How to using subquery values in arithmetic operations - sql

My manager wants to see what is total values of our suppliers shipments, and what is the total values of their invoices recorded. So he can see the differencies and want from suppliers to unsended invoices.
Here is my code.
It is working on accounting table and shipment detail table.
fis_meblag0 is always little from zero because it is 320 account so I mutiply it -1 for get real value.
sth_tutar is value of shipment, sth_vergi is VAT and so the sum of them is equal to sum of total with VAT.
Now the hard part.
Manager wants to diference between them in a other column and also sort the valuez z to a.
I know I can reuse same subselect for the getting totals but I want to know that can I achieve this without using the same subquery again.
I mean in first subselect I have the total, in last column I only need just the total, can I use total without compute it again?
Regards
select
ch.cari_kod as Carikod,
ch.cari_unvan1 as Unvani,
(select (sum(mf.fis_meblag0) * -1)
from dbo.MUHASEBE_FISLERI mf
where (mf.fis_tarih > '20141231' and mf.fis_tarih < '20150201')
and mf.fis_hesap_kod = ch.cari_kod
and mf.fis_meblag0 < 0) as mtoplam,
(Select sum (sth.sth_tutar + sth.sth_vergi)
from dbo.STOK_HAREKETLERI sth
where (sth.sth_tarih > '20141231' and sth.sth_tarih < '20150201')
and sth.sth_cari_kodu = ch.cari_kod
and sth.sth_normal_iade = 0
and sth.sth_tip = 0) as stoplam
from
dbo.CARI_HESAPLAR ch
where
ch.cari_kod like '320%'

try this query:
select Carikod, Unvani, mtoplam, stoplam, mtoplam - stoplam as Grand_total
from
(
-- your full query here
) T

Related

Divide by zero error when using >, < or <> in Where statement. No division operator involved

I have two CTEs using the same table which holds receipts. Receipt type "a" says how much is billed and may or may not have an amount received. Receipt type "b"s have how much was received if it was received outside of the original receipt. These are matched up by mnth, cusnbr and job. Also on the receipt is how much is allocated for different expenses on the receipt.
I am trying to total up peoples hours if the receipt has been paid at least 99%. These records are based on cusnbr, jobnbr and mnth also. The code below works fine.
with billed as(Select cusnbr
,job
,mnth
,sum(bill_item_1) as 'Billed Item'
,sum(billed) as 'Billed'
From accounting
Where mytype in ('a','b')
Group by cusnbr
,job
,mnth)
paid as(Select cusnbr
,job
,mnth
,sum(rcpt_item_1) as 'Rcpt Item'
,sum(billed) as 'Paid'
From accounting
Where mytype in ('a','b')
Group by cusnbr
,job
,mnth)
Select b.cusnbr
,b.job
,b.mnth
,sum(g.hours) as 'Total Hours'
,b.[Billed Item]
,p.[Rcpt Item]
From billed b inner join paid p
on b.cusnbr = p.cusnbr
and b.job = p.job
and b.mnth = p.mnth
inner join guys g
on b.cusnbr = g.cusnbr
and b.job = g.job
and b.mnth = g.mnth
Where p.[Paid]/b.Billed > .99
The issue I'm having is if I try to add
and b.[Billed Item] <> 0
To the where clause.
I get "Divide by zero error encountered"
I have tried making the last query a CTE with
case when b.[Billed Item] = 0 then 1 else 0 end as flag
and then making another query which checks that flag <> 0
I have tried using isnull(b.[Billed Item],0) in the last query as well as isnull(bill_item_1,0) in the first CTE.
I can get around this issue by dumping the whole thing into a temp table and querying that, but just want to know why this is happening. Using ">","<" or "<>" against b.[Billed Item] results in a divide by zero error.
Use nullif():
Where p.[Paid] / nullif(b.Billed, 0) > 0.99
This will return null -- which does not meet the condition. You can also phrase this more simply without division as:
where p.paid > b.billed * 0.99
I can't answer you question specifically, but I can tell you that SQL does not process all commands if it does not need to. For example,
SELECT COUNT(1/0)
Happily returns 1. So it is quite possible the order of the conditions cause the optimizer to filter out an uncessary division by zero condition.

Calculated column syntax when using a group by function Teradata

I'm trying to include a column calculated as a % of OTYPE.
IE
Order type | Status | volume of orders at each status | % of all orders at this status
SELECT
T.OTYPE,
STATUS_CD,
COUNT(STATUS_CD) AS STATVOL,
(STATVOL / COUNT(ROW_ID)) * 100
FROM Database.S_ORDER O
LEFT JOIN /* Finding definitions for status codes & attaching */
(
SELECT
ROW_ID AS TYPEJOIN,
"NAME" AS OTYPE
FROM database.S_ORDER_TYPE
) T
ON T.TYPEJOIN = ORDER_TYPE_ID
GROUP BY (T.OTYPE, STATUS_CD)
/*Excludes pending and pending online orders */
WHERE CAST(CREATED AS DATE) = '2018/09/21' AND STATUS_CD <> 'Pending'
AND STATUS_CD <> 'Pending-Online'
ORDER BY T.OTYPE, STATUS_CD DESC
OTYPE STATUS_CD STATVOL TOTALPERC
Add New Service Provisioning 2,740 100
Add New Service In-transit 13 100
Add New Service Error - Provisioning 568 100
Add New Service Error - Integration 1 100
Add New Service Complete 14,387 100
Current output just puts 100 at every line, need it to be a % of total orders
Could anyone help out a Teradata & SQL student?
The complication making this difficult is my understanding of the group by and count syntax is tenuous. It took some fiddling to get it displayed as I have it, I'm not sure how to introduce a calculated column within this combo.
Thanks in advance
There are a couple of places the total could be done, but this is the way I would do it. I also cleaned up your other sub query which was not required, and changed the date to a non-ambiguous format (change it back if it cases an issue in Teradata)
SELECT
T."NAME" as OTYPE,
STATUS_CD,
COUNT(STATUS_CD) AS STATVOL,
COUNT(STATUS_CD)*100/TotalVol as Pct
FROM database.S_ORDER O
LEFT JOIN EDWPRDR_VW40_SBLCPY.S_ORDER_TYPE T on T.ROW_ID = ORDER_TYPE_ID
cross join (select count(*) as TotalVol from database.S_ORDER) Tot
GROUP BY T."NAME", STATUS_CD, TotalVol
WHERE CAST(CREATED AS DATE) = '2018-09-21' AND STATUS_CD <> 'Pending' AND STATUS_CD <> 'Pending-Online'
ORDER BY T."NAME", STATUS_CD DESC
A where clause comes before a group by clause, so the query
shown in the question isn't valid.
Always prefix every column reference with the relevant table alias, below I have assumed that where you did not use the alias that it belongs to the orders table.
You probably do not need a subquery for this left join. While there are times when a subquery is needed or good for performance, this does not appear to be the case here.
Most modern SQL compliant databases provide "window functions", and Teradata does do this. They are extremely useful, and here when you combine count() with an over clause you can get the total of all rows without needing another subquery or join.
Because there is neither sample data nor expected result provided with the question I do not actually know which numbers you really need for your percentage calculation. Instead I have opted to show you different ways to count so that you can choose the right ones. I suspect you are getting 100 for each row because the count(status_cd) is equal to the count(row_id). You need to count status_cd differently to how you count row_id. nb: The count() function increases by 1 for every non-null value
I changed the way your date filter is applied. It is not efficient to change data on every row to suit constants in a where clause. Leave the data untouched and alter the way you apply the filter to suit the data, this is almost always more efficient (search sargable)
SELECT
t.OTYPE
, o.STATUS_CD
, COUNT(o.STATUS_CD) count_status
, COUNT(t.ROW_ID count_row_id
, count(t.row_id) over() count_row_id_over
FROM dbo.S_ORDER o
LEFT JOIN dbo.S_ORDER_TYPE t ON t.TYPEJOIN = o.ORDER_TYPE_ID
/*Excludes pending and pending online orders */
WHERE o.CREATED >= '2018-09-21' AND o.CREATED < '2018-09-22'
AND o.STATUS_CD <> 'Pending'
AND o.STATUS_CD <> 'Pending-Online'
GROUP BY
t.OTYPE
, o.STATUS_CD
ORDER BY
t.OTYPE
, o.STATUS_CD DESC
As #TomC already noted, there's no need for the join to a Derived Table. The simplest way to get the percentage is based on a Group Sum. I also changed the date to an Standard SQL Date Literal and moved the where before group by.
SELECT
t."NAME",
o.STATUS_CD,
Count(o.STATUS_CD) AS STATVOL,
-- rule of thumb: multiply first then divide, otherwise you will get unexpected results
-- (Teradata rounds after each calculation)
100.00 * STATVOL / Sum(STATVOL) Over ()
FROM database.S_ORDER AS O
/* Finding definitions for status codes & attaching */
LEFT JOIN database.S_ORDER_TYPE AS t
ON t.ROW_ID = o.ORDER_TYPE_ID
/*Excludes pending and pending online orders */
-- if o.CREATED is a Timestamp there's no need to apply the CAST
WHERE Cast(o.CREATED AS DATE) = DATE '2018-09-21'
AND o.STATUS_CD NOT IN ('Pending', 'Pending-Online')
GROUP BY (T.OTYPE, o.STATUS_CD)
ORDER BY T.OTYPE, o.STATUS_CD DESC
Btw, you probably don't need an Outer Join, Inner should return the same result.

How to use SUM in this situation?

I have the following tables below and their schema:
INV
id, product code, name, ucost, tcost, desc, type, qoh
1,123,CPASS 700,1.00,5.00,CPASS 700 Lorem, COM,5
2,456,Shelf 5,2.00,6.00,Shelf 5 KJ, BR,3
GRP
id,type,desc
1,COM,COMPASS
2,BR,SHELF
Currently I have a query like this:
SELECT INV.*,GRP.DESCR AS CATEGORY
FROM INV LEFT JOIN GRP ON INV.TYPE = GRP.TYPE
WHERE INV.QOH = 0
There is no problems with that query.
Right now,I want to know the SUM of the TCOST of every INV record where their QOH is 0.
In this situation, does that I mean all I have to do is to write a separate query like the one below:
SELECT SUM(TCOST)
FROM INV
WHERE QOH = 0
Does it make any sense for me to try and combine those two queries as one ?
First understand that SUM is the aggregate function hence either you can run the Query like
(SELECT SUM(TCOST) FROM INV WHERE QOH=0) as total
This will return Sum of TCOST in INV Table for mentioned condition.
Another approach is finding the Sum based on the some column (e.g. Type)
you could write query like
SELECT Type , SUM(TCOST) FROM INV WHERE QOH=0 GROUP BY type ;
Its not clear on what criteria you want to sum . But I think above two approaches would provide you fare idea .
Mmm, you could maybe use a correlated query, though i'm not sure it's the best approach since I'm not sure I understand what your attempting to do:
SELECT INV.*,
GRP.DESCR AS CATEGORY ,
(SELECT SUM(TCOST) FROM INV WHERE QOH=0) as your_sum
FROM INV LEFT JOIN GRP ON INV.TYPE = GRP.TYPE
WHERE INV.QOH = 0
If you want only one value for the sum(), then your query is fine. If you want a new column with the sum, then use window functions:
SELECT INV.*, GRP.DESCR AS CATEGORY,
SUM(INV.TCOST) OVER () as sum_at_zero
FROM INV LEFT JOIN
GRP
ON INV.TYPE = GRP.TYPE
WHERE INV.QOH = 0;
It does not make sense to combine the queries by adding a row to the first one, because the columns are very different. A SQL result set requires that all rows have the same columns.

Access SQL query - Percentage of Total calculation

In Access SQL, I am attempting what should seem like a simple task in attaining a percentage of total. There are 3 item stores (Sears, kmart & Mktpl) of which in any given week, I wish to calculate their respective percent of total based on balance of sales (all can be obtained using one table - tbl_BUChannelReporting).
For example week 5 dummy numbers - Sears 7000, kmart 2500, mktpl 2000
the following ratios would be returned: sears 61%, kmart 22%, mktpl 17%
I was originally trying to create a sub query and wasn't getting anywhere so I am essentially trying to sum sales on one of the item stores in week 5 divided by the sum of all 3 item store sales in week 5. The following is my query, which is giving me "cannot have aggregate function in expression" error:
SELECT FY, FW, Rept_Chnl, BU_NM, Order_Store, Item_Store, CDBL(
SUM(IIF([item_store]="sears", revenue, IIF([item_store]="kmart", revenue, IIF([item_store]="mktpl", revenue,0)))) /
(SUM(IIF([item_store]="sears",revenue,0)+SUM(IIF([item_store]="kmart",revenue,0)+SUM(IIF([item_store]="mktpl",revenue,0))))))
AS Ratios
FROM tbl_BUChannelReporting
WHERE FY = "2017"
AND FW = 5
GROUP BY FY, FW, Rept_Chnl, BU_NM, Order_Store, item_store
Thanks all in advance for taking the time. This is my 1st post here and I don't consider myself anything but a newbie anxious to learn from the best and see how this turns out.
Take care!
-D
Consider using two derived tables or saved aggregate queries: one that groups on Item_Store and the other that does not include Item_Store in order to sum the total stores' revenue. All other groupings (FY, FW, Rept_Chnl, BU_NM, Order_Store) remain in both and used to join the two. Then in outer query, calculate percentage ratio.
SELECT i.*, CDbl(i.Store_Revenue / a.Store_Revenue) As Ratios
FROM
(SELECT t.FY, t.FW, t.Rept_Chnl, t.BU_NM, t.Order_Store, t.Item_Store,
SUM(t.Revenue) As Store_Revenue
FROM tbl_BUChannelReporting t
WHERE t.FY = '2017' AND t.FW = 5
GROUP BY t.FY, t.FW, t.Rept_Chnl, t.BU_NM, t.Order_Store, t.Item_Store) As i
INNER JOIN
(SELECT t.FY, t.FW, t.Rept_Chnl, t.BU_NM, t.Order_Store
SUM(t.Revenue) As Store_Revenue
FROM tbl_BUChannelReporting t
WHERE t.FY = '2017' AND t.FW = 5
GROUP BY t.FY, t.FW, t.Rept_Chnl, t.BU_NM, t.Order_Store) As a
ON i.FY = a.FY AND i.FW = a.FW AND i.Rept_Chnl = a.Rept_Chnl
AND i.BU_NM = a.BU_NM AND i.Order_Store = a.Order_Store
Or save each above SELECT statement as its own query and reference both below:
SELECT i.*, (i.Store_Revenue / a.Store_Revenue) As Ratios
FROM
Indiv_Item_StoreAggQ As i
INNER JOIN
All_Item_StoreAggQ As a
ON i.FY = a.FY AND i.FW = a.FW AND i.Rept_Chnl = a.Rept_Chnl
AND i.BU_NM = a.BU_NM AND i.Order_Store = a.Order_Store

SQL Filtering duplicate rows due to bad ETL

The database is Postgres but any SQL logic should help.
I am retrieving the set of sales quotations that contain a given product within the bill of materials. I'm doing that in two steps: step 1, retrieve all DISTINCT quote numbers which contain a given product (by product number).
The second step, retrieve the full quote, with all products listed for each unique quote number.
So far, so good. Now the tough bit. Some rows are duplicates, some are not. Those that are duplicates (quote number & quote version & line number) might or might not have maintenance on them. I want to pick the row that has maintenance greater than 0. The duplicate rows I want to exclude are those that have a 0 maintenance. The problem is that some rows, which have no duplicates, have 0 maintenance, so I can't just filter on maintenance.
To make this exciting, the database holds quotes over 20+ years. And the data scientists guys have just admitted that maybe the ETL process has some bugs...
--- step 0
--- cleanup the workspace
SET CLIENT_ENCODING TO 'UTF8';
DROP TABLE IF EXISTS product_quotes;
--- step 1
--- get list of Product Quotes
CREATE TEMPORARY TABLE product_quotes AS (
SELECT DISTINCT master_quote_number
FROM w_quote_line_d
WHERE item_number IN ( << model numbers >> )
);
--- step 2
--- Now join on that list
SELECT
d.quote_line_number,
d.item_number,
d.item_description,
d.item_quantity,
d.unit_of_measure,
f.ref_list_price_amount,
f.quote_amount_entered,
f.negtd_discount,
--- need to calculate discount rate based on list price and negtd discount (%)
CASE
WHEN ref_list_price_amount > 0
THEN 100 - (ref_list_price_amount + negtd_discount) / ref_list_price_amount *100
ELSE 0
END AS discount_percent,
f.warranty_months,
f.master_quote_number,
f.quote_version_number,
f.maintenance_months,
f.territory_wid,
f.district_wid,
f.sales_rep_wid,
f.sales_organization_wid,
f.install_at_customer_wid,
f.ship_to_customer_wid,
f.bill_to_customer_wid,
f.sold_to_customer_wid,
d.net_value,
d.deal_score,
f.transaction_date,
f.reporting_date
FROM w_quote_line_d d
INNER JOIN product_quotes pq ON (pq.master_quote_number = d.master_quote_number)
INNER JOIN w_quote_f f ON
(f.quote_line_number = d.quote_line_number
AND f.master_quote_number = d.master_quote_number
AND f.quote_version_number = d.quote_version_number)
WHERE d.net_value >= 0 AND item_quantity > 0
ORDER BY f.master_quote_number, f.quote_version_number, d.quote_line_number
The logic to filter the duplicate rows is like this:
For each master_quote_number / version_number pair, check to see if there are duplicate line numbers. If so, pick the one with maintenance > 0.
Even in a CASE statement, I'm not sure how to write that.
Thoughts? The database is Postgres but any SQL logic should help.
I think you will want to use Window Functions. They are, in a word, awesome.
Here is a query that would "dedupe" based on your criteria:
select *
from (
select
* -- simplifying here to show the important parts
,row_number() over (
partition by master_quote_number, version_number
order by maintenance desc) as seqnum
from w_quote_line_d d
inner join product_quotes pq
on (pq.master_quote_number = d.master_quote_number)
inner join w_quote_f f
on (f.quote_line_number = d.quote_line_number
and f.master_quote_number = d.master_quote_number
and f.quote_version_number = d.quote_version_number)
) x
where seqnum = 1
The use of row_number() and the chosen partition by and order by criteria guarantee that only ONE row for each combination of quote_number/version_number will get the value of 1, and it will be the one with the highest value in maintenance (if your colleagues are right, there would only be one with a value > 0 anyway).
Can you do something like...
select
*
from
w_quote_line_d d
inner join
(
select
...
,max(maintenance)
from
w_quote_line_d
group by
...
) d1
on
d1.id = d.id
and d1.maintenance = d.maintenance;
Am I understanding your problem correctly?
Edit: Forgot the group by!
I'm not sure, but maybe you could Group By all other columns and use MAX(Maintenance) to get only the greatest.
What do you think?