I have a query that retrieves from a customer:
sum of time expent on his tickets (every ticket can have 1 or more interventions)
average resolution time
category of each ticket
The query:
SELECT SUM(f.duree) as total_time, SUM(timestampdiff(second, t.datec, t.date_close))/COUNT(distinct t.rowid) as average_resolution, COUNT(distinct t.rowid) as tickets,
SUM( CASE t.category_code WHEN 'WITHOUT_MAINTENANCE' THEN 1 ELSE 0 END) as sin_mantenimiento,
SUM( CASE t.category_code WHEN 'WITH_MAINTENANCE' THEN 1 ELSE 0 END) as con_mantenimiento,
SUM( CASE t.category_code WHEN 'WITH_BILLABLE_MAINTENANCE' THEN 1 ELSE 0 END) as con_mantenimiento_facturable,
SUM( CASE t.category_code WHEN 'NO_BILLABLE_COASER_WARRANTY' THEN 1 ELSE 0 END) as no_facturable_garantia_coaser,
SUM( CASE t.category_code WHEN 'OFERTADO' THEN 1 ELSE 0 END) as ofertado
FROM llx_ticketsup as t
JOIN llx_element_element as ee on ee.fk_source = t.rowid
JOIN llx_fichinter as f on f.rowid = ee.fk_target
WHERE t.fk_soc = 47 AND t.fk_statut = 8
where
llx_ticketsup is main tickets table
llx_fichinter is table where interventions from tickets are stored
llx_element_element is table between tickets and interventions
My problem is, if one ticket has more than 1 intervention, on sum of category types to know how many are from this category and how many from the other, it sums interventions instead tickets. For example, if query returns 2 tickets and they have a total of 6 interventions, it returns 6 tickets of category WITHOUT_MAINTENANCE, instead 2 tickets of category WITHOUT_MAINTENANCE.
Whats wrong? Thanks.
Nothings 'wrong' that's expected behaviour try using a sub query to get the duration. Something like
SELECT (select sum(f.duree) from llx_fichinter as f on f.rowid = ee.fk_target) as total_time, SUM(timestampdiff(second, t.datec, t.date_close))/COUNT(distinct t.rowid) as average_resolution, COUNT(distinct t.rowid) as tickets,
SUM( CASE t.category_code WHEN 'WITHOUT_MAINTENANCE' THEN 1 ELSE 0 END) as sin_mantenimiento,
SUM( CASE t.category_code WHEN 'WITH_MAINTENANCE' THEN 1 ELSE 0 END) as con_mantenimiento,
SUM( CASE t.category_code WHEN 'WITH_BILLABLE_MAINTENANCE' THEN 1 ELSE 0 END) as con_mantenimiento_facturable,
SUM( CASE t.category_code WHEN 'NO_BILLABLE_COASER_WARRANTY' THEN 1 ELSE 0 END) as no_facturable_garantia_coaser,
SUM( CASE t.category_code WHEN 'OFERTADO' THEN 1 ELSE 0 END) as ofertado
FROM llx_ticketsup as t
JOIN llx_element_element as ee on ee.fk_source = t.rowid
WHERE t.fk_soc = 47 AND t.fk_statut = 8
If that doesn't work add sample data and expected result to the question as text so we can play with it.
Related
Im trying to write a query that returns a count depending on the value of a feedback field that ranges from 0-5 (0 meaning that it was not rated).
I want:
Count of all rows ( anything rated 1 or greater)
Count of all rows rated as 1 (anything = 1)
And all rows rated as 1 and also is the first iteration of a given task (anything rated =1 and iteration = 0)
I have written this query but I am getting the same value for all counts:
select
DATE_FORMAT(created_at,'%M') as Month,
COUNT(CASE WHEN rate > 0 THEN 1 ELSE 0 END) AS total,
COUNT(CASE WHEN rate = 1 THEN 1 ELSE 0 END) AS Rated_1,
COUNT(CASE WHEN client_feedback = 1 AND index = 0 THEN 1 ELSE 0 END) AS first_iteration_rated_1
from tablexxx
where created_at between date('2022-04-01') and date('2022-10-01')
GROUP BY Month
Try to use SUM() instead of COUNT().
Count() will count up regardless of the value being 0 or 1.
you can have two approaches:
method 1: use NULL in else part of the CASE
select
DATE_FORMAT(created_at,'%M') as Month,
COUNT(CASE WHEN rate > 0 THEN 1 ELSE null END) AS total,
COUNT(CASE WHEN rate = 1 THEN 1 ELSE null END) AS Rated_1,
COUNT(CASE WHEN client_feedback = 1 AND index = 0 THEN 1 ELSE null END) AS first_iteration_rated_1
from tablexxx
where created_at between date('2022-04-01') and date('2022-10-01')
GROUP BY Month
method 2: use sum instead of count
select
DATE_FORMAT(created_at,'%M') as Month,
SUM(CASE WHEN rate > 0 THEN 1 ELSE 0 END) AS total,
SUM(CASE WHEN rate = 1 THEN 1 ELSE 0 END) AS Rated_1,
SUM(CASE WHEN client_feedback = 1 AND index = 0 THEN 1 ELSE 0 END) AS first_iteration_rated_1
from tablexxx
where created_at between date('2022-04-01') and date('2022-10-01')
GROUP BY Month
We have a table with data from different nodes and one of the column will have status report as "compliant or non-compliant", sample data as below
I want to filter the table in such a way that if any of the checks on a node shows non compliant, it should be flagged as non-compliant and rest as compliant. Using below query i am able to do it
SELECT COUNT(*) AS total_nodes,
SUM(fully_compliant = 0) AS Non_compliant_nodes,
SUM(fully_compliant = 1) AS compliant_nodes
FROM (
SELECT Node, CASE WHEN SUM(Status = 'Compliant') = COUNT(*) THEN 1 ELSE 0 END AS fully_compliant
FROM your_table GROUP BY Node
)
Now, i want to group and split the result by dept as below, how can i achieve this
I think you're looking for this:
select dept,
count(*) as total_nodes,
sum(case when non_compliant_chk = 0 then 1 else 0 end) as compliant_nodes,
sum(case when non_compliant_chk > 0 then 1 else 0 end) as non_compliant_nodes
from (
select dept,
node,
sum(case when 'Non-Compliant' then 1 else 0 end) as non_compliant_chk
from your_table
group by dept,
node
) v
group by dept;
With few modifications to what Brian suggested, I am able to get the desired result
select dept,
count(*) as total_nodes,
sum(case when non_compliant_chk = 0 then 1 else 0 end) as compliant_nodes,
sum(case when non_compliant_chk > 0 then 1 else 0 end) as non_compliant_nodes
from (
select dept,
node,
COUNT(CASE WHEN Compliance-Status = 'Non-Compliant' THEN 1 END) 'non_compliant_chk'
from table WHERE DOR >= DATE(NOW()) - INTERVAL 7 DAY
group by Dept,
Node
) v
group by Dept;
I have two different query in HP ALM, but i want to merge and get it into one. I am not that good in SQL query so I am facing hard time in merging the query.
Query 1: Getting the execution Count for the tester
Select
TESTCYCL.TC_ACTUAL_TESTER as 'Tester',
sum(case when TC_Status In('Blocked','Passed','Failed','Not Completed') then 1 else 0 end) as 'Total',
sum(case when TC_Status = 'Passed' then 1 else 0 end) as 'Pass',
sum(case when TC_Status = 'Failed' then 1 else 0 end) as 'Fail',
sum(case when TC_Status = 'Blocked' then 1 else 0 end) as 'Blocked',
sum(case when TC_Status In('Not Completed','Defferred','N/A') then 1 else 0 end) as 'Others'
From TESTCYCL
Where
TESTCYCL.TC_EXEC_DATE = CAST(CURRENT_TIMESTAMP AS DATE)
And
TESTCYCL.TC_ACTUAL_TESTER in ('Username1')
Group by TC_ACTUAL_TESTER
Query 2: Getting the Defect raise by the tester
SELECT
BG_DETECTED_BY,
Sum(case when BG_Status Not in ('Closed','Defect Resolved','Rejected')then 1 else 0 end) as 'Defect Raised'
FROM BUG
Where BUG.BG_DETECTED_BY in ('username1')
AND BUG.BG_DETECTION_DATE = CAST(CURRENT_TIMESTAMP AS DATE)
Group by BG_DETECTED_BY
I have tried inner join/ Left Join but the count of the defect raised by the user is not matching
Query3 : That i have tried:
Select
TESTCYCL.TC_ACTUAL_TESTER as 'Tester',
sum(case when TC_Status In('Blocked','Passed','Failed','Not Completed') then 1 else 0 end) as 'Total',
sum(case when TC_Status = 'Passed' then 1 else 0 end) as 'Pass',
sum(case when TC_Status = 'Failed' then 1 else 0 end) as 'Fail',
sum(case when TC_Status = 'Blocked' then 1 else 0 end) as 'Blocked',
sum(case when TC_Status In('Not Completed','Defferred','N/A') then 1 else 0 end) as 'Others',
Sum(case when BG_Status Not in ('Closed','Defect Resolved','Rejected')then 1 else 0 end) as 'Defect Raised'
From TESTCYCL
Left Join BUG
on TESTCYCL.TC_ACTUAL_TESTER = BUG.BG_DETECTED_BY
AND BUG.BG_DETECTION_DATE = CAST(CURRENT_TIMESTAMP AS DATE)
Where TESTCYCL.TC_EXEC_DATE = CAST(CURRENT_TIMESTAMP AS DATE)
And TESTCYCL.TC_ACTUAL_TESTER in ('username1')
Group by TC_ACTUAL_TESTER
Out is mentioned as below:
Expected Output:
Tester Total Execution Passed Failed ... Defect Raised
A 5 3 2 10
Actual Output:
Tester Total Execution Passed Failed ... Defect Raised
A 56 3 2 45
The problem is you are doing the COUNT() over the product cartesian. instead of concatenating the result.
Right now you are doing
COUNT(A*B) instead of COUNT(A) || COUNT(B)
general example, if you have two queries
SELECT * FROM A (ex: 10 rows)
SELECT * FROM B (ex: 10 rows)
What you need is:
SELECT temp1.*, temp2.*
FROM (SELECT * FROM A) as temp1
JOIN (SELECT * FROM B) as temp2
ON temp1.ID = temp2.ID
I need to tabulate the data from three tables for a report. Please see this query
SELECT
DATE( sale.sale_time ) AS dat,
location.location_name as location,
sale.sale_id AS total_orders,
SUM( CASE sale.is_cancelled WHEN 0 THEN sale.sale_amount ELSE 0 END ) AS sales,
SUM( CASE sale.is_cancelled WHEN 0 THEN sale.sale_discount ELSE 0 END ) AS discounts,
SUM( CASE sale.is_cancelled WHEN 0 THEN sale.sale_tax ELSE 0 END ) AS taxes,
COUNT( DISTINCT sale.customer_id ) AS total_customers,
SUM( CASE WHEN DATE( person.added_on ) = DATE( sale.sale_time ) THEN 1 ELSE 0 END ) AS new_customers,
SUM( CASE sale.is_cancelled WHEN 1 THEN 1 ELSE 0 END ) AS cancelled_orders
FROM
sales AS sale
INNER JOIN locations AS location ON location.location_id = sale.location_id
INNER JOIN people AS person ON person.person_id = sale.customer_id
GROUP BY
dat,location
The results for new_customers is showing wrong, often more than total_customers. Where is it wrong, and how to correct this?
The results are like this:
dat location total_orders sales discounts taxes new_customers total_customers cancelled_orders
15-03-14 Location1 52 1355 0 129.04 4 2 0
16-03-14 Location1 56 280 0 30 2 1 0
16-03-14 Location2 59 2518 0 212.2 3 6 2
As you might have guessed from the query, sales table has the columns sale_id,sale_time,sale_cost,sale_discount,sale_tax,sale_amount, is_cancelled (tinyint with values 0 or 1), and customer_id
People table has the columns person_id, first_name, added_on
By comparing the date(salessale_time) to date(person.added_on), I want to list customers added on that date
I modified the query to the following to get new customers also in the result set.
SELECT DATE(sale.sale_time) AS dat, location.location_name as location, (sale.sale_id) AS total_orders,
SUM(CASE sale.is_cancelled WHEN 0 THEN sale.sale_amount ELSE 0 END) AS sales,
SUM(CASE sale.is_cancelled WHEN 0 THEN sale.sale_discount ELSE 0 END) AS discounts,
SUM(CASE sale.is_cancelled WHEN 0 THEN sale.sale_tax ELSE 0 END) AS taxes,
count(distinct(sale.customer_id)) AS total_customers,
(select count(person_id) from people where date(added_on) = date(sale.sale_time) and person_id = sale.customer_id) as new_customers,
SUM(CASE sale.is_cancelled WHEN 1 THEN 1 ELSE 0 END) AS cancelled_orders
FROM sales AS sale
INNER JOIN locations AS location ON location.location_id = sale.location_id
GROUP BY dat,location;
I am using SUM ( CASE WHEN ) to count number of Yes and No, it work fine.
I am havin problem counting number of matching mobile number from two tables. It dont seem to be counting correctly.
There is a MobileNO field in dairy table and mobile field in the sales table
SELECT
D.Username,
SUM(CASE WHEN D.type = 'Yes' THEN 1 ELSE 0 END) as Yes,
SUM(CASE WHEN D.type = 'No' THEN 1 ELSE 0 END) as No,
SUM(CASE WHEN D.type = '' THEN 1 ELSE 0 END) as Other,
(SELECT SUM(CASE WHEN D.MobileNo = S.mobile THEN 1 ELSE 0 END) from sales as S) as Sales,
COUNT(*) as TOTAL FROM dairy as D
WHERE source = 'Company' AND UNIX_TIMESTAMP(CheckDate) >= 1293840000 AND UNIX_TIMESTAMP(CheckDate) <= 1322697600
group by D.Username order by TOTAL DESC
SELECT
D.Username,
SUM(CASE WHEN D.type = 'Yes' THEN 1 ELSE 0 END) as Yes,
SUM(CASE WHEN D.type = 'No' THEN 1 ELSE 0 END) as No,
SUM(CASE WHEN D.type = '' THEN 1 ELSE 0 END) as Other,
SUM(CASE WHEN S.mobile IS NULL THEN 0 ELSE 1 END) as Sales,
COUNT(*) as TOTAL
FROM dairy as D
LEFT JOIN (SELECT DISTINCT mobile FROM sales) as S ON D.MobileNo = S.mobile
WHERE source = 'Company' AND UNIX_TIMESTAMP(CheckDate) >= 1293840000 AND UNIX_TIMESTAMP(CheckDate) <= 1322697600
group by D.Username order by TOTAL DESC