left join 多条件_将数组数据拆分后再合并,作为字典的键,实现多条件数据汇总...

博客讲解VBA数组与字典解决方案第43讲,将数组数据拆分后合并作为字典的键,实现多条件的数据汇总。介绍如何把多个数据放在键中再分解,还给出将数据中A、B、C三列作为合并汇总基准的代码示例。

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大家好,我们今天继续讲解VBA数组与字典解决方案,今日的内容是第43讲,将数组数据拆分后合并,作为字典的键,实现多条件的数据汇总。在进入字典的讲解后,我给大家讲各种实际情况中利用字典的解决方案,让大家逐渐了解到字典的用处,并学会利用字典来解决实际问题。

今日我们要解决的实际问题是,如何把多个数据放在键中,然后在分解开,在之前的讲解中,我讲过两个条件放到键中,今日来讲解多个条件的情况,我们看下面的数据:

2c2da9064387f83494cd82431d8938c1.png

我们要把上述数据中A.B.C三列的数据作为合并汇总的基准,这个代码如何写呢?下面看我给出代码:

Sub mynzsz_43() '第43讲 将数组的拆分后合并作为字典的键,实现多条件的数据汇总

Set mydic = CreateObject("scripting.dictionary")

'讲数据页的数据放入数组

myarr = Sheets("数据").UsedRange

'将数组的前三列打碎后放入键中

For i = 2 To UBound(myarr)

If Not mydic.exists(Join(Array(myarr(i, 1), myarr(i, 2), myarr(i, 3)), "|")) Then

mydic(Join(Array(myarr(i, 1), myarr(i, 2), myarr(i, 3)), "|")) = myarr(i, 4)

Else

mydic(Join(Array(myarr(i, 1), myarr(i, 2), myarr(i, 3)), "|")) = _

mydic(Join(Array(myarr(i, 1), myarr(i, 2), myarr(i, 3)), "|")) + myarr(i, 4)

End If

Next

Sheets("43").Select

[a:e].Clear

Range("A1:D1") = Array("型号

SELECT DISTINCT x4.seats_proxy_key AS seats_id, '在线' AS data_value, t.status_start_tm AS status_begin_dt, t.status_end_tm AS status_end_dt, CASE t.currt_status WHEN '0' THEN '客服断开链接' WHEN '1' THEN '接线(连接)' WHEN '2' THEN '小休-休息' WHEN '3' THEN '接线' WHEN '4' THEN '挂起' WHEN '6' THEN '可忽略状态' WHEN '7' THEN '小休-培训' WHEN '8' THEN '小休-吃饭' WHEN '10' THEN '准备时长' ELSE '未知状态' END AS seats_status, t.dt FROM ( SELECT regexp_replace(substr(create_time,1,10),'-','') AS dt, staff_id, current_status AS currt_status, create_time AS status_start_tm, lead(create_time) OVER (PARTITION BY staff_id, substr(create_time,1,10) ORDER BY cast(id AS int)) AS status_end_tm FROM ods.im_api_im_staff_status_transition_history ) t LEFT JOIN ( SELECT login_acct_no AS cust_svc_id, seats_proxy_key FROM dim.dim_ip_seats_info h WHERE etl_source = 'ima' AND etl_end_date = '99991231' ) x4 ON t.staff_id = x4.cust_svc_id union all SELECT DISTINCT a.seats_id, c.data_value, a.status_begin_dt, a.status_end_dt, a.seats_status, a.dt FROM (SELECT seats_id, status_begin_dt,status_end_dt,seats_status,dt from dwd.dwd_ev_icc_seats_status_info_di) a LEFT JOIN (SELECT login_acct_no,seats_proxy_key from dim.dim_ip_seats_info) b ON a.seats_id = b.seats_proxy_key LEFT JOIN ( SELECT DISTINCT a.icc_account, b.data_value, b.data_key FROM ods_icrm.ods_mdm_icc_account a LEFT JOIN ( SELECT data_value,data_key FROM ods_icrm.ods_mdm_data_dictionary WHERE data_type = 'business_type' AND deleted = 0 ) b ON a.business_type = b.data_key ) c ON c.icc_account = b.login_acct_no WHERE data_value IS NOT NULL and data_value NOT like '%在线%'; 使用with 结构,然后读取数据
最新发布
07-31
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