Before anyone comments, I did not design this database with comma separated values :)
I have spent time trying to find the answer but all I could find was GROUP_CONCAT() which seemed to do the opposite of what I wanted.
I would like to GROUP BY each of the values within the comma separated value field.
SELECT round(avg(DATEDIFF( dateClosed , dateAded ) * 1.0), 2) AS avg, department
FROM tickets GROUP BY assignedto
the assignedto field is the comma separated value field
row1 54,69,555
row2 54,75,555
row3 75,555
DESIRED OUTPUT: an average rounded figure for each value in assignedto field grouped.
EDIT - TRYING TO TAKE THIS TO THE NEXT LEVEL:
I want to include the ticket answer table to get the first response for that ticket, use its datetime field to work out the average response time for each user.
SELECT a.id as theuser, round(avg(DATEDIFF( ta.dateAded , t.dateAded ) * 1.0), 2) as avg
FROM tickets t join
mdl_user a
on find_in_set(a.id, t.assignedto) > 0
INNER JOIN (SELECT MIN(ta.dateAded) as started FROM ticketanswer GROUP BY ta.ticketId) ta ON t.id = ta.ticketId
GROUP BY a.id ORDER BY avg ASC
Yuck. You can do this, assuming you know the maximum number of assignments. Here is an approach:
select substring_index(substring_index(assignedto, ',', n.n), ',', -1) as assignedto,
round(avg(DATEDIFF( dateClosed , dateAded ) * 1.0), 2) as avg
from tickets t join
(select 1 as n union all select 2 union all select 3)
on length(assignedto) - length(replace(assignedto, ',', '')) < n.n
group by substring_index(substring_index(assignedto, ',', n.n), ',', -1);
Or, an easier way if you have a list of assigned values, say in an AssignedTo table:
select a.assignedto, round(avg(DATEDIFF( dateClosed , dateAded ) * 1.0), 2) as avg
from tickets t join
assignedto a
on find_in_set(a.assignedto, t.assignedto) > 0
group by a.assignedto;
I'm sorry you have to deal with this malformed database structure.
Related
I have a Table Name Called tbl_events and it does have following columns
Id,Event_Name, District,Branch_Type,Points
I need a Sum of Points Column Where Branch_Type=2; and Sum of Points Divided by 10 Where Branch_Type=2 after that I have to Add those Two Values And Group that Result by District and Order by Desc. I tried this Query but Seems to something wrong Can anyone help, please?
Select (t1.B_Points + t2.D_Points) as T_Points,District From
(Select Sum(Points)*.1 as B_Points ,District From tblstudents Where Branch_Type=3 group by District)t1
Left Join(Select Sum(Points) as D_points, District From tblstudents Where Branch_Type=2 group by District)t2 on
(t1.District=t2.District) Order by Desc
You need to add column alias T_Points in order by
Select (t1.B_Points + t2.D_Points) as T_Points,District
From
(
Select Sum(Points)*.1 as B_Points ,District From tblstudents
Where Branch_Type=3 group by District
)t1
Left Join
(
Select Sum(Points) as D_points, District From tblstudents
Where Branch_Type=2 group by District
)t2 on t1.District=t2.District
Order by T_Points Desc
You seem to just want conditional aggregation:
select district,
sum(case when branch_type = 3 then 0.1 * points
when branch_type = 2 then points
else 0
end) as t_points
from tblstudents
group by district;
If you want to order by the points descending, then add:
order by t_points desc
Note: This assumes that you want districts that have neither branch type. If that is not an issue, move the logic to the where clause:
select district,
sum(points * (case when branch_type = 3 then 0.1 else 1.0 end) as t_points
from tblstudents
where branch_type in (2, 3)
group by district
order by t_points desc;
I trying to get the last 6 months of the min and max of prices in my table and display them as a group by months. My query is not returning the corresponding rows values, such as the date time for when the max price was or min..
I want to select the min & max prices and the date time they both occurred and the rest of the data for that row...
(the reason why i have concat for report_term, as i need to print this with the dataset when displaying results. e.g. February 2018 -> ...., January 2018 -> ...)
SELECT metal_price_id, CONCAT(MONTHNAME(metal_price_datetime), ' ', YEAR(metal_price_datetime)) AS report_term, max(metal_price) as highest_gold_price, metal_price_datetime FROM metal_prices_v2
WHERE metal_id = 1
AND DATEDIFF(NOW(), metal_price_datetime) BETWEEN 0 AND 180
GROUP BY report_term
ORDER BY metal_price_datetime DESC
I have made an example, extract from my DB:
http://sqlfiddle.com/#!9/617bcb2/4/0
My desired result would be to see the min and max prices grouped by month, date of min, date of max.. and all in the last 6 months.
thanks
UPDATE.
The below code works, but it returns back rows from beyond the 180 days specified. I have just checked, and it is because it joining by the price which may be duplicated a number of times during the years.... see: http://sqlfiddle.com/#!9/5f501b/1
You could use twice inner join on the subselect for min and max
select a.metal_price_datetime
, t1.highest_gold_price
, t1.report_term
, t2.lowest_gold_price
,t2.metal_price_datetime
from metal_prices_v2 a
inner join (
SELECT CONCAT(MONTHNAME(metal_price_datetime), ' ', YEAR(metal_price_datetime)) AS report_term
, max(metal_price) as highest_gold_price
from metal_prices_v2
WHERE metal_id = 1
AND DATEDIFF(NOW(), metal_price_datetime) BETWEEN 0 AND 180
GROUP BY report_term
) t1 on t1.highest_gold_price = a.metal_price
inner join (
select a.metal_price_datetime
, t.lowest_gold_price
, t.report_term
from metal_prices_v2 a
inner join (
SELECT CONCAT(MONTHNAME(metal_price_datetime), ' ', YEAR(metal_price_datetime)) AS report_term
, min(metal_price) as lowest_gold_price
from metal_prices_v2
WHERE metal_id = 1
AND DATEDIFF(NOW(), metal_price_datetime) BETWEEN 0 AND 180
GROUP BY report_term
) t on t.lowest_gold_price = a.metal_price
) t2 on t2.report_term = t1.report_term
simplified version of what you should do so you can learn the working process.
You need calculate the min() max() of the periods you need. That is your first brick on this building.
you have tableA, you calculate min() lets call it R1
SELECT group_field, min() as min_value
FROM TableA
GROUP BY group_field
same for max() call it R2
SELECT group_field, max() as max_value
FROM TableA
GROUP BY group_field
Now you need to bring all the data from original fields so you join each result with your original table
We call those T1 and T2:
SELECT tableA.group_field, tableA.value, tableA.date
FROM tableA
JOIN ( ... .. ) as R1
ON tableA.group_field = R1.group_field
AND tableA.value = R1.min_value
SELECT tableA.group_field, tableA.value, tableA.date
FROM tableA
JOIN ( ... .. ) as R2
ON tableA.group_field = R2.group_field
AND tableA.value = R2.max_value
Now we join T1 and T2.
SELECT *
FROM ( .... ) as T1
JOIN ( .... ) as T2
ON t1.group_field = t2.group_field
So the idea is if you can do a brick, you do the next one. Then you also can add filters like last 6 months or something else you need.
In this case the group_field is the CONCAT() value
I'm trying to do something that sounds really simple but I have been going round in circles a little with it..
I have a stored procedure that currently works as required missing only one bit of functionality, to return a name for a corrosponding max calculation...
So I return
average calculation &
max calculation but want to return 'the name from another column' for the max value.
Here is an example of my SP, apologies that it may not seem very natural as I have had to rename and omit non relevant bits so may seem a little contrived::
SELECT
IFNULL(ROUND(AVG(TABLE1.TotalCapacityPercentageUsage / TABLE1.TotalSnapshotsForTimeSegment), 2), 0.0) AS TotalAvgCapacityPercentageUsage,
IFNULL(ROUND(MAX(TABLE1.MaxCapacityPercentageUsage), 2), 0.0) AS TotalMaxCapacityPercentageUsage,
-- TODO return the QueuesTmp.QueueName for max calculation (This could be more than one row, so I was going to use something like the following:
-- (SELECT GROUP_CONCAT(QueuesTmp.QueueName SEPARATOR ' ') to ensure only one field is returned..
FROM TABLE1
INNER JOIN QueuesTmp ON QueuesTmp.QueueID = TABLE1.QueueID
RIGHT JOIN TimesTmp ON TABLE1.TimeSegment = TimesTmp.QuarterHour AND
TABLE1.Date = DATE(TimesTmp.StartOfRangeUTC)
GROUP BY TimesTmp.QuarterHour;
I started by doing a Sub select but it seems I would then have to repeat all of the Joins, WHERE and Group By (Seems this is not even possible because that's what having is for)..
Can anybody guide me in the right direction as to how this can be achieved?
Thanks in advance.
WORKING SOLUTION
GROUP_CONCAT(DISTINCT QueuesTmp.QueueName ORDER BY MYCOLUMN DESC
SEPARATOR ':') AS MaxColumnQueueName,
I'm not sure that I'm on the right way. You need the QueueName of that row with the max - calculation. So use the group_concat with an ORDER BY of this calculation and get with SUBSTRING_INDEX the first element of this list.
substring_index(
GROUP_CONCAT(DISTINCT QueuesTmp.QueueName ORDER BY `maxCalculation` DESC) SEPARATOR ':',
':',
1
)
Additional question.
Sorry unfortunately the max comment space has reached. Here a query.
I used your example - query for sub and select the queueId as comma-separated list and the max(maxColumn) as additional.
After that I join to queue-table again with queueId and maxColumn. I can't guarantee if that works.
SELECT
sub.TotalAvgCapacityPercentageUsage,
sub.TotalMaxCapacityPercentageUsage,
GROUP_CONCAT(DISTINCT QueuesTmp.QueueName ORDER BY MYCOLUMN DESC SEPARATOR ':') AS MaxColumnQueueName
FROM(
SELECT
TimesTmp.QuarterHour,
IFNULL(
ROUND(
AVG(
TABLE1.TotalCapacityPercentageUsage /
TABLE1.TotalSnapshotsForTimeSegment
),
2
),
0.0
) AS TotalAvgCapacityPercentageUsage,
IFNULL(
ROUND(
MAX(TABLE1.MaxCapacityPercentageUsage),
2
),
0.0
) AS TotalMaxCapacityPercentageUsage,
max(QueuesTmp.maxColumn) AS maxColumn,
group_concat(DISTINCT QueueID) AS QueueID
FROM TABLE1
INNER JOIN QueuesTmp
ON QueuesTmp.QueueID = TABLE1.QueueID
RIGHT JOIN TimesTmp
ON TABLE1.TimeSegment = TimesTmp.QuarterHour
AND TABLE1.Date = DATE(TimesTmp.StartOfRangeUTC)
GROUP BY TimesTmp.QuarterHour
) AS sub
LEFT JOIN QueuesTmp
ON QueuesTmp.QueueID IN(sub.QueueID)
AND QueuesTmp.maxColumn = sub.maxColumn
I have a single table with rows like this: (Date, Score, Name)
The Date field has two possible dates, and it's possible that a Name value will appear under only one date (if that name was recently added or removed).
I'm looking to get a table with rows like this: (Delta, Name), where delta is the score change for each name between the earlier and later dates. In addition, only a negative change interests me, so if Delta>=0, it shouldn't appear in the output table at all.
My main challenge for me is calculating the Delta field.
As stated in the title, it should be an SQL query.
Thanks in advance for any help!
I assumed that each name can have it's own start/end dates. It can be simplified significantly if there are only two possible dates for the entire table.
I tried this out in SQL Fiddle here
SELECT (score_end - score_start) delta, name_start
FROM
( SELECT date date_start, score score_start, name name_start
FROM t t
WHERE NOT EXISTS
( SELECT 1
FROM t x
WHERE x.date < t.date
AND x.name = t.name
)
) AS start_date_t
JOIN
( SELECT date date_end, score score_end, name name_end
FROM t t
WHERE NOT EXISTS
( SELECT 1
FROM t x
WHERE x.date > t.date
AND x.name = t.name
)
) end_date_t ON start_date_t.name_start = end_date_t.name_end
WHERE score_end-score_start < 0
lets say you have a table with date_value, sum_value
Then it should be something like that:
select t.date_value,sum_value,
sum_value - COALESCE((
select top 1 sum_value
from tmp_num
where date_value > t.date_value
order by date_value
),0) as sum_change
from tmp_num as t
order by t.date_value
The following uses a "trick" in MySQL that I don't really like using, because it turns the score into a string and then back into a number. But, it is an easy way to get what you want:
select t.name, (lastscore - firstscore) as diff
from (select t.name,
substring_index(group_concat(score order by date asc), ',', 1) as firstscore,
substring_index(group_concat(score order by date desc), ',', 1) as lastscore
from table t
group by t.name
) t
where lastscore - firstscore < 0;
If MySQL supported window functions, such tricks wouldn't be necessary.
Here's the report:
This is how I got the percentages for column the '%Change of most recent year".
=((Last(Fields!Quantity.Value,"Child") - First(Fields!Quantity.Value)) / First(Fields!Quantity.Value))`
= ((54675 - 55968)/55968 ) = -2.31%'
= ((54675 - 57849)/57849) = -5.49%'
It will always take the first year '2012' in this case and get the percentages against each other year. If I enter the years 2005,2004,2003,2002,2001 it will always take the first year and do a percentages against each additional year. 2005 to 2004, 2005 to 2003, 2005 to 2002 and so on. I can have as many as 2 column (year) to many columns.
I need to do it for the Total and Subtotal but it won't work because it's in a different scope.
data is = row Child group
Sub Total: = row Parent group
Total: = row Total group
Year = Column Period group
Query use to get result.
SELECT MEMBERSHIP_CODE
, PERIOD, COUNT(DISTINCT ID) AS Distinct_ID
, SUM(QUANTITY) AS Quantity
, '01-Personal' AS Child
, '01-Overall' AS Parent
, 'Total' as Total
FROM vf_Sshot AS vfs
INNER JOIN vProd AS vP ON vfs.PRODUCT_CODE = vP.PRODUCT_CODE
INNER JOIN vMem_Type vMT on vMT.Member_Type = vfs.Member_Type
WHERE (PERIOD IN ( (SELECT Val from dbo.fn_String_To_Table(#Periods,',',1))))
AND (vMT.MEMBER_TYPE NOT IN ('a','b','c'))
AND (vfs.STATUS IN ( 'A', 'D', 'C'))
AND (MEMBERSHIP_CODE NOT IN ('ABC', 'DEF' ))
and vP.PROD_TYPE in ('DUE','MC','SC')
and vMT.Member_Record = '1'
GROUP BY MEMBERSHIP_CODE, PERIOD
Any ideas?
How would I produce this output?
TOTAL: 57,573 58,941 57,573 61,188 57,573 61,175 57,175
This is the easiest way of solving your problem. In your query, identify the sum for the latest period on a separate column (you can transform your query into a CTE, so that you don't have to change your base query a lot):
WITH query AS (
SELECT MEMBERSHIP_CODE
, PERIOD, COUNT(DISTINCT ID) AS Distinct_ID
, SUM(QUANTITY) AS Quantity
, '01-Personal' AS Child
, '01-Overall' AS Parent
, 'Total' as Total
...
UNION
SELECT
...
)
SELECT
A.MEMBERSHIP_CODE,
A.PERIOD,
A.Distinct_ID,
A.Child,
A.Parent,
A.Total,
A.Quantity,
B.Quantity AS LastPeriodQuantity
FROM
query A INNER JOIN
(SELECT *, ROW_NUMBER() OVER(PARTITION BY MEMBERSHIP_CODE, Distinct_ID, Child, Parent ORDER BY PERIOD DESC) as periodOrder FROM query) B ON
A.MEMBERSHIP_CODE = B.MEMBERSHIP_CODE AND
A.DISTINCT_ID = B.DISTINCT_ID AND
A.Parent = B.Parent AND
A.Child = B.Child AND
A.Total = B.Total AND
B.PeriodOrder = 1
And then on all your totals/subtotals/columns you will be accessing a column that is being grouped/filtered by the same rules than your denominator. Your expression can remain, for all cells, something like this:
=(Fields!LastPeriodQuantity.Value - Fields!Quantity.Value) / Fields!Quantity.Value