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1:更改首页流量统计的sql

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2:更改topic数据的获取方式
3:修改sql中where错误
4:修改表结构sql
This commit is contained in:
renkaige
2018-12-10 10:23:48 +06:00
parent 599554ee0d
commit 6553fd92ee
7 changed files with 547 additions and 421 deletions
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4
db/init/galaxy_stru_ui_mysql.sql
View File

@@ -161,8 +161,10 @@ CREATE TABLE `ui_code_protocol_type_dic` (
`id` int(11) NOT NULL AUTO_INCREMENT,
`protocol_type` varchar(255) DEFAULT '',
`view_code` varchar(255) DEFAULT NULL,
`service_id` int(11) DEFAULT NULL,
`remarks` varchar(255) DEFAULT NULL,
PRIMARY KEY (`id`)
) ENGINE=FEDERATED AUTO_INCREMENT=1 DEFAULT CHARSET=utf8 CONNECTION='mysql://root:111111@192.168.10.204:3306/gwall/code_protocol_type_dic';
) ENGINE=FEDERATED AUTO_INCREMENT=1 DEFAULT CHARSET=utf8 CONNECTION='mysql://root:111111@10.0.4.6:3306/ntc_db/code_protocol_type_dic';
CREATE TABLE `ui_code_service_type_dic` (

13
src/main/java/com/nis/web/dao/dashboard/NtcTotalReportDao.xml
View File

@@ -32,8 +32,17 @@
</select>
<!-- 根据最近时间条获取带宽，进出口流量 -->
<select id="getNetFlowPortInfoNew" resultType="java.util.HashMap">
SELECT IFNULL(SUM(c2s_byte_len),0) AS inoctets ,IFNULL(SUM(s2c_byte_len),0) AS outoctets FROM traffic_trans_statistic
WHERE stat_time > DATE_SUB(#{statTime}, INTERVAL 1 HOUR)
SELECT SUM(total_traffic.inoctets) AS inoctets ,SUM(total_traffic.outoctets) AS outoctets FROM (
SELECT IFNULL(SUM(c2s_byte_len),0) inoctets ,IFNULL(SUM(s2c_byte_len),0) outoctets FROM traffic_trans_statistic
where stat_time = (SELECT stat_time FROM traffic_trans_statistic WHERE entrance_id=1 ORDER BY stat_time DESC LIMIT 0,1) and entrance_id=1
UNION ALL
SELECT IFNULL(SUM(c2s_byte_len),0) inoctets ,IFNULL(SUM(s2c_byte_len),0) outoctets FROM traffic_trans_statistic
where stat_time = (SELECT stat_time FROM traffic_trans_statistic WHERE entrance_id=2 ORDER BY stat_time DESC LIMIT 0,1) and entrance_id=2
) total_traffic
</select>
<!-- 获取近五分钟的带宽根据ip46，协议 tcp,udp变化 -->
<select id="getBandwidthTrans" resultMap="BandwidthResultMap">

6
src/main/java/com/nis/web/dao/dashboard/TrafficHttpStatisticDao.java
View File

@@ -19,7 +19,9 @@ public interface TrafficHttpStatisticDao {
List<Map> getDomainByWebsiteServiceId(@Param("websiteServiceId") Integer websiteServiceId,@Param("statTime") Date statTime);
Map websiteDomainOthers(@Param("webIdList") List webIdList,@Param("websiteServiceId") Integer websiteServiceId,@Param("statTime") Date statTime);
List<Map> getDomainByTopicList(@Param("statTime") Date statTime);
List<Map> getDomainByTopicList(@Param("statTime") Date statTime,@Param("endTime")Date endTime);
List<Map> getDomainByTopicId(@Param("topicId")Object TopicId,@Param("statTime")Date statTime);
List<Map> getUiWebsiteDomainTopicList( );
List<Map> getDomainByTopicId( @Param("statTime")Date statTime ,@Param("endTime")Date endTime);
}

175
src/main/java/com/nis/web/dao/dashboard/TrafficHttpStatisticDao.xml
View File

@@ -1,87 +1,106 @@
<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mapper PUBLIC "-//mybatis.org//DTD Mapper 3.0//EN" "http://mybatis.org/dtd/mybatis-3-mapper.dtd">
<mapper namespace="com.nis.web.dao.dashboard.TrafficHttpStatisticDao">
<resultMap id="BaseResultMap" type="com.nis.domain.restful.dashboard.TrafficHttpStatistic">
<id column="stat_id" jdbcType="INTEGER" property="statId" />
<result column="link_num" jdbcType="INTEGER" property="linkNum" />
<result column="web_id" jdbcType="INTEGER" property="webId" />
<result column="c2s_pkt_num" jdbcType="BIGINT" property="c2sPktNum" />
<result column="s2c_pkt_num" jdbcType="BIGINT" property="s2cPktNum" />
<result column="c2s_byte_len" jdbcType="BIGINT" property="c2sByteLen" />
<result column="s2c_byte_len" jdbcType="BIGINT" property="s2cByteLen" />
<result column="stat_time" jdbcType="TIMESTAMP" property="statTime" />
</resultMap>
<sql id="Base_Column_List">
stat_id, web_type, web_id, c2s_pkt_num, s2c_pkt_num, c2s_byte_len, s2c_byte_len,
stat_time
</sql>
<!-- 获取最近时间并且有效 -->
<select id="getMaxStatTime" resultType="com.nis.domain.restful.dashboard.TrafficHttpStatistic">
SELECT stat_time statTime FROM traffic_http_statistic order by stat_time desc limit 1
</select>
<!-- 根据服务网站将域名分类 网站列表-->
<select id="getDomainByWebsiteList" resultType="com.nis.domain.restful.dashboard.TrafficHttpStatistic">
SELECT SUM(c2s_byte_len+s2c_byte_len) count, IFNULL( website_service_id, 268435455 ) websiteServiceId
FROM TRAFFIC_HTTP_STATISTIC t
LEFT JOIN ui_website_domain_topic u ON t.web_id = u.id
where t.stat_time > DATE_SUB(#{statTime},INTERVAL 1 hour)
GROUP BY u.website_service_id ORDER BY count desc limit 0,10
</select>
<!-- 根据主题将域名分类 主题列表 最近五分钟top10-->
<select id="getDomainByTopicList" resultType="java.util.HashMap">
SELECT SUM(c2s_byte_len+s2c_byte_len) count, IFNULL( topic_id, 268435455 ) topicId
FROM TRAFFIC_HTTP_STATISTIC t
LEFT JOIN ui_website_domain_topic u ON t.web_id = u.id
and t.stat_time > DATE_SUB(#{statTime},INTERVAL 1 hour)
GROUP BY u.topic_id ORDER BY count desc limit 0,10
<mapper
namespace="com.nis.web.dao.dashboard.TrafficHttpStatisticDao">
<resultMap id="BaseResultMap"
type="com.nis.domain.restful.dashboard.TrafficHttpStatistic">
<id column="stat_id" jdbcType="INTEGER" property="statId" />
<result column="link_num" jdbcType="INTEGER" property="linkNum" />
<result column="web_id" jdbcType="INTEGER" property="webId" />
<result column="c2s_pkt_num" jdbcType="BIGINT"
property="c2sPktNum" />
<result column="s2c_pkt_num" jdbcType="BIGINT"
property="s2cPktNum" />
<result column="c2s_byte_len" jdbcType="BIGINT"
property="c2sByteLen" />
<result column="s2c_byte_len" jdbcType="BIGINT"
property="s2cByteLen" />
<result column="stat_time" jdbcType="TIMESTAMP"
property="statTime" />
</resultMap>
<sql id="Base_Column_List">
stat_id, web_type, web_id, c2s_pkt_num, s2c_pkt_num, c2s_byte_len,
s2c_byte_len,
stat_time
</sql>
<!-- 获取最近时间并且有效 -->
<select id="getMaxStatTime"
resultType="com.nis.domain.restful.dashboard.TrafficHttpStatistic">
SELECT stat_time statTime FROM traffic_http_statistic order by stat_time
desc limit 1
</select>
<!-- 根据服务网站将域名分类 网站列表 -->
<select id="getDomainByWebsiteList"
resultType="com.nis.domain.restful.dashboard.TrafficHttpStatistic">
SELECT SUM(c2s_byte_len+s2c_byte_len) count, IFNULL( website_service_id,
268435455 ) websiteServiceId
FROM TRAFFIC_HTTP_STATISTIC t
LEFT JOIN ui_website_domain_topic u ON t.web_id = u.id
where t.stat_time > DATE_SUB(#{statTime},INTERVAL 1 hour)
GROUP BY u.website_service_id ORDER BY count desc limit 0,10
</select>
</select>
<!--获取上个时间段该网站站域名流量的数据量 -->
<select id="preWebsiteListCount" resultType="java.lang.Long">
SELECT SUM(c2s_byte_len+s2c_byte_len) count FROM traffic_http_statistic t
LEFT JOIN ui_website_domain_topic u ON t.web_id = u.id
WHERE u.website_service_id=#{websiteServiceId}
and stat_time &lt; DATE_SUB(#{statTime},INTERVAL 1 hour)
and stat_time > DATE_SUB(#{statTime},INTERVAL 2 hour)
</select>
<!-- 根据主题将域名分类 主题列表 最近五分钟top10 -->
<select id="getDomainByTopicList" resultType="java.util.HashMap">
SELECT
IFNULL(topic_id, 268435455) topicId,
id
FROM
ui_website_domain_topic u
GROUP BY
u.topic_id,
id
</select>
<!--获取网站列表列表 -->
<!-- <select id="websiteList" resultMap="BaseResultMap">
SELECT web_id webId, (SUM(c2s_pkt_num)+SUM(s2c_pkt_num)+SUM(c2s_byte_len)+SUM(s2c_byte_len)) count FROM traffic_http_statistic
WHERE web_id !=0 and stat_time >= DATE_SUB((SELECT MAX(stat_time) FROM traffic_http_statistic),INTERVAL 5 MINUTE)
GROUP BY web_id ORDER BY count DESC limit 0,10
</select> -->
<!-- 根据网站分组获取子域名 -->
<select id="getDomainByWebsiteServiceId" resultType="java.util.HashMap">
SELECT web_id webId,SUM(c2s_byte_len+s2c_byte_len) count
FROM traffic_http_statistic t
LEFT JOIN ui_website_domain_topic u ON t.web_id=u.id
where u.website_service_id=#{websiteServiceId}
and t.stat_time > DATE_SUB(#{statTime},INTERVAL 1 hour)
GROUP BY t.web_id ORDER BY count desc limit 0,10
</select>
<!-- 根据主题分组获取子域名 -->
<select id="getDomainByTopicId" resultType="java.util.HashMap">
SELECT web_id webId,SUM(c2s_byte_len+s2c_byte_len) count
FROM traffic_http_statistic t
LEFT JOIN ui_website_domain_topic u ON t.web_id=u.id
where u.topic_id=#{topicId}
and t.stat_time > DATE_SUB(#{statTime},INTERVAL 1 hour)
GROUP BY t.web_id ORDER BY count desc limit 0,10
</select>
<!--获取上个时间段该网站站域名流量的数据量 -->
<select id="preWebsiteListCount" resultType="java.lang.Long">
SELECT SUM(c2s_byte_len+s2c_byte_len) count FROM traffic_http_statistic t
LEFT JOIN ui_website_domain_topic u ON t.web_id = u.id
WHERE u.website_service_id=#{websiteServiceId}
and stat_time &lt; DATE_SUB(#{statTime},INTERVAL 1 hour)
and stat_time > DATE_SUB(#{statTime},INTERVAL 2 hour)
</select>
<!-- 指定网站下的TOP10之外为others -->
<select id="websiteDomainOthers" resultType="java.util.HashMap">
SELECT SUM(c2s_byte_len+s2c_byte_len) count FROM traffic_http_statistic t
LEFT JOIN ui_website_domain_topic u ON t.web_id=u.id
where u.website_service_id=#{websiteServiceId}
<!--获取网站列表列表 -->
<!-- <select id="websiteList" resultMap="BaseResultMap"> SELECT web_id webId,
(SUM(c2s_pkt_num)+SUM(s2c_pkt_num)+SUM(c2s_byte_len)+SUM(s2c_byte_len)) count
FROM traffic_http_statistic WHERE web_id !=0 and stat_time >= DATE_SUB((SELECT
MAX(stat_time) FROM traffic_http_statistic),INTERVAL 5 MINUTE) GROUP BY web_id
ORDER BY count DESC limit 0,10 </select> -->
<!-- 根据网站分组获取子域名 -->
<select id="getDomainByWebsiteServiceId"
resultType="java.util.HashMap">
SELECT web_id webId,SUM(c2s_byte_len+s2c_byte_len) count
FROM traffic_http_statistic t
LEFT JOIN ui_website_domain_topic u ON t.web_id=u.id
where u.website_service_id=#{websiteServiceId}
and t.stat_time > DATE_SUB(#{statTime},INTERVAL 1 hour)
GROUP BY t.web_id ORDER BY count desc limit 0,10
</select>
<!-- 根据主题分组获取子域名 -->
<select id="getDomainByTopicId" resultType="java.util.HashMap">
select web_id webId,sum(c2s_byte_len + s2c_byte_len) count from
traffic_http_statistic t where
<![CDATA[ stat_time>= #{statTime} and stat_time< #{endTime} group by t.web_id ]]>
</select>
<!-- 指定网站下的TOP10之外为others -->
<select id="websiteDomainOthers" resultType="java.util.HashMap">
SELECT SUM(c2s_byte_len+s2c_byte_len) count FROM
traffic_http_statistic t
LEFT JOIN ui_website_domain_topic u ON t.web_id=u.id
where u.website_service_id=#{websiteServiceId}
<if test="webIdList!=null and webIdList.size()>0">
and t.web_id not in
<foreach collection="webIdList" item="singleType" index="index" open="(" close=")" separator=",">
#{singleType}
</foreach>
and t.web_id not in
<foreach collection="webIdList" item="singleType"
index="index" open="(" close=")" separator=",">
#{singleType}
</foreach>
</if>
and stat_time > DATE_SUB(#{statTime},INTERVAL 1 hour)
</select>
and stat_time > DATE_SUB(#{statTime},INTERVAL 1 hour)
</select>
</mapper>

2
src/main/java/com/nis/web/dao/dashboard/TrafficProtocolStatisticDao.xml
View File

@@ -17,7 +17,7 @@
</sql>
<!-- 获取最近时间 -->
<select id="getMaxStatTime" resultType="com.nis.domain.restful.dashboard.TrafficProtocolStatistic">
SELECT stat_time statTime FROM traffic_protocol_statistic WHERE order by stat_time desc limit 1
SELECT stat_time statTime FROM traffic_protocol_statistic order by stat_time desc limit 1
</select>
<select id="protocolChart" resultType="java.util.HashMap">
SELECT proto_type protoType, SUM(c2s_byte_len+s2c_byte_len) count FROM traffic_protocol_statistic WHERE

132
src/main/java/com/nis/web/service/BaseService.java
View File

@@ -1,6 +1,12 @@
package com.nis.web.service;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.Calendar;
import java.util.Date;
import java.util.List;
import java.util.Map;
import java.util.Set;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
@@ -12,89 +18,82 @@ import com.nis.util.StringUtils;
/**
* Service基类
*
* @author ThinkGem
* @version 2014-05-16
*/
public abstract class BaseService {
/**
* 日志对象
*/
protected Logger logger = LoggerFactory.getLogger(getClass());
/**
* 数据范围过滤
* @param user 当前用户对象，通过“entity.getCurrentUser()”获取
*
* @param user 当前用户对象，通过“entity.getCurrentUser()”获取
* @param officeAlias 机构表别名，多个用“,”逗号隔开。
* @param userAlias 用户表别名，多个用“,”逗号隔开，传递空，忽略此参数
* @param userAlias 用户表别名，多个用“,”逗号隔开，传递空，忽略此参数
* @return 标准连接条件对象
*/
public static String dataScopeFilter(SysUser user, String officeAlias, String userAlias) {
StringBuilder sqlString = new StringBuilder();
// 进行权限过滤，多个角色权限范围之间为或者关系。
List<Integer> dataScope = Lists.newArrayList();
if (StringUtils.isBlank(user.getLoginId())){
if (StringUtils.isBlank(user.getLoginId())) {
return "";
}
// 超级管理员，跳过权限过滤
if (user.isAdmin()){
if (user.isAdmin()) {
boolean isDataScopeAll = isContainsDataScopeAll(user.getUserRoleList());
for (SysRole r : user.getUserRoleList()) {
for (String oa : StringUtils.split(officeAlias, ",")){
if (!dataScope.contains(r.getDataScope()) && StringUtils.isNotBlank(oa)){
for (String oa : StringUtils.split(officeAlias, ",")) {
if (!dataScope.contains(r.getDataScope()) && StringUtils.isNotBlank(oa)) {
sqlString.append(createScopeSql(r.getDataScope(),oa,user));
sqlString.append(createScopeSql(r.getDataScope(), oa, user));
dataScope.add(r.getDataScope());
}
}
}
// 如果没有全部数据权限，并设置了用户别名，则当前权限为本人；如果未设置别名，当前无权限为已植入权限
if (!isDataScopeAll){
if (StringUtils.isNotBlank(userAlias)){
for (String ua : StringUtils.split(userAlias, ",")){
if (!isDataScopeAll) {
if (StringUtils.isNotBlank(userAlias)) {
for (String ua : StringUtils.split(userAlias, ",")) {
sqlString.append(" OR " + ua + ".id = '" + user.getId() + "'");
}
}else {
for (String oa : StringUtils.split(officeAlias, ",")){
//sqlString.append(" OR " + oa + ".id = " + user.getOffice().getId());
} else {
for (String oa : StringUtils.split(officeAlias, ",")) {
// sqlString.append(" OR " + oa + ".id = " + user.getOffice().getId());
sqlString.append(" OR " + oa + ".id IS NULL");
}
}
}else{
} else {
// 如果包含全部权限，则去掉之前添加的所有条件，并跳出循环。
sqlString = new StringBuilder();
}
}
if (StringUtils.isNotBlank(sqlString.toString())){
if (StringUtils.isNotBlank(sqlString.toString())) {
return " AND (" + sqlString.substring(4) + ")";
}
return "";
}
/**
* 测试数据是否包含全集
*
* @return
*/
private static boolean isContainsDataScopeAll(List<SysRole> roleList) {
boolean isDataScopeAll = false;
for(SysRole role : roleList) {
if(SysRole.DATA_SCOPE_ALL.equals(role.getDataScope())){
for (SysRole role : roleList) {
if (SysRole.DATA_SCOPE_ALL.equals(role.getDataScope())) {
isDataScopeAll = true;
break;
}
@@ -104,50 +103,85 @@ public abstract class BaseService {
}
/**
* 过滤机构信息
* @param dataScope 数据范围（1：所有数据；2：所在公司及以下数据；3：所在公司数据；4：所在部门及以下数据；5：所在部门数据；6：所在单位及以下数据；7：所在单位数据）
*
* @param dataScope 数据范围（1：所有数据；2：所在公司及以下数据；3：所在公司数据；4：所在部门及以下数据；5：所在部门数据；6：所在单位及以下数据；7：所在单位数据）
* @return
*/
private static String createScopeSql(int dataScope,String officeAlias,SysUser user) {
private static String createScopeSql(int dataScope, String officeAlias, SysUser user) {
StringBuilder scopeSql = new StringBuilder(1024);
if (SysRole.DATA_SCOPE_COMPANY_AND_CHILD.equals(dataScope)){
if (SysRole.DATA_SCOPE_COMPANY_AND_CHILD.equals(dataScope)) {
scopeSql.append(" OR " + officeAlias + ".id = " + user.getCompany().getId());
scopeSql.append(" OR " + officeAlias + ".parent_ids LIKE '" + user.getCompany().getParentIds() + user.getCompany().getId() + ",%'");
}
else if (SysRole.DATA_SCOPE_COMPANY.equals(dataScope)){
scopeSql.append(" OR " + officeAlias + ".parent_ids LIKE '" + user.getCompany().getParentIds()
+ user.getCompany().getId() + ",%'");
} else if (SysRole.DATA_SCOPE_COMPANY.equals(dataScope)) {
scopeSql.append(" OR " + officeAlias + ".id = " + user.getCompany().getId());
// 包括本公司下的部门 （type=1:公司；type=2：单位 3.部门）
scopeSql.append(" OR (" + officeAlias + ".parent_id = '" + user.getCompany().getId() + "' AND " + officeAlias + ".type>1)");
}
else if (SysRole.DATA_SCOPE_OFFICE_AND_CHILD.equals(dataScope)){
scopeSql.append(" OR (" + officeAlias + ".parent_id = '" + user.getCompany().getId() + "' AND "
+ officeAlias + ".type>1)");
} else if (SysRole.DATA_SCOPE_OFFICE_AND_CHILD.equals(dataScope)) {
scopeSql.append(" OR " + officeAlias + ".id = " + user.getOffice().getId());
scopeSql.append(" OR " + officeAlias + ".parent_ids LIKE '" + user.getOffice().getParentIds() + user.getOffice().getId() + ",%'");
}
else if (SysRole.DATA_SCOPE_OFFICE.equals(dataScope)){
scopeSql.append(" OR " + officeAlias + ".parent_ids LIKE '" + user.getOffice().getParentIds()
+ user.getOffice().getId() + ",%'");
} else if (SysRole.DATA_SCOPE_OFFICE.equals(dataScope)) {
scopeSql.append(" OR " + officeAlias + ".id = " + user.getOffice().getId());
}
else if (SysRole.DATA_SCOPE_ENTITY_AND_CHILD.equals(dataScope)){
} else if (SysRole.DATA_SCOPE_ENTITY_AND_CHILD.equals(dataScope)) {
scopeSql.append(" OR " + officeAlias + ".id = " + user.getEntity().getId());
scopeSql.append(" OR " + officeAlias + ".parent_ids LIKE '" + user.getEntity().getParentIds() + user.getEntity().getId() + ",%'");
scopeSql.append(" OR " + officeAlias + ".parent_ids LIKE '" + user.getEntity().getParentIds()
+ user.getEntity().getId() + ",%'");
} else if (SysRole.DATA_SCOPE_ENTITY.equals(dataScope)){
} else if (SysRole.DATA_SCOPE_ENTITY.equals(dataScope)) {
scopeSql.append(" OR " + officeAlias + ".id = " + user.getEntity().getId());
// 包括本公司下的部门 （type=1:公司；type=2：单位 3.部门）
scopeSql.append(" OR (" + officeAlias + ".parent_id = '" + user.getEntity().getId() + "' AND " + officeAlias + ".type>1)");
scopeSql.append(" OR (" + officeAlias + ".parent_id = '" + user.getEntity().getId() + "' AND " + officeAlias
+ ".type>1)");
}
return scopeSql.toString();
}
/**
* 获取前几个小时的数据
*
* @param ihour
* @return
*/
protected Date getBeforeByHourTime(int ihour) {
Calendar calendar = Calendar.getInstance();
calendar.set(Calendar.HOUR_OF_DAY, calendar.get(Calendar.HOUR_OF_DAY) - ihour);
return calendar.getTime();
}
/**
* 根据count降序排列获取top10的count对应的view
*
* @param set 所有的count
* @param countAndViewMap key是count,val是viewmap
*/
protected List<Map> getTop10Data(Set<Long> set, Map<Long, List<Map>> countAndViewMap) {
List<Map> topicList = new ArrayList<Map>();
Long[] countArr = new Long[set.size()];
set.toArray(countArr);
Arrays.sort(countArr);
for (int i = countArr.length - 1; i >= 0; i--) {
List<Map> list = countAndViewMap.get(countArr[i]);
boolean exit = false;
for (Map map : list) {
topicList.add(map);
if (topicList.size() == 10) {
exit = true;
break;
}
}
if (exit) {
break;
}
}
return topicList;
}
}

480
src/main/java/com/nis/web/service/restful/DashboardService.java
View File

@@ -10,10 +10,11 @@ import com.zdjizhi.utils.StringUtil;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;
import java.text.SimpleDateFormat;
import java.util.*;
@Service
public class DashboardService extends BaseService{
public class DashboardService extends BaseService {
@Autowired
public TrafficIpActiveStatisticDao trafficIpActiveStatisticDao;
@@ -31,27 +32,26 @@ public class DashboardService extends BaseService{
public TrafficPortActiveStatisticDao trafficPortActiveStatisticDao;
/**
* 流量统计 数据显示
* info：先查询最近时间，根据时间条件查询数据 效率提高
* 流量统计 数据显示 info：先查询最近时间，根据时间条件查询数据 效率提高
*/
public List<Map> getTotalReportList(){
List<Map> totalReportList =new ArrayList<Map>();
public List<Map> getTotalReportList() {
List<Map> totalReportList = new ArrayList<Map>();
List<Map> newData = new ArrayList<Map>();
// 流量统计阻断丢弃回流等数据显示最近时间
NtcTotalReport maxReportTime = ntcTotalReportDao.getMaxReportTime();
if(maxReportTime!=null&&maxReportTime.getReportTime()!=null) {
if (maxReportTime != null && maxReportTime.getReportTime() != null) {
Date reportTime = maxReportTime.getReportTime();
totalReportList = ntcTotalReportDao.getTotalReportList(reportTime);// 返回阻断，监测等結果
}
Map maxRecvtTime = ntcTotalReportDao.getMaxStatTime();
if(maxRecvtTime!=null && maxRecvtTime.get("statTime")!=null) {
if (maxRecvtTime != null && maxRecvtTime.get("statTime") != null) {
Date recvTime = (Date) maxRecvtTime.get("statTime");
newData = ntcTotalReportDao.getNetFlowPortInfoNew(recvTime);
}
// 统计带宽的流入流出 单位 五分钟 的 byte
if(StringUtil.isNotEmpty(newData)){
Double inoctets = Double.parseDouble(newData.get(0).get("inoctets").toString()) ;
Double outoctets = Double.parseDouble(newData.get(0).get("outoctets").toString()) ;
if (StringUtil.isNotEmpty(newData)) {
Double inoctets = Double.parseDouble(newData.get(0).get("inoctets").toString());
Double outoctets = Double.parseDouble(newData.get(0).get("outoctets").toString());
if (StringUtil.isEmpty(totalReportList)) {
Map valueMap = Maps.newHashMap();
@@ -65,82 +65,84 @@ public class DashboardService extends BaseService{
}
return totalReportList;
}
/**
* 根据ip46,协议tcp，udp查询带宽
*
* @param addrType
* @param transType
* @return
*/
public List<HashMap> getBandwidthTrans(String addrType,Integer transType) {
ArrayList<HashMap> listMap=new ArrayList<HashMap>();
public List<HashMap> getBandwidthTrans(String addrType, Integer transType) {
ArrayList<HashMap> listMap = new ArrayList<HashMap>();
List<TrafficTransStatistic> bandwidthList = new ArrayList<TrafficTransStatistic>();
Map maxStatTime = ntcTotalReportDao.getMaxStatTime();
if(maxStatTime!=null && maxStatTime.get("statTime")!=null) {
if (maxStatTime != null && maxStatTime.get("statTime") != null) {
Date stat = (Date) maxStatTime.get("statTime");
HashMap m = new HashMap();
bandwidthList=ntcTotalReportDao.getBandwidthTrans(stat, addrType, transType);
bandwidthList = ntcTotalReportDao.getBandwidthTrans(stat, addrType, transType);
List timeList = new ArrayList();
List linkList = new ArrayList();
List gbpsList = new ArrayList();
List ppsList = new ArrayList();
if(bandwidthList!=null&&bandwidthList.size()>0) {
if (bandwidthList != null && bandwidthList.size() > 0) {
for (TrafficTransStatistic tt : bandwidthList) {
if(tt.getTime()!=null) {
if (tt.getTime() != null) {
timeList.add(tt.getTime());
if(tt.getLinkNum()!=null) {
if (tt.getLinkNum() != null) {
linkList.add(tt.getLinkNum());
}
if(tt.getPps()!=null) {
if (tt.getPps() != null) {
ppsList.add(tt.getPps());
}
if(tt.getGbps()!=null) {
if (tt.getGbps() != null) {
gbpsList.add(tt.getGbps());
}
}
}
}
m.put("linkNum",linkList);
m.put("gbps",gbpsList);
m.put("pps",ppsList);
m.put("statTime",timeList);
m.put("linkNum", linkList);
m.put("gbps", gbpsList);
m.put("pps", ppsList);
m.put("statTime", timeList);
listMap.add(m);
}
return listMap;
}
/**
* 根据service 动作查询近五分钟变化趋势
* entrance 默认为1,2
* 根据service 动作查询近五分钟变化趋势 entrance 默认为1,2
*/
public List<HashMap> getActionTrans(String serviceType) {
String sql ="";
String sqlBlock="((service>=16 and service<=40) or (service>=258 and service<=273) or (service=576))"; //阻断
String sqlMonitor="((service>=128 and service<=152) or (service>=384 and service<=513) or (service=592) or (service>=848 and service<=1030) or (service=1152))"; //监测
String sql = "";
String sqlBlock = "((service>=16 and service<=40) or (service>=258 and service<=273) or (service=576))"; // 阻断
String sqlMonitor = "((service>=128 and service<=152) or (service>=384 and service<=513) or (service=592) or (service>=848 and service<=1030) or (service=1152))"; // 监测
// 区分动作
if(StringUtils.isNotBlank(serviceType)) {
if(serviceType.equalsIgnoreCase("block")) {
sql=sqlBlock;
if (StringUtils.isNotBlank(serviceType)) {
if (serviceType.equalsIgnoreCase("block")) {
sql = sqlBlock;
}
if(serviceType.equalsIgnoreCase("monitor")) {
sql=sqlMonitor;
if (serviceType.equalsIgnoreCase("monitor")) {
sql = sqlMonitor;
}
}
ArrayList<HashMap> listMap=new ArrayList<HashMap>();
ArrayList<HashMap> listMap = new ArrayList<HashMap>();
List<NtcEntranceReport> entrance1 = new ArrayList<NtcEntranceReport>();
List<NtcEntranceReport> entrance2 = new ArrayList<NtcEntranceReport>();
Map maxReportTime = ntcTotalReportDao.getEntranceMaxReportTime();
if(maxReportTime!=null && maxReportTime.get("reportTime")!=null) {
if (maxReportTime != null && maxReportTime.get("reportTime") != null) {
Date reportTime = (Date) maxReportTime.get("reportTime");
HashMap m1 = new HashMap();
HashMap m2 = new HashMap();
entrance1=ntcTotalReportDao.getActionTrans(reportTime, 1, sql);
entrance2=ntcTotalReportDao.getActionTrans(reportTime, 2, sql);
entrance1 = ntcTotalReportDao.getActionTrans(reportTime, 1, sql);
entrance2 = ntcTotalReportDao.getActionTrans(reportTime, 2, sql);
List timeList = new ArrayList();
List sumList1 = new ArrayList();
List sumList2 = new ArrayList();
// entrance 为1的趋势
if(entrance1!=null&&entrance1.size()>0) {
if (entrance1 != null && entrance1.size() > 0) {
for (NtcEntranceReport tt : entrance1) {
if(tt.getTime()!=null&&tt.getSum()!=null) {
if (tt.getTime() != null && tt.getSum() != null) {
timeList.add(tt.getTime());
sumList1.add(tt.getSum());
@@ -148,20 +150,20 @@ public class DashboardService extends BaseService{
}
}
// entrance 为2的趋势
if(entrance2!=null&&entrance2.size()>0) {
if (entrance2 != null && entrance2.size() > 0) {
for (NtcEntranceReport tt : entrance2) {
if(tt.getTime()!=null&&tt.getSum()!=null) {
if (tt.getTime() != null && tt.getSum() != null) {
// timeList.add(tt.getTime());
sumList2.add(tt.getSum());
}
}
}
m1.put("count",sumList1);//[{time:[],link:[],link2:[]}]
m1.put("statTime",timeList);
m1.put("entranceId",1);
m2.put("count",sumList2);//[{link1:[],time:[],entrance:"1"},]
m2.put("statTime",timeList);
m2.put("entranceId",2);
m1.put("count", sumList1);// [{time:[],link:[],link2:[]}]
m1.put("statTime", timeList);
m1.put("entranceId", 1);
m2.put("count", sumList2);// [{link1:[],time:[],entrance:"1"},]
m2.put("statTime", timeList);
m2.put("entranceId", 2);
listMap.add(m1);
listMap.add(m2);
}
@@ -170,26 +172,28 @@ public class DashboardService extends BaseService{
/**
* 最近活跃端口时间五分钟数据
*
* @return List
*/
public List<Map> getPortActiveList(){
public List<Map> getPortActiveList() {
List<Map> list = new ArrayList<Map>();
TrafficPortActiveStatistic maxStatTime = trafficPortActiveStatisticDao.getMaxStatTime();
if(maxStatTime!=null&&maxStatTime.getStatTime()!=null) {
if (maxStatTime != null && maxStatTime.getStatTime() != null) {
Date statTime = maxStatTime.getStatTime();
List<TrafficPortActiveStatistic> portActiveList = trafficPortActiveStatisticDao.getPortActiveList(statTime);
//上个时间五分钟数据
if(portActiveList!=null&&portActiveList.size()>0) {
// 上个时间五分钟数据
if (portActiveList != null && portActiveList.size() > 0) {
for (TrafficPortActiveStatistic port : portActiveList) {
if(port.getPort()!=null) {
if (port.getPort() != null) {
Map map = new HashMap();
map.put("port", port.getPort());
map.put("sum", port.getSum());
TrafficPortActiveStatistic portActiveOld = trafficPortActiveStatisticDao.getPortActiveOld(port.getPort(),statTime);
if(portActiveOld!=null&&portActiveOld.getSum()!=null){
map.put("preSum",portActiveOld.getSum());
}else{
map.put("preSum",0);
TrafficPortActiveStatistic portActiveOld = trafficPortActiveStatisticDao
.getPortActiveOld(port.getPort(), statTime);
if (portActiveOld != null && portActiveOld.getSum() != null) {
map.put("preSum", portActiveOld.getSum());
} else {
map.put("preSum", 0);
}
list.add(map);
}
@@ -199,38 +203,39 @@ public class DashboardService extends BaseService{
return list;
}
/**
* 活跃IP最近五分钟数据TOP10
*
* @return
*/
public List<HashMap> ipActiveFiveMinute(){
public List<HashMap> ipActiveFiveMinute() {
TrafficIpActiveStatistic maxStatTime = trafficIpActiveStatisticDao.getMaxStatTime();
ArrayList<HashMap> listMap=new ArrayList<HashMap>();
if(maxStatTime!=null&&maxStatTime.getStatTime()!=null) {
ArrayList<HashMap> listMap = new ArrayList<HashMap>();
if (maxStatTime != null && maxStatTime.getStatTime() != null) {
Date statTime = maxStatTime.getStatTime();
// 查询最近五分钟TOP10
ArrayList<LinkedHashMap> list = trafficIpActiveStatisticDao.ipActiveChart(statTime);
if(list!=null&&list.size()>0) {
if (list != null && list.size() > 0) {
for (LinkedHashMap map : list) {
HashMap m = new HashMap();
if(map.get("ipAddr")!=null) {
if (map.get("ipAddr") != null) {
String ipAddr = (String) map.get("ipAddr");
m.put("ipAddr", ipAddr);
// 根据五分钟TOP10IP，查询TOP10中每个IP最近一小时的变化
ArrayList<TrafficIpActiveStatistic> ipList = trafficIpActiveStatisticDao.ipActiveFiveMinute(ipAddr,statTime);
ArrayList<TrafficIpActiveStatistic> ipList = trafficIpActiveStatisticDao
.ipActiveFiveMinute(ipAddr, statTime);
List linkList = new ArrayList();
List timeList = new ArrayList();
if(ipList!=null&&ipList.size()>0) {
if (ipList != null && ipList.size() > 0) {
for (TrafficIpActiveStatistic ip : ipList) {
if(ip.getLinkNum()!=null&&ip.getTime()!=null) {
if (ip.getLinkNum() != null && ip.getTime() != null) {
linkList.add(ip.getLinkNum());
timeList.add(ip.getTime());
}
}
}
m.put("linkNum",linkList);
m.put("statTime",timeList);
m.put("linkNum", linkList);
m.put("statTime", timeList);
listMap.add(m);
}
}
@@ -239,21 +244,23 @@ public class DashboardService extends BaseService{
return listMap;
}
/**
* 根据活跃IP最近五分钟TOP10，查询近1小时最大值
*
* @return
*/
public List<HashMap> ipActiveOneHour(){
public List<HashMap> ipActiveOneHour() {
TrafficIpActiveStatistic maxStatTime = trafficIpActiveStatisticDao.getMaxStatTime();
ArrayList<HashMap> listMap=new ArrayList<HashMap>();
if(maxStatTime!=null&&maxStatTime.getStatTime()!=null) {
ArrayList<HashMap> listMap = new ArrayList<HashMap>();
if (maxStatTime != null && maxStatTime.getStatTime() != null) {
Date statTime = maxStatTime.getStatTime();
ArrayList<LinkedHashMap> list = trafficIpActiveStatisticDao.ipActiveChart(statTime);
if(list!=null&&list.size()>0) {
if (list != null && list.size() > 0) {
for (LinkedHashMap map : list) {
if(map.get("ipAddr")!=null) {
if (map.get("ipAddr") != null) {
String ipAddr = (String) map.get("ipAddr");
ArrayList<HashMap> iplList = trafficIpActiveStatisticDao.ipActiveOneHour(ipAddr,statTime);
ArrayList<HashMap> iplList = trafficIpActiveStatisticDao.ipActiveOneHour(ipAddr, statTime);
listMap.add(iplList.get(0));
}
}
@@ -262,19 +269,20 @@ public class DashboardService extends BaseService{
return listMap;
}
@SuppressWarnings("rawtypes")
public List<LinkedHashMap> ipActiveChart(){
public List<LinkedHashMap> ipActiveChart() {
TrafficIpActiveStatistic maxStatTime = trafficIpActiveStatisticDao.getMaxStatTime();
ArrayList<LinkedHashMap> list = new ArrayList<>();
if(maxStatTime!=null&&maxStatTime.getStatTime()!=null) {
if (maxStatTime != null && maxStatTime.getStatTime() != null) {
Date statTime = maxStatTime.getStatTime();
list = trafficIpActiveStatisticDao.ipActiveChart(statTime);
if(list!=null&&list.size()>0) {
if (list != null && list.size() > 0) {
for (LinkedHashMap map : list) {
if(map.get("ipAddr")!=null) {
if (map.get("ipAddr") != null) {
Map m = new LinkedHashMap();
map.put("pktNum",0);
map.put("byteLen",0);
map.put("pktNum", 0);
map.put("byteLen", 0);
}
}
}
@@ -284,19 +292,20 @@ public class DashboardService extends BaseService{
/**
* 协议统计
*
* @return
*/
public List<Map> protocolChart() {
TrafficProtocolStatistic maxStatTime = trafficProtocolStatisticDao.getMaxStatTime();
List<Map> list=new ArrayList<Map>();
if(maxStatTime!=null&&maxStatTime.getStatTime()!=null) {
List<Map> list = new ArrayList<Map>();
if (maxStatTime != null && maxStatTime.getStatTime() != null) {
Date statTime = maxStatTime.getStatTime();
list = trafficProtocolStatisticDao.protocolChart(statTime);
//当不查询包，字节时 设为0
if(list!=null&&list.size()>0) {
// 当不查询包，字节时 设为0
if (list != null && list.size() > 0) {
Map map = new HashMap();
map.put("pktNum",0);
map.put("byteLen",0);
map.put("pktNum", 0);
map.put("byteLen", 0);
}
}
return list;
@@ -304,97 +313,103 @@ public class DashboardService extends BaseService{
/**
* 协议统计报表
*
* @return
*/
public List<Map> getProtocolList(String startTime,String endTime){
public List<Map> getProtocolList(String startTime, String endTime) {
TrafficProtocolStatistic maxStatTime = trafficProtocolStatisticDao.getMaxStatTime();
List<Map> list=new ArrayList<Map>();
if(maxStatTime!=null&&maxStatTime.getStatTime()!=null) {
List<Map> list = new ArrayList<Map>();
if (maxStatTime != null && maxStatTime.getStatTime() != null) {
Date statTime = maxStatTime.getStatTime();
list = trafficProtocolStatisticDao.getProtocolList(statTime,startTime,endTime);
list = trafficProtocolStatisticDao.getProtocolList(statTime, startTime, endTime);
}
return list;
}
/**
* app应用top10 图
*
* @return
*/
public List<Map> appChart() {
List<Map> list=new ArrayList<Map>();
List<Map> list = new ArrayList<Map>();
TrafficAppStatistic maxStatTime = trafficAppStatisticDao.getMaxStatTime();
if(maxStatTime!=null&&maxStatTime.getStatTime()!=null) {
if (maxStatTime != null && maxStatTime.getStatTime() != null) {
Date statTime = maxStatTime.getStatTime();
list = trafficAppStatisticDao.appChart(statTime);
//当不查询包，字节时 设为0
if(list!=null&&list.size()>0) {
// 当不查询包，字节时 设为0
if (list != null && list.size() > 0) {
Map map = new HashMap();
map.put("pktNum",0);
map.put("byteLen",0);
map.put("pktNum", 0);
map.put("byteLen", 0);
}
}
return list;
}
/**
* App统计报表
*
* @return
*/
public List<Map> getAppList(String startTime,String endTime){
public List<Map> getAppList(String startTime, String endTime) {
TrafficAppStatistic maxStatTime = trafficAppStatisticDao.getMaxStatTime();
List<Map> list=new ArrayList<Map>();
if(maxStatTime!=null&&maxStatTime.getStatTime()!=null) {
List<Map> list = new ArrayList<Map>();
if (maxStatTime != null && maxStatTime.getStatTime() != null) {
Date statTime = maxStatTime.getStatTime();
list = trafficAppStatisticDao.getAppList(statTime,startTime,endTime);
list = trafficAppStatisticDao.getAppList(statTime, startTime, endTime);
}
return list;
}
// 操作系统列表 排名TOP10
@SuppressWarnings({ "unchecked", "rawtypes" })
public List<Map> systemList(){
public List<Map> systemList() {
List<Map> result = new ArrayList<Map>();
TrafficUaStatistic maxStatTime = trafficUaStatisticDao.getMaxStatTime();
if(maxStatTime!=null) {
Date statTime = maxStatTime.getStatTime();
List<TrafficUaStatistic> list = trafficUaStatisticDao.systemList(statTime);
Long preCount=0l;
for (TrafficUaStatistic ua : list) {
Map map = new HashMap();
map.put("osType",ua.getOsType());
map.put("count",ua.getCount());
map.put("pktNum",0);
map.put("byteLen",0);
preCount = trafficUaStatisticDao.preSystemListCount(ua.getOsType(),statTime);//上个时段的量 用于与现在对比
if(preCount!=null){
map.put("preCount",preCount);
}else{
map.put("preCount",0);
}
result.add(map);
if (maxStatTime != null) {
Date statTime = maxStatTime.getStatTime();
List<TrafficUaStatistic> list = trafficUaStatisticDao.systemList(statTime);
Long preCount = 0l;
for (TrafficUaStatistic ua : list) {
Map map = new HashMap();
map.put("osType", ua.getOsType());
map.put("count", ua.getCount());
map.put("pktNum", 0);
map.put("byteLen", 0);
preCount = trafficUaStatisticDao.preSystemListCount(ua.getOsType(), statTime);// 上个时段的量 用于与现在对比
if (preCount != null) {
map.put("preCount", preCount);
} else {
map.put("preCount", 0);
}
result.add(map);
}
}
return result;
}
public List<Map> getBrowserBySystem(Integer osType ){
public List<Map> getBrowserBySystem(Integer osType) {
List<Map> list = new ArrayList<Map>();
TrafficUaStatistic maxStatTime = trafficUaStatisticDao.getMaxStatTime();
if(maxStatTime!=null) {
Date statTime = maxStatTime.getStatTime();
list = trafficUaStatisticDao.getBrowserBySystem(osType,statTime);
List bsType = new ArrayList();
//查新固定操系统下的除了TOP10以外的others
if(list!=null&& list.size()>0){
for (Map map : list) {
bsType.add(map.get("bsType"));
}
if(list.size()>10) {
Map others = new HashMap();
others = trafficUaStatisticDao.systemOthers(bsType,osType,statTime);
if(others!=null&&others.size()>0){
others.put("bsType", "-1");
list.add(others);
}
if (maxStatTime != null) {
Date statTime = maxStatTime.getStatTime();
list = trafficUaStatisticDao.getBrowserBySystem(osType, statTime);
List bsType = new ArrayList();
// 查新固定操系统下的除了TOP10以外的others
if (list != null && list.size() > 0) {
for (Map map : list) {
bsType.add(map.get("bsType"));
}
if (list.size() > 10) {
Map others = new HashMap();
others = trafficUaStatisticDao.systemOthers(bsType, osType, statTime);
if (others != null && others.size() > 0) {
others.put("bsType", "-1");
list.add(others);
}
}
}
}
return list;
}
@@ -402,45 +417,46 @@ public class DashboardService extends BaseService{
public List<Map> browserList() {
List<Map> result = new ArrayList<Map>();
TrafficUaStatistic maxStatTime = trafficUaStatisticDao.getMaxStatTime();
if(maxStatTime!=null) {
if (maxStatTime != null) {
Date statTime = maxStatTime.getStatTime();
List<TrafficUaStatistic> list = trafficUaStatisticDao.browserList(statTime);
Long preCount=0l;
if(list!=null&&list.size()>0){
for (TrafficUaStatistic ua : list) {
Map map = new HashMap();
map.put("bsType",ua.getBsType());
map.put("count",ua.getCount());
map.put("pktNum",0);
map.put("byteLen",0);
preCount = trafficUaStatisticDao.preBrowserListCount(ua.getBsType(),statTime);//上个时段的量 用于与现在对比
if(preCount!=null){
map.put("preCount",preCount);
}else{
map.put("preCount",0);
}
result.add(map);
Long preCount = 0l;
if (list != null && list.size() > 0) {
for (TrafficUaStatistic ua : list) {
Map map = new HashMap();
map.put("bsType", ua.getBsType());
map.put("count", ua.getCount());
map.put("pktNum", 0);
map.put("byteLen", 0);
preCount = trafficUaStatisticDao.preBrowserListCount(ua.getBsType(), statTime);// 上个时段的量 用于与现在对比
if (preCount != null) {
map.put("preCount", preCount);
} else {
map.put("preCount", 0);
}
result.add(map);
}
}
}
return result;
}
public List<Map> getSystemBybrowser(Integer bsType ){
public List<Map> getSystemBybrowser(Integer bsType) {
List<Map> list = new ArrayList<Map>();
TrafficUaStatistic maxStatTime = trafficUaStatisticDao.getMaxStatTime();
if(maxStatTime!=null) {
if (maxStatTime != null) {
Date statTime = maxStatTime.getStatTime();
list = trafficUaStatisticDao.getSystemBybrowser(bsType,statTime);
list = trafficUaStatisticDao.getSystemBybrowser(bsType, statTime);
List osType = new ArrayList();
//查询固定操系统下的除了TOP10以外的others
if(list!=null&& list.size()>0){
// 查询固定操系统下的除了TOP10以外的others
if (list != null && list.size() > 0) {
for (Map map : list) {
osType.add(map.get("osType"));
}
if(list.size()>10) {
if (list.size() > 10) {
Map others = new HashMap();
others = trafficUaStatisticDao.browserOthers(osType,bsType,statTime);
if(others!=null&&others.size()>0){
others = trafficUaStatisticDao.browserOthers(osType, bsType, statTime);
if (others != null && others.size() > 0) {
others.put("osType", "-1");
list.add(others);
}
@@ -449,24 +465,26 @@ public class DashboardService extends BaseService{
}
return list;
}
public List<Map> websiteList() {
List<Map> result = new ArrayList<Map>();
TrafficHttpStatistic maxStatTime = trafficHttpStatisticDao.getMaxStatTime();
if(maxStatTime!=null) {
if (maxStatTime != null) {
List<TrafficHttpStatistic> list = trafficHttpStatisticDao.websiteList(maxStatTime.getStatTime());
Long preCount=0l;
if(list!=null&&list.size()>0){
Long preCount = 0l;
if (list != null && list.size() > 0) {
for (TrafficHttpStatistic website : list) {
Map map = new HashMap();
map.put("webId",website.getWebId());
map.put("count",website.getCount());
map.put("pktNum",0);
map.put("byteLen",0);
preCount = trafficHttpStatisticDao.preWebsiteListCount(website.getWebId(),maxStatTime.getStatTime());//上个时段的量 用于与现在对比
if(preCount!=null){
map.put("preCount",preCount);
}else{
map.put("preCount",0);
map.put("webId", website.getWebId());
map.put("count", website.getCount());
map.put("pktNum", 0);
map.put("byteLen", 0);
preCount = trafficHttpStatisticDao.preWebsiteListCount(website.getWebId(),
maxStatTime.getStatTime());// 上个时段的量 用于与现在对比
if (preCount != null) {
map.put("preCount", preCount);
} else {
map.put("preCount", 0);
}
result.add(map);
}
@@ -474,27 +492,29 @@ public class DashboardService extends BaseService{
}
return result;
}
/**
* 根据网站服务查询子域名
*
* @param websiteServiceId
* @return list
*/
public List<Map> getDomainByWebsiteServiceId(Integer websiteServiceId ){
public List<Map> getDomainByWebsiteServiceId(Integer websiteServiceId) {
List<Map> list = new ArrayList<Map>();
TrafficHttpStatistic maxStatTime = trafficHttpStatisticDao.getMaxStatTime();
if(maxStatTime!=null) {
if (maxStatTime != null) {
Date statTime = maxStatTime.getStatTime();
list = trafficHttpStatisticDao.getDomainByWebsiteServiceId(websiteServiceId,statTime);
list = trafficHttpStatisticDao.getDomainByWebsiteServiceId(websiteServiceId, statTime);
List webIdList = new ArrayList();
//查询固定网站下的域名除了TOP10以外的others域名
if(list!=null&& list.size()>0){
// 查询固定网站下的域名除了TOP10以外的others域名
if (list != null && list.size() > 0) {
for (Map map : list) {
webIdList.add(map.get("webId"));
}
if(list.size()>10) {
if (list.size() > 10) {
Map others = new HashMap();
others = trafficHttpStatisticDao.websiteDomainOthers(webIdList,websiteServiceId,statTime);
if(others!=null&&others.size()>0){
others = trafficHttpStatisticDao.websiteDomainOthers(webIdList, websiteServiceId, statTime);
if (others != null && others.size() > 0) {
others.put("webId", "-1");
list.add(others);
}
@@ -505,29 +525,31 @@ public class DashboardService extends BaseService{
}
/**
获取网站列表
* 获取网站列表
*
* @return
*/
@SuppressWarnings("unchecked")
public List<Map> getDomainByWebsiteList(){
public List<Map> getDomainByWebsiteList() {
List<Map> result = new ArrayList<Map>();
TrafficHttpStatistic maxStatTime = trafficHttpStatisticDao.getMaxStatTime();
if(maxStatTime!=null) {
if (maxStatTime != null) {
Date statTime = maxStatTime.getStatTime();
List<TrafficHttpStatistic> websiteList = trafficHttpStatisticDao.getDomainByWebsiteList(statTime);
if(websiteList!=null&&websiteList.size()>0){
Long preCount=0l;
if (websiteList != null && websiteList.size() > 0) {
Long preCount = 0l;
for (TrafficHttpStatistic website : websiteList) {
Map map = new HashMap();
map.put("websiteServiceId",website.getWesiteServiceId());
map.put("count",website.getCount());
map.put("pktNum",0);
map.put("byteLen",0);
preCount = trafficHttpStatisticDao.preWebsiteListCount(website.getWesiteServiceId(),statTime);//上个时段的量 用于与现在对比
if(preCount!=null){
map.put("preCount",preCount);
}else{
map.put("preCount",0);
map.put("websiteServiceId", website.getWesiteServiceId());
map.put("count", website.getCount());
map.put("pktNum", 0);
map.put("byteLen", 0);
preCount = trafficHttpStatisticDao.preWebsiteListCount(website.getWesiteServiceId(), statTime);// 上个时段的量
// 用于与现在对比
if (preCount != null) {
map.put("preCount", preCount);
} else {
map.put("preCount", 0);
}
result.add(map);
}
@@ -535,27 +557,65 @@ public class DashboardService extends BaseService{
}
return result;
}
/**
*主题网站分类，域名
* 主题网站分类，域名
*
* **/
public List<Map> getTopicAndDomainList(){
List<Map> topicList = new ArrayList<Map>();
TrafficHttpStatistic maxStatTime = trafficHttpStatisticDao.getMaxStatTime();
if(maxStatTime!=null) {
Date statTime = maxStatTime.getStatTime();
//按照主题分类 获得主题
topicList = trafficHttpStatisticDao.getDomainByTopicList(statTime);
if(topicList!=null&&topicList.size()>0){
for (Map m : topicList) {
List<Map> domainList= new ArrayList<Map>();
if(m!=null&&m.get("topicId")!=null){
domainList = trafficHttpStatisticDao.getDomainByTopicId(m.get("topicId"),statTime);
m.put("domainData", domainList);
}
**/
public List<Map> getTopicAndDomainList() {
Date startTime = getBeforeByHourTime(1);// 获取上一个小时
Map<String, List<String>> topicIdAndIdMap = new HashMap<>();// 存储topicid和id的对应关系,一个topicid有多个id
List<Map> topicIdAndIdList = trafficHttpStatisticDao.getDomainByTopicList(startTime, new Date());// 获取最近一个小时topicId和id的对应关系,group
for (Map map : topicIdAndIdList) {
Object topicIdObj = map.get("topicId");
Object idObj = map.get("id");
if (topicIdObj != null && idObj != null) {
if (topicIdAndIdMap.containsKey(String.valueOf(topicIdObj))) {
topicIdAndIdMap.get(String.valueOf(topicIdObj)).add(String.valueOf(idObj));
} else {
List<String> list = new ArrayList<>();
list.add(String.valueOf(idObj));
topicIdAndIdMap.put(String.valueOf(topicIdObj), list);
}
}
}
return topicList;
Set<Long> set = new HashSet<>();
Map<Long, List<Map>> countAndViewMap = new HashMap<>();// 存储count和map的对应关系,后面根据count过滤,获取top10的count
List<Map> webIdAndCountList = trafficHttpStatisticDao.getDomainByTopicId(startTime, new Date());// 获取最近一小时的webid和count的关系
for (String topicId : topicIdAndIdMap.keySet()) {// 遍历上面获取的topicid和id的对应关系,拼接json
Map viewMap = new HashMap<>();
viewMap.put("topicId", topicId);
List<Map> list = new ArrayList<>();
long count = 0l;// 记录当前topicid所有的count
List<String> idList = topicIdAndIdMap.get(topicId);// 根据topicid获取对应的id
for (String id : idList) {
for (Map webIdAndCountMap : webIdAndCountList) {// 遍历webid和count
String webId = String.valueOf(webIdAndCountMap.get("webId"));
if (webId != null && webId.equals(id)) {// 如果webid和id相等则获取count数据并统计
String countStr = String.valueOf(webIdAndCountMap.get("count"));
if (countStr != null) {
count += Long.parseLong(countStr);// 将count累加
list.add(webIdAndCountMap);
}
}
}
}
viewMap.put("count", count);
viewMap.put("domainData", list);
if (countAndViewMap.containsKey(count)) {// 将每个count和对应的viewmap放到map中,count可能相同所以value是list
countAndViewMap.get(count).add(viewMap);
} else {
List<Map> listMap = new ArrayList<>();
listMap.add(viewMap);
countAndViewMap.put(count, listMap);
}
set.add(count);
}
return getTop10Data(set, countAndViewMap);
}
}