<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE mapper PUBLIC "http://mybatis.org/dtd/mybatis-3-mapper.dtd" "mybatis-3-mapper.dtd" >
<mapper namespace="com.reyun.saas.report.data.dao.DataInfoDayMapper">
<sql id="relativeWhereSql">
and os = #{data.os}
and appkey in (${data.appkeys})
<if test="params.device_status!=null">
and device_status = #{params.device_status}
</if>
<if test="params.appIsUpdate!=null">
and appIsUpdate = #{params.appIsUpdate}
</if>
<if test="params.quantity!=null">
and quantity = #{params.quantity}
</if>
</sql>
<select id="relative" resultType="int">
select COALESCE(sum(distinct_count_num),0) from
(
<if test="data.dateType==1 or data.dateType==3 ">
select
distinct_count_num
from `yy-flink`.data_info_day
where ds >= #{data.startDateStream} and ds <= #{data.endDateStream}
<include refid="relativeWhereSql"/>
</if>
<if test="data.dateType==3 ">
union all
</if>
<if test="data.dateType==2 or data.dateType==3 ">
select
distinct_count_num
from `yy_etl`.data_info_day
where ds >= #{data.startDateOffLine} and ds <= #{data.endDateOffLine}
<include refid="relativeWhereSql"/>
</if>
) t
</select>
<!--dau_info_day的dau潜在风险=总潜在风险-->
<select id="relativeNew" resultType="int">
select COALESCE(sum(distinct_count_num),0) from
(
<if test="data.dateType==1 or data.dateType==3 ">
select
distinct_count_num
from `yy-flink`.dau_info_day
where ds >= #{data.startDateStream} and ds <= #{data.endDateStream}
and os = #{data.os}
and appkey in (${data.appkeys})
and quantity = '5'
</if>
<if test="data.dateType==3 ">
union all
</if>
<if test="data.dateType==2 or data.dateType==3 ">
select
distinct_count_num
from `yy_etl`.dau_info_day
where ds >= #{data.startDateOffLine} and ds <= #{data.endDateOffLine}
and os = #{data.os}
and appkey in (${data.appkeys})
and quantity = '5'
</if>
) t
</select>
<sql id="dashboardChartColumnSQL">
<if test="params.device_status!=null">
case WHEN device_status = #{params.device_status} and quantity = #{params.quantity_normal} then distinct_count_num else 0 end normal,
case WHEN device_status = #{params.device_status} and quantity = #{params.quantity_exception} then distinct_count_num else 0 end exception,
<if test="data.os==2">
case WHEN device_status = #{params.device_status} and quantity = #{params.quantity_potential_risk} then distinct_count_num else 0 end potential_risk,
</if>
</if>
<if test="params.appIsUpdate!=null">
case WHEN appIsUpdate = #{params.appIsUpdate} and quantity = #{params.quantity_normal} then distinct_count_num else 0 end normal,
case WHEN appIsUpdate = #{params.appIsUpdate} and quantity = #{params.quantity_exception} then distinct_count_num else 0 end exception,
<if test="data.os==2">
case WHEN appIsUpdate = #{params.appIsUpdate} and quantity = #{params.quantity_potential_risk} then distinct_count_num else 0 end potential_risk,
</if>
</if>
ds
</sql>
<select id="dashboardChart" resultType="Map">
select
sum(normal) normal
,sum(exception) exception
<if test="data.os==2">
,sum(potential_risk) potential_risk
</if>
,ds
from
(
<if test="data.dateType==1 or data.dateType==3 ">
select
<include refid="dashboardChartColumnSQL"/>
from
`yy-flink`.data_info_day
where ds >= #{data.startDateStream} and ds <= #{data.endDateStream}and os = #{data.os} and appkey in (${data.appkeys})
</if>
<if test="data.dateType==3 ">
union all
</if>
<if test="data.dateType==2 or data.dateType==3 ">
select
<include refid="dashboardChartColumnSQL"/>
from
`yy_etl`.data_info_day
where ds >= #{data.startDateOffLine} and ds <= #{data.endDateOffLine} and os = #{data.os} and appkey in (${data.appkeys})
</if>
)a
GROUP BY ds
</select>
<!--dau用新表-->
<sql id="dashboardChartForExceptionColumnSQL">
case WHEN device_status = '1' and quantity = '2' then distinct_count_num else 0 end exception_new_user,
0 as exception_dau,
case WHEN appIsUpdate = '1' and quantity = '2' then distinct_count_num else 0 end exception_update,
<if test="data.os==2">
0 as potential_risk,
</if>
ds
</sql>
<sql id="dashboardChartForExceptionColumnSQLNew">
0 as exception_new_user,
case WHEN quantity = '2' then distinct_count_num else 0 end exception_dau,
0 as exception_update,
<if test="data.os==2">
case WHEN quantity = '5' then distinct_count_num else 0 end potential_risk,
</if>
ds
</sql>
<select id="dashboardChartForException" resultType="Map">
select
sum(exception_new_user) exception_new_user
,sum(exception_dau) exception_dau
,sum(exception_update) exception_update
<if test="data.os==2">
,sum(potential_risk) potential_risk
</if>
,ds
from (
<if test="data.dateType==1 or data.dateType==3 ">
select
<include refid="dashboardChartForExceptionColumnSQL"/>
from
`yy-flink`.data_info_day
where ds >= #{data.startDateStream} and ds <= #{data.endDateStream} and os = #{data.os} and appkey in (${data.appkeys})
union all
select
<include refid="dashboardChartForExceptionColumnSQLNew"/>
from
`yy-flink`.dau_info_day
where ds >= #{data.startDateStream} and ds <= #{data.endDateStream} and os = #{data.os} and appkey in (${data.appkeys})
</if>
<if test="data.dateType==3 ">
union all
</if>
<if test="data.dateType==2 or data.dateType==3 ">
select
<include refid="dashboardChartForExceptionColumnSQL"/>
from
`yy_etl`.data_info_day
where ds >= #{data.startDateOffLine} and ds <= #{data.endDateOffLine} and os = #{data.os} and appkey in (${data.appkeys})
union all
select
<include refid="dashboardChartForExceptionColumnSQLNew"/>
from
`yy_etl`.dau_info_day
where ds >= #{data.startDateOffLine} and ds <= #{data.endDateOffLine} and os = #{data.os} and appkey in (${data.appkeys})
</if>
) a
GROUP BY ds
</select>
<sql id="channelQualityTopChartSumSQL">
<!--<if test="type=='num'">
sum(normal) normal,sum(exception) exception,cid
</if>
<if test="type=='rate'">
sum(normal)/sum(total) normal,sum(exception)/sum(total) exception,cid
</if>-->
sum(normal) normal,sum(exception) exception,cid
</sql>
<sql id="channelQualityTopChartSQL">
case WHEN device_status = '1' and quantity = '1' then distinct_count_num else 0 end normal,
case WHEN device_status = '1' and quantity = '2' then distinct_count_num else 0 end exception,
case WHEN device_status = '1' and (quantity = '2' or quantity = '1') then distinct_count_num else 0 end total,
cid
</sql>
<select id="channelQualityTopChart" resultType="Map">
select
<include refid="channelQualityTopChartSumSQL"/>
from
(
<if test="data.dateType==1 or data.dateType==3 ">
select
<include refid="channelQualityTopChartSQL"/>
from
`yy-flink`.data_info_day
where ds >= #{data.startDateStream} and ds <= #{data.endDateStream} and os = #{data.os} and appkey in (${data.appkeys})
</if>
<if test="data.dateType==3 ">
union all
</if>
<if test="data.dateType==2 or data.dateType==3 ">
select
<include refid="channelQualityTopChartSQL"/>
from
`yy_etl`.data_info_day
where ds >= #{data.startDateOffLine} and ds <= #{data.endDateOffLine} and os = #{data.os} and appkey in (${data.appkeys})
</if>
)a
GROUP BY cid ORDER BY
<if test="type=='num'">
sum(exception)
</if>
<if test="type=='rate'">
sum(exception)/sum(total)
</if>
desc limit 10
</select>
<select id="findSDKReportCount" resultType="java.lang.Long">
SELECT sum(countNum) from (
SELECT sum(count_num) AS 'countNum' FROM `yy-flink`.data_info_day WHERE appkey in
<foreach collection="appkeys" item="appkey" separator="," open="(" close=")">
#{appkey}
</foreach>
AND ds >= #{date} AND ds >= #{pubDate}
UNION ALL
SELECT sum(count_num) AS 'countNum' FROM `yy_etl`.data_info_day WHERE appkey in
<foreach collection="appkeys" item="appkey" separator="," open="(" close=")">
#{appkey}
</foreach>
AND ds < #{date} AND ds >= #{pubDate}
) t1
</select>
<sql id="channelQualityTopListSumSQL">
sum(total) num_total,
sum(normal) num_normal,
case WHEN sum(total) = 0 then 0.0 else sum(normal)*100.0/sum(total) end rate_normal,
sum(exception) num_exception,
case WHEN sum(total) = 0 then 0.0 else sum(exception)*100.0/sum(total) end rate_exception,
cid
</sql>
<sql id="channelQualityTopListSQL">
case WHEN device_status = '1' and quantity = '1' then distinct_count_num else 0 end normal,
case WHEN device_status = '1' and quantity = '2' then distinct_count_num else 0 end exception,
case WHEN device_status = '1' and (quantity = '2' or quantity = '1') then distinct_count_num else 0 end total,
cid
</sql>
<select id="channelQualityTopList" resultType="Map">
select
<include refid="channelQualityTopListSumSQL"/>
from
(
<if test="data.dateType==1 or data.dateType==3 ">
select
<include refid="channelQualityTopListSQL"/>
from
`yy-flink`.data_info_day
where ds >= #{data.startDateStream} and ds <= #{data.endDateStream} and os = #{data.os} and appkey in (${data.appkeys})
</if>
<if test="data.dateType==3 ">
union all
</if>
<if test="data.dateType==2 or data.dateType==3 ">
select
<include refid="channelQualityTopListSQL"/>
from
`yy_etl`.data_info_day
where ds >= #{data.startDateOffLine} and ds <= #{data.endDateOffLine} and os = #{data.os} and appkey in (${data.appkeys})
</if>
)a
GROUP BY cid
<if test="data.orderBy==null">
order by num_exception desc
</if>
</select>
<select id="channelQualityTopListTotal" resultType="Map">
select
<include refid="channelQualityTopListSumSQL"/>
from
(
<if test="data.dateType==1 or data.dateType==3 ">
select
<include refid="channelQualityTopListSQL"/>
from
`yy-flink`.data_info_day
where ds >= #{data.startDateStream} and ds <= #{data.endDateStream} and os = #{data.os} and appkey in (${data.appkeys})
</if>
<if test="data.dateType==3 ">
union all
</if>
<if test="data.dateType==2 or data.dateType==3 ">
select
<include refid="channelQualityTopListSQL"/>
from
`yy_etl`.data_info_day
where ds >= #{data.startDateOffLine} and ds <= #{data.endDateOffLine} and os = #{data.os} and appkey in (${data.appkeys})
</if>
)a
</select>
<!--DAU单独查表-->
<select id="relativeDau" resultType="int">
select COALESCE(sum(distinct_count_num),0) from
(
<if test="data.dateType==1 or data.dateType==3 ">
select
distinct_count_num
from `yy-flink`.dau_info_day
where ds >= #{data.startDateStream} and ds <= #{data.endDateStream} and os = #{data.os} and appkey in (${data.appkeys})
<if test="params.quantity!=null">
and quantity = #{params.quantity}
</if>
</if>
<if test="data.dateType==3 ">
union all
</if>
<if test="data.dateType==2 or data.dateType==3 ">
select
distinct_count_num
from `yy_etl`.dau_info_day
where ds >= #{data.startDateOffLine} and ds <= #{data.endDateOffLine} and os = #{data.os} and appkey in (${data.appkeys})
<if test="params.quantity!=null">
and quantity = #{params.quantity}
</if>
</if>
) t
</select>
<select id="dashboardChartDAU" resultType="Map">
select
sum(normal) normal
,sum(exception) exception
<if test="data.os==2">
,sum(potential_risk) potential_risk
</if>
,ds
from
(
<if test="data.dateType==1 or data.dateType==3 ">
select
case WHEN quantity = #{params.quantity_normal} then distinct_count_num else 0 end normal,
case WHEN quantity = #{params.quantity_exception} then distinct_count_num else 0 end exception,
<if test="data.os==2">
case WHEN quantity = #{params.quantity_potential_risk} then distinct_count_num else 0 end potential_risk,
</if>
ds
from
`yy-flink`.dau_info_day
where ds >= #{data.startDateStream} and ds <= #{data.endDateStream} and os = #{data.os} and appkey in (${data.appkeys})
</if>
<if test="data.dateType==3 ">
union all
</if>
<if test="data.dateType==2 or data.dateType==3 ">
select
case WHEN quantity = #{params.quantity_normal} then distinct_count_num else 0 end normal,
case WHEN quantity = #{params.quantity_exception} then distinct_count_num else 0 end exception,
<if test="data.os==2">
case WHEN quantity = #{params.quantity_potential_risk} then distinct_count_num else 0 end potential_risk,
</if>
ds
from
`yy_etl`.dau_info_day
where ds >= #{data.startDateOffLine} and ds <= #{data.endDateOffLine} and os = #{data.os} and appkey in (${data.appkeys})
</if>
)a
GROUP BY ds
</select>
</mapper>