示例数据：TPC-DS¶

业务问题¶

查找每个呼叫中心的商品品牌和类别及其指定年份的月度销售数据，其中月销售额数字偏离了当年平均月销售额的 10% 以上，按偏差和呼叫中心排序。报告与上几个月和后几个月的销售偏差。

函数查询定义¶

查询列出了以下总数：

• 总价

• 折扣总价

• 折扣总价加税

• 平均数量

• 平均总价

• 平均折扣

这些汇总按 RETURNFLAG 和 LINESTATUS 分组，并按 RETURNFLAG 和 LINESTATUS 的升序列出。包括每组中的行项目数量计数：

use schema snowflake_sample_data.tpcds_sf10Tcl;

-- QID=TPC-DS_query57

with
v1 as(
  select i_category, i_brand,
         cc_name,
         d_year, d_moy,
         sum(cs_sales_price) sum_sales,
         avg(sum(cs_sales_price)) over
           (partition by i_category, i_brand, cc_name, d_year) avg_monthly_sales,
         rank() over (partition by i_category, i_brand, cc_name order by d_year, d_moy) rn
  from item, catalog_sales, date_dim, call_center
  where cs_item_sk = i_item_sk and
        cs_sold_date_sk = d_date_sk and
        cc_call_center_sk= cs_call_center_sk and
          (
            d_year = 2001 or
          ( d_year = 2001-1 and d_moy =12) or
          ( d_year = 2001+1 and d_moy =1)
          )
  group by i_category, i_brand,
           cc_name , d_year, d_moy),
v2 as(
  select v1.i_brand
    ,v1.d_year, v1.d_moy
    ,v1.avg_monthly_sales
    ,v1.sum_sales, v1_lag.sum_sales psum, v1_lead.sum_sales nsum
  from v1, v1 v1_lag, v1 v1_lead
  where v1.i_category = v1_lag.i_category and
    v1.i_category = v1_lead.i_category and
    v1.i_brand = v1_lag.i_brand and
    v1.i_brand = v1_lead.i_brand and
    v1.cc_name = v1_lag. cc_name and
    v1.cc_name = v1_lead. cc_name and
    v1.rn = v1_lag.rn + 1 and
    v1.rn = v1_lead.rn - 1)
select  *
from v2
where d_year = 2001 and
  avg_monthly_sales > 0 and
  case when avg_monthly_sales > 0
       then abs(sum_sales - avg_monthly_sales) / avg_monthly_sales
       else null
       end > 0.1
order by sum_sales - avg_monthly_sales, nsum
limit 100;

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