I have a dataset as given in the link, DataSet
I want to segregate the column "order_item_unit_status" as separate column and bring respective transaction amount for the same. Desired output is given below.
Objective is to consolidate the txn_amt into respective categories and group them based on txn_date_key. (Basically pivoting based on order_item_unit_status column and bringing txn_amt respectively.)
I used the below code,
Select *, CASE WHEN order_item_unit_status ='DELIVERED'
THEN txn_amt ELSE 0 END as DELIVERED,
CASE WHEN order_item_unit_status ='RETURNED'
THEN txn_amt ELSE 0 END as RETURNED
from sales
Got output as referred in the link Output
The output is not grouping based on txn_date_key and multiple line items found. If i use GROUP BY txn_date_key an error is thrown.
Also I was informed that server is supported by HiveSQL and does not support of using ":", date time, and temp tables can not be created. I'm currently stuck on how to go about given the constraints.
Help would be much appreciated
You have to use your columns in the group by:
EDIT: also SUM() added for the correct output...
Select *,
SUM(CASE WHEN order_item_unit_status ='DELIVERED'
THEN txn_amt ELSE 0 END) as DELIVERED,
SUM(CASE WHEN order_item_unit_status ='RETURNED'
THEN txn_amt ELSE 0 END) as RETURNED
from sales
group by txn_amt,txn_date_key,order_item_unit_status
In hivesql you can use from_unixtime command
Unixtime
All columns which are not aggregated and selected shold be in group by.
This query produces result you need:
Select txn_date_key,
sum(CASE WHEN order_item_unit_status ='DELIVERED'
THEN txn_amt ELSE 0 END) as DELIVERED,
sum(CASE WHEN order_item_unit_status ='RETURNED'
THEN txn_amt ELSE 0 END) as RETURNED
from sales
group by txn_date_key
Result:
txn_date_key delivered returned
20190701 3200 0
20210631 0 3000
Related
I had this query select
sum(CASE WHEN kpi.average >= temp.average THEN 1 ELSE 0 END) AS recordOrder,
which worked fine, but I had to change it to this
sum(CASE WHEN sum(kpi.averageUse) / sum(kpi.averageTotal) >= temp.average THEN 1 ELSE 0 END) AS recordOrder,
These queries have to get number of rows, where some value (average) is greater than average from TEMP table. But in the second query I have more accurate data (weighted average).
but I am getting error
1111 invalid use of group function
Any ideas how to write SUM in CASE in SUM?
Thanks!
This code is just non-sensical because you have nested sum functions:
sum(CASE WHEN sum(kpi.averageUse) / sum(kpi.averageTotal) >= temp.average THEN 1 ELSE 0 END) AS recordOrder,
Without seeing your larger query, it is not possible to know what you really intend. But I would speculate that you don't want the internal sum()s:
sum(CASE WHEN (skpi.averageUse / kpi.averageTotal) >= temp.average THEN 1 ELSE 0 END) AS recordOrder,
I have this query
SELECT mylearning.Employee_Id,
case
when max(case when not mylearning.CourseStatusTXT = 'Completed' then 1 else 0 end) = 0 then '2018 Complete'
when max(case when mylearning.CourseStatusTXT in ('Started', 'Not Started') then 1 else 0 end) = 1 then '2018 Not Complete'
end as Completion_Status
FROM Analytics.myLearning_Completions as mylearning inner join Analytics.Workday WD on mylearning.Employee_ID = WD.Employee_ID
And I want to add a condition to the first when statement to make it like this
when max(case when not mylearning.CourseStatusTXT = 'Completed' then 1 else 0 end) = 0
and WD.Adjusted_Hire_Date like '2019% '
and mylearning.CourseTimeCompletedH < cast (WD.Adjusted_Hire_Date as date format 'YYYY/MM/DD') +7
then '2018 Complete'
but I keep getting this error
Executed as Single statement. Failed [3504 : HY000] Selected non-aggregate values must be part of the associated group.
Elapsed time = 00:00:00.069
How can I fix it?
Like a couple others mentioned, you are trying to mix grouped data with non-aggregated data in your calculation, which is why you're getting the 3504 error. You need to either include the referenced columns in your GROUP BY or include them inside an aggregate function (i.e. MAX).
I'm not 100% sure if this is what you're after, but hopefully it can help you along.
SELECT
mylearning.Employee_Id,
CASE
WHEN
MAX(CASE WHEN NOT mylearning.CourseStatusTXT = 'Completed' THEN 1 ELSE 0 END) = 0 AND
WD.Adjusted_Hire_Date like '2019% ' AND
-- Check if most recently completed course is before Hire (Date + 1 week)
MAX(mylearning.CourseTimeCompletedH) <
CAST(WD.Adjusted_Hire_Date AS DATE FORMAT 'YYYY/MM/DD') + 7
THEN '2018 Complete' -- No incomplete learnings
WHEN MAX(
CASE WHEN mylearning.CourseStatusTXT IN ('Started', 'Not Started') THEN 1 ELSE 0 END
) = 1 THEN '2018 Not Complete' -- Started / Not Started learnings exist
END AS Completion_Status
FROM Analytics.myLearning_Completions as mylearning -- Get learning info
INNER JOIN Analytics.Workday WD on mylearning.Employee_ID = WD.Employee_ID -- Employee info
GROUP BY mylearning.Employee_Id, WD.Adjusted_Hire_Date
This will give you a summary per employee, with a couple assumptions:
Assuming employee_ID value in Analytics.Workday is a unique value (one-to-one join), to use WD.Adjusted_Hire_Date in your comparisons, you just need to include it in the GROUP BY.
Assuming you have multiple courses per employee_Id, in order to use mylearning.CourseTimeCompletedH in your comparisons, you'd need to wrap that in an aggregate like MAX.
The caveat here is that the query will check if the most recently completed course per employee is before the "hire_date" expression, so I'm not sure if that's what you're after.
Give it a try and let me know.
The issue here is that you are mixing detail row by row information in the same query as group or aggregated data. Aggregated data will output a single value for all the rows unless you have a group by clause. If you have a group by clause then it will output a single value for each group. When you are grouping you can also include any values that are in the group by clause since they will be unique for the group.
if you want this data for each employee, then you could group by employee_id. Any other data would need to also be an aggregate like Max(Adjusted_Hire_Date)
Maybe this is what you want?
SELECT
mylearning.employee_id
, case
when CourseStatusTXT = 'Completed' and WD.Adjusted_Hire_Date like '2019%'
and mylearning.CourseTimeCompletedH < cast (WD.Adjusted_Hire_Date as date format 'YYYY/MM/DD') +7
then '2018 Complete'
else '2018 Not Complete'
end CompletionStatus
FROM myLearning_Completions mylearning, Workday WD
WHERE mylearning.employee_id = WD.employee_id
I have a table of invoices and Record_Types that I need to reconcile to open invoice report. I have the process down and know what I need to do. Just dont know how to properly structure the query and would prefer to not create 3 tables.
Record Types.
Invoice = 1 Credit = 5 Payment = 7
Invoice_Number, Record_Type, Dollar figure
Outstanding_Balance = Invoice(1) -(Payment(7)-(Credit))
Invoice_number Record_type Gen_Numeric_3
Basically I need to take the record_Type 1 and subtract the total of record type 7's from the below.
Invoice_Num Rec_Type Dollar_Amt
00820437 1 536.7700000000
00820437 7 469.6200000000
00820437 7 67.1500000000
Any advice would be great. messer
You can do this with aggregation and case statements:
SELECT invoice_num,
SUM(CASE WHEN rec_type = 1 THEN dollar_amt ELSE 0 END) - (SUM(CASE WHEN rec_type=7 THEN dollar_amt ELSE 0 END) - SUM(CASE WHEN rec_type=5 THEN dollar_amt ELSE 0 END)) as outstanding_balance
FROM yourtable
GROUP BY invoice_num
i have table named source table with data like this :
And i want to do query that subtract row with status plus and minus to be like this group by product name :
How to do that in SQL query? thanks!
Group by the product and then use a conditional SUM()
select product,
sum(case when status = 'plus' then total else 0 end) -
sum(case when status = 'minus' then total else 0 end) as total,
sum(case when status = 'plus' then amount else 0 end) -
sum(case when status = 'minus' then amount else 0 end) as amount
from your_table
group by product
There is another method using join, which works for the particular data you have provided (which has one "plus" and one "minus" row per product):
select tplus.product, (tplus.total - tminus.total) as total,
(tplus.amount - tminus.amount) as amount
from t tplus join
t tminus
on tplus.product = tminus.product and
tplus.status = 'plus' and
tplus.status = 'minus';
Both this and the aggregation query work well for the data you have provided. In other words, there are multiple ways to solve this problem (each has its strengths).
you can query as below:
select product , sum (case when [status] = 'minus' then -Total else Total end) as Total
, sum (case when [status] = 'minus' then -Amount else Amount end) as SumAmount
from yourproduct
group by product
In a single table I have 3 columns. First defines a sector, second count and third amount. I need to extract 5 columns of data in the following manner. First column sector. Second and third to contains the values were amount is less than count and third and four to display were amount is more than count in the specific sectors. How should my query look?
Sample Data - 4 row data for sector one.
1,23,44
1,20,15
1,50,45
1,30,20
Result should be
1,100,80,23,44
You can get it done using a GROUP BY and SUM() aggregate function along with CASE statement like
SELECT sector,
SUM(case when count > amount then count else 0 end) as count1,
SUM(case when amount < count then amount else 0 end) as amount1,
SUM(case when count < amount then count else 0 end) as count2,
SUM(case when amount > count then amount else 0 end) as amount2
FROM mytable
GROUP BY sector;