KP工作枱數據漏斗

描述

aone

aone

RPC接口

接口

需求

接口

external/kpwork/overview

sql

• terminal_type: PC, TOTAL, WS

SELECT
    stat_date,
    imps_cnt_1d_027,
    clk_cnt_1d_092,
    uv_1d_169,
    fb_cnt_1d_013,
    fst_reply_rate_1m_003
FROM
    dwp_en_dm_comp_term_catelv2_eff_d
where
    stat_date>="2018-10-8"
    and stat_date<="2018-10-9"
    and statistic_type="ALL"
    and admin_mbr_seq="14"
    and terminal_type="PC"
    and is_main_cate="Y"
    and cate_lv2_id=100010695

展現的條目

• （投）--- 未加工（投的錢）
• （曝）imps_cnt_1d_027  : 最近1天排除聯盟的搜索item和p4p商品曝光量
• （訪）uv_1d_169  : 最近1天訪客數
• （點）clk_cnt_1d_092 ： 最近1天排除聯盟的搜索item和p4p商品相關點擊次數
• （反）fb_cnt_1d_013  : 最近1天有效MC詢盤數

oneService

參數

• statDate (根據statisticsType校驗，返回相應錯誤) 
• terminalType
• statisticsType
• adminMemberSeq

SQL配置

• external.kpwork.overview

select
    ${returnFields}    
from
    <if test='statisticsType == "day"'> 
        dwp_en_dm_comp_term_catelv2_eff_d
    </if>  
    <if test='statisticsType == "week"'> 
        dwp_en_dm_comp_term_catelv2_eff_w
    </if>
    <if test='statisticsType == "month"'> 
        dwp_en_dm_comp_term_catelv2_eff_m
    </if>         
where
    ( stat_date = #{statDate} 
       or stat_date = #{prevDate} )
    and admin_mbr_seq = #{adminMemberSeq}
    and terminal_type = #{terminalType}
    and is_main_cate = #{isMainCate}
    and cate_lv2_id = #{cateLv2Id}

java腳本

• 計算前一天/周/月

import java.text.SimpleDateFormat;
import org.apache.commons.lang.time.DateUtils;


SimpleDateFormat sdf = new SimpleDateFormat("yyyy-MM-dd");
Date statDate = new Date(sdf.parse(statDateStr).getTime());
Date prevDate = statDate;
if ("day".equalsIgnoreCase(statisticsType)) {
    prevDate = DateUtils.addDays(statDate, -1);
} else if ("week".equalsIgnoreCase(statisticsType)) {
    prevDate = DateUtils.addWeeks(statDate, -1);
} else if ("month".equalsIgnoreCase(statisticsType)) {
    prevDate = DateUtils.addMonths(statDate, -1);
}

return sdf.format(prevDate);