Elasticsearch 5.4.3实战--Java API调用：索引mapping创建

2022-11-30 11:13:00

因为项目开发使用的是Java语言，项目的开发架构是Spring MVC+ maven的jar包管理，所以今天重点说说ES 5.4.3 的Java API的源码实战

1. pom.xml文件增加依赖：

  <!-- elasticsearch -->

         <dependency>

           <groupId>org.elasticsearch</groupId>

           <artifactId>elasticsearch</artifactId>

           <version>5.4.3</version>

         </dependency>

         <dependency>

           <groupId>org.elasticsearch.client</groupId>

           <artifactId>transport</artifactId>

           <version>5.4.3</version>

         </dependency>

         <dependency>

             <groupId>org.apache.logging.log4j</groupId>

             <artifactId>log4j-core</artifactId>

             <version>2.6.2</version>

         </dependency>

         <dependency>

             <groupId>org.apache.logging.log4j</groupId>

             <artifactId>log4j-api</artifactId>

             <version>2.6.2</version>

         </dependency>

         <dependency>

             <groupId>org.apache.logging.log4j</groupId>

             <artifactId>log4j-1.2-api</artifactId>

             <version>2.6.2</version>

         </dependency>

2. 首先我们创建一个获取Client 的Factory类，该类中的配置信息是配置在项目的.properties文件中

注意端口号通常为9300，这个是ES为java保留的默认端口号。

 package com.cs99lzzs.elasticsearch;

 import org.elasticsearch.client.Client;

 import org.elasticsearch.client.transport.TransportClient;

 import org.elasticsearch.common.network.InetAddresses;

 import org.elasticsearch.common.settings.Settings;

 import org.elasticsearch.common.transport.InetSocketTransportAddress;

 import org.elasticsearch.common.transport.TransportAddress;

 import org.elasticsearch.transport.client.PreBuiltTransportClient;

 import org.springframework.beans.factory.annotation.Value;

 import org.springframework.context.annotation.Bean;

 import org.springframework.context.annotation.Configuration;

 @Configuration

 public class ElasticsearchFactory {  

     @Value("${elasticsearch.ips}")

     private String ES_IPS;

     @Value("${elasticsearch.cluster.name}")

     private String CLUSTER_NAME;

     @Value("${elasticsearch.port}")

     private int ES_PORT;

     private static TransportClient transportClient = null;

     /**

      * 获取esClient实例

      * @return

      */

     @Bean(name = "esClient")

     public Client getESClient(){  

         /**

          * 1:通过 setting对象来指定集群配置信息

          */

         if (transportClient == null) {

             Settings settings = Settings.builder()

                     .put("cluster.name", CLUSTER_NAME)

                     .put("client.transport.sniff", true)

                     .build();

             transportClient = new  PreBuiltTransportClient(settings);

             String esIps[] = ES_IPS.split(",");

             for (String esIp : esIps) {//添加集群IP列表

                 TransportAddress transportAddress =  new InetSocketTransportAddress(InetAddresses.forString(esIp), ES_PORT);

                 transportClient.addTransportAddresses(transportAddress);

             }

         }

         return transportClient;

     }

 }

3. 索引创建的Controller类，主要是2个定时任务：全量更新和增量更新

另外一个重点就是：创建mapping。该mapping包含了一个搜索提示的字段

 package com.cs99lzzs.elasticsearch;

 import java.net.InetAddress;

 import java.sql.Timestamp;

 import javax.annotation.Resource;

 import javax.servlet.http.HttpServletRequest;

 import javax.servlet.http.HttpServletResponse;

 import org.apache.commons.lang.StringUtils;

 import org.apache.log4j.Logger;

 import org.elasticsearch.action.admin.indices.mapping.put.PutMappingRequest;

 import org.elasticsearch.client.Client;

 import org.elasticsearch.client.Requests;

 import org.elasticsearch.client.transport.TransportClient;

 import org.elasticsearch.common.settings.Settings;

 import org.elasticsearch.common.transport.InetSocketTransportAddress;

 import org.elasticsearch.common.xcontent.XContentBuilder;

 import org.elasticsearch.common.xcontent.XContentFactory;

 import org.elasticsearch.transport.client.PreBuiltTransportClient;

 import org.springframework.beans.factory.annotation.Value;

 import org.springframework.scheduling.annotation.Scheduled;

 import org.springframework.stereotype.Controller;

 import org.springframework.web.bind.annotation.RequestMapping;

 import org.springframework.web.bind.annotation.RequestMethod;

 import org.springframework.web.bind.annotation.RequestParam;

 import org.springframework.web.bind.annotation.ResponseBody;

 import redis.clients.jedis.Jedis;

 import com.showjoy.data.page.JedisClient;

 import com.showjoy.elasticsearch.service.ProductIndexService;

 @Controller

 public class CreateIndexController {

     private static Logger logger = Logger.getLogger(CreateIndexController.class);

     private final static String   _REDIS_DB_STORE_TIME_KEY_NAME = "es.shop.index.update.time";

     private final static String   _PRODUCT_INDEX_TIME_KEY       = "es.shop.product.time";

     @Resource

     private ProductIndexService  productIndexService;

     @Resource(name="esClient")

     Client esClient;

     @Value("${elasticsearch.index}")

     private String CLUSTER_INDEX;

     @Value("${elasticsearch.type}")

     private String CLUSTER_TYPE;

     /**

      *

      * @author chenxu

      * 2017年7月13日 下午6:25:54

      * @param request

      * @param response

      * @return

      */

     @ResponseBody

     @RequestMapping(value={"/", "/info"}, method = RequestMethod.GET)

     public String info(HttpServletRequest request, HttpServletResponse response) {

         return "success";

     }

     @ResponseBody

     @RequestMapping(value = "/es/index", method = RequestMethod.GET)

     public void productIndex(@RequestParam(required = false, defaultValue = "2016-01-05 00:00:00") String fromTime) {

         productIndexService.createIndex(Timestamp.valueOf(fromTime));

     }

     /**

      * 创建mapping

      * @author chenxu

      * 2017年7月10日 下午2:10:24

      * @param indices

      * @param mappingType

      * @throws Exception

      */

     public static void createMapping(String index, String type, Client client)

             throws Exception {

         XContentBuilder builder = XContentFactory.jsonBuilder()

                 .startObject()

                 .startObject(type)

                 .startObject("properties");

         //搜索字段: text类型， ik_max_word分词

         builder.startObject("brandZhName").field("type", "text").field("analyzer", "ik_max_word").field("store", "yes").endObject();

         builder.startObject("brandEnName").field("type", "text").field("analyzer", "ik_max_word").field("store", "yes").endObject();

         builder.startObject("brandAliases").field("type", "text").field("analyzer", "ik_max_word").field("store", "yes").endObject();

         builder.startObject("aliases").field("type", "text").field("analyzer", "ik_max_word").field("store", "yes").endObject();

         builder.startObject("zhName").field("type", "text").field("analyzer", "ik_max_word").field("store", "yes").endObject();

         builder.startObject("enName").field("type", "text").field("analyzer", "ik_max_word").field("store", "yes").endObject();

         //排序字段

         builder.startObject("price").field("type", "float").field("store", "yes").endObject();//现价

         builder.startObject("salesVolume").field("type", "integer").field("store", "yes").endObject();//销量

         builder.startObject("commission").field("type", "float").field("store", "yes").endObject();//收益

         //其他字段

         /* integer */

         builder.startObject("id").field("type", "integer").field("store", "yes").endObject();

         builder.startObject("spuId").field("type", "integer").field("store", "yes").endObject();

         builder.startObject("inventory").field("type", "integer").field("store", "yes").endObject();

         builder.startObject("brandId").field("type", "integer").field("store", "yes").endObject();

         builder.startObject("cateId").field("type", "integer").field("store", "yes").endObject();

         builder.startObject("cateScope").field("type", "integer").field("store", "yes").endObject();

         builder.startObject("vipShopId").field("type", "integer").field("store", "yes").endObject();

         /* boolean */

         builder.startObject("isDelete").field("type", "boolean").field("store", "yes").endObject();

         builder.startObject("triable").field("type", "boolean").field("store", "yes").endObject();

         builder.startObject("isTrialPack").field("type", "boolean").field("store", "yes").endObject();

         builder.startObject("searchable").field("type", "boolean").field("store", "yes").endObject();

         builder.startObject("isHaitao").field("type", "boolean").field("store", "yes").endObject();

         builder.startObject("isSupplier").field("type", "boolean").field("store", "yes").endObject();

         /* keyword */

         builder.startObject("spuStatusId").field("type", "keyword").field("index", "no").field("store", "yes").endObject();

         builder.startObject("image").field("type", "keyword").field("index", "no").field("store", "yes").endObject();

         builder.startObject("isSuit").field("type", "keyword").field("index", "no").field("store", "yes").endObject();

         builder.startObject("unit").field("type", "keyword").field("index", "no").field("store", "yes").endObject();

         builder.startObject("sex").field("type", "keyword").field("index", "no").field("store", "yes").endObject();

         builder.startObject("brandPathName").field("type", "keyword").field("index", "no").field("store", "yes").endObject();

         builder.startObject("brandImage").field("type", "keyword").field("index", "no").field("store", "yes").endObject();

         builder.startObject("brandName").field("type", "keyword").field("store", "yes").endObject();

         builder.startObject("cateName").field("type", "keyword").field("store", "yes").endObject();

         builder.startObject("cateNameTree").field("type", "keyword").field("store", "yes").endObject();

         builder.startObject("salesPromotionTag").field("type", "keyword").field("store", "yes").endObject(); //促销标签

         builder.startObject("perfumeType").field("type", "keyword").field("index", "no").field("store", "yes").endObject();

         builder.startObject("brandScope").field("type", "keyword").field("index", "no").field("store", "yes").endObject();

         /* float */

         builder.startObject("volume").field("type", "float").field("store", "yes").endObject();

         builder.startObject("originalPrice").field("type", "float").field("store", "yes").endObject();

         builder.startObject("discount").field("type", "float").field("store", "yes").endObject();

         /* date */

         builder.startObject("gmtCreate").field("type", "date").field("store", "yes").endObject();

         builder.startObject("gmtModified").field("type", "date").field("store", "yes").endObject();

         /* suggester */

         builder.startObject("suggestName").field("type","completion").endObject();

 //        builder.startObject("suggestBrandZhName").field("type","completion").field("analyzer","ik_max_word")

 //                        .field("search_analyzer","ik_max_word").endObject();

         //结束

         builder.endObject().endObject().endObject();

         PutMappingRequest mapping = Requests.putMappingRequest(index)

                 .type(type).source(builder);

         client.admin().indices().putMapping(mapping).actionGet();

     }

     /**

      * 全量更新商品索引任务，凌晨4点执行

      * @author chenxu

      *

      **/

     @Scheduled(cron = "0 0 4 * * ?")

     @ResponseBody

     @RequestMapping(value = "/search/index/allproduct", method = RequestMethod.GET)

     public void indexProducts(){

         Timestamp updateTime = new Timestamp(0);

         saveTimestamp(_PRODUCT_INDEX_TIME_KEY, new Timestamp(System.currentTimeMillis()));

         productIndexService.createIndex(updateTime);

     }

     /**

      * 增量更新商品索引 ，每隔5分钟执行

      * @author chenxu

      *

      **/

     @Scheduled(cron = "0 */5 * * * ?")

     @ResponseBody

     @RequestMapping(value = "/search/index/product", method = RequestMethod.GET)

     public void indexProduct() {

         Timestamp updateTime = getTimestamp(_PRODUCT_INDEX_TIME_KEY);

         long currentTimeMillis = System.currentTimeMillis();

         productIndexService.createIndex(updateTime);

         saveTimestamp(_PRODUCT_INDEX_TIME_KEY, new Timestamp(currentTimeMillis));

     }

     private static Timestamp getTimestamp(String name) {

         Timestamp timestamp = null;

         try {

             Jedis jedis = JedisClient.getJedis();

             jedis.select(1);

             String timestr = jedis.hget(_REDIS_DB_STORE_TIME_KEY_NAME, name);

             JedisClient.returnResource(jedis);

             if (StringUtils.isNotBlank(timestr)) {

                 timestamp = Timestamp.valueOf(timestr);

             } else {

                 timestamp = new Timestamp(0);

             }

         } catch (Exception e) {

             logger.error("elasticsearch获取索引最新更新时间失败，检查存储redis是否出现问题", e);

             timestamp = new Timestamp(System.currentTimeMillis());

         }

         return timestamp;

     }

     private void saveTimestamp(String name, Timestamp timestamp) {

         try {

             Jedis jedis = JedisClient.getJedis();

             jedis.select(1);

             jedis.hset(_REDIS_DB_STORE_TIME_KEY_NAME, name, timestamp.toString());

             JedisClient.returnResource(jedis);

         } catch (Exception e) {

             logger.error("存储索引最新更新时间失败，检查存储redis是否出现问题", e);

         }

     }

     public static void main(String[] args) {

         Settings settings = Settings.builder()

                 .put("cluster.name", "showjoy-shop-search")

                 .put("client.transport.sniff", true)

                 .build();

         TransportClient tc = new PreBuiltTransportClient(settings);

         try {

             tc.addTransportAddress(

                     new InetSocketTransportAddress(InetAddress.getByName("192.168.0.124"), 9300));

             createMapping("item_index", "shop_item", tc);

             // 去数据库中扫描达人店商品的待搜索字段

 //            SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd  HH:mm:ss");

 //            Map<String, Object> source = new HashMap<String, Object>();

 //            source.put("name", "酒");

 //            source.put("cateId", 5);

 //            source.put("brandId", 15);

 //            source.put("salesVolume", 250);

 //            source.put("price", 55.00d);

 //            source.put("income", 5.5d);

 //            source.put("createDate", sdf.format(new Date()));

 //

 //            // 增加

 //            IndexResponse addResponse = tc

 //                    .prepareIndex("item_index", "shop_item", "1")

 //                    .setSource(source).get();

 //

 //            if (addResponse != null

 //                    && addResponse.getShardInfo().getSuccessful() == 1) {

 //                if (Result.CREATED.equals(addResponse.getResult())) {

 //                    System.err.println("create success");

 //                } else {

 //                    System.err.println("update success");

 //                }

 //            } else {

 //                System.err.println(JSON.toJSONString(addResponse));

 //            }

         } catch (Exception e) {

             e.printStackTrace();

         }

         if (tc != null) {

             tc.close();

         }

         System.err.println("finished");

     }

 }

4. 先在head插件中创建你自己的index名字，执行main函数，就能在它下面创建相应的mapping。

批量写入数据，请看下篇： http://www.cnblogs.com/cs99lzzs/p/7212474.html

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