I have the following problem.
The correct values should be like this:
The 9/13 data should have the orig_target_qty - sum(of 9/13/ exec_qty)
I want the difference between the 700,000 - sum of the total in the left box. I am partitioning the values by the ticker but the addition of 700k + 100k - sum (of exec qty) should give me the correct result but for some reason I am getting the value short 100k because of the previous set of records that have 100k.
Any thoughts on why I'm doing this wrong? I have syntax wrong somewhere.
Related
I have query where I SUM times by group
SELECT category,
SEC_TO_TIME(SUM(TIME_TO_SEC(TIMEDIFF(ter_ura_zakljucek, ter_ura_zacetek)))) AS total_time
GROUP_BY 'category'
This seems to work fine on smaller amount of data, but when I execute it on larger amount of rows it seems it always stops at total_time = 838:59:59
Is there some limitation in SQL at amount of times you can sum up?
The range for TIME-datatype is '-838:59:59.999999' to '838:59:59.999999'. See the documentation.
To handle larger time values you have to covert it to something else depending on your need.
I've created a query that I'm hoping to use to fill a table with daily budgets at the end of every day. To do this, I just need some simple maths:
monthly budget / number of days left in the month.
Then, at the end of the month, I can SUM all of the rows to calculate an accurate budget.
The query is as follows:
SELECT *,
ROUND(SAFE_DIVIDE(budget, DATETIME_DIFF(CURRENT_DATE(), LAST_DAY(CURRENT_DATE()), DAY)),2) AS daily_budget
FROM `mm-demo-project.marketing_hub.budget_manager`
When executing the query, my results present as negative numbers, which according to the documentation for this function, is likely caused by the result overflowing the result type.
View the results of the query.
I've made a fools guess at rounding the calculation. Needless to say that it did not work at all.
How can I stop my query from returning negative number?
use below
SELECT *,
ROUND(SAFE_DIVIDE(budget, DATETIME_DIFF(LAST_DAY(CURRENT_DATE()), CURRENT_DATE(), DAY)),2) AS daily_budget
FROM `mm-demo-project.marketing_hub.budget_manager`
In my SQL course I'm trying to answer a problem in which i'm being asked to find X% of a Total then subtracting that result from the original total to produce another result. Then putting these results (the X% of the total and the total-X% of total) in two new columns.
Example: We need to know how much money we owe Tom and Ted. We have total up sales to $1,000,000.00. We owe Tom 75% of that total. The remainder goes to Ted.
I can't seem to find anything in my readings/videos about this nor a google search that isn't an answers that produces ratios or comparing to other records in the table. Also, not sure about how to get the results into their own columns. Thanks for any advice!
Example of what I got so far:
SELECT SUM(Sale_Amount) From Order_Table
Now I have to find the % of that SUM then subtract it from the SUM and push both results to two new columns, one for the percent of the SUM(Sale_Amount) and one for the remainder.
Given it's an SQL course (and it's not 100% clear what's being asked), I'm not going to give you the total answer, but I'll give you components but you'll need to understand them to put them together.
In SQL, you can
Get totals using SUM and GROUP BY
Do normal maths e.g., SELECT 10000 * 60/100 to get percentages of totals
'Save' results by a) having columns/fields to save them in, and b) UPDATE those fields with relevant data
Note if you're not saving data, and simply reporting them, you can just add those to a SELECT statement e.g., SELECT 100000 AS Total, 100000 * 0.75 AS Toms_Share, 100000 * 0.25 AS Teds_Share.
In my table I have 3 colmuns
T1 T2 T3
I want to average the time in all 3.
My query in design view is set as follows:
Score: Avg([swim]+[bike]+[run])
In total, I have it done as an expression.
When I run the query an example result shows as: 8.81406810035843E-02
Any ideas how I can get it to show the average time over all 3 correctly?
I have also changed the format to hh:nn:ss - The results looks better but not correct
I hope you are looking for this
Score: Avg(([swim]+[bike]+[run])/3)
Using the Avg() funciton, you are making average of every time in column. Adding them together, the resulting time is too huge to show for access. When you average something in one row, you have to add it up and then divide by number of each member.
Im trying to create a daily calculation in my Cube or an MDX statement that will do a calculation daily and roll up to any dimension. I've been able to successfully get the values back, however the performance is not what I think it should be.
My fact table will have 4 dimensions 1 of which being daily date (time). I have a formula that uses 4 other measures in this fact table and those need to be calculated daily and then geometrically linked across the time dimension.
The following MDX statement works great and produces the correct value but it is very slow. I have tried using exp(sum(log+1))-1 and multiply seems to perform a little better but not good enough. Is there another approach to this solution or is there something wrong with my MDX statement?
I have tried defining aggregations For [Calendar_Date] and [Dim_Y].[Y ID], but it does not seem to use these aggregations.
WITH
MEMBER Measures.MyCustomCalc AS (
(
Measures.x -Measures.y
) -
(
Measures.z - Measures.j
)
)
/
Measures.x
MEMBER Measures.LinkedCalc AS ASSP.MULTIPLY(
[Dim_Date].[Calendar Date].Members,
Measures.MyCustomCalc + 1
) - 1
SELECT
Measures.LinkedCalc ON Columns,
[Dim_Y].[Y ID].Members ON Rows
FROM
[My DB]
The above query takes 7 seconds to run w/ the following number of records:
Measure: 98,160 records
Dim_Date: 5,479 records
Dim_Y: 42 records
We have assumed that by defining an aggregation that the amount of calculations we'd be performing would only be 42 * number of days, in this case a maximum of 5479 records.
Any help or suggestions would be greatly appreciated!