This is how my report looks like now :
I'd like the Quantity summed up for each Product , similar to how we do it in a SQL query :
select product_id ,sum(quantity) from my_table group by product_id;
This is the desired output :
product
quantity
Aluminuim
204
Bois
216
Dynamo Bicyclette
36
Guidon Bicyclette
12
Necklace string
5,530
Another option is to simply insert a CrossTab. Use the Product as the row element and Quantity as the metric to sum.
Related
I'm having the following select:
SELECT t.groupid,
yk.short_name AS kind,
yg.short_name,
COALESCE(p.price, 0::numeric) AS price,
p.changed_by_username,
p.changed_date,
p.market_id
FROM prices p
RIGHT JOIN ( SELECT pos.supply_item_output_group_id AS groupid,
pos.credit_item_output_kind_id AS kindid
FROM optimization_standards pos
UNION
SELECT pos2.output_group_id,
pos2.output_kind_id
FROM optimization_standards pos2) t ON p.output_kind_id = t.kindid AND p.output_group_id = t.groupid
JOIN output_kinds yk ON yk.output_kind_id = p.output_kind_id
JOIN output_group yg ON yg.output_group_id = p.output_group_id
GROUP BY t.groupid, yk.short_name, yg.short_name, p.price, p.changed_by_username, p.changed_date, p.market_id
ORDER BY t.groupid;
that produces the following result:
groupid
kind
short_name
price
changed_by_username
changed_date
market_id
1001
Prime
shrt_1001
1.3777
1
1001
Prime
shrt_1001
1.3777
2
1001
Filata
shrt_1001
2.3123
1
1001
Filata
shrt_1001
2.3123
2
And I want to use crosstab function in order to produce a result like the following:
groupid kind short_name
price_market_us
changed_by_username_us
changed_date_us
price_market_eu
changed_by_username_eu
changed_date_eu
1001 - Prime - shrt_1001
1.3777
1.3777
1001 - Filata -shrt_1001
2.3123
2.3123
Basically I want to group the data based on markets and create the pivot table by joining data from the markets.
Will it be possible taking into consideration that I don't have a surogate key just a composite key (groupid and kindid). Should I transform the price table into a new one that has the information needed based on merging rows based in market. How the merge could be done? Should I create a view instead of using crosstab.
I new to cross_tab function and my use case seems a little complex for cross_tab.
Thank you in advance for your help,
I have the following problem.
I need all the products in a table and at the same time put the sum of the quantities sold of each product.
I need to see each product in the product table with the total sum of sales, according to the date range.
If there is no sales record in that range, it must be zero.
My query is as follows, but it doesn't work.
Product Table : sto_producto
Product sales movement table: sto_movdet
SELECT
sto_producto.pro_codprod AS cod_product,
sto_producto.pro_desc AS name_product,
sum(sto_movdet.mvd_cant) AS total_sale,
AVG(sto_movdet.mvd_costo) AS cost_product_sale
FROM sto_producto
INNER JOIN sto_movdet ON (sto_producto.pro_codprod = sto_movdet.mvd_codprod)
WHERE mvd_fecha BETWEEN '2020301' and '20200716'
GROUP BY pro_codprod, pro_desc
I expect a result similar to
cod_product name_product total_sale cost_product_sale
0004 mousered 45 $ 2.355
0071 pc laptop 0 $ 1.000
I'm trying to solve this problem:
I have a query/view that will join ~10 tables to extract some fields for a report (if any). The query doesn't use any grouping function, only joins and cut off some unuseful data.
I have to take this one big view, get the group for the first index, take the max of a date in the second column and take all the information from other fields referring the record of the max value.
I cannot be able to to this in postgres.
As a pseudo code I can give this:
select 1
, max(2)
, 3 referred to the record from max(2)
, 4 referred to the record from max(2)
, ...
, 20 referred to the record from max(2)
from (ViewWithAllJoins) a
group by 1
For privacy and business problem I had to obfuscate some informations, 1/2/3/4... are the name of the column from the view "ViewWithAllJoins", I hope that the problem is still understandable and resolvable!
I've tryied with WINDOW command as reported in Convert keep dense_rank from Oracle query into postgres but I cannot be able to use the group by that I need. Other tryes that I've done was about the dense_rank like shown in Dense_rank first Oracle to Postgresql convert but I can't do any assumption on the order of the data in any of the other fields in exception of 1 and 2, so I can't use any of the aggregate function on them.
Any ideas? Possibly without adding too much subqueryes.
Thank you!
EDIT:
As suggested I'll add some synthetic data to better understand the problem and what I want.
Start:
ID DATE COLUMN1 COLUMN2 COLUMN3
=====================================================================
88888888;"2016-04-02 09:00:00";"aaaaaaaaaaa";"TEXT89" ; 999999999
88888888;"2018-08-21 09:00:00";"a" ;"TEXT1" ; 988888888
88888888;"2017-11-09 09:00:00";"zzzz" ;"TEXT80000" ; 850580582
75858585;"2017-01-31 09:00:00";"~~~~~~~~~~~";"TEXT10" ; 101010101
75858585;"2018-04-02 09:00:00";"eeeeeeeeeee";"TEXT1000" ; 111111111
99999999;"2016-04-02 09:00:00";"8d2ecafd866";"TEXT808911"; 777777777
What I want:
ID DATE COLUMN1 COLUMN2 COLUMN3
===================================================================
88888888;"2018-08-21 09:00:00";"a" ;"TEXT1" ; 988888888
75858585;"2018-04-02 09:00:00";"eeeeeeeeeee";"TEXT1000" ; 111111111
99999999;"2016-04-02 09:00:00";"8d2ecafd866";"TEXT808911"; 777777777
So the group by id, the max of the date and the other fields related to the row of the max date.
-- So you have duplicate records per ID, and for every ID you want to select the record with the most recent date ?
Use NOT EXISTS:
SELECT id,zdate,column1,column2,column3 -- , ...
FROM queryview t
WHERE NOT EXISTS (
SELECT *
FROM queryview x
WHERE x.id=t.id
AND x.zdate > t.zdate
);
Or, use row_number() over a window, and pick only the row with the final date:
SELECT id,zdate,column1,column2,column3 -- , ...
FROM ( SELECT *
, row_number() OVER(PARTITION BY id, ORDER BY zdate DESC) AS rn
FROM queryview
) q
WHERE q.rn = 1
;
I have a dataset for each record it has a CompanyID, RevenueMonth, RevenueYear, Revenue
When I create the report, I am grouping each CompanyID and showing their monthly revenue for a given year.
But in a given year, not all companies have any revenues for a particular month.
Example:
A sample record would look like:
CompanyID, RevenueMonth, RevenueYear, Revenue
1,05,2013,5.00
1,08,2013,6.00
1,03,2013,3.00
End Result, I would like my report to look like this with CompanyID 1.
Company ID|01|02|03|04|05|06|07|08|09|10|11|12
1 0.00|0.00|3.00|0.00|5.00|0.00|0.00|6.00|0.00|0.00|0.00|0.00
In my current Report, it will only fill column headings with March (03), May (05) and August (08).
Company ID|03|05|08
1 3.00|5.00|6.00
How do I get my Report to add the missing months for the year?
I hope my questions is clear.
Database level
Since you're only returning a year at a time, you can create a calendar table and add this to your result set:
Keeping it as simple as possible, with the date table coming from a CTE:
with months as -- get required year/months
(
select RevenueYear = 2013
, RevenueMonth = 1
union all
select RevenueYear = 2013
, RevenueMonth = RevenueMonth + 1
from months
where RevenueMonth < 12
)
select CompanyID = coalesce(r.CompanyID, c.companyID)
, RevenueMonth = coalesce(r.RevenueMonth, m.RevenueMonth)
, RevenueYear = coalesce(r.RevenueYear, m.RevenueYear)
, Revenue = isnull(r.Revenue, 0.0)
from months m
cross join (select distinct CompanyID from records) c -- make sure all companies included
left join records r on m.RevenueYear = r.RevenueYear
and m.RevenueMonth = r.RevenueMonth
SQL Fiddle with demo.
This will return a year/month for each company in the result set.
In the long run it would be better to move from a CTE to a permanent calendar table in the database.
You can then implement this in the report using a matrix style tablix.
Report level
If you'd prefer to do this at the report level, you can set up a table-style tablix with 12 permanent columns, one for each month, then populate the month revenue cells with expressions like:
=Sum(IIf(Fields!RevenueMonth.Value = 2, Fields!Revenue.Value, Nothing)
For the February column.
This would work with your existing dataset without any database code changes.
I want to get grouped data from a table in sqlite. For example, the table is like below:
Name Group Price
a 1 10
b 1 9
c 1 10
d 2 11
e 2 10
f 3 12
g 3 10
h 1 11
Now I want get all data grouped by the Group column, each group in one array, namely
array1 = {{a,1,10},{b,1,9},{c,1,10},{h,1,11}};
array2 = {{d,2,11},{e,2,10}};
array3 = {{f,3,12},{g,3,10}}.
Because i need these 2 dimension arrays to populate the grouped table view. the sql statement maybe NSString *sql = #"SELECT * FROM table GROUP BY Group"; But I wonder how to get the data from the resultset. I am using the FMDB.
Any help is appreciated.
Get the data from sql with a normal SELECT statement, ordered by group and name:
SELECT * FROM table ORDER BY group, name;
Then in code, build your arrays, switching to fill the next array when the group id changes.
Let me clear about GroupBy. You can group data but that time its require group function on other columns.
e.g. Table has list of students in which there are gender group mean Male & Female group so we can group this table by Gender which will return two set . Now we need to perform some operation on result column.
e.g. Maximum marks or Average marks of each group
In your case you want to group but what kind of operation you require on price column ?.
e.g. below query will return group with max price.
SELECT Group,MAX(Price) AS MaxPriceByEachGroup FROM TABLE GROUP BY(group)