This seems very easy query but can't translate it into laravel query. I have table orders there are two columns total_usd and total_gbp. I want to sum each column to get total of usd and total of gbp on the page.
This query is working in phpmyadmin and I got correct result
SELECT sum(order_total_usd) as usd, sum(order_total_gbp) as gbp FROM `orders`
In laravel I've tried this
$sumOrders = Order::select('sum(order_total_gbp) as gbp, sum(order_total_usd) as usd');
when I dd($sumOrders) I've one really huge output which almost cause browser to freeze.
Where is my mistake here?
You can try something like this
$sumOrders = Order::select( \DB::raw("sum(order_total_gbp) as gbp"), \DB::raw("sum(order_total_usd) as usd"))->get();
You can use selectRaw
$sumOrders = Order::selectRaw('sum(order_total_gbp) as gbp, sum(order_total_usd) as usd');
Except for one missed word, your code is OK. Add "Raw" after "select" as shown:
$sumOrders =
Order::selectRaw(
'sum(order_total_gbp) as gbp,
sum(order_total_usd) as usd'
);
Just replace "Order::select(...)" with Order::selectRaw(...).
Have a great day!
Related
I am trying to get a subtotal in MDX on a separate column. Example below:
This is what I current have:
Table
This is what I am looking for:
Looking for this
If someone could please help me?
Currently this is the code I am using: (I ALSO HAVE A SALES PER HOUR COLUMN WHICH I FORGOT TO ADD IN THE IMAGE)
WITH
MEMBER [MEASURES].[SALES PER HOUR] AS [Measures].[Sales Amount]/[Measures].[Hours]
MEMBER [MEASURES].[SUBTOTAL_Sales] AS
([EMPLOYEE].[EMPLOYEE].CurrentMember.Parent,
[Location].[Location].CurrentMember.Parent,
[Measures].[Sales Amount])
SELECT
NON EMPTY
{
([MEASURES].[SALES HOUR]),
([Measures].[Sales Amount]),
([MEASURES].[SUBTOTAL])
} ON COLUMNS
,
NON EMPTY
{
([DATE].[YEAR].[2022],
[EMPLOYEE].[EMPLOYEE].[EMPLOYEE],
[LOCATION].[LOCATION].[Location])
} ON ROWS
FROM [CUBE]
With the above MDX code, I am getting the Employee Sales for every single Location in the business eve when its a NULL. Not sure why
Could someone please help
I have to extract the rows where the created_at is inside the week. Unfortunately, only one line is extracted from me and no more lines as I expected. Why?
Query:
$scadenze = DB::table('processi')
->leftJoin('scadenze', 'processi.id', '=', 'scadenze.processo_id')
->where('responsabile',$utente->id)
->whereNotIn('scadenze.stato', [4,5])
->whereBetween('scadenze.termine_stimato',[\Carbon::now()->startOfWeek(), Carbon::now()->endOfWeek()])
->avg('tempistica');
This query extract just one row, but in reality many more lines should be extracted.
Because ->avg('tempistica'); return average value from all your rows in this query, i.e. return just one value.
Solution:
I was wrong to use the avg with sum function. The rows were extracted correctly but instead of being added (by timing) an average was made. Thank you all for your help.
I have two tables (models have the same name as the tables):
StatusNames: id|name
and
CurrentUserStatus: id|user_id|status_id
At the moment CurrentUserStatus is empty, and StatusNames have several records inserted (Active, Inactive, On Pause, Terminated...).
I need to get all data from CurrentUserStatus and show how much are there within each status (given the current tables, next to each status name there should be zero (0)).
Is this possible to do with one query?
So whatever I assumed you can do something like this:
$dataset = CurrentUserStatus::whereHas('status')
->with('status')
->withCount('status')
->orderBy('status_count', 'dsc')
->get();
Hope this helps.
In Excel I could, if I was in a table called 'Sales' that had four columns
Sales
Month, CustomerId, ProductId, TotalQuantity
Jan,1, CAR,
Feb,1, CAR,
I could add a formula:
=SUMIFS(Sales[Quantity],Sales[CustomerId],[#[CustomerId]])
That would go to the Sales table and sum the CustomerID column filtered by the CustomerID of the current row where the formula has been entered.
I am attempted to replicate this in a PowerBI Calculated Row but I can't get the # working for a row reference. It comes across like
TotalQuantity = CALCULATE(SUM(Sales[Quantity]),Sales[CustomerId] = Sales[CustomerId]))
Any idea how to get the equivalent # working?
I think the key function you are missing is EARLIER. That is not surprising because it has a misleading name - it really means "Current Row". You also need a FILTER function in the Filter parameter of CALCULATE, to reset the filter context to the entire table.
So your New Column function might look like this:
TotalQuantity = CALCULATE(SUM(Sales[Quantity]), FILTER(Sales, Sales[CustomerId] = EARLIER (Sales[CustomerId])))
Here's a neat example, from the most accessible source site for DAX formulas:
http://www.powerpivotpro.com/2013/07/writing-a-subtotal-calc-column-aka-the-simplest-use-of-the-earlier-function/
And FWIW here is the official doco on EARLIER:
https://msdn.microsoft.com/en-us/library/ee634551.aspx
This is too tough for me guys. It's for Jeremy!
I have two tables (although I can also envision needing to join a third table) and I want to sum one field and count rows, in the same, table while joining with another table and return the result in json format.
First of all, the data type field that needs to be summed, is numeric(10,2) and the data is inserted as params['amount'].to_f.
The tables are expense_projects which has the name of the project and the company id and expense_items which has the company_id, item and amount (to mention just the critical columns) - the "company_id" columns are disambiguated.
So, the following code:
expense_items = DB[:expense_projects].left_join(:expense_items, :expense_project_id => :project_id).where(:project_company_id => company_id).to_a.to_json
works fine but when I add
expense_total = expense_items.sum(:amount).to_f.to_json
I get an error message which says
TypeError - no implicit conversion of Symbol into Integer:
so, the first question is why and how can this be fixed?
Then I want to join the two tables and get all the project names form the left (first table) and sum amount and count items in the second table. I have tried
DB[:expense_projects].left_join(:expense_items, :expense_items_company_id => expense_projects_company_id).count(:item).sum(:amount).to_json
and variations of this, all of which fails.
I would like a result which gets all the project names (even if there are no expense entries and returns something like:
project item_count item_amount
pr 1 7 34.87
pr 2 0 0
and so on. How can this be achieved with one query returning the result in json format?
Many thanks, guys.
Figured it out, I hope this helps somebody else:
DB[:expense_projects___p].where(:project_company_id=>user_company_id).
left_join(:expense_items___i, :expense_project_id=>:project_id).
select_group(:p__project_name).
select_more{count(:i__item_id)}.
select_more{sum(:i__amount)}.to_a.to_json