I have a table where the data is needs to be corrected. Below is an example of one record. Basically the data in the selling closed_unit needs to be in the Agent_to_Agent Ref close_unit. I have tried every different what I can think of but I can't get it figured out. I am sure it is fairly simple I think I am just looking too hard at the wrong way. Any help is greatly appreciated!
Current (bad) data:
+---------+---------+--------------------+-------------+-----------------+----------------+-------------------+----------+
| sale_no | payeeID | ComType | close_units | record_type | ref_agent_type | referring_agentID | ref_side |
+---------+---------+--------------------+-------------+-----------------+----------------+-------------------+----------+
| 7586 | 1001 | Listing | 1 | Listing | NULL | 0 | |
| 7586 | 2001 | Selling | 1 | Selling | NULL | 0 | |
| 7586 | 3254 | NULL | 0 | Off The Top Ref | NULL | 0 | L |
| 7586 | 4684 | Agent to Agent Ref | 0 | Agent Paid Ref | Selling | 2001 | |
+---------+---------+--------------------+-------------+-----------------+----------------+-------------------+----------+
Expected result:
+---------+---------+--------------------+-------------+-----------------+----------------+-------------------+----------+
| sale_no | payeeID | ComType | close_units | record_type | ref_agent_type | referring_agentID | ref_side |
+---------+---------+--------------------+-------------+-----------------+----------------+-------------------+----------+
| 7586 | 1001 | Listing | 1 | Listing | NULL | 0 | |
| 7586 | 2001 | Selling | 0 | Selling | NULL | 0 | |
| 7586 | 3254 | NULL | 0 | Off The Top Ref | NULL | 0 | L |
| 7586 | 4684 | Agent to Agent Ref | 1 | Agent Paid Ref | Selling | 2001 | |
+---------+---------+--------------------+-------------+-----------------+----------------+-------------------+----------+
The following query will copy the value to the "Agent to Agent Ref" row:
update my_table t1 set close_units = (
select close_units from my_table t2
where t2.sale_no = t1.sale_no and t2.ComType = 'Selling'
)
where ComType = 'Agent to Agent Ref';
And this one will reset the "Selling" value to zero:
update my_table t1
set close_units = 0
where ComType = 'Selling'
and exists (
select close_units from my_table t2
where t2.sale_no = t1.sale_no and t2.ComType = 'Agent to Agent Ref'
)
Related
I have a table ORDERS with a column named cache_total_price, spent by each client.
+----+-----------+------------+-----------+------------------+
| id | client_id | date | reference | cache_total_price|
+----+-----------+------------+-----------+------------------+
| 1 | 20 | 2019-01-01 | 004214 | 0 |
| 2 | 3 | 2019-01-03 | 007120 | 0 |
| 3 | 11 | 2019-01-04 | 002957 | 0 |
| 4 | 6 | 2019-01-07 | 003425 | 0 |
I have another table ORDERS_REFS where there is the price total spent for each orders id
+-----+-------------+------------+----------+---------------+------------+
| id | order_id | name | quantity | unit_price | total_price|
+-----+-------------+------------+----------+---------------+------------+
| 1 | 1 | Produit 19 | 3 | 49.57 | 148.71 |
| 2 | 1 | Produit 92 | 4 | 81.24 | 324.96 |
| 3 | 1 | Produit 68 | 2 | 17.48 | 34.96 |
| 4 | 2 | Produit 53 | 4 | 83.69 | 334.76 |
| 5 | 2 | Produit 78 | 6 | 5.99 | 35.94 |
I want to had to column cache_total_price the result of my query :
select sum(total_price) from orders_refs group by order_id;
result :
+--------------------+
| sum(total_price) |
+--------------------+
| 508.6299819946289 |
| 370.700008392334 |
| 132.3699951171875 |
| 2090.1800079345703 |
I've tried some queries with Insert into select or update set, but didn't worked :(
If you're wanting to update all the orders at once, in MySQL a subquery like this should do the trick. You could always add a WHERE clause to do one at a time.
UPDATE ORDERS
SET cache_total_price = (
SELECT sum(total_price) from ORDERS_REF where order_id = ORDERS.id
)
update t
set t.cache_total_price=x.sum_total_price
from ORDERS as t
join
(
select order_id,sum(total_price)as sum_total_price
from orders_refs group by order_id
)x on t.id=x.order_id
In SQL Server you can try this one.
I am building out a customer retention report. We identify customers by their email. Here is some sample data from our table:
+----------------------------+------------------+-------------------+---------------------+------------+-------------+--------------+---------------+------------------+---------------+----------------+--------------+------------------+--+--+--+--+--+
| Email | BrandNewCustomer | RecurringCustomer | ReactivatedCustomer | OrderCount | TotalOrders | Date_Created | Customer_Name | Customer_Address | Customer_City | Customer_State | Customer_Zip | Customer_Country | | | | | |
+----------------------------+------------------+-------------------+---------------------+------------+-------------+--------------+---------------+------------------+---------------+----------------+--------------+------------------+--+--+--+--+--+
| zyw#marketplace.amazon.com | 1 | 0 | 0 | 1 | 1 | 41:50.0 | Sha | 990 | BRO | NY | 112 | US | | | | | |
| zyu#gmail.com | 1 | 0 | 0 | 1 | 1 | 57:25.0 | Zyu | 181 | Mia | FL | 330 | US | | | | | |
| ZyR#aol.com | 1 | 0 | 0 | 1 | 1 | 10:19.0 | Day | 581 | Myr | SC | 295 | US | | | | | |
| zyr#gmail.com | 1 | 0 | 0 | 1 | 1 | 25:19.0 | Nic | 173 | Was | DC | 200 | US | | | | | |
| zy#gmail.com | 1 | 0 | 0 | 1 | 1 | 19:18.0 | Kim | 675 | MIA | FL | 331 | US | | | | | |
| zyou#gmail.com | 1 | 0 | 0 | 1 | 1 | 40:29.0 | zoe | 160 | Mob | AL | 366 | US | | | | | |
| zyon#yahoo.com | 1 | 0 | 0 | 1 | 1 | 17:21.0 | Zyo | 84 | Sta | CT | 690 | US | | | | | |
| zyo#gmail.com | 1 | 0 | 0 | 2 | 2 | 02:03.0 | Zyo | 432 | Ell | GA | 302 | US | | | | | |
| zyo#gmail.com | 1 | 0 | 0 | 1 | 2 | 12:54.0 | Zyo | 432 | Ell | GA | 302 | US | | | | | |
| zyn#icloud.com | 1 | 0 | 0 | 1 | 1 | 54:56.0 | Zyn | 916 | Nor | CA | 913 | US | | | | | |
| zyl#gmail.com | 0 | 1 | 0 | 3 | 3 | 31:27.0 | Ser | 123 | Mia | FL | 331 | US | | | | | |
| zyk#marketplace.amazon.com | 1 | 0 | 0 | 1 | 1 | 44:00.0 | Myr | 101 | MIA | FL | 331 | US | | | | | |
+----------------------------+------------------+-------------------+---------------------+------------+-------------+--------------+---------------+------------------+---------------+----------------+--------------+------------------+--+--+--+--+--+
We define our customer by email. So all orders with the same email are marked to be under one customer and then we do calculations on top of that.
Now I am trying to find out about customers whose emails have changed. So to do this we will try to line up customers by their address.
So per each row (so when separated by email), I want to have another column called something like Orders_With_Same_Address_Different_Email. How would I do that?
I have tried doing something with Dense Rank but it doesn't seem to work:
SELECT DISTINCT
Email
,BrandNewCustomer
,RecurringCustomer
,ReactivatedCustomer
,OrderCount
,TotalOrders
,Date_Created
,Customer_Name
,Customer_Address
,Customer_City
,Customer_State
,Customer_Zip
,Customer_Country
,(DENSE_RANK() over (partition by Email order by (case when email <> email then Customer_Address end) asc)
+DENSE_RANK() over ( partition by Email order by (case when email <> email then Customer_Address end) desc)
- 1) as Orders_With_Same_Name_Different_Email
--*
FROM Customers
Try counting the email partitioned by address, not by email:
select Email,
-- ...
Orders_With_Same_Name_Different_Email = iif(
(count(email) over (partition by Customer_Address) > 1,
1, 0)
from Customers;
But this is a lesson in why you wouldn't use an email as an identifier for a client. Address is a bad idea as well. Use something that won't change. That usually means making an internal identifier, such as something that auto-increments:
alter table #customers
add customerId int identity(1,1) primary key not null
Now customerId = 1 will always refer to that particular customer.
You can group by customer_address and check the count. This is by the assumption that each customer has one address.
Select * from table where
customer_address IN (
Select customer_address
From table group by customer_address
having count(distinct customer_email)
>1)
If I understand what you want to do, this is how I would solve it:
Note, you don't need the having clause in the CTE but depending on your data it could make it faster. (That is, if you have a large dataset.)
WITH email2addr
(
select email, count(distinct customer_address) as addr_cnt
from customers
group by email
having count(distinct customer_address) > 1
)
SELECT
Email
,BrandNewCustomer
,RecurringCustomer
,ReactivatedCustomer
,OrderCount
,TotalOrders
,Date_Created
,Customer_Name
,Customer_Address
,Customer_City
,Customer_State
,Customer_Zip
,Customer_Country
CASE when coalese(email2addr.addr_cnt,1) > 1 then 'Y' ELSE 'N' END as has_more_than_1_email
from customers
left join email2addr on customers.email = email2addr.email
I want to select the 'batchid's from below table that batchid's all records 'subId' and 'substatus' in '23' and 'READY' respectively. if any values from 'subId' or 'substatus' is not matched '23' and 'READY' respectively then don't take that batch.
Table:
+---------+----------+--------+-------+-----------+
| batchid | dcn | dcnseq | subId | substatus |
+---------+----------+--------+-------+-----------+
| 10001 | 10001001 | 1 | 23 | READY |
| 10001 | 10001001 | 2 | 23 | READY |
| 10001 | 10001002 | 1 | 23 | READY |
| 10001 | 10001003 | 1 | 23 | READY |
| 10001 | 10001004 | 1 | 23 | READY |
| 10001 | 10001004 | 2 | 23 | READY |
| 10001 | 10001004 | 3 | 23 | READY |
| 10002 | 10001005 | 1 | 23 | READY |
| 10002 | 10001005 | 2 | 23 | READY |
| 10002 | 10001006 | 1 | 23 | READY |
| 10002 | 10001007 | 1 | 23 | READY |
| 10002 | 10001008 | 1 | 23 | READY |
| 10002 | 10001008 | 2 | 23 | READY |
| 10002 | 10001009 | 1 | 23 | READY |
+---------+----------+--------+-------+-----------+
I am using below query to achieve this requirement.
select distinct batchid from fm o
where o.subId='23' and o.substatus='READY'
and o.dcnseq='1' and o.batchid in
(
select a.batchid from
(
select i.batchid, SUM(case when i.subId='23' and i.substatus='READY' then 0 else 1 end)match from fm i
where i.batchid=o.batchid
group by i.batchid
having SUM(case when i.subId='23' and i.substatus='READY' then 0 else 1 end)=0
)a
)
Result:
+---------+
| batchid |
+---------+
| 10001 |
| 10002 |
+---------+
It's working perfectly. Now changed 'substatus' value for one records as 'HOLD'
+---------+----------+--------+-------+-----------+
| batchid | dcn | dcnseq | subId | substatus |
+---------+----------+--------+-------+-----------+
| 10001 | 10001001 | 1 | 23 | HOLD |
| 10001 | 10001001 | 2 | 23 | READY |
| 10001 | 10001002 | 1 | 23 | READY |
| 10001 | 10001003 | 1 | 23 | READY |
| 10001 | 10001004 | 1 | 23 | READY |
| 10001 | 10001004 | 2 | 23 | READY |
| 10001 | 10001004 | 3 | 23 | READY |
| 10002 | 10001005 | 1 | 23 | READY |
| 10002 | 10001005 | 2 | 23 | READY |
| 10002 | 10001006 | 1 | 23 | READY |
| 10002 | 10001007 | 1 | 23 | READY |
| 10002 | 10001008 | 1 | 23 | READY |
| 10002 | 10001008 | 2 | 23 | READY |
| 10002 | 10001009 | 1 | 23 | READY |
+---------+----------+--------+-------+-----------+
Now result is:
+---------+
| batchid |
+---------+
| 10002 |
+---------+
Now its also working correctly. But sometimes also picking '10001' for same case. its occurred when tables have lot of batchid. I try to understand mistake. But I can't able to find out.
I think your query is too complicated. Just use aggregation and having:
select batchid
from fm
group by batchid
having min(subid) = max(subid) and max(subid) = 23 and
min(substatus) = max(substatus) and max(substatus)= 'READY';
I don't know if your other conditions are important. They are in your query but not mentioned in the question.
Selecting batchid's where (subid=23 and substatus = 'READY'), and no other values for subid and/or substatus exist for that batchid.
select batchid
from fm
where subId=23 and substatus='READY'
group by batchid
except
select batchid
from fm
where not(subId=23 and substatus='READY' )
group by batchid
The simplest solution is with NOT EXISTS:
select distinct f.batchid
from fm f
where not exists (
select 1 from fm
where batchid = f.batchid and (coalesce(subid, 0) <> 23 or coalesce(substatus, '') <> 'READY')
)
coalesce() is needed only for the case there may exist nulls in the columns subId and substatus.
If there are not any nulls then the where clause can be simplified to:
where batchid = f.batchid and (subid <> 23 or substatus <> 'READY')
See the demo.
Results:
> | batchid |
> | ------: |
> | 10001 |
> | 10002 |
so let me start will the basic table layout for all tables involved:
#zip_code_time_zone
+----+----------+-----------+
| id | zip_code | time_zone |
+----+----------+-----------+
| 1 | 00544 | -1 |
| 2 | 00601 | -3 |
| 3 | 00602 | 0 |
| 4 | 00603 | -3 |
| 5 | 00604 | 0 |
+----+----------+-----------+
#pricing_record
+------+---------------+--------------------+
| id | location_code | service_center_zip |
+------+---------------+--------------------+
| 7119 | TX725 | 79714 |
| 7121 | TX734 | 75409 |
| 7122 | TX737 | 78019 |
| 7124 | TX742 | 75241 |
| 7126 | TX751 | 77494 |
+------+---------------+--------------------+
#transaction_record
+----+-----------------+------------------+--------------+--------------+
| id | truck_stop_code | create_date | gps_verified | central_time |
+----+-----------------+------------------+--------------+--------------+
| 1 | CA428 | 05/01/2015 14:52 | 0 | NULL |
| 2 | CA343 | 05/01/2015 19:10 | 0 | NULL |
| 3 | CA223 | 05/01/2015 09:28 | 0 | NULL |
| 4 | CA721 | 05/01/2015 07:55 | 0 | NULL |
| 5 | MN336 | 05/01/2015 06:46 | 0 | NULL |
+----+-----------------+------------------+--------------+--------------+
When I was working on this project an issue was noticed with the create_date column in transaction_record. It needs to be converted to central time, so I wrote an update query, but I have been unable to successfully set the central_time column. My query is below:
query
UPDATE t
SET t.central_time = DATEADD(hour, z.time_zone,CONVERT(DATETIME, t.create_date, 120))
FROM eagle_devel.dbo.zip_code_time_zone z
INNER JOIN eagle_devel.dbo.pricing_record p ON z.zip_code = p.service_center_zip
INNER JOIN eagle_devel.dbo.transaction_record t ON t.truck_stop_code = p.location_code
This is what i get when I run the query
(0 row(s) affected)
NOTES
The time_zone column in #zip_code_time_zone is not the standard UTC it is the difference to calculate to central
I am still working on this as we speak, just looking for some extra assistance to see if someone else can fix it faster than myself.
Try like this instead with little changes, table you are updating should be in FROM clause and then adjust the JOIN accordingly
UPDATE t
SET t.central_time = DATEADD(hour, z.time_zone,CONVERT(DATETIME, t.create_date, 120))
FROM eagle_devel.dbo.transaction_record t
INNER JOIN eagle_devel.dbo.pricing_record p ON t.truck_stop_code = p.location_code
INNER JOIN eagle_devel.dbo.zip_code_time_zone z ON z.zip_code = p.service_center_zip
There are 3 Tables (SorMaster, SorDetail, and InvWarehouse):
SorMaster:
+------------+
| SalesOrder |
+------------+
| 100 |
| 101 |
| 102 |
+------------+
SorDetail:
+------------+------------+---------------+
| SalesOrder | MStockCode | MBackOrderQty |
+------------+------------+---------------+
| 100 | PN-1 | 4 |
| 100 | PN-2 | 9 |
| 100 | PN-3 | 1 |
| 100 | PN-4 | 6 |
| 101 | PN-1 | 6 |
| 101 | PN-3 | 2 |
| 102 | PN-2 | 19 |
| 102 | PN-3 | 14 |
| 102 | PN-4 | 6 |
| 102 | PN-5 | 4 |
+------------+------------+---------------+
InvWarehouse:
+------------+-----------+-----------+
| MStockCode | Warehouse | QtyOnHand |
+------------+-----------+-----------+
| PN-1 | A | 1 |
| PN-2 | B | 9 |
| PN-3 | A | 0 |
| PN-4 | B | 1 |
| PN-1 | A | 0 |
| PN-3 | B | 5 |
| PN-2 | A | 9 |
| PN-3 | B | 4 |
| PN-4 | A | 6 |
| PN-5 | B | 0 |
+------------+-----------+-----------+
Desired Results:
+------------+-----------------+--------------+
| MStockCode | SumBackOrderQty | SumQtyOnHand |
+------------+-----------------+--------------+
| PN-1 | 10 | 10 |
| PN-2 | 28 | 1 |
| PN-3 | 17 | 5 |
| PN-4 | 12 | 13 |
| PN-5 | 11 | 6 |
+------------+-----------------+--------------+
I have been going around in circles with no end in sight. Seems like it should be simple but just can't wrap my head around it. The SumBackOrderQty obviously getting counted twice as the SumQtyOnHand is evaluated. To this point I have been doing the calculations in the PHP instead of the select statement but would like to clean things up a bit where possible.
Current query statement is:
SELECT SorDetail.MStockCode,
SUM(SorDetail.MBackOrderQty) AS 'SumMBackOrderQty',
SUM(InvWarehouse.QtyOnHand) AS 'SumQtyOnHand'
FROM SysproCompanyJ.dbo.SorMaster SorMaster,
SysproCompanyJ.dbo.SorDetail SorDetail LEFT OUTER JOIN SysproCompanyJ.dbo.InvWarehouse InvWarehouse
ON SorDetail.MStockCode = InvWarehouse.StockCode
WHERE SorMaster.SalesOrder = SorDetail.SalesOrder
AND SorMaster.ActiveFlag != 'N'
AND SorDetail.MBackOrderQty > '0'
AND SorDetail.MPrice > '0'
GROUP BY SorDetail.MStockCode
ORDER BY SorDetail.MStockCode ASC
Without providing the complete picture, in terms of your RDBMS, database schema, a description of the problem you're trying to solve and sample data that matches the aforementioned, the following is just an illustration of what a solution based on Barmar's comment could look like:
SELECT SD.MStockCode,
SD.SumBackOrderQty,
IW.SumQtyOnHand
FROM (SELECT MStockCode,
SUM(MBackOrderQty) AS `SumBackOrderQty`
FROM SorDetail
JOIN SorMaster ON SorDetail.SalesOrder=SorMaster.SalesOrder
WHERE SorMaster.ActiveFlag != 'N'
AND SorDetail.MBackOrderQty > 0
AND SorDetail.MPrice > 0
GROUP BY MStockCode) AS SD
LEFT JOIN (SELECT MStockCode,
SUM(QtyOnHand) AS `SumQtyOnHand`
FROM InvWarehouse
GROUP BY MStockCode) AS IW ON SD.MStockCode=IW.MStockCode
ORDER BY SD.MStockCode;
Here's one approach:
select MStockCode,
(select sum(MBackOrderQty) from sorDetail as T2
where T2.MStockCode = T1.MStockCode ) as SumBackOrderQty,
(select sum(QtyOnHand) from invWarehouse as T3
where T3.MStockCode = T1.MStockCode ) as SumQtyOnHand
from
(
select mstockcode from sorDetail
union
select mstockcode from invWarehouse
) as T1
In a fiddle here: http://sqlfiddle.com/#!9/fdaca/6
Though my SumQtyOnHand values don't match yours (as #Gordon pointed out).