zoukankan      html  css  js  c++  java
  • sql server按月份,按项目号展开表格

    原始数据:

    01 RD21 6495.4114
    02 RD21 87.436
    04 RD21 101.7184
    05 RD21 1.5384
    01 RD25 7803.3037
    09 RD25 106.8375
    01 RD33 20036.4738
    02 RD33 2179.80
    03 RD33 159.6858
    05 RD33 83.8036
    06 RD33 82.59
    07 RD33 290.24
    08 RD33 560.1575
    09 RD33 0.00

    select c.*,a.amountmoney from (
    select rdno,
    max(case mondate when '01' then amount else 0 end) as "01",
    max(case mondate when '02' then amount else 0 end) as "02",
    max(case mondate when '03' then amount else 0 end) as "03",
    max(case mondate when '04' then amount else 0 end) as "04",
    max(case mondate when '05' then amount else 0 end) as "05",
    max(case mondate when '06' then amount else 0 end) as "06",
    max(case mondate when '07' then amount else 0 end) as "07",
    max(case mondate when '08' then amount else 0 end) as "08",
    max(case mondate when '09' then amount else 0 end) as "09",
    max(case mondate when '10' then amount else 0 end) as "10",
    max(case mondate when '11' then amount else 0 end) as "11",
    max(case mondate when '12' then amount else 0 end) as "12"
    from ( select datename(mm,operdate) as mondate,rdno,sum(summoney) as amount
    from fp_pr_materialdetail with(nolock)
    where operdate<='2018-12-31' and operdate>='2018-01-01'
    group by datename(mm,operdate),rdno
    ) b group by rdno) c
    left join (select rdno,sum(amount) as amountmoney from (
    select rdno,sum(summoney) as amount
    from fp_pr_materialdetail with(nolock)
    where operdate<='2018-12-31' and operdate>='2018-01-01'
    group by rdno
    ) k group by rdno) a on a.rdno=c.rdno

    结果数据:

    RDno 01       02       03     04       05       06    07     08     09     10  11   12

    RD21 6495.4114 87.436 0.00 101.7184 1.5384 0.00 0.00 0.00 0.00 0.00 0.00 0.00 6686.1042
    RD25 7803.3037 0.00 0.00 0.00 0.00 0.00 0.00 0.00 106.8375 0.00 0.00 0.00 7910.1412
    RD33 20036.4738 2179.80 159.6858 0.00 83.8036 82.59 290.24 560.1575 0.00 0.00 0.00 0.00 23392.7507

  • 相关阅读:
    百度云如何免费扩容至2055G?
    OKR学习总结
    layui和bootstrap 对比
    使用马克飞象+印象笔记 如何简单便捷地发表博客?
    Sublime使用记录之SublimeServer插件介绍
    12.RcolorBrewer包
    11.R语言流程
    25.conda 下载安装与运用
    7、purge_haplogs 基因组去冗余
    5.MCScanX 与circos下载、安装、运用
  • 原文地址:https://www.cnblogs.com/yc-shen/p/9963036.html
Copyright © 2011-2022 走看看