我有一个很大的select语句，它是从许多其他表和连接构建的。
我需要另一个包含相同数据但基于2个不同日期的select语句。
当前选择结果如下
Date | ID |Account|Prod|Location|Cost|Owner |
10-10-2017 | #73818 | B17H12|M104|EastNY |400 |Jay Bob|
10-11-2017 | #77618 | B16H14|M104|EastNY |200 |Jay Bob|
10-11-2017 | #73818 | B17H12|M106|WestNY |300 |Jay Bob|
10-10-2017 | #75543 | B13H17|M106|WestNY |900 |Jay Bob|
新陈述我需要比较上面的相同但返回我选择的2个不同日期的状态，比如10和11，所以表格就是这样
Owner | ID | Account | Date 1 | Prod |Location | Cost | Date 2 | Prod | Location |Cost|
Jay Bob | #73818 | B17H12 | 10-10-2017 | M104 | EastNY | 400 | 10-11-2017 | M106 | EastNY |300 |
Jay Bob | #77618 | B16H14 | 10-10-2017 | NULL | NULL | NULL | 10-11-2017 | M104 | EastNY |200 |
Jay Bob | #75543 | B13H17 | 10-10-2017 | M106 | WestNY | 900 | 10-11-2017 | NULL | NULL |NULL|
这是原始的擦除声明 unit.sample_date具有日期，unit.entity_id是ID 我不会在案例中需要很多这样的行，但有些我需要我需要的选择是这些比较来自2个不同日期的列的子集。
with temp as (select platform as pltfrm, total_01, total_02, entity_identification.display_name as Platform from hardware
LEFT join host_info on hardware.id = host_info.hardware_id
left join entity_identification on host_info.entity_id = entity_identification.entity_id
where platform= 'Plat01')
select unit.sample_date,
entity_identification.display_name as hostname,
entity_identification.object_id,
pim.[Product_Code] as 'PrdCode',
pim.ProductName,
ha4.attr_value as Region,
ha5.attr_value as Plat01_Account,
ha1.attr_value as 'Environment',
ha2.attr_value as 'Inventory_Code',
ha3.attr_value as 'moving_Group',
enid01.object_id as 'moving_Group_ID',
unit.exist_space_type as 'Current_space_type',
unit.recomm_space_type as 'Recommended_space_type',
CASE
when ha.attr_value IS NULL then 'N/A' else ha.attr_value end as 'Price_Model',
unit.exist_cost as 'Current_space_Cost',
unit.recomm_cost as 'Recommended_space_Cost',
unit.exist_cost - unit.recomm_cost as 'Savings_Month',
(unit.exist_cost - unit.recomm_cost) / 30 as 'Savings_Daily',
CASE
when unit.exist_cost > unit.recomm_cost AND ((unit.recomm_space_type not like 'idle%') AND (substring(unit.recomm_space_type, 0, 2) != substring(unit.exist_space_type, 0, 2))) then 'too_much'
when unit.exist_cost < unit.recomm_cost AND ((unit.recomm_space_type not like 'idle%') AND (substring(unit.recomm_space_type, 0, 2) != substring(unit.exist_space_type, 0, 2))) then 'too_little'
when unit.exist_cost = unit.recomm_cost then 'Just_Right'
when substring(unit.recomm_space_type, 0, 2) = substring(unit.exist_space_type, 0, 2) then 'update'
when unit.recomm_space_type like 'idle%' then 'remove' end as 'Status_On_Date',
v_system_info_hist.total_01 as 'Cur_LT01_Total_T01Low',
((unit.exist_cost) / (v_system_info_hist.total_01)*1000) as 'Cur_Cost_Per_T01',
case
when temp.total_01 IS NULL then 0 else temp.total_01 end as 'Rec_Total_LT01_T01Low',
case
when temp.total_01 IS NULL then 0 else ((unit.recomm_cost) / (temp.total_01)*1000) end as 'Rec_Cost_Per_T01',
case
when temp.total_01 IS NULL then ((unit.exist_cost) / (v_system_info_hist.total_01)*1000) else ( ((unit.exist_cost) / (v_system_info_hist.total_01)*1000)-((unit.recomm_cost) / (temp.total_01)*1000) ) end as 'Savings_per_T01',
case
when temp.total_02 IS NULL then ((unit.exist_cost) / (v_system_info_hist.total_02)) else ((unit.exist_cost/v_system_info_hist.total_01)*temp.total_01) - (unit.recomm_cost) end as 'LT01_Projected_Total_Potential_Cost_Saving',
v_system_info_hist.total_02 as 'Cur_T02_Count',
unit.exist_cost / v_system_info_hist.total_02 as 'Cur_Cost_Per_T02',
case
when temp.total_02 IS NULL then 0 else temp.total_02 end as 'Rec_T02_Count',
case
when temp.total_02 IS NULL then 0 else ((unit.recomm_cost) / (temp.total_02)) end as 'Rec_Cost_Per_T02',
case
when temp.total_02 IS NULL then ((unit.exist_cost) / (v_system_info_hist.total_02)) else ( ((unit.exist_cost) / (v_system_info_hist.total_02))-((unit.recomm_cost) / (temp.total_02)) ) end as 'Savings_per_T02',
case
when temp.total_02 IS NULL then ((unit.exist_cost) / (v_system_info_hist.total_02)) else ( ((unit.exist_cost/v_system_info_hist.total_02)*temp.total_02) - (unit.recomm_cost) ) end as 'T02_Projected_Total_Potential_Cost_Saving',
case
when ha6.attr_value IS NULL AND unit.exist_cost > unit.recomm_cost AND ((unit.recomm_space_type not like 'idle%') AND (substring(unit.recomm_space_type, 0, 2) != substring(unit.exist_space_type, 0, 2))) then 85
when ha6.attr_value IS NULL AND unit.exist_cost < unit.recomm_cost AND ((unit.recomm_space_type not like 'idle%') AND (substring(unit.recomm_space_type, 0, 2) != substring(unit.exist_space_type, 0, 2))) then 80
when ha6.attr_value IS NULL AND unit.exist_cost = unit.recomm_cost then 5
when ha6.attr_value IS NULL AND substring(unit.recomm_space_type, 0, 2) = substring(unit.exist_space_type, 0, 2) then 88
when ha6.attr_value IS NULL AND unit.recomm_space_type like 'idle%' then 90 else ha6.attr_value end as 'Confidence_Score',
case
when ha7.attr_value IS NULL AND unit.exist_cost > unit.recomm_cost AND ((unit.recomm_space_type not like 'idle%') AND (substring(unit.recomm_space_type, 0, 2) != substring(unit.exist_space_type, 0, 2))) then 3
when ha7.attr_value IS NULL AND unit.exist_cost < unit.recomm_cost AND ((unit.recomm_space_type not like 'idle%') AND (substring(unit.recomm_space_type, 0, 2) != substring(unit.exist_space_type, 0, 2))) then 5
when ha7.attr_value IS NULL AND unit.exist_cost = unit.recomm_cost then 5
when ha7.attr_value IS NULL AND substring(unit.recomm_space_type, 0, 2) = substring(unit.exist_space_type, 0, 2) then 2
when ha7.attr_value IS NULL AND unit.recomm_space_type like 'idle%' then 2 else ha7.attr_value end as 'PSFT_Ticket_Sev',
pim.SeniorTechOwner,
pim.TechOwner,
pim.SupportEmail,
pim.SeniorProductOwner,
pim.PSFT,
pim.SlackChannel,
v_ig.ig_name as Availability_Zone,
pim.[Asset_Id] as 'Asset_Id'
FROM [dbo].[unit_u_transfer_hist] unit
LEFT JOIN host_attributes on host_attributes.host_name = unit.entity_id and host_attributes.attr_key = 'attr_5'
LEFT JOIN host_attributes ha on ha.host_name = unit.entity_id and ha.attr_key = 'attr_10'
LEFT JOIN host_attributes ha1 on ha1.host_name = unit.entity_id and ha1.attr_key = 'attr_3'
LEFT JOIN host_attributes ha2 on ha2.host_name = unit.entity_id and ha2.attr_key = 'attr_4'
LEFT JOIN host_attributes ha3 on ha3.host_name = unit.entity_id and ha3.attr_key = 'attr_9'
LEFT JOIN host_attributes ha4 on ha4.host_name = unit.entity_id and ha4.attr_key = 'VE_LOCATION_DATA'
LEFT JOIN host_attributes ha5 on ha5.host_name = unit.entity_id and ha5.attr_key = 'VE_LOCATION_DOM'
LEFT JOIN host_attributes ha6 on ha6.host_name = unit.entity_id and ha6.attr_key = 'attr_14'
LEFT JOIN host_attributes ha7 on ha7.host_name = unit.entity_id and ha7.attr_key = 'attr_15'
LEFT JOIN v_system_info_hist on v_system_info_hist.entity_id = unit.entity_id and dbo.v_system_info_hist.sample_date = unit.sample_date
LEFT JOIN entity_identification enid01 on v_system_info_hist.parent_entity_id = enid01.entity_id and dbo.v_system_info_hist.sample_date = unit.sample_date
LEFT JOIN temp on unit.recomm_space_type like temp.platform+'%'
LEFT JOIN v_ig on v_ig.ig_id = unit.ig_id
LEFT JOIN [dbo].[ud_tkm_pimm] pim on pim.[Product_Code] = Replace(host_attributes.attr_value, 'PRD00000','PRD')
OR pim.[Product_Code] = Replace(host_attributes.attr_value, 'PRD0000','PRD')
LEFT JOIN entity_identification on entity_identification.entity_id = unit.entity_id
where unit.sample_date >= DATEADD(day, -13, GETDATE()) ORDER BY PrdCode desc
答案 0 :(得分：0)
您没有指定数据库，因此我使用了SQL Server语法。您需要再选择两个日期，然后完全外部联接。
DECLARE @first datetime, @second datetime
SELECT @first='10/10/2017', @second='10/11/2017'
SELECT isnull(first.Owner, second.Owner) Owner,
isnull(first.ID, second.ID) ID,
isnull(first.Account, second.Account) Account,
@first [Date 1],
first.Prod,
first.Location,
first.Cost,
@second [Date 2],
second.Prod,
second.Location,
second.Cost
FROM
(SELECT * FROM Table WHERE Date=@first) first
FULL OUTER JOIN
(SELECT * FROM Table WHERE Date=@second) second
ON first.Owner=second.Owner
and first.ID=second.ID
and first.Account=second.Account
答案 1 :(得分：0)
从您的结果集看起来您的2个日期基于具有相同ID的2个不同记录。如果没有看到你要查询的表的详细信息，很难告诉你如何做到这一点，但基本的想法是再次将表加入表和使它们不同的条件
即。
SELECT d.ID, d.Date AS Date1, d2.Date AS Date2
FROM IDTABLE d
LEFT JOIN IDTABLE d2
ON d.ID=d2.ID
AND d2.Date<d1.Date