I am trying to create an expression in qlik sense to get the count the distinct number of ID's where each prod is added up and is greater than 0.
Qlik sense expression so far, but wrong:
sum(aggr(count (DISTINCT ID), PROD1 + PROD2 + PROD3 ))
I'm not too sure how to add to the expression where to add >0 and the year month.
Working sql:
select count(distinct ID) as Number
from tb1 x
where (x.Prod1 + x.Prod2 + x.Prod3)> 0
x.Year = '2016/05'
Any help would be great,
Thanks.
The easiest way is with an if statement, your code
select count(distinct ID) as Number
from tb1 x
where (x.Prod1 + x.Prod2 + x.Prod3)> 0
x.Year = '2016/05'
becomes
count (DISTINCT, if((PROD1 + PROD2 + PROD3)>0,ID)))
If you have a date field in your database, you'll need to create a YearMonth field from your date (Date(mydate, 'YYYYMM') as YearMonth) in the data model script and then put this in your expression:
count({<Prod1={'>0'}, Prod2={'>0'}, Prod3={'>0'}, YearMonth={'201605'}>}[distinct ID])
If your field Year in the database is already a yearmonth field, you can do this (but I recommend the first method):
count({<Prod1={'>0'}, Prod2={'>0'}, Prod3={'>0'}, Year={'2016/05'}>}[distinct ID])
You should read this help section from the Qlik site, it's about set analysis
in your script add the calc field:
rangesum(Prod1,Prod2,Prod3) as Prod_Total
"rangesum" also converts null to 0! if Prod1,Prod2 or Prod3 is null you will get 0 as a total.
In the chart use this calc:
count({<Prod_Total={'>0'}>} Distinct ID)
Related
I'm trying to produce a balance query. I have the following query below:
I would like to sum FunctAmt1 and FunctAmt2. (I had to use the cast function, as the data is varchar, and I needed to convert to number) SOLVED
I would then like to group by account number, so that I get one record per account. But when I group it errors at me. (With the below query I still see two multiple records per account, and not the total balance.
Any suggestions / support is greatly appreciated. thank you for help in solving point 1.
SELECT
[Company_number],
SC.[DESCRIPTION],
[account_number],
[account_description],
CAST([ACTL_FUNC_AMT] AS DEC(12,2)) + CAST([ACTL_BGNNG_MO_FUNC_AMT] AS DEC(12,2)) AS FunctAmt
FROM [balances]
JOIN [company_details] sc
ON [company_number] = [company_number]
WHERE [company_number] = '132' AND NOT CAST([ACTL_FUNC_AMT] AS DEC(12,2)) = 0 AND NOT CAST([ACTL_BGNNG_MO_FUNC_AMT] AS DEC(12,2)) = 0
GROUP BY [company_number],
SC.[DESCRIPTION],
[account_number],
[account_description],
[ACTL_FUNC_AMT],
[ACTL_BGNNG_MO_FUNC_AMT]
ORDER BY [account_number]
Without knowing what you've tried it's a little tough to say, but my guess is maybe you only added a group by account_number? You'll need to add the rest of the columns that aren't part of the aggregate. Is this what you're after?
SELECT
[Company_Number],
T2.[Company Description],
[Account_Number],
[Account_description],
SUM(CAST([ACTL_FUNC_AMT] AS DEC(12,2)) + CAST([ACTL_BGNNG_MO_FUNC_AMT] AS DEC(12,2))) AS FunctAmt
FROM [general_ledger_data]
JOIN [company_details] t2
ON [Company_Number] = [Company_Number1]
WHERE [Company_Number] = 'Comp1'
GROUP BY [Company_Number],
T2.[Company Description],
[Account_Number],
[Account_description]
ORDER BY [Account_Number]
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.
I have project on CRM which maintains product sales order for every organization.
I want to count everyday sold stock which I have managed to do by looping over by date but obviously it is a ridiculous method and taking more time and memory.
Please help me to find out it in single query. Is it possible?
Here is my database structure for your reference.
product : id (PK), name
organization : id (PK), name
sales_order : id (PK), product_id (FK), organization_id (FK), sold_stock, sold_date(epoch time)
Expected Output for selected month :
organization | product | day1_sold_stock | day2_sold_stock | ..... | day30_sold_stock
http://sqlfiddle.com/#!15/e1dc3/3
Create tablfunc :
CREATE EXTENSION IF NOT EXISTS tablefunc;
Query :
select "proId" as ProductId ,product_name as ProductName,organizationName as OrganizationName,
coalesce( "1-day",0) as "1-day" ,coalesce( "2-day",0) as "2-day" ,coalesce( "3-day",0) as "3-day" ,
coalesce( "4-day",0) as "4-day" ,coalesce( "5-day",0) as "5-day" ,coalesce( "6-day",0) as "6-day" ,
coalesce( "7-day",0) as "7-day" ,coalesce( "8-day",0) as "8-day" ,coalesce( "9-day",0) as "9-day" ,
coalesce("10-day",0) as "10-day" ,coalesce("11-day",0) as "11-day" ,coalesce("12-day",0) as "12-day" ,
coalesce("13-day",0) as "13-day" ,coalesce("14-day",0) as "14-day" ,coalesce("15-day",0) as"15-day" ,
coalesce("16-day",0) as "16-day" ,coalesce("17-day",0) as "17-day" ,coalesce("18-day",0) as "18-day" ,
coalesce("19-day",0) as "19-day" ,coalesce("20-day",0) as "20-day" ,coalesce("21-day",0) as"21-day" ,
coalesce("22-day",0) as "22-day" ,coalesce("23-day",0) as "23-day" ,coalesce("24-day",0) as "24-day" ,
coalesce("25-day",0) as "25-day" ,coalesce("26-day",0) as "26-day" ,coalesce("27-day",0) as"27-day" ,
coalesce("28-day",0) as "28-day" ,coalesce("29-day",0) as "29-day" ,coalesce("30-day",0) as "30-day" ,
coalesce("31-day",0) as"31-day"
from crosstab(
'select hist.product_id,pr.name,o.name,EXTRACT(day FROM TO_TIMESTAMP(hist.sold_date/1000)),sum(sold_stock)
from sales_order hist
left join product pr on pr.id = hist.product_id
left join organization o on o.id = hist.organization_id
where EXTRACT(MONTH FROM TO_TIMESTAMP(hist.sold_date/1000)) =5
and EXTRACT(YEAR FROM TO_TIMESTAMP(hist.sold_date/1000)) = 2017
group by hist.product_id,pr.name,EXTRACT(day FROM TO_TIMESTAMP(hist.sold_date/1000)),o.name
order by o.name,pr.name',
'select d from generate_series(1,31) d')
as ("proId" int ,product_name text,organizationName text,
"1-day" float,"2-day" float,"3-day" float,"4-day" float,"5-day" float,"6-day" float
,"7-day" float,"8-day" float,"9-day" float,"10-day" float,"11-day" float,"12-day" float,"13-day" float,"14-day" float,"15-day" float,"16-day" float,"17-day" float
,"18-day" float,"19-day" float,"20-day" float,"21-day" float,"22-day" float,"23-day" float,"24-day" float,"25-day" float,"26-day" float,"27-day" float,"28-day" float,
"29-day" float,"30-day" float,"31-day" float);
Please note, use PostgreSQL Crosstab Query. I have used coalesce for handling null values(Crosstab Query to show "0" when there is null data to return).
Following query will help to find the same:
select o.name,
p.name,
sum(case when extract (day from to_timestamp(sold_date))=1 then sold_stock else 0 end)day1_sold_stock,
sum(case when extract (day from to_timestamp(sold_date))=2 then sold_stock else 0 end)day2_sold_stock,
sum(case when extract (day from to_timestamp(sold_date))=3 then sold_stock else 0 end)day3_sold_stock,
from sales_order so,
organization o,
product p
where so.organization_id=o.id
and so.product_id=p.id
group by o.name,
p.name;
I just provided logic to find for 3 days, you can implement the same for rest of the days.
basically first do basic joins on id, and then check if each date(after converting epoch to timestamp and then extract day).
You have a few options here but it is important to understand the limitations first.
The big limitation is that the planner needs to know the record size before the planning stage, so this has to be explicitly defined, not dynamically defined. There are various ways of getting around this. At the end of the day, you are probably going to have somethign like Bavesh's answer, but there are some tools that may help.
Secondly, you may want to aggregate by date in a simple query joining the three tables and then pivot.
For the second approach, you could:
You could do a simple query and then pull the data into Excel or similar and create a pivot table there. This is probably the easiest solution.
You could use the tablefunc extension to create the crosstab for you.
Then we get to the first problem which is that if you are always doing 30 days, then it is easy if tedious. But if you want to do every day for a month, you run into the row length problem. Here what you can do is create a dynamic query in a function (pl/pgsql) and return a refcursor. In this case the actual planning takes place in the function and the planner doesn't need to worry about it on the outer level. Then you call FETCH on the output.
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
I'm trying to avoid using straight up SQL in my Rails app, but need to do a quite large version of this:
SELECT ds.product_id,
( SELECT SUM(units) FROM daily_sales WHERE (date BETWEEN '2015-01-01' AND '2015-01-08') AND service_type = 1 ) as wk1,
( SELECT SUM(units) FROM daily_sales WHERE (date BETWEEN '2015-01-09' AND '2015-01-16') AND service_type = 1 ) as wk2
FROM daily_sales as ds group by ds.product_id
I'm sure it can be done, but i'm struggling to write this as an active record statement. Can anyone help?
If you must do this in a single query, you'll need to write some SQL for the CASE statements. The following is what you need:
ranges = [ # ordered array of all your date-ranges
Date.new(2015, 1, 1)..Date.new(2015, 1, 8),
Date.new(2015, 1, 9)..Date.new(2015, 1, 16)
]
overall_range = (ranges.first.min)..(ranges.last.max)
grouping_sub_str = \
ranges.map.with_index do |range, i|
"WHEN (date BETWEEN '#{range.min}' AND '#{range.max}') THEN 'week#{i}'"
end.join(' ')
grouping_condition = "CASE #{grouping_sub_str} END"
grouping_columns = ['product_id', grouping_condition]
DailySale.where(date: overall_range).group(grouping_columns).sum(:units)
That will produce a hash with array keys and numeric values. A key will be of the form [product_id, 'week1'] and the value will be the corresponding sum of units for that week.
Simplify your SQL to the following and try converting it..
SELECT ds.product_id,
, SUM(CASE WHEN date BETWEEN '2015-01-01' AND '2015-01-08' AND service_type = 1
THEN units
END) WK1
, SUM(CASE WHEN date BETWEEN '2015-01-09' AND '2015-01-16' AND service_type = 1
THEN units
END) WK2
FROM daily_sales as ds
group by ds.product_id
Every rail developer sooner or later hits his/her head against the walls of Active Record query interface just to find the solution in Arel.
Arel gives you the flexibility that you need in creating your query without using loops, etc. I am not going to give runnable code rather some hints how to do it yourself:
We are going to use arel_tables to create our query. For a model called for example Product, getting the Arel table is as easy as products = Product.arel_table
Getting sum of a column is like daily_sales.project(daily_sales[:units].count).where(daily_sales[:date].gt(BEGIN_DATE).where(daily_sales[:date].lt(END_DATE). You can chain as many wheres as you want and it will be translated into SQL ANDs.
Since we need to have multiple sums in our end result you need to make use of Common Table Expressions(CTE). Take a look at docs and this answer for more info on this.
You can use those CTEs from step 3 in combination with group and you are done!