diff --git a/src/main/java/com/nis/web/dao/NtcReportDao.xml b/src/main/java/com/nis/web/dao/NtcReportDao.xml
index 7b242a9..6aa157d 100644
--- a/src/main/java/com/nis/web/dao/NtcReportDao.xml
+++ b/src/main/java/com/nis/web/dao/NtcReportDao.xml
@@ -876,14 +876,16 @@
 	<insert id="insertNtcIpRangeBatch"
 		parameterType="com.nis.domain.restful.NtcIpRangeReport">
 		INSERT INTO traffic_ip_identify
-		(ip_start,ip_end,ip_start_num,ip_end_num,ip_sub,area_type,country)
+		(ip_start,ip_end,ip_start_num,ip_end_num,ip_sub,area_type,country,desc_detail)
 		VALUES
 		<foreach collection="list" item="ipRange" separator=",">
 			(#{ipRange.ipStart}, #{ipRange.ipEnd},
 			#{ipRange.ipStartNum},
 			#{ipRange.ipEndNum},
 			#{ipRange.ipSub}, #{ipRange.areaType},
-			#{ipRange.country})
+			#{ipRange.country},
+			#{ipRange.desc}
+			)
 		</foreach>
 	</insert>
 
diff --git a/src/main/java/com/nis/web/dao/TrafficReportDao.xml b/src/main/java/com/nis/web/dao/TrafficReportDao.xml
index f0dd786..02c0d25 100644
--- a/src/main/java/com/nis/web/dao/TrafficReportDao.xml
+++ b/src/main/java/com/nis/web/dao/TrafficReportDao.xml
@@ -840,15 +840,12 @@
 			<choose>
 				<when
 					test="searchReportStartTime != null and searchReportStartTime !=''">
-					<![CDATA[AND REPORT_TIME >= STR_TO_DATE(#{searchReportStartTime},'%Y-%m-%d %H:%i:%s') AND REPORT_TIME < STR_TO_DATE(#{searchReportEndTime},'%Y-%m-%d %H:%i:%s')]]>
+					<![CDATA[AND report_time >= #{searchReportStartTime} AND report_time < #{searchReportEndTime}]]>
 				</when>
-				<otherwise>
-					<![CDATA[AND REPORT_TIME>DATE_SUB(now(), INTERVAL 1 HOUR) ]]>
-				</otherwise>
 			</choose>
 		</where>
 		ORDER BY
-		REPORT_TIME ASC
+		report_time ASC
 	</select>
 
 	<select id="findNtcIpRangeReport"
diff --git a/src/main/java/com/nis/web/service/LogDataService.java b/src/main/java/com/nis/web/service/LogDataService.java
index af8d132..6f00d91 100644
--- a/src/main/java/com/nis/web/service/LogDataService.java
+++ b/src/main/java/com/nis/web/service/LogDataService.java
@@ -68,7 +68,7 @@ public class LogDataService {
 		sql.append(" AS pps ,  SUM(c2s_byte_num + s2c_byte_num)*8/1024/1024/1024/");
 		sql.append(second);
 		sql.append(
-				" AS bps  FROM tbs_ods_ntc_conn_record_log_local t WHERE found_time IN ( SELECT DISTINCT found_time FROM tbs_ods_ntc_conn_record_log_local WHERE  found_time >= ");
+				" AS bps  FROM tbs_ods_ntc_conn_record_log t WHERE found_time IN ( SELECT DISTINCT found_time FROM tbs_ods_ntc_conn_record_log WHERE  found_time >= ");
 		sql.append(startTime);
 		sql.append(" and found_time< ");
 		sql.append(endTime);
@@ -104,7 +104,7 @@ public class LogDataService {
 		sql.append(" AS bps,");
 		sql.append(asn);
 		sql.append(
-				" asn FROM tbs_ods_ntc_conn_record_log_local t WHERE found_time IN ( SELECT DISTINCT found_time FROM tbs_ods_ntc_conn_record_log_local WHERE  found_time >= ");
+				" asn FROM tbs_ods_ntc_conn_record_log t WHERE found_time IN ( SELECT DISTINCT found_time FROM tbs_ods_ntc_conn_record_log WHERE  found_time >= ");
 		sql.append(startTime);
 		sql.append(" and found_time< ");
 		sql.append(endTime);
@@ -302,7 +302,7 @@ public class LogDataService {
 		}
 		sql.append(orderBy.toLowerCase() + "  limit " + startNum + "," + page.getPageSize());// clickhouse的分页与mysql相同
 
-		if (tableName.toUpperCase().equals("TBS_ODS_NTC_CONN_RECORD_LOG_LOCAL")) {
+		if (tableName.toUpperCase().equals("TBS_ODS_NTC_CONN_RECORD_LOG")) {
 			searchFromLocalCK(page, bean, sql, countSql);
 		} else {
 			searchFromDataCenter(page, bean, sql, countSql);
diff --git a/src/main/java/com/nis/web/task/GetIpRangeTask.java b/src/main/java/com/nis/web/task/GetIpRangeTask.java
index 9499772..e38c4a1 100644
--- a/src/main/java/com/nis/web/task/GetIpRangeTask.java
+++ b/src/main/java/com/nis/web/task/GetIpRangeTask.java
@@ -1,10 +1,13 @@
 package com.nis.web.task;
 
 import java.util.ArrayList;
+import java.util.Arrays;
 import java.util.Collections;
-import java.util.HashMap;
+import java.util.LinkedHashMap;
+import java.util.LinkedHashSet;
 import java.util.List;
 import java.util.Map;
+import java.util.Random;
 import java.util.Set;
 import java.util.concurrent.ExecutionException;
 import java.util.concurrent.ExecutorService;
@@ -41,7 +44,7 @@ public class GetIpRangeTask {
 			.loadDataFileV6(Constants.IPLOCATIONLIBRARYPATH).build();
 
 //	@Scheduled(cron = "${getIpRangeTaskCron}")
-	public void test() {
+	public void getIpRangeTask() {
 		try {
 			// 删除数据,重新全量导入
 			dao.truncateNtcIpRange();
@@ -52,16 +55,24 @@ public class GetIpRangeTask {
 		}
 	}
 
+	/**
+	 * 将ip转换为数字与ip的对应关系,key是ip的数字形式
+	 * 
+	 * @param allIp
+	 * @return
+	 * @throws InterruptedException
+	 * @throws ExecutionException
+	 */
 	public Map<Long, String> getNumAndIpReal(List<String> allIp) throws InterruptedException, ExecutionException {
 		logger.info("开始将ip转换为数字");
-		Map<Long, String> map = new HashMap<>();
+		Map<Long, String> map = new LinkedHashMap<>();
 		int ever = 10000;// 每个线程处理10000条ip转数字
 		int count = allIp.size() / ever;
 		if (allIp.size() % ever != 0) {
 			count++;
 		}
 		List<Future<Map<Long, String>>> futures = new ArrayList<>();
-		ExecutorService executor = Executors.newFixedThreadPool(10);// 10个线程
+		ExecutorService executor = Executors.newFixedThreadPool(35);// 10个线程
 		for (int i = 0; i < count; i++) {
 			int start = i * ever;
 			int end = i * ever + ever;
@@ -86,20 +97,107 @@ public class GetIpRangeTask {
 		return map;
 	}
 
+	public static void main(String[] args) {
+//		a();
+		String ip = "2.72.0.0";
+		long currentTimeMillis = System.currentTimeMillis();
+		System.out.println(ipLookup.countryLookup(ip));
+//		System.out.println(ipLookup.cityLookup(ip));
+//		System.out.println(ipLookup.cityLatLngLookup(ip));
+//		System.out.println(ipLookup.cityLookupDetail(ip));
+		long end = System.currentTimeMillis();
+		System.out.println(end-currentTimeMillis);
+
+	}
+
+	public static void b() {
+		long[] arr = { 1l, 2l, 3l, 5l, 6l, 7l };
+//	String groupByNumer = test(arr);
+		String groupByNumer = groupByNumer(arr);
+		String[] split = org.apache.commons.lang.StringUtils.split(groupByNumer, ",");
+		for (String str : split) {
+			System.out.println(str);
+		}
+	}
+
+	public static void a() {
+		int number = 2000000;
+		int range = number + 1;
+		long start = System.currentTimeMillis();
+		Set<Long> hashSet = new LinkedHashSet<>();
+		Random random = new Random();
+		for (int i = 0; i < number; i++) {
+			hashSet.add(Long.parseLong(random.nextInt(range) + ""));
+		}
+		long end1 = System.currentTimeMillis();
+		System.out.println("生成数组需要" + (end1 - start) / 1000 + "秒");
+		System.out.println(hashSet.size());
+		long[] arr = new long[hashSet.size()];
+		int i = 0;
+		for (long l : hashSet) {
+			arr[i] = l;
+			i++;
+		}
+		long end2 = System.currentTimeMillis();
+		System.out.println("set转数组需要" + (end2 - end1) / 1000 + "秒");
+		Arrays.sort(arr);
+		long end3 = System.currentTimeMillis();
+		System.out.println("排序需要" + (end3 - end2) / 1000 + "秒");
+		String groupByNumer = groupByNumer(arr);
+		long end4 = System.currentTimeMillis();
+		System.out.println("获取连续数字需要" + (end4 - end3) / 1000 + "秒");
+		String[] split = org.apache.commons.lang.StringUtils.split(groupByNumer, ",");
+		long end5 = System.currentTimeMillis();
+		System.out.println("切割需要" + (end5 - end4) / 1000 + "秒");
+		for (String str : split) {
+			System.out.println(str);
+		}
+	}
+
 	/**
 	 * 将数组中连续的数据合并在一起输出,例如传入1,2,3,5,6,7,9,11输出1-3,4-7,9,11 .注意传入的数组必须是有序的,从小到大排序
 	 * 
 	 * @param noNum
 	 * @return
 	 */
-	private static String groupByNumer(Long[] sortArr) {
+	private static String groupByNumer(long[] sortArr) {
+		int state = 0;
+		StringBuffer result = new StringBuffer();
+		for (int i = 0; i < sortArr.length; i++) {
+			if (i == sortArr.length - 1) {
+				state = 2;
+			}
+			if (state == 0) {
+				if (sortArr[i + 1] == sortArr[i] + 1) {
+					result.append(sortArr[i]);
+					result.append("-");
+					state = 1;
+				} else {
+					result.append(sortArr[i]);
+					result.append(",");
+
+				}
+			} else if (state == 1) {
+				if (sortArr[i + 1] != sortArr[i] + 1) {
+					result.append(sortArr[i]);
+					result.append(",");
+					state = 0;
+				}
+			} else {
+				result.append(sortArr[i]);
+			}
+		}
+		return result.toString();
+	}
+
+	public static String test(long[] sortArr) {
 		int state = 0;
 		String result = "";
 		for (int i = 0; i < sortArr.length; i++) {
 			if (i == sortArr.length - 1)
 				state = 2;
 			if (state == 0) {
-				if (sortArr[i + 1].longValue() == sortArr[i].longValue() + 1) {
+				if (sortArr[i + 1] == sortArr[i] + 1) {
 					result += String.valueOf(sortArr[i]);
 					result += "-";
 					state = 1;
@@ -118,17 +216,36 @@ public class GetIpRangeTask {
 			}
 		}
 		return result;
+
 	}
 
 	public void getAllIp(Integer frontier) throws Exception {
+		if (frontier == 1) {
+			logger.info("开始获取境内ip");
+		} else {
+			logger.info("开始获取境外ip");
+		}
 		List<String> allIp = localLogJDBCByDruid.getAllIp(frontier);
+		if (frontier == 1) {
+			logger.info("获取境内ip成功,共{}条", allIp.size());
+		} else {
+			logger.info("获取境外ip成功,共{}条", allIp.size());
+		}
+		logger.info("获取境外ip成功,共{}条", allIp.size());
 		Map<Long, String> map = getNumAndIpReal(allIp);
 		Set<Long> keySet = map.keySet();
-		List<Long> ipList = new ArrayList<>(keySet);
-		Long[] array = new Long[ipList.size()];
-		Collections.sort(ipList);
-		ipList.toArray(array);
+		long[] array = new long[keySet.size()];
+		int index = 0;
+		for (long l : keySet) {
+			array[index] = l;
+			index++;
+		}
+		Arrays.sort(array);
+		long startTime = System.currentTimeMillis();
 		String result = groupByNumer(array);
+		long endTime = System.currentTimeMillis();
+		logger.info("解析连续数字用时{}秒", (endTime - startTime) / 1000);
+//		String result = null;
 		if (result != null && !result.trim().equals("")) {
 			String substring = result;
 			if (result.endsWith(",")) {
@@ -142,17 +259,23 @@ public class GetIpRangeTask {
 				if (ipAddr.length > 1) {
 					String startIp = ipAddr[0];
 					String endIp = ipAddr[1];
-					NtcIpRangeReport ntcIpRangeReport = new NtcIpRangeReport();
-					String startIpStr = map.get(Long.parseLong(startIp));
-					String endIpStr = map.get(Long.parseLong(endIp));
-					ntcIpRangeReport.setIpStart(startIpStr);
-					ntcIpRangeReport.setIpEnd(endIpStr);
-					ntcIpRangeReport.setIpEndNum(Long.parseLong(endIp));
-					ntcIpRangeReport.setIpStartNum(Long.parseLong(startIp));
-					ntcIpRangeReport.setIpSub(IPUtil.getMask(startIpStr, endIpStr));
-					ntcIpRangeReport.setCountry(ipLookup.countryLookup(startIpStr));
-					ntcIpRangeReport.setAreaType(frontier);
-					ntcIpRangeReportList.add(ntcIpRangeReport);
+					try {
+						NtcIpRangeReport ntcIpRangeReport = new NtcIpRangeReport();
+						String startIpStr = map.get(Long.parseLong(startIp));
+						String endIpStr = map.get(Long.parseLong(endIp));
+						ntcIpRangeReport.setIpStart(startIpStr);
+						ntcIpRangeReport.setIpEnd(endIpStr);
+						ntcIpRangeReport.setIpEndNum(Long.parseLong(endIp));
+						ntcIpRangeReport.setIpStartNum(Long.parseLong(startIp));
+						ntcIpRangeReport.setIpSub(IPUtil.getMask(startIpStr, endIpStr));
+						ntcIpRangeReport.setCountry(ipLookup.countryLookup(startIpStr));
+						ntcIpRangeReport.setDesc(ipLookup.cityLookup(startIpStr));
+						ntcIpRangeReport.setAreaType(frontier);
+						ntcIpRangeReportList.add(ntcIpRangeReport);
+					} catch (Exception e) {
+						logger.error("数据转NtcIpRangeReport,失败原因:{}", ExceptionUtil.getExceptionMsg(e));
+					}
+
 				} else {
 					list.add(Long.parseLong(str));
 				}
@@ -163,17 +286,22 @@ public class GetIpRangeTask {
 				if (i < list.size() - 1) {
 					Long startIp = list.get(i);
 					Long endIp = list.get(i + 1);
-					NtcIpRangeReport ntcIpRangeReport = new NtcIpRangeReport();
-					String startIpStr = map.get(startIp);
-					String endIpStr = map.get(endIp);
-					ntcIpRangeReport.setIpStart(startIpStr);
-					ntcIpRangeReport.setIpEnd(endIpStr);
-					ntcIpRangeReport.setIpEndNum(endIp);
-					ntcIpRangeReport.setIpStartNum(startIp);
-					ntcIpRangeReport.setAreaType(frontier);
-					ntcIpRangeReport.setIpSub(IPUtil.getMask(startIpStr, endIpStr));
-					ntcIpRangeReport.setCountry(ipLookup.countryLookup(startIpStr));
-					ntcIpRangeReportList.add(ntcIpRangeReport);
+					try {
+						NtcIpRangeReport ntcIpRangeReport = new NtcIpRangeReport();
+						String startIpStr = map.get(startIp);
+						String endIpStr = map.get(endIp);
+						ntcIpRangeReport.setIpStart(startIpStr);
+						ntcIpRangeReport.setIpEnd(endIpStr);
+						ntcIpRangeReport.setIpEndNum(endIp);
+						ntcIpRangeReport.setIpStartNum(startIp);
+						ntcIpRangeReport.setAreaType(frontier);
+						ntcIpRangeReport.setIpSub(IPUtil.getMask(startIpStr, endIpStr));
+						ntcIpRangeReport.setCountry(ipLookup.countryLookup(startIpStr));
+						ntcIpRangeReport.setDesc(ipLookup.cityLookup(startIpStr));
+						ntcIpRangeReportList.add(ntcIpRangeReport);
+					} catch (Exception e) {
+						logger.error("数据转NtcIpRangeReport,失败原因:{}", ExceptionUtil.getExceptionMsg(e));
+					}
 				}
 			}
 			int size = ntcIpRangeReportList.size();
diff --git a/src/main/java/com/nis/web/task/IpToLongThread.java b/src/main/java/com/nis/web/task/IpToLongThread.java
index 44355be..5de487b 100644
--- a/src/main/java/com/nis/web/task/IpToLongThread.java
+++ b/src/main/java/com/nis/web/task/IpToLongThread.java
@@ -25,6 +25,7 @@ public class IpToLongThread implements Callable<Map<Long, String>> {
 	@Override
 	public Map<Long, String> call() throws Exception {
 		Map<Long, String> map=new HashMap<>();
+//		logger.info("线程{}开始执行,list.size={}", Thread.currentThread().getName(),list.size());
 		logger.info("线程{}开始执行", Thread.currentThread().getName());
 		for (int i = 0; i < list.size(); i++) {
 			map.put(ipToLong(list.get(i)), list.get(i));
diff --git a/src/main/resources/applicationConfig-rule.properties b/src/main/resources/applicationConfig-rule.properties
index 4cb06fe..c3d3ca3 100644
--- a/src/main/resources/applicationConfig-rule.properties
+++ b/src/main/resources/applicationConfig-rule.properties
@@ -170,12 +170,12 @@ service=1:128;2:128;5:96;6:1;16:16;17:16;18:16;19:16;20:16;21:16;22:16;23:16;24:
 399=10:MM_COMPILE;11:MM_GROUP;14:MM_SUBSCRIBE_ID;16:MM_FILE_DIGEST;18:NTC_IP_RANGE
 
 #0x200	PXY拦截IP
-512=10:PXY_INTERCEPT_COMPILE;11:PXY_INTERCEPT_GROUP;12:PXY_INTERCEPT_IP;14:PXY_CTRL_SUBSCRIBE_ID;18:NTC_IP_RANGE
-#0x201	PXY拦截域名
+512=10:PXY_INTERCEPT_COMPILE;11:PXY_INTERCEPT_GROUP;12:PXY_INTERCEPT_IP;14:PXY_INTERCEPT_DOMAIN,PXY_CTRL_SUBSCRIBE_ID;18:NTC_IP_RANGE
+#0x201	PXY拦截域名(与0x200合并)
 513=10:PXY_INTERCEPT_COMPILE;11:PXY_INTERCEPT_GROUP;14:PXY_INTERCEPT_DOMAIN,PXY_CTRL_SUBSCRIBE_ID;18:NTC_IP_RANGE
 #0x202	PXY限速IP
-514=10:PXY_INTERCEPT_COMPILE;11:PXY_INTERCEPT_GROUP;12:PXY_INTERCEPT_IP;14:PXY_CTRL_SUBSCRIBE_ID;18:NTC_IP_RANGE
-#0x203	PXY限速域名
+514=10:PXY_INTERCEPT_COMPILE;11:PXY_INTERCEPT_GROUP;12:PXY_INTERCEPT_IP;14:PXY_INTERCEPT_DOMAIN,PXY_CTRL_SUBSCRIBE_ID;18:NTC_IP_RANGE
+#0x203	PXY限速域名(与0x202合并)
 515=10:PXY_INTERCEPT_COMPILE;11:PXY_INTERCEPT_GROUP;14:PXY_INTERCEPT_DOMAIN,PXY_CTRL_SUBSCRIBE_ID;18:NTC_IP_RANGE
 #0x205	基于PXY IP替换
 517=10:PXY_INTERCEPT_COMPILE;11:PXY_INTERCEPT_GROUP;12:PXY_INTERCEPT_IP;14:PXY_INTERCEPT_PKT_BIN,PXY_CTRL_SUBSCRIBE_ID;18:NTC_IP_RANGE
@@ -342,7 +342,7 @@ unMaatService=3:32;4:96;25:32;28:32;64;65;261:16;262:16;263:16;264:16;265:16;266
 #0x402	APP DOMAIN特征发现	1026:2,5;
 #0x404	APP IP特征		1028:2,5;
 ##########
-serviceDBIndex=1:2,4,5;2:2,4,5;5:2,5;6:2,5;66:2,4,5;16:2;17:2;18:2;19:2;20:2;21:2;22:2;23:2;24:2;26:2;27:2;30:2;31:2;32:2;33:2,5;34:2;35:2;36:2;37:2;38:2;39:2;40:2;128:2;129:2;130:2;131:2;132:2;133:2;134:2;135:2;136:2;137:2;138:2;139:2;140:2;142:2;143:2;144:2;145:2;146:2;147:2;148:2;149:2;150:2;151:2;152:2;256:2;257:2;258:2;259:2;260:2;267:2;271:2;272:2;273:3;274:5;384:2;385:2;386:2;387:2;388:2;395:2;399:3;512:4,5;513:4,2,5,7;514:4,5;515:4,2,5,7;517:4,5;518:4,5;520:4;521:4;528:4;544:4;560:4;576:4;592:4;608:4;624:4;625:4;640:4;641:4;642:4;750:4;1024:2;1025:2;1026:2,5;1027:2;1028:2,5;1029:2;1030:2;1040:2,5;1041:2;1042:2;1056:2,5;1152:2;3:5;4:5;25:5;28:5;64:2;65:2;261:3;262:3;263:3;264:3;265:3;266:3;268:3;269:3;270:3;389:3;390:3;391:3;392:3;393:3;394:3;396:3;397:3;398:3;834:6;835:6;836:6
+serviceDBIndex=1:2,4,5;2:2,4,5;5:2,5;6:2,5;66:2,4,5;16:2;17:2;18:2;19:2;20:2;21:2;22:2;23:2;24:2;26:2;27:2;30:2;31:2;32:2;33:2,5;34:2;35:2;36:2;37:2;38:2;39:2;40:2;128:2;129:2;130:2;131:2;132:2;133:2;134:2;135:2;136:2;137:2;138:2;139:2;140:2;142:2;143:2;144:2;145:2;146:2;147:2;148:2;149:2;150:2;151:2;152:2;256:2;257:2;258:2;259:2;260:2;267:2;271:2;272:2;273:3;274:5;384:2;385:2;386:2;387:2;388:2;395:2;399:3;512:4,5,7;513:4,2,5,7;514:4,5,7;515:4,2,5,7;517:4,5;518:4,5;520:4;521:4;528:4;544:4;560:4;576:4;592:4;608:4;624:4;625:4;640:4;641:4;642:4;750:4;1024:2;1025:2;1026:2,5;1027:2;1028:2,5;1029:2;1030:2;1040:2,5;1041:2;1042:2;1056:2,5;1152:2;3:5;4:5;25:5;28:5;64:2;65:2;261:3;262:3;263:3;264:3;265:3;266:3;268:3;269:3;270:3;389:3;390:3;391:3;392:3;393:3;394:3;396:3;397:3;398:3;834:6;835:6;836:6
 
 ##阀门配置在redisdb的序号
 tapRedisDb=5
@@ -358,13 +358,13 @@ tapRedisDb=5
 #0x205	基于PXY IP替换	517
 #0x402	APP DOMAIN特征发现	1026
 #0x404	APP IP特征		1028
-maat2Valve=1:ipRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;2:strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;33:strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;512:ipRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;513:strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;514:ipRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;515:strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;517:ipRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;518:ipRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;1026:strRegion|strStrRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;1028:ipRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;1040:strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;1056:strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;5:ipRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE&COMPILE_ID;6:ipRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE&COMPILE_ID
+maat2Valve=1:ipRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;2:strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;33:strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;512:ipRegion|strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;514:ipRegion|strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;517:ipRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;518:ipRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;1026:strRegion|strStrRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;1028:ipRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;1040:strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;1056:strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;5:ipRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE&COMPILE_ID;6:ipRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE&COMPILE_ID
 
 
 
 ##webfocus配置在redisdb的序号
 webFocusDb=7
-maat2WebFocus=513:strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;515:strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;
+maat2WebFocus=512:strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;514:strRegion@ACTION&SERVICE&USER_REGION&EFFECTIVE_RANGE;
 
 
 ##记录哪些service可以被分组复用(只有maat类配置可以被分组复用)
diff --git a/src/main/resources/applicationLog-clickhouse.properties b/src/main/resources/applicationLog-clickhouse.properties
index 72aa286..9845875 100644
--- a/src/main/resources/applicationLog-clickhouse.properties
+++ b/src/main/resources/applicationLog-clickhouse.properties
@@ -37,7 +37,7 @@ MmFileDigestLogClickHouseTable=TBS_ODS_MM_FILE_DIGEST_LOG
 NtcKeywordsUrlLogClickHouseTable=TBS_ODS_NTC_KEYWORDS_URL_LOG
 NtcCollectVoipLogClickHouseTable=TBS_ODS_NTC_COLLECT_VOIP_LOG
 NtcCollectRadiusLogClickHouseTable=TBS_ODS_NTC_COLLECT_RADIUS_LOG
-NtcConnRecordLogClickHouseTable=TBS_ODS_NTC_CONN_RECORD_LOG_LOCAL
+NtcConnRecordLogClickHouseTable=TBS_ODS_NTC_CONN_RECORD_LOG