标签:soft 数据库表 cti lin prepare efi 字母 util isp
ElasticSearch是开源搜索平台的新成员,实时数据分析的神器。可以理解为作为搜索的数据库,可以提供搜索功能。对比关系型数据库,具有以下的相似关系:
关系型数据库 | 数据库 | 表 | 行 | 列 |
ElasticSearch | 索引 | 类型 | 文档 | 字段 |
一个ES集群可以包含多个索引(数据库),每个索引又包含了很多类型(表),类型中包含了很多文档(行),每个文档又包含了很多字段(列)。
如果要实现对关系型数据库数据的搜索功能,需要将关系型数据库中的数据导入到ElasticSearch中,网上有解决方案。但是好像不支持最新的ElasticSearch5,可以使用我下面的Java代码实现数据的导入。
升级系统后安装 Oracle Java 7,既然 Elasticsearch 官方推荐使用 Oracle JDK 7 就不要尝试 JDK 8 和 OpenJDK 了:
1 $ sudo apt-get update 2 $ sudo apt-get upgrade 3 4 $ sudo apt-get install software-properties-common 5 $ sudo add-apt-repository ppa:webupd8team/java 6 $ sudo apt-get update 7 8 $ sudo apt-get install oracle-java7-installer
加入 Elasticsearch 官方源后安装 elasticsearch:
1 $ wget -O - http://packages.elasticsearch.org/GPG-KEY-elasticsearch | apt-key add - 2 $ sudo echo "deb http://packages.elasticsearch.org/elasticsearch/1.1/debian stable main" >> /etc/apt/sources.list 3 4 $ sudo apt-get update 5 $ sudo apt-get install elasticsearch
加入到系统启动文件并启动 elasticsearch 服务,用 curl 测试一下安装是否成功:
1 $ sudo update-rc.d elasticsearch defaults 95 1 2 3 $ sudo /etc/init.d/elasticsearch start 4 5 $ curl -X GET ‘http://localhost:9200‘ 6 { 7 "status" : 200, 8 "name" : "Fer-de-Lance", 9 "version" : { 10 "number" : "1.1.1", 11 "build_hash" : "f1585f096d3f3985e73456debdc1a0745f512bbc", 12 "build_timestamp" : "2014-04-16T14:27:12Z", 13 "build_snapshot" : false, 14 "lucene_version" : "4.7" 15 }, 16 "tagline" : "You Know, for Search" 17 }
Elasticsearch 的集群和数据管理界面 Marvel 非常赞,可惜只对开发环境免费,安装很简单,完成后重启服务访问 http://192.168.2.172:9200/_plugin/marvel/ 就可以看到界面:
1 $ sudo /usr/share/elasticsearch/bin/plugin -i elasticsearch/marvel/latest 2 3 $ sudo /etc/init.d/elasticsearch restart 4 * Stopping Elasticsearch Server [ OK ] 5 * Starting Elasticsearch Server [ OK ]
另外可以安装elasticsearch-head作为管理Elasticsearch的web前端插件。
安装教程:Elasticsearch5中安装Elasticsearch-head插件
命令调用的方式不再讲述了,网上很多。ElasticSearch最终是要在项目中使用的。官方的API文档:https://www.elastic.co/guide/en/elasticsearch/reference/current/index.html
自己写了助手类,方便大家调用。可以实现索引的增删改查,查询提供多种方法,包括or、and查询,多个关键词查询,关键词高亮等,适用于不同场合。
首先是引用需要的jar包。使用maven管理jar包,需要的jar包有:
1 <dependency> 2 <groupId>org.elasticsearch</groupId> 3 <artifactId>elasticsearch</artifactId> 4 <version>5.3.1</version> 5 </dependency> 6 <dependency> 7 <groupId>org.elasticsearch.client</groupId> 8 <artifactId>transport</artifactId> 9 <version>5.3.1</version> 10 </dependency> 11 <dependency> 12 <groupId>org.apache.logging.log4j</groupId> 13 <artifactId>log4j-api</artifactId> 14 <version>2.7</version> 15 </dependency> 16 <dependency> 17 <groupId>org.apache.logging.log4j</groupId> 18 <artifactId>log4j-core</artifactId> 19 <version>2.7</version> 20 </dependency>
然后是ElasticSearch配置文件,存储集群名称、集群IP、索引名称。配置文件命名为:elasticsearch.properties
cluster_name=elasticsearch cluster_serverip=127.0.0.1 indexname=blogsystem
还需要配置日志配置文件,命名为:log4j2.properties
appender.console.type = Console appender.console.name = console appender.console.layout.type = PatternLayout rootLogger.level = info rootLogger.appenderRef.console.ref = console
最后是java的实现ElasticSearch助手类。为了方便使用,助手类分为具体实现和调用两个类。
ElasticSearch具体实现类:ElasticSearchUtilsImp.java
1 package com.blog.utils; 2 3 import java.io.IOException; 4 import java.io.InputStream; 5 import java.lang.reflect.Method; 6 import java.net.InetAddress; 7 import java.net.UnknownHostException; 8 import java.util.ArrayList; 9 import java.util.HashMap; 10 import java.util.List; 11 import java.util.Map; 12 import java.util.Properties; 13 import java.util.concurrent.ExecutionException; 14 15 import org.elasticsearch.action.delete.DeleteResponse; 16 import org.elasticsearch.action.index.IndexResponse; 17 import org.elasticsearch.action.search.SearchRequestBuilder; 18 import org.elasticsearch.action.search.SearchResponse; 19 import org.elasticsearch.action.update.UpdateRequest; 20 import org.elasticsearch.client.transport.TransportClient; 21 import org.elasticsearch.common.settings.Settings; 22 import org.elasticsearch.common.text.Text; 23 import org.elasticsearch.common.transport.InetSocketTransportAddress; 24 import org.elasticsearch.common.xcontent.XContentBuilder; 25 import org.elasticsearch.common.xcontent.XContentFactory; 26 import org.elasticsearch.index.query.BoolQueryBuilder; 27 import org.elasticsearch.index.query.QueryBuilder; 28 import org.elasticsearch.index.query.QueryBuilders; 29 import org.elasticsearch.rest.RestStatus; 30 import org.elasticsearch.search.SearchHits; 31 import org.elasticsearch.search.aggregations.AggregationBuilders; 32 import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder; 33 import org.elasticsearch.search.fetch.subphase.highlight.HighlightField; 34 import org.elasticsearch.transport.client.PreBuiltTransportClient; 35 36 /** 37 * @author:Tim 38 * @date:2017年5月3日 下午8:24:22 39 * @description:ElasticSearch助手类具体实现 40 */ 41 public class ElasticSearchUtilsImp { 42 43 private static String cluster_name = null;// 实例名称 44 private static String cluster_serverip = null;// elasticSearch服务器ip 45 private static String indexname = null;// 索引名称 46 47 static { 48 try { 49 // 读取db.properties文件 50 Properties props = new Properties(); 51 InputStream in = ElasticSearchUtilsImp.class.getResourceAsStream("/elasticsearch.properties"); 52 props.load(in);// 加载文件 53 54 // 读取信息 55 cluster_name = props.getProperty("cluster_name"); 56 cluster_serverip = props.getProperty("cluster_serverip"); 57 indexname = props.getProperty("indexname"); 58 } catch (IOException e) { 59 e.printStackTrace(); 60 System.out.println("加载数据库配置文件出错!"); 61 } 62 } 63 64 /** 65 * 返回一个到ElasticSearch的连接客户端 66 * 67 * @return 68 */ 69 private static TransportClient getClient() { 70 Settings settings = Settings.builder().put("cluster.name", cluster_name).build();// 设置集群名称 71 @SuppressWarnings("unchecked") 72 TransportClient client = new PreBuiltTransportClient(settings);// 创建client 73 try { 74 client.addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName(cluster_serverip), 9300));// 增加地址和端口 75 } catch (UnknownHostException e) { 76 e.printStackTrace(); 77 System.out.println("ElasticSearch连接失败!"); 78 } 79 80 return client; 81 } 82 83 /** 84 * 将Map转换成builder 85 * 86 * @param mapParam 87 * @return 88 * @throws Exception 89 */ 90 private static XContentBuilder createMapJson(Map<String, String> mapParam) throws Exception { 91 XContentBuilder source = XContentFactory.jsonBuilder().startObject(); 92 93 for (Map.Entry<String, String> entry : mapParam.entrySet()) { 94 source.field(entry.getKey(), entry.getValue()); 95 } 96 97 source.endObject(); 98 99 return source; 100 } 101 102 /** 103 * 将实体转换成json 104 * 105 * @param entity 实体 106 * @param fieldNameParm 实体中待转换成json的字段 107 * @return 返回json 108 * @throws Exception 109 */ 110 private static XContentBuilder createEntityJson(Object entity, String... methodNameParm) throws Exception { 111 // 创建json对象, 其中一个创建json的方式 112 XContentBuilder source = XContentFactory.jsonBuilder().startObject(); 113 114 try { 115 for (String methodName : methodNameParm) { 116 117 if (!methodName.startsWith("get")) { 118 throw new Exception("不是有效的属性!"); 119 } 120 121 Method method = entity.getClass().getMethod(methodName, null); 122 String fieldValue = (String) method.invoke(entity, null); 123 String fieldName = StringUtils.toLowerCaseFirstOne(methodName.replace("get", ""));// 去掉“get”,并将首字母小写 124 125 // 避免和elasticSearch中id字段重复 126 if (fieldName == "_id") { 127 fieldName = "id"; 128 } 129 130 source.field(fieldName, fieldValue); 131 } 132 } catch (NoSuchMethodException e) { 133 e.printStackTrace(); 134 System.out.println("未找到方法!"); 135 } 136 137 source.endObject(); 138 139 return source; 140 } 141 142 /** 143 * 将一个Map格式的数据(key,value)插入索引 (私有方法) 144 * 145 * @param type 类型(对应数据库表) 146 * @param docId id,对应elasticSearch中的_id字段 147 * @param mapParam Map格式的数据 148 * @return 149 */ 150 public static boolean addMapDocToIndex(String type, String docId, Map<String, String> mapParam) { 151 boolean result = false; 152 153 TransportClient client = getClient(); 154 XContentBuilder source = null; 155 try { 156 source = createMapJson(mapParam); 157 } catch (Exception e) { 158 e.printStackTrace(); 159 } 160 161 // 存json入索引中 162 IndexResponse response = null; 163 if (docId == null) { 164 // 使用默认的id 165 response = client.prepareIndex(indexname, type).setSource(source).get(); 166 } else { 167 response = client.prepareIndex(indexname, type, docId).setSource(source).get(); 168 } 169 170 // 插入结果获取 171 String index = response.getIndex(); 172 String gettype = response.getType(); 173 String id = response.getId(); 174 long version = response.getVersion(); 175 RestStatus status = response.status(); 176 177 String strResult = "新增文档成功:" + index + " : " + gettype + ": " + id + ": " + version + ": " + status.getStatus(); 178 System.out.println(strResult); 179 180 if (status.getStatus() == 201) { 181 result = true; 182 } 183 184 // 关闭client 185 client.close(); 186 187 return result; 188 } 189 190 /** 191 * 将一个实体存入到默认索引的类型中(指定_id,一般是业务数据的id,及elasticSearch和关系型数据使用同一个id,方便同关系型数据库互动) 192 * (私有方法) 193 * 194 * @param type 类型(对应数据库表) 195 * @param docId id,对应elasticSearch中的_id字段 196 * @param entity 要插入的实体 197 * @param methodNameParm 需要将实体中哪些属性作为字段 198 * @return 199 */ 200 public static boolean addEntityDoc(String type, String docId, Object entity, String... methodNameParm) { 201 boolean result = false; 202 203 TransportClient client = getClient(); 204 XContentBuilder source = null; 205 try { 206 source = createEntityJson(entity, methodNameParm); 207 } catch (Exception e) { 208 e.printStackTrace(); 209 } 210 211 // 存json入索引中 212 IndexResponse response = null; 213 if (docId == null) { 214 // 使用默认的id 215 response = client.prepareIndex(indexname, type).setSource(source).get(); 216 } else { 217 response = client.prepareIndex(indexname, type, docId).setSource(source).get(); 218 } 219 220 // 插入结果获取 221 String index = response.getIndex(); 222 String gettype = response.getType(); 223 String id = response.getId(); 224 long version = response.getVersion(); 225 RestStatus status = response.status(); 226 227 String strResult = "新增文档成功:" + index + " : " + gettype + ": " + id + ": " + version + ": " + status.getStatus(); 228 System.out.println(strResult); 229 230 if (status.getStatus() == 201) { 231 result = true; 232 } 233 234 // 关闭client 235 client.close(); 236 237 return result; 238 } 239 240 /** 241 * 删除文档 242 * 243 * @param type 类型(对应数据库表) 244 * @param docId 类型中id 245 * @return 246 */ 247 public static boolean deleteDoc(String type, String docId) { 248 boolean result = false; 249 250 TransportClient client = getClient(); 251 DeleteResponse deleteresponse = client.prepareDelete(indexname, type, docId).get(); 252 253 System.out.println("删除结果:" + deleteresponse.getResult().toString()); 254 if (deleteresponse.getResult().toString() == "DELETED") { 255 result = true; 256 } 257 258 // 关闭client 259 client.close(); 260 261 return result; 262 } 263 264 /** 265 * 修改文档 266 * 267 * @param type 类型 268 * @param docId 文档id 269 * @param updateParam 需要修改的字段和值 270 * @return 271 */ 272 public static boolean updateDoc(String type, String docId, Map<String, String> updateParam) { 273 String strResult = ""; 274 boolean result = false; 275 276 TransportClient client = getClient(); 277 278 UpdateRequest updateRequest = new UpdateRequest(); 279 updateRequest.index(indexname); 280 updateRequest.type(type); 281 updateRequest.id(docId); 282 try { 283 updateRequest.doc(createMapJson(updateParam)); 284 } catch (Exception e) { 285 e.printStackTrace(); 286 } 287 try { 288 strResult = client.update(updateRequest).get().getResult().toString(); 289 } catch (InterruptedException e) { 290 e.printStackTrace(); 291 } catch (ExecutionException e) { 292 e.printStackTrace(); 293 } 294 System.out.println(strResult); 295 296 if (strResult == "UPDATED") { 297 result = true; 298 } 299 300 return result; 301 } 302 303 /** 304 * TODO or查询命中条数 305 * @param type 类型 306 * @param shouldMap 查询条件 307 * @return 308 */ 309 public static int multiOrSearchDocCount(String type, Map<String, String> shouldMap) { 310 TransportClient client = getClient(); 311 312 return 0; 313 } 314 315 /** 316 * 高亮搜索 317 * 318 * @param type 类型 319 * @param fieldName 段 320 * @param keyword 关键词 321 * @param from 开始行数 322 * @param size 每页大小 323 * @return 324 */ 325 public static Map<String, Object> searchDocHighlight(String type, String fieldName, String keyword, int from, 326 int size) { 327 TransportClient client = getClient(); 328 329 // 高亮 330 HighlightBuilder hiBuilder = new HighlightBuilder(); 331 hiBuilder.preTags("<span style=\"color:red\">"); 332 hiBuilder.postTags("</span>"); 333 hiBuilder.field(fieldName); 334 335 QueryBuilder queryBuilder = QueryBuilders.matchPhraseQuery(fieldName, keyword); 336 337 SearchRequestBuilder responsebuilder = client.prepareSearch(indexname).setTypes(type); 338 responsebuilder.setQuery(queryBuilder); 339 responsebuilder.highlighter(hiBuilder); 340 responsebuilder.setFrom(from); 341 responsebuilder.setSize(size); 342 responsebuilder.setExplain(true); 343 344 SearchResponse myresponse = responsebuilder.execute().actionGet(); 345 SearchHits searchHits = myresponse.getHits(); 346 347 // 总命中数 348 long total = searchHits.getTotalHits(); 349 Map<String, Object> map = new HashMap<String, Object>(); 350 map.put("total", total); 351 List<Map<String, Object>> list = new ArrayList<Map<String, Object>>(); 352 for (int i = 0; i < searchHits.getHits().length; i++) { 353 Map<String, HighlightField> highlightFields = searchHits.getHits()[i].getHighlightFields(); 354 355 // 段高亮 356 HighlightField titleField = highlightFields.get(fieldName); 357 Map<String, Object> source = searchHits.getHits()[i].getSource(); 358 if (titleField != null) { 359 Text[] fragments = titleField.fragments(); 360 String name = ""; 361 for (Text text : fragments) { 362 name += text; 363 } 364 source.put(fieldName, name); 365 } 366 367 list.add(source); 368 } 369 map.put("rows", list); 370 371 return map; 372 } 373 374 /** 375 * or条件查询高亮 376 * 377 * @param type 类型 378 * @param shouldMap or条件和值 379 * @param from 开始行数 380 * @param size 每页大小 381 * @return 382 */ 383 public static Map<String, Object> multiOrSearchDocHigh(String type, Map<String, String> shouldMap, int from, 384 int size) { 385 TransportClient client = getClient(); 386 387 SearchRequestBuilder responsebuilder = client.prepareSearch(indexname).setTypes(type); 388 responsebuilder.setFrom(from); 389 responsebuilder.setSize(size); 390 responsebuilder.setExplain(true); 391 392 // 高亮 393 HighlightBuilder hiBuilder = new HighlightBuilder(); 394 hiBuilder.preTags("<span style=\"color:red\">"); 395 hiBuilder.postTags("</span>"); 396 397 // 高亮每个字段 398 for (String key : shouldMap.keySet()) { 399 hiBuilder.field(key); 400 } 401 402 responsebuilder.highlighter(hiBuilder); 403 404 if (null != shouldMap && shouldMap.size() > 0) { 405 // 创建一个查询 406 BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery(); 407 408 // 这里查询的条件用map传递 409 for (String key : shouldMap.keySet()) { 410 queryBuilder.should(QueryBuilders.matchPhraseQuery(key, shouldMap.get(key)));// or连接条件 411 } 412 // 查询 413 responsebuilder.setQuery(queryBuilder); 414 } 415 416 SearchResponse myresponse = responsebuilder.execute().actionGet(); 417 SearchHits searchHits = myresponse.getHits(); 418 419 // 总命中数 420 long total = searchHits.getTotalHits(); 421 Map<String, Object> map = new HashMap<String, Object>(); 422 map.put("total", total); 423 List<Map<String, Object>> list = new ArrayList<Map<String, Object>>(); 424 for (int i = 0; i < searchHits.getHits().length; i++) { 425 Map<String, HighlightField> highlightFields = searchHits.getHits()[i].getHighlightFields(); 426 Map<String, Object> source = searchHits.getHits()[i].getSource(); 427 428 for (String key : shouldMap.keySet()) { 429 // 各个段进行高亮 430 HighlightField titleField = highlightFields.get(key); 431 if (titleField != null) { 432 Text[] fragments = titleField.fragments(); 433 String name = ""; 434 for (Text text : fragments) { 435 name += text; 436 } 437 source.put(key, name); 438 } 439 } 440 441 list.add(source); 442 } 443 map.put("rows", list); 444 445 return map; 446 } 447 448 /** 449 * 搜索 450 * 451 * @param type 类型 452 * @param fieldName 待搜索的字段 453 * @param keyword 待搜索的关键词 454 * @param from 开始行数 455 * @param size 每页大小 456 * @return 457 */ 458 public static Map<String, Object> searchDoc(String type, String fieldName, String keyword, int from, int size) { 459 List<String> hitResult = new ArrayList<String>(); 460 461 TransportClient client = getClient(); 462 463 QueryBuilder queryBuilder = QueryBuilders.matchPhraseQuery(fieldName, keyword); 464 465 SearchRequestBuilder responsebuilder = client.prepareSearch(indexname).setTypes(type); 466 responsebuilder.setQuery(queryBuilder); 467 responsebuilder.setFrom(from); 468 responsebuilder.setSize(size); 469 responsebuilder.setExplain(true); 470 471 SearchResponse myresponse = responsebuilder.execute().actionGet(); 472 SearchHits hits = myresponse.getHits(); 473 for (int i = 0; i < hits.getHits().length; i++) { 474 hitResult.add(hits.getHits()[i].getSourceAsString()); 475 } 476 477 // 将命中结果转换成Map输出 478 Map<String, Object> modelMap = new HashMap<String, Object>(2); 479 modelMap.put("total", hitResult.size()); 480 modelMap.put("rows", hitResult); 481 482 return modelMap; 483 } 484 485 /** 486 * 多个条件进行or查询 487 * 488 * @param type 类型 489 * @param shouldMap 进行or查询的段和值 490 * @param from 开始行数 491 * @param size 每页大小 492 * @return 493 */ 494 public static Map<String, Object> multiOrSearchDoc(String type, Map<String, String> shouldMap, int from, int size) { 495 List<String> hitResult = new ArrayList<String>(); 496 497 TransportClient client = getClient(); 498 499 SearchRequestBuilder responsebuilder = client.prepareSearch(indexname).setTypes(type); 500 responsebuilder.setFrom(from); 501 responsebuilder.setSize(size); 502 responsebuilder.setExplain(true); 503 504 if (null != shouldMap && shouldMap.size() > 0) { 505 // 创建一个查询 506 BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery(); 507 508 // 这里查询的条件用map传递 509 for (String key : shouldMap.keySet()) { 510 queryBuilder.should(QueryBuilders.matchPhraseQuery(key, shouldMap.get(key)));// or连接条件 511 } 512 // 查询 513 responsebuilder.setQuery(queryBuilder); 514 } 515 516 SearchResponse myresponse = responsebuilder.execute().actionGet(); 517 SearchHits hits = myresponse.getHits(); 518 for (int i = 0; i < hits.getHits().length; i++) { 519 hitResult.add(hits.getHits()[i].getSourceAsString()); 520 } 521 522 // 将命中结果转换成Map输出 523 Map<String, Object> modelMap = new HashMap<String, Object>(2); 524 modelMap.put("total", hitResult.size()); 525 modelMap.put("rows", hitResult); 526 527 return modelMap; 528 } 529 530 /** 531 * 多个条件进行and查询 532 * 533 * @param type 类型 534 * @param mustMap 进行and查询的段和值 535 * @param from 开始行数 536 * @param size 每页大小 537 * @return 538 */ 539 public static Map<String, Object> multiAndSearchDoc(String type, Map<String, String> mustMap, int from, int size) { 540 List<String> hitResult = new ArrayList<String>(); 541 542 TransportClient client = getClient(); 543 544 SearchRequestBuilder responsebuilder = client.prepareSearch(indexname).setTypes(type); 545 responsebuilder.setFrom(from); 546 responsebuilder.setSize(size); 547 responsebuilder.setExplain(true); 548 549 if (null != mustMap && mustMap.size() > 0) { 550 // 创建一个查询 551 BoolQueryBuilder queryBuilder = QueryBuilders.boolQuery(); 552 553 // 这里查询的条件用map传递 554 for (String key : mustMap.keySet()) { 555 queryBuilder.must(QueryBuilders.matchPhraseQuery(key, mustMap.get(key)));// and查询 556 } 557 // 查询 558 responsebuilder.setQuery(queryBuilder); 559 } 560 561 SearchResponse myresponse = responsebuilder.execute().actionGet(); 562 SearchHits hits = myresponse.getHits(); 563 for (int i = 0; i < hits.getHits().length; i++) { 564 hitResult.add(hits.getHits()[i].getSourceAsString()); 565 } 566 567 // 将命中结果转换成Map输出 568 Map<String, Object> modelMap = new HashMap<String, Object>(2); 569 modelMap.put("total", hitResult.size()); 570 modelMap.put("rows", hitResult); 571 572 return modelMap; 573 } 574 }
ElasticSearch调用类,是对实现类的各种组合,供外部调用。调用类名称:ElasticSearchUtils.java
1 package com.blog.utils; 2 3 import java.util.Map; 4 5 /** 6 * @author:Tim 7 * @date:2017年5月3日 下午8:24:22 8 * @description:ElasticSearch助手类 9 */ 10 public class ElasticSearchUtils { 11 12 /** 13 * 将一个Map格式的数据(key,value)插入索引(指定_id,一般是业务数据的id,及elasticSearch和关系型数据使用同一个id,方便同关系型数据库互动) 14 * 15 * @param type 类型(对应数据库表) 16 * @param docId id,对应elasticSearch中的_id字段 17 * @param mapParam Map格式的数据 18 * @return 19 */ 20 public static boolean addDoc(String type, String docId, Map<String, String> mapParam) { 21 return ElasticSearchUtilsImp.addMapDocToIndex(type, docId, mapParam); 22 } 23 24 /** 25 * 将一个Map格式的数据(key,value)插入索引 (使用默认_id) 26 * 27 * @param type 类型(对应数据库表) 28 * @param mapParam Map格式的数据 29 * @return 30 */ 31 public static boolean addDoc(String type, Map<String, String> mapParam) { 32 return ElasticSearchUtilsImp.addMapDocToIndex(type, null, mapParam); 33 } 34 35 /** 36 * 将一个实体存入到默认索引的类型中(默认_id) 37 * 38 * @param type 类型(对应数据库表) 39 * @param entity 要插入的实体 40 * @param methodNameParm 需要将实体中哪些属性作为字段 41 * @return 42 */ 43 public static boolean addDoc(String type, Object entity, String... methodNameParm) { 44 return ElasticSearchUtilsImp.addEntityDoc(type, null, entity, methodNameParm); 45 } 46 47 /** 48 * 将一个实体存入到默认索引的类型中(指定_id,一般是业务数据的id,及elasticSearch和关系型数据使用同一个id,方便同关系型数据库互动) 49 * 50 * @param type 类型(对应数据库表) 51 * @param docId id,对应elasticSearch中的_id字段 52 * @param entity 要插入的实体 53 * @param methodNameParm 需要将实体中哪些属性作为字段 54 * @return 55 */ 56 public static boolean addDoc(String type, String docId, Object entity, String... methodNameParm) { 57 return ElasticSearchUtilsImp.addEntityDoc(type, docId, entity, methodNameParm); 58 } 59 60 /** 61 * 删除文档 62 * 63 * @param type 类型(对应数据库表) 64 * @param docId 类型中id 65 * @return 66 */ 67 public static boolean deleteDoc(String type, String docId) { 68 return ElasticSearchUtilsImp.deleteDoc(type, docId); 69 } 70 71 /** 72 * 修改文档 73 * 74 * @param type 类型 75 * @param docId 文档id 76 * @param updateParam 需要修改的字段和值 77 * @return 78 */ 79 public static boolean updateDoc(String type, String docId, Map<String, String> updateParam) { 80 return ElasticSearchUtilsImp.updateDoc(type, docId, updateParam); 81 } 82 83 // --------------------以下是各种搜索方法-------------------------- 84 85 /** 86 * 高亮搜索 87 * 88 * @param type 类型 89 * @param fieldName 段 90 * @param keyword 段值 91 * @return 92 */ 93 public static Map<String, Object> searchDocHighlight(String type, String fieldName, String keyword) { 94 return ElasticSearchUtilsImp.searchDocHighlight(type, fieldName, keyword, 0, 10); 95 } 96 97 /** 98 * 高亮搜索 99 * 100 * @param type 类型 101 * @param fieldName 段 102 * @param keyword 关键词 103 * @param from 开始行数 104 * @param size 每页大小 105 * @return 106 */ 107 public static Map<String, Object> searchDocHighlight(String type, String fieldName, String keyword, int from, 108 int size) { 109 return ElasticSearchUtilsImp.searchDocHighlight(type, fieldName, keyword, from, size); 110 } 111 112 /** 113 * or条件查询高亮 114 * 115 * @param type 类型 116 * @param shouldMap or条件和值 117 * @return 118 */ 119 public static Map<String, Object> multiOrSearchDocHigh(String type, Map<String, String> shouldMap, int from, 120 int size) { 121 return ElasticSearchUtilsImp.multiOrSearchDocHigh(type, shouldMap, from, size); 122 } 123 124 /** 125 * 搜索 126 * 127 * @param type 类型 128 * @param fieldName 待搜索的字段 129 * @param keyword 待搜索的关键词 130 */ 131 public static Map<String, Object> searchDoc(String type, String fieldName, String keyword) { 132 return ElasticSearchUtilsImp.searchDoc(type, fieldName, keyword, 0, 10); 133 } 134 135 /** 136 * 多个条件进行or查询 137 * 138 * @param type 类型 139 * @param shouldMap 进行or查询的段和值 140 * @return 141 */ 142 public static Map<String, Object> multiOrSearchDoc(String type, Map<String, String> shouldMap) { 143 return ElasticSearchUtilsImp.multiOrSearchDoc(type, shouldMap, 0, 10); 144 } 145 146 /** 147 * 多个条件进行and查询 148 * 149 * @param type 类型 150 * @param mustMap 进行and查询的段和值 151 * @return 152 */ 153 public static Map<String, Object> multiAndSearchDoc(String type, Map<String, String> mustMap) { 154 return ElasticSearchUtilsImp.multiAndSearchDoc(type, mustMap, 0, 10); 155 } 156 }
会使用到的其他助手类:StringUtils.java
1 package com.blog.utils; 2 3 import java.util.Map; 4 5 import net.sf.json.JSONObject; 6 7 /** 8 * @author:Tim 9 * @date:2017年5月6日 上午11:56:37 10 * @description:字符串助手类 11 */ 12 public class StringUtils { 13 14 /** 15 * 将Map转换成json字符串 16 * 17 * @param map Map<String, Object>格式数据 18 * @return json数据 19 */ 20 public static String map2String(Map<String, Object> map) { 21 return JSONObject.fromObject(map).toString(); 22 } 23 24 /** 25 * 首字母转小写 26 * 27 * @param s 待转换的字符串 28 * @return 29 */ 30 public static String toLowerCaseFirstOne(String s) { 31 if (Character.isLowerCase(s.charAt(0))) 32 return s; 33 else 34 return (new StringBuilder()).append(Character.toLowerCase(s.charAt(0))).append(s.substring(1)).toString(); 35 } 36 }
具体的使用在我的另一个项目中有使用实例,该项目使用这个助手类实现了索引的各种操作,以及搜索展现功能。项目位置:https://github.com/yangtzeyufei/EasyBlog
标签:soft 数据库表 cti lin prepare efi 字母 util isp
原文地址:http://www.cnblogs.com/yangtze-yufei/p/6821716.html