第一步：pom.xml
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-web</artifactId> </dependency> <dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-test</artifactId> <scope>test</scope> </dependency> <!-- https://mvnrepository.com/artifact/org.elasticsearch/elasticsearch --> <dependency> <groupId>org.elasticsearch</groupId> <artifactId>elasticsearch</artifactId> <version>6.4.2</version> </dependency> <!-- https://mvnrepository.com/artifact/org.elasticsearch.client/transport --> <dependency> <groupId>org.elasticsearch.client</groupId> <artifactId>transport</artifactId> <version>6.4.2</version> <exclusions> <exclusion> <groupId>org.elasticsearch</groupId> <artifactId>elasticsearch</artifactId> </exclusion> </exclusions> </dependency> <!-- fastjson --> <dependency> <groupId>com.alibaba</groupId> <artifactId>fastjson</artifactId> <version>1.2.39</version> </dependency> <dependency> <groupId>org.apache.commons</groupId> <artifactId>commons-lang3</artifactId> <version>3.4</version> </dependency> <!-- https://mvnrepository.com/artifact/org.projectlombok/lombok --> <dependency> <groupId>org.projectlombok</groupId> <artifactId>lombok</artifactId> <version>1.16.20</version> </dependency> <dependency> <groupId>commons-httpclient</groupId> <artifactId>commons-httpclient</artifactId> <version>3.1</version> </dependency>第二步：application.properties
# Elasticsearch # 9200端口是用来让HTTP REST API来访问ElasticSearch，而9300端口是传输层监听的默认端口 elasticsearch.ip=127.0.0.1 elasticsearch.port=9300 elasticsearch.pool=5 #注意cluster.name需要与config/elasticsearch.yml中的cluster.name一致 elasticsearch.cluster.name=elasticsearch_cici server.port=8181第三步：创建员工对象实体类 和 分页类
员工类
/** * @Description:Book实体 加上了@Document注解之后，默认情况下这个实体中所有的属性都会被建立索引、并且分词 */ @Data @ToString @NoArgsConstructor public class Employee { private String id; private Long version; String firstName; String lastName; String age; String[] interests; }分页类
@Data @ToString 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; } } } }第四步：创建config类
@Configuration public class ElasticSearchConfig { private static final Logger LOGGER = LoggerFactory.getLogger(ElasticSearchConfig.class); /** * elk集群地址 */ @Value("${elasticsearch.ip}") private String hostName; /** * 端口 */ @Value("${elasticsearch.port}") private String port; /** * 集群名称 */ @Value("${elasticsearch.cluster.name}") private String clusterName; /** * 连接池 */ @Value("${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; } }第五步：创建ES操作工具类
Elasticsearch JAVA操作有三种客户端:
1、TransportClient
2、JestClient
3、RestClient
还有种是2.3中有的NodeClient,在5.5.1中好像没有了。
还有种是spring-data-elasticsearch,这里先以TransportClient为例子。
@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(); } /** * @Description: 判断inde下指定type是否存在 */ 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 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()); } /** * 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; } }第六步：创建controller
@RestController @RequestMapping("/es") public class EsController { /** * 测试索引 */ private String indexName = "megacorp"; /** * 类型 */ private String esType = "employee"; /** * 创建索引 * http://127.0.0.1:8080/es/createIndex * @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"; } /** * 插入记录 * * @return */ @RequestMapping("/insertJson") public String insertJson() { JSONObject jsonObject = new JSONObject(); jsonObject.put("id", DateUtil.formatDate(new Date())); jsonObject.put("age", 25); jsonObject.put("first_name", "j-" + new Random(100).nextInt()); jsonObject.put("last_name", "cccc"); jsonObject.put("about", "i like xiaofeng baby"); 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() { Employee employee = new Employee(); employee.setId("66"); employee.setFirstName("m-" + new Random(100).nextInt()); employee.setAge("24"); JSONObject jsonObject = (JSONObject) JSONObject.toJSON(employee); 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)) { JSONObject jsonObject = new JSONObject(); jsonObject.put("id", id); jsonObject.put("age", 31); jsonObject.put("name", "修改"); jsonObject.put("date", new Date()); 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"; } } /** * 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("first_name", "cici")); } else { boolQuery.must(QueryBuilders.matchQuery("last_name", "cici")); } List<Map<String, Object>> list = ElasticsearchUtil. searchListData(indexName, esType, boolQuery, 10, "first_name", null, "last_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("first_name.keyword", "cici"); 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("first_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(24) .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("age").from("20") .to("50")); 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("age").from("20") .to("100")); 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"; } } }利用postman一个个请求。
截取结果如下：方法都能正常准确访问
