gfwleak/k18-ntcs-web-argus-service
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一、日志接口添加查询条件

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ntcAppLogs ：searchLabelAppId和searchLabelProtoId
ntcBgpLogs ：searchAsNum
ntcFtpLogs ：searchFtpUrl
ntcP2pLogs ：searchP2pFileId和searchP2pKeyword
ntcStreamMediaLogs ：searchUrl
ntcVoipLogs ：
	searchCallingAccount 和searchCalledAccount;
ntcDdosLogs : searchAttackType
二、修改App活跃IP top100查询接口，添加指标(searchQuota: 1:连接数 2：包数
3：字节数,默认为1)，返回数据中添加占比
This commit is contained in:
zhangdongxu
2019-01-08 18:16:05 +08:00
parent 39a86d948b
commit f51120bd33
12 changed files with 212 additions and 24 deletions
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1
src/main/java/com/nis/web/dao/dashboard/TrafficAppStatisticDao.java
View File

@@ -17,4 +17,5 @@ public interface TrafficAppStatisticDao {
List<Map> getAppList(@Param("beginTime")String beginTime,@Param("endTime")String endTime,@Param("appType")Integer[] appType);
List<TrafficAppFocusStatistic> getAppTrend(TrafficAppFocusStatistic entity);
List<AppConnRecordStatistic> appConnRecordTop100(AppConnRecordStatistic entity);
List<AppConnRecordStatistic> appConnRecordTotal(AppConnRecordStatistic entity);
}

34
src/main/java/com/nis/web/dao/dashboard/TrafficAppStatisticDao.xml
View File

@@ -46,24 +46,40 @@
<select id="getAppTrend" parameterType="com.nis.domain.restful.dashboard.TrafficAppFocusStatistic" resultType="com.nis.domain.restful.dashboard.TrafficAppFocusStatistic">
select stat_time time, max(unique_sip_num) sipNum,max(unique_dip_num) dipNum from traffic_app_focus_statistic t where
<![CDATA[ stat_time>= toDateTime(#{searchStartTime}) and stat_time< toDateTime(#{searchEndTime})
and app_id=toInt64(#{searchAppId}) ]]>
<if test="searchEntranceId">
<![CDATA[and entrance_id=toInt64(#{searchEntranceId}) ]]>
</if>
and app_id=toInt64(#{searchAppId}) and entrance_id=toInt64(#{searchEntranceId}) ]]>
group by stat_time
order by stat_time
</select>
<!-- App通联关系Top100 -->
<!-- App 活跃IP Top100 -->
<select id="appConnRecordTop100" parameterType="com.nis.domain.restful.dashboard.AppConnRecordStatistic" resultType="com.nis.domain.restful.dashboard.AppConnRecordStatistic">
select s_ip ipAddr, sum(c2s_byte_num + s2c_byte_num) byteNum, sum(c2s_pkt_num + s2c_pkt_num) pktNum, count(s_ip) logNum
from tbs_ods_ntc_conn_record_log t where
<![CDATA[ found_time>= toDateTime(#{searchStartTime}) and found_time< toDateTime(#{searchEndTime})
and app_id=toInt64(#{searchAppId}) and entrance_id=toInt64(#{searchEntranceId}) ]]>
group by s_ip
order by
<choose>
<when test="searchQuota !=null and searchQuota != '' and searchQuota == 2 ">
pktNum
</when>
<when test="searchQuota !=null and searchQuota != '' and searchQuota == 3 ">
byteNum
</when>
<otherwise>
logNum
</otherwise>
</choose>
desc limit 100
</select>
<!-- App 所有IP 连接数、包数、字节数 总量统计 用于计算活跃IP Top100的占比情况 -->
<select id="appConnRecordTotal" parameterType="com.nis.domain.restful.dashboard.AppConnRecordStatistic" resultType="com.nis.domain.restful.dashboard.AppConnRecordStatistic">
select sum(c2s_byte_num + s2c_byte_num) byteNum, sum(c2s_pkt_num + s2c_pkt_num) pktNum, count(s_ip) logNum
from tbs_ods_ntc_conn_record_log t where
<![CDATA[ found_time>= toDateTime(#{searchStartTime}) and found_time< toDateTime(#{searchEndTime})
and app_id=toInt64(#{searchAppId}) ]]>
<if test="searchEntranceId">
<if test="searchEntranceId !=null and searchEntranceId != ''">
<![CDATA[and entrance_id=toInt64(#{searchEntranceId}) ]]>
</if>
group by s_ip
order by logNum desc limit 100
</select>
</mapper>