(list);
}
/**
* 查询日期范围数据
*
* @return
*/
@RequestMapping("/queryDateRangeData")
public String queryDateRangeData() {
BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
boolQuery.must(QueryBuilders.rangeQuery("date").from("2018-04-25T08:33:44.840Z")
.to("2019-04-25T10:03:08.081Z"));
List<Map<String, Object>> list = ElasticsearchUtil.searchListData(indexName, esType, boolQuery, 10, null, null, null);
return JSONObject.toJSONString(list);
}
/**
* 查询分页
*
* @param startPage 第几条记录开始
* 从0开始
* 第1页 ：http://127.0.0.1:8080/es/queryPage?startPage=0&pageSize=2
* 第2页 ：http://127.0.0.1:8080/es/queryPage?startPage=2&pageSize=2
* @param pageSize 每页大小
* @return
*/
@RequestMapping("/queryPage")
public String queryPage(String startPage, String pageSize) {
if (StringUtils.isNotBlank(startPage) && StringUtils.isNotBlank(pageSize)) {
BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();
boolQuery.must(QueryBuilders.rangeQuery("date").from("2018-04-25T08:33:44.840Z")
.to("2019-04-25T10:03:08.081Z"));
EsPage list = ElasticsearchUtil.searchDataPage(indexName, esType, Integer.parseInt(startPage), Integer.parseInt(pageSize), boolQuery, null, null, null);
return JSONObject.toJSONString(list);
} else {
return "startPage或者pageSize缺失";
}
}
@RequestMapping("/queryMax")
public int queryMaxId(String file) {
if (StringUtils.isNotBlank(file) ) {
AggregationBuilder aggregationBuilder = AggregationBuilders.max("max_value").field(file);
int d = (int)ElasticsearchUtil.max(indexName, esType,file);
return d;
} else {
return 0;
}
}
}总结
OK~大功告成！
以上为个人经验，希望能给大家一个参考，也希望大家多多支持脚本之家。