“首页经营效果中,增加按发布产品拆分指标选项”的版本间的差异

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行业平均
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</source>
 
</source>
 
== oneness查询 ==
 
== oneness查询 ==
=== 行业平均 ===
+
=== 行业平均(数据有问题!!!) ===
 
<source lang="sql">
 
<source lang="sql">
 
select
 
select

2018年12月24日 (一) 14:03的版本

新表

  • dwp_en_dm_vip_comp_term_region_catelv3_cube_d (dwp_en_dm_vip_comp_term_region_cube_d)
  • dwp_en_dm_vip_catelv3_term_cube_d (dwp_en_dm_vip_cate_term_cube_d)
    • 获取具体类目的指标在行业平均效果 (老表不分类目,是店铺的所有类目汇总)
    • 指标包括 'comp_fb_uv' , 'comp_ord_amt' , 'shop_pv' , 'comp_ord_cnt' , 'comp_clk_cnt' , 'comp_atm_uv' , 'shop_uv' , 'comp_imps_cnt' , 'comp_fb_cnt'
  • dwp_en_dm_vip_comp_cate_term_eff_d (dwp_en_dm_vip_comp_term_eff_d)

oneness

vip.home.getShopSummary

select
    ${returnFields} 
from
    <if test='statisticsType == "day" and seperateByCate == "false"'> 
        dwp_en_dm_vip_comp_term_eff_d
    </if>  
    <if test='statisticsType == "week" and seperateByCate == "false"'> 
        dwp_en_dm_vip_comp_term_eff_w
    </if>
    <if test='statisticsType == "month" and seperateByCate == "false"'> 
        dwp_en_dm_vip_comp_term_eff_m
    </if>
    <if test='statisticsType == "day" and seperateByCate == "true"'> 
        dwp_en_dm_vip_comp_cate_term_eff_d
    </if>  
    <if test='statisticsType == "week" and seperateByCate == "true"'> 
        dwp_en_dm_vip_comp_cate_term_eff_w
    </if>
    <if test='statisticsType == "month" and seperateByCate == "true"'> 
        dwp_en_dm_vip_comp_cate_term_eff_m
    </if>
where
    admin_mbr_seq = #{adminMemberSeq}
    and terminal_type = #{terminalType}
    <if test='seperateByCate == "true"'>
        and cate_lv3_id = #{cateId}
    </if>
     <if test="statDateList != null">
     and  stat_date in
     <foreach collection="statDateList" item="item" open="(" separator="," close=")">  
           #{item}  
     </foreach>
     </if>
     <if test="region!= null">
          and  statistic_type = #{region}  
     </if>

hsf 测试

vip/home/getShopSummary

[
  "vip/home/getShopSummary-new",
  {
    "adminMemberSeq": "14",
    "statDate": "2018-12-04",
    "statisticsType": "day",
    "prevDate": "2018-12-03",
    "cateId": "330",
    "seperateByCate": "true"
  }
]
  • 比较老版少了4个字段 (dwp_en_dm_vip_comp_cate_term_eff_d)
    • statDate {1} fbUv {4} orderAmount {4} shopPv {4} orderCount {4} searchClicks {4} shopUv {4} tmUv {4} searchImps {4} fbPv
    • statDate {1} fbUv {4} searchClicks {4} tmUv {4} searchImps {4} fbPv {4}
    • 少的字段: orderAmount shopPv orderCount shopUv

vip/home/getShopTrends

[
  "vip/home/getShopTrends-new",
  {
    "adminMemberSeq": "14",
    "beginDate": "2018-12-03",
    "endDate": "2018-12-04",
    "statisticsType": "day",
    "cateId": "145",
    "seperateByCate": "true"
  }
]

vip/home/getShopRegionAnalysis

[
  "vip/home/getShopRegionAnalysis-new",
  {
    "adminMemberSeq": "14",
    "statDate": "2018-12-04",
    "statisticsType": "day",
    "cateId": "1521",
    "seperateByCate": "true"
  }
]


[
  "vip/home/getShopRegionAnalysis-new",
  {
    "adminMemberSeq": "14",
    "statDate": "2018-12-08",
    "statisticsType": "week",
    "cateId": "1521",
    "seperateByCate": "true"
  }
]

oneness查询

行业平均(数据有问题!!!)

select
    stat_date as statDate,
    round(cate_lv3_top10_avg,
    1) as cateAvg,
    target_type as indicatorType,
    round(cate_lv3_top10_avg) as cateTop10Avg 
from
    dwp_en_dm_vip_catelv3_term_cube_m 
where
    cate_lv3_id = '127726013' 
    and stat_date >= '2018-11-01' 
    and '2018-12-01' >= stat_date 
    and terminal_type = 'TOTAL' 
    and statistic_type = 'all' 
    and target_type in (
        'comp_fb_uv' , 'adm_click_cnt' , 'comp_clk_cnt' , 'comp_atm_uv' , 'comp_imps_cnt' , 'comp_fb_cnt' , 'adm_imps_cnt' 
    )