新增 动态消息转历史数据 定时器功能

pom.xml

@@ -93,12 +93,39 @@
           <artifactId>spring-boot-starter-data-redis</artifactId>
         </dependency>
         
-         <dependency>
+        <dependency>
             <groupId>net.logstash.logback</groupId>
             <artifactId>logstash-logback-encoder</artifactId>
             <version>5.2</version>
         </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>1.2.15</version>
+		</dependency>
+		
 	</dependencies>
 
 	<build>

src/main/java/com/gzzn/omms/msgexchangeapi/config/ScheduledAsyncConfig.java

@@ -0,0 +1,38 @@
+package com.gzzn.omms.msgexchangeapi.config;
+
+import java.util.concurrent.Executor;
+
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.context.annotation.Bean;
+import org.springframework.context.annotation.Configuration;
+import org.springframework.scheduling.annotation.EnableAsync;
+import org.springframework.scheduling.concurrent.ThreadPoolTaskExecutor;
+
+/**
+ * 定时器多线程配置
+ * @author fhc
+ *
+ */
+@Configuration
+@EnableAsync
+public class ScheduledAsyncConfig {
+	
+	  /*
+    此处成员变量应该使用@Value从配置中读取
+     */
+	@Value("${scheduled.corePoolSize}")
+    private int corePoolSize;
+	@Value("${scheduled.maxPoolSize}")
+    private int maxPoolSize;
+	@Value("${scheduled.queueCapacity}")
+    private int queueCapacity;
+    @Bean
+    public Executor taskExecutor() {
+        ThreadPoolTaskExecutor executor = new ThreadPoolTaskExecutor();
+        executor.setCorePoolSize(corePoolSize);
+        executor.setMaxPoolSize(maxPoolSize);
+        executor.setQueueCapacity(queueCapacity);
+        executor.initialize();
+        return executor;
+    }
+}

src/main/java/com/gzzn/omms/msgexchangeapi/elasticsearch/ElasticsearchConfig.java

@@ -0,0 +1,69 @@
+package com.gzzn.omms.msgexchangeapi.elasticsearch;
+
+import java.net.InetAddress;
+
+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;
+
+@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 (当前api无需嗅探，而且此处开启嗅探会导致链接失败)
+					.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;
+	}
+}

src/main/java/com/gzzn/omms/msgexchangeapi/elasticsearch/ElasticsearchUtil.java

@@ -0,0 +1,300 @@
+package com.gzzn.omms.msgexchangeapi.elasticsearch;
+
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Map;
+import java.util.UUID;
+
+import javax.annotation.PostConstruct;
+
+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.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.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 org.springframework.util.StringUtils;
+
+import com.alibaba.fastjson.JSONObject;
+
+@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, ElasticsearchUtil.getUUID32());
+    }
+
+    /**
+     * 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.isEmpty(fields)) {
+            getRequestBuilder.setFetchSource(fields.split(","), null);
+        }
+
+        GetResponse getResponse = getRequestBuilder.execute().actionGet();
+
+        return getResponse.getSource();
+    }
+
+
+
+
+    /**
+     * 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 sortOrder 
+     * @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, SortOrder sortOrder, String highlightField) {
+
+        SearchRequestBuilder searchRequestBuilder = client.prepareSearch(index);
+        if (!StringUtils.isEmpty(type)) {
+            searchRequestBuilder.setTypes(type.split(","));
+        }
+
+        if (!StringUtils.isEmpty(highlightField)) {
+            HighlightBuilder highlightBuilder = new HighlightBuilder();
+            // 设置高亮字段
+            highlightBuilder.field(highlightField);
+            searchRequestBuilder.highlighter(highlightBuilder);
+        }
+
+        searchRequestBuilder.setQuery(query);
+
+        if (!StringUtils.isEmpty(fields)) {
+            searchRequestBuilder.setFetchSource(fields.split(","), null);
+        }
+        searchRequestBuilder.setFetchSource(true);
+
+        if (!StringUtils.isEmpty(sortField)) {
+        	if(null==sortOrder){
+        		sortOrder = SortOrder.DESC;
+        	}
+            searchRequestBuilder.addSort(sortField, sortOrder);
+        }
+
+        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.isEmpty(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;
+    }
+    
+    private static String getUUID32(){
+	    String uuid = UUID.randomUUID().toString().replace("-", "").toLowerCase();
+	    return uuid;
+	}
+    
+}

src/main/java/com/gzzn/omms/msgexchangeapi/scheduled/FlightHisScheduled.java

@@ -0,0 +1,137 @@
+package com.gzzn.omms.msgexchangeapi.scheduled;
+
+import java.math.BigInteger;
+import java.util.ArrayList;
+import java.util.List;
+import java.util.Locale;
+import java.util.Map;
+
+import org.elasticsearch.index.query.BoolQueryBuilder;
+import org.elasticsearch.index.query.QueryBuilders;
+import org.springframework.beans.factory.annotation.Autowired;
+import org.springframework.beans.factory.annotation.Value;
+import org.springframework.scheduling.annotation.Async;
+import org.springframework.scheduling.annotation.Scheduled;
+import org.springframework.stereotype.Component;
+import org.springframework.util.StringUtils;
+
+import com.alibaba.fastjson.JSONObject;
+import com.gzzn.omms.msgexchangeapi.elasticsearch.ElasticsearchUtil;
+import com.gzzn.omms.msgexchangeapi.entity.msg.MOVEMENTINDICATOR;
+import com.gzzn.omms.msgexchangeapi.entity.msg.SCHD.FLTR;
+import com.gzzn.omms.msgexchangeapi.service.flightInfo.IFlightInfoService;
+import com.gzzn.omms.msgexchangeapi.utils.DateTimeUtil;
+import com.gzzn.omms.msgexchangeapi.utils.JsonUtil;
+
+/**
+ * 历史航班数据定时器
+ * @author fhc
+ *
+ */
+@Component
+@Async
+public class FlightHisScheduled {
+	
+	@Autowired
+	private IFlightInfoService flightInfoService;
+	
+	/**
+	 * 航班到达超过多久则成为历史航班数据（单位：秒）
+	 */
+	@Value("${hstCondition.ARRIVE_HST_TIME}")
+	private Integer ARRIVE_HST_TIME ; 
+	/**
+	* 历史航班数据索引
+	*/
+    private final String INDEX_NAME = "flight_hts";
+    /**
+    * 历史航班数据类型
+    */
+    private final String ES_TYPE = "_doc";
+	
+	
+	/**
+	 * 每天凌晨  将前一天的 动态消息中 已为历史的 放入ES中
+	 */
+	@Scheduled(cron = "${scheduled.flightInfoCron}")
+    public void scheduled(){
+		System.out.println("开始采集历史数据...");
+        //1.从redis中获取 当前的动态消息
+		List<FLTR> fltrs = flightInfoService.findAll();
+		List<BigInteger> fltrIdForHistory = new ArrayList<BigInteger>();
+		List<FLTR> fltrsHistory = new ArrayList<FLTR>();
+		
+		Long todayMixTime = DateTimeUtil.getTodayStartTime();
+		//遍历   查找出已经 可以作为历史数据的动态消息
+		//条件为 ：完成运营的航班是指已经落地超过2小时或已经起飞的
+		if(null!=fltrs && fltrs.size()>0){
+			for(FLTR fltr : fltrs){
+				String ACTT = fltr.getACTT(); //航班实际时间 ddMMMyyHHmm
+				if(StringUtils.isEmpty(ACTT)){
+					continue;
+				}
+				Long ACTT_longTime = DateTimeUtil.toDate(ACTT, "ddMMMyyHHmm",Locale.ENGLISH).getTime();
+				if(ACTT_longTime>=todayMixTime){
+					//计划时间为凌晨0点(包含)后的 不计入历史数据
+					continue;
+				}
+				
+				//离港航班
+				if(fltr.getMVIN().equals(MOVEMENTINDICATOR.D)){
+					//实际时间小于当前时间则为已离港
+					if(ACTT_longTime<=System.currentTimeMillis()){
+						//转为历史数据
+						fltrsHistory.add(fltr);
+					}
+				}
+				
+				//到达航班
+				if(fltr.getMVIN().equals(MOVEMENTINDICATOR.A)){
+					//到达实际时间超过规定时间的 则视为历史数据
+					if((System.currentTimeMillis()-ACTT_longTime)>ARRIVE_HST_TIME){
+						//转为历史数据
+						fltrsHistory.add(fltr);
+					}
+				}
+			}
+		}
+		
+
+		//往 elasticsearch中放入历史数据  通过FLID + ACTT 判断唯一  
+		if(!ElasticsearchUtil.isIndexExist(INDEX_NAME)){
+			ElasticsearchUtil.createIndex(INDEX_NAME);
+		}
+		if(null!=fltrsHistory && fltrsHistory.size()>0){
+			for(FLTR fltr:fltrsHistory){
+				JSONObject jsondata = JSONObject.parseObject(JsonUtil.getString(fltr));
+				//判断是否已经拥有该历史数据   因es类型原因请注意类型转换
+				String ACTT = fltr.getACTT();
+				Long FLID = fltr.getFLID().longValue();
+				BoolQueryBuilder boolQuery = QueryBuilders.boolQuery()
+														  .must(QueryBuilders.termQuery("ACTT",ACTT))
+														  .must(QueryBuilders.termQuery("FLID",FLID));
+				List<Map<String, Object>> listInEs = ElasticsearchUtil.searchListData(INDEX_NAME, ES_TYPE, boolQuery, null, "FLID", null, null, null);
+				if(null!=listInEs && listInEs.size()>0){
+					//获取es中的id 并更新当前历史数据
+					//唯一 获取第一个
+					Map<String, Object> map = listInEs.get(0);
+					String id = (String) map.get("id");
+					ElasticsearchUtil.updateDataById(jsondata, INDEX_NAME, ES_TYPE, id);
+					fltrIdForHistory.add(fltr.getFLID());
+				}else{
+					//新增历史数据
+					ElasticsearchUtil.addData(jsondata, INDEX_NAME, ES_TYPE);
+					fltrIdForHistory.add(fltr.getFLID());
+				}
+			}
+		}
+		
+		//删除redis中已成为历史数据的动态消息
+		if(null!=fltrIdForHistory && fltrIdForHistory.size()>0){
+			flightInfoService.batchDeleteFltr(fltrIdForHistory);
+		}
+		
+		System.out.println("结束采集历史数据...");
+    }
+	
+}

src/main/java/com/gzzn/omms/msgexchangeapi/service/flightInfo/FlightInfoServiceImpl.java

@@ -1,7 +1,9 @@
 package com.gzzn.omms.msgexchangeapi.service.flightInfo;
 
+import java.math.BigInteger;
 import java.util.ArrayList;
 import java.util.Collection;
+import java.util.Collections;
 import java.util.HashMap;
 import java.util.List;
 import java.util.Map;
@@ -84,4 +86,16 @@ public class FlightInfoServiceImpl implements IFlightInfoService {
 		redisService.hdel(redisKey, fltr.getFLID());
 		return true;
 	}
+	
+	@Override
+	public boolean batchDeleteFltr(List<BigInteger> flids) {
+		if(null!=flids){
+			flids.removeAll(Collections.singleton(null));
+		}
+		if(null==flids || flids.size()<=0){
+			return true;
+		}
+		redisService.hdel(redisKey, flids.toArray());
+		return true;
+	}
 }

src/main/java/com/gzzn/omms/msgexchangeapi/service/flightInfo/IFlightInfoService.java

@@ -1,5 +1,6 @@
 package com.gzzn.omms.msgexchangeapi.service.flightInfo;
 
+import java.math.BigInteger;
 import java.util.List;
 
 import com.gzzn.omms.msgexchangeapi.entity.Cminmsg;
@@ -38,4 +39,11 @@ public interface IFlightInfoService {
    * @return
    */
   public boolean deleteFltr(SCHD.FLTR fltr);
+
+  /**
+   * 批量物理删除动态航班信息
+   * @param flids
+   * @return
+   */
+  public boolean batchDeleteFltr(List<BigInteger> flids);
 }

src/main/java/com/gzzn/omms/msgexchangeapi/utils/DateTimeUtil.java

@@ -38,4 +38,33 @@ public class DateTimeUtil {
 			throw new RuntimeException("日期转换失败:"+e.getMessage());
 		}
 	}
+	
+	/**
+	 *  字符串转日期
+	 * @param strDate 字符串的日期
+	 * @param pattern 日期格式
+	 * @param locale
+	 * @return
+	 * @throws ParseException
+	 */
+	public static Date toDate(String strDate,String pattern,Locale locale) 
+	{
+		 try {
+			SimpleDateFormat sdf = new SimpleDateFormat(pattern,locale);
+			return sdf.parse(strDate);
+		} 
+		 catch (ParseException e) 
+		 {
+			throw new RuntimeException("日期转换失败:"+e.getMessage());
+		}
+	}
+	
+	/**
+     * 获取今天最小时间 单位秒
+     * @return 
+     */
+    public static Long getTodayStartTime(){
+        String time = DateTimeUtil.gtFormatStr(new Date(), "yyyy-MM-dd",Locale.ENGLISH)+" 00:00:00";
+        return DateTimeUtil.toDate(time,"yyyy-MM-dd HH:mm:ss").getTime();
+    }
 }

src/main/resources/application-dev.yml

@@ -53,4 +53,24 @@ msgExchange:
   intervalSeconds: 5
 logstash:
   host: 130.120.3.233:5000
-      
+scheduled:
+  #每日凌晨2点采集历史数据
+  #flightInfoCron: 0 14 18 * * ? 
+  flightInfoCron: 0 0 2 * * ? 
+  corePoolSize: 10
+  maxPoolSize: 50
+  queueCapacity: 10
+#计入历史航班数据的条件
+hstCondition:
+  #航班到达超过多久则成为历史航班数据（单位：秒）
+  ARRIVE_HST_TIME: 7200
+  
+# 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: 130.120.3.233
+  port: 9300
+  pool: 5
+  #注意cluster.name需要与config/elasticsearch.yml中的cluster.name一致
+  cluster:
+    name: docker-cluster