I am having trouble ranking top customers by month. I created a new Rank column - but how do I break it up by month? Any help plz. Code and tables below:
The logic for ranking is selecting the top two customers per month from the tables. Also wrapped into the code (attempted at least) is renaming the date field and setting it to reflect end of month date only.
SELECT * FROM table1;
UPDATE table1
SET DATE=EOMONTH(DATE) AS MO_END;
ALTER TABLE table1
ADD COLUMN RANK INT AFTER SALES;
UPDATE table1
SET RANK=
RANK() OVER(PARTITION BY cust ORDER BY sales DESC);
LIMIT 2
Starting wtih
------+----------+-------+--+
| CUST | DATE | SALES | |
+------+----------+-------+--+
| 36 | 3-5-2018 | 50 | |
| 37 | 3-15-18 | 100 | |
| 38 | 3-25-18 | 65 | |
| 37 | 4-5-18 | 95 | |
| 39 | 4-21-18 | 500 | |
| 40 | 4-45-18 | 199 | |
+------+----------+-------+--+
desired end result
+------+---------+-------+------+--+
| CUST | MO_END | SALES | RANK | |
+------+---------+-------+------+--+
| 37 | 3-31-18 | 100 | 1 | |
| 38 | 3-25-18 | 65 | 2 | |
| 39 | 4-30-18 | 500 | 1 | |
| 40 | 4-45-18 | 199 | 2 | |
+------+---------+-------+------+--+
As a simple selection:
select *
from (
select
table1.*
, DENSE_RANK() OVER(PARTITION BY cust, EOMONTH(DATE) ORDER BY sales DESC) as ranking
from table1
)
where ranking < 3
;
If storing is important: I would not use [rank] as a column name as I avoid any words that are used in SQL, maybe [sales_rank] or similar.
with cte as (
select
cust
, DENSE_RANK() OVER(PARTITION BY cust, EOMONTH(DATE) ORDER BY sales DESC) as ranking
from table1
)
update cte
set sales_rank = ranking
where ranking < 3
;
There is really no reason to store the end of month, just use that function within the partition of the over() clause.
LIMIT 2 is not something that can be used in SQL Server by the way, and it sure can't be used "per grouping". When you use a "window function" such as rank() or dense_rank() you can use the output of those in the where clause of the next "layer". i.e. use those functions in a subquery (or cte) and then use a where clause to filter rows by the calculated values.
Also note I used dense_rank() to guarantee that no rank numbers are skipped, so that the subsequent where clause will be effective.
I'm trying to add rank by sales by month and also change the date column to a 'month end' field that would show only last day of month.
Can i do two sets in a row like that without adding an update?
I'm looking for top 2 within each month - does limit and group by work?
I feel like this is right and most efficient query, but its not working - any help appreciated!!
UPDATE table1
SET DATE=EOMONTH(DATE) AS MONTH_END;
ALTER TABLE table1
ADD COLUMN RANK INT AFTER sales;
UPDATE table1
SET RANK=
RANK() OVER(PARTITION BY cust ORDER BY sales DESC);
LIMIT 2
orig table
+------+----------+-------+--+
| CUST | DATE | SALES | |
+------+----------+-------+--+
| 36 | 3-5-2018 | 50 | |
| 37 | 3-15-18 | 100 | |
| 38 | 3-25-18 | 65 | |
| 37 | 4-5-18 | 95 | |
| 39 | 4-21-18 | 500 | |
| 40 | 4-45-18 | 199 | |
+------+----------+-------+--+
desired output
+------+-----------+-------+------+
| CUST | Month End | SALES | Rank |
+------+-----------+-------+------+
| | | | |
| 37 | 3-31-18 | 100 | 1 |
| 38 | 3-31-18 | 65 | 2 |
| 39 | 4-30-18 | 500 | 1 |
| 40 | 4-30-18 | 199 | 2 |
+------+-----------+-------+------+
I do not know why you want EOMONTH as a stored value, but what you have for that will work.
I would not use [rank] as a column name as I avoid any words that are used in SQL, maybe [sales_rank] or similar.
ALTER TABLE table1
ADD COLUMN [sales_rank] INT AFTER sales;
with cte as (
select
cust
, DENSE_RANK() OVER(PARTITION BY cust ORDER BY sales DESC) as ranking
from table1
)
update cte
set sales_rank = ranking
where ranking < 3
;
LIMIT 2 is not something that can be used in SQL Server by the way, and it sure can't be used "per grouping". When you use a "window function" such as rank() or dense_rank() you can use the output of those in the where clause of the next "layer". i.e. use those functions in a subquery (or cte) and then use a where clause to filter rows by the calculated values.
Also note I used dense_rank() to guarantee that no rank numbers are skipped, so that the subsequent where clause will be effective.
I asked this question (SQL Query to select one set when there are duplicates) last year and got the solution to count the SLAs. Basically, count the number of minimum SLA for each application. However, I have a follow-up question. I want a query that will return the rows of the minimum SLA and earliest date for each REF_ID (or APP_ID)
ID | REF_ID | APP_ID | FIRST_DATE | SECOND_DTE | SLA |
1 | 11 | 101 | 2016/10/01 | 2016/10/02 | 1 |
2 | 12 | 102 | 2016/10/01 | 2016/10/04 | 2 |
3 | 12 | 102 | 2016/10/01 | 2016/10/05 | 2 |
So the query should return the first and second row.
I would very much appreciate if someone could provide a solution.
I have updated the query based on User726720 answer. This does not return entire rows but sufficient data.
SELECT REF_ID, MIN(SECOND_DTE), MIN(SLA) FROM TABLE WHERE FIRST_DTE > '2016-10-01' AND FIRST_DTE < '2016-11-01' GROUP BY REF_ID
This should do the job:
Select * from table
WHERE SLA = ( SELECT MIN(SLA) FROM table)
and SECOND_DTE = ( SELECT MIN(SECOND_DTE ) FROM table)
Take an example I have the following transaction table, with transaction values of each department for each trimester.
TransactionID | Department | Trimester | Year | Value | Moving Avg
1 | Dep1 | T1 | 2014 | 13 |
2 | Dep1 | T1 | 2014 | 43 |
3 | Dep1 | T2 | 2014 | 36 |
300 | Dep1 T1 | 2017 | 28 |
301 | Dep2 T1 | 2014 | 24 |
I would like to calculate moving average for each transaction from the same department, taking the window as from the 6 trimesters to 2 trimesters before the current line's trimester. Example for transaction 300 in T1 2017, I'd like to have the average of transaction values for Dep1 from T1-2015 to T2-2016.
How can I achieve this with sliding window function in SQL Server 2014. My thought is that I should use something like
SELECT
AVG(VALUES) OVER
(PARTITION BY DEPARTMENT ORDER BY TRIMESTER,
YEAR RANGE [Take the range from previous 6 to 2 trimesters])
How would we define the RANGE clause. I suppose I could not use ROWS due to the number of rows for the window is unknown.
The same question for median. How would we rewrite for calculating the median instead of mean ?
we have following table (output is already ordered and separated for understanding):
| PK | FK1 | FK2 | ActionCode | CreationTS | SomeAttributeValue |
+----+-----+-----+--------------+---------------------+--------------------+
| 6 | 100 | 500 | Create | 2011-01-02 00:00:00 | H |
----------------------------------------------------------------------------
| 3 | 100 | 500 | Change | 2011-01-01 02:00:00 | Z |
| 2 | 100 | 500 | Change | 2011-01-01 01:00:00 | X |
| 1 | 100 | 500 | Create | 2011-01-01 00:00:00 | Y |
----------------------------------------------------------------------------
| 4 | 100 | 510 | Create | 2011-01-01 00:30:00 | T |
----------------------------------------------------------------------------
| 5 | 100 | 520 | CreateSystem | 2011-01-01 00:30:00 | A |
----------------------------------------------------------------------------
what is ActionCode? we use this in c# and there it represents an enum-value
what do i want to achieve?
well, i need the following output:
| FK1 | FK2 | ActionCode | SomeAttributeValue |
+-----+-----+--------------+--------------------+
| 100 | 500 | Create | H |
| 100 | 500 | Create | Z |
| 100 | 510 | Create | T |
| 100 | 520 | CreateSystem | A |
-------------------------------------------------
well, what is the actual logic?
we have some logical groups for composite-key (FK1 + FK2). each of these groups can be broken into partitions, which begin with Create or CreateSystem. each partition ends with Create, CreateSystem or Change. The actual value of SomeAttributeValue for each partition should be the value from the last line of the partition.
it is not possible to have following datapool:
| PK | FK1 | FK2 | ActionCode | CreationTS | SomeAttributeValue |
+----+-----+-----+--------------+---------------------+--------------------+
| 7 | 100 | 500 | Change | 2011-01-02 02:00:00 | Z |
| 6 | 100 | 500 | Create | 2011-01-02 00:00:00 | H |
| 2 | 100 | 500 | Change | 2011-01-01 01:00:00 | X |
| 1 | 100 | 500 | Create | 2011-01-01 00:00:00 | Y |
----------------------------------------------------------------------------
and then expect PK 7 to affect PK 2 or PK 6 to affect PK 1.
i don't even know how/where to start ... how can i achieve this?
we are running on mssql 2005+
EDIT:
there's a dump available:
instanceId: my PK
tenantId: FK 1
campaignId: FK 2
callId: FK 3
refillCounter: FK 4
ticketType: ActionCode (1 & 4 & 6 are Create, 5 is Change, 3 must be ignored)
ticketType, profileId, contactPersonId, ownerId, handlingStartTime, handlingEndTime, memo, callWasPreselected, creatorId, creationTS, changerId, changeTS should be taken from the Create (first line in partition in groups)
callingState, reasonId, followUpDate, callingAttempts and callingAttemptsConsecutivelyNotReached should be taken from the last Create (which then would be a "one-line-partition-in-group" / the same as the upper one) or Change (last line in partition in groups)
I'm assuming that each partition can only contain a single Create or CreateSystem, otherwise your requirements are ill-defined. The following is untested, since I don't have a sample table, nor sample data in an easily consumed format:
;With Partitions as (
Select
t1.FK1,
t1.FK2,
t1.CreationTS as StartTS,
t2.CreationTS as EndTS
From
Table t1
left join
Table t2
on
t1.FK1 = t2.FK1 and
t1.FK2 = t2.FK2 and
t1.CreationTS < t2.CreationTS and
t2.ActionCode in ('Create','CreateSystem')
left join
Table t3
on
t1.FK1 = t3.FK1 and
t1.FK2 = t3.FK2 and
t1.CreationTS < t3.CreationTS and
t3.CreationTS < t2.CreationTS and
t3.ActionCode in ('Create','CreateSystem')
where
t1.ActionCode in ('Create','CreateSystem') and
t3.FK1 is null
), PartitionRows as (
SELECT
t1.FK1,
t1.FK2,
t1.ActionCode,
t2.SomeAttributeValue,
ROW_NUMBER() OVER (PARTITION_FRAGMENT_ID BY t1.FK1,T1.FK2,t1.StartTS ORDER BY t2.CreationTS desc) as rn
from
Partitions t1
inner join
Table t2
on
t1.FK1 = t2.FK1 and
t1.FK2 = t2.FK2 and
t1.StartTS <= t2.CreationTS and
(t2.CreationTS < t1.EndTS or t1.EndTS is null)
)
select * from PartitionRows where rn = 1
(Please note than I'm using all kinds of reserved names here)
The basic logic is: The Partitions CTE is used to define each partition in terms of the FK1, FK2, an inclusive start timestamp, and exclusive end timestamp. It does this by a triple join to the base table. the rows from t2 are selected to occur after the rows from t1, then the rows from t3 are selected to occur between the matching rows from t1 and t2. Then, in the WHERE clause, we exclude any rows from the result set where a match occurred from t3 - the result being that the row from t1 and the row from t2 represent the start of two adjacent partitions.
The second CTE then retrieves all rows from Table for each partition, but assigning a ROW_NUMBER() score within each partition, based on the CreationTS, sorted descending, with the result that ROW_NUMBER() 1 within each partition is the last row to occur.
Finally, within the select, we choose those rows that occur last within their respective partitions.
This does all assume that CreationTS values are distinct within each partition. I may be able to re-work it using PK also, if that assumption doesn't hold up.
It is solvable with a recursive CTE. Here (assuming rows within partitions are ordered by CreationTS):
WITH partitioned AS (
SELECT
*,
rn = ROW_NUMBER() OVER (PARTITION BY FK1, FK2 ORDER BY CreationTS)
FROM data
),
subgroups AS (
SELECT
PK, FK1, FK2, ActionCode, CreationTS, SomeAttributeValue, rn,
Subgroup = 1,
Subrank = 1
FROM partitioned
WHERE rn = 1
UNION ALL
SELECT
p.PK, p.FK1, p.FK2, p.ActionCode, p.CreationTS, p.SomeAttributeValue, p.rn,
Subgroup = s.Subgroup + CASE p.ActionCode WHEN 'Change' THEN 0 ELSE 1 END,
Subrank = CASE p.ActionCode WHEN 'Change' THEN s.Subrank ELSE 0 END + 1
FROM partitioned p
INNER JOIN subgroups s ON p.FK1 = s.FK1 AND p.FK2 = s.FK2
AND p.rn = s.rn + 1
),
finalranks AS (
SELECT
PK, FK1, FK2, ActionCode, CreationTS, SomeAttributeValue, rn,
Subgroup, Subrank,
rank = ROW_NUMBER() OVER (PARTITION BY FK1, FK2, Subgroup ORDER BY Subrank DESC)
/* or: rank = MAX(Subrank) OVER (PARTITION BY FK1, FK2, Subgroup) - Subrank + 1 */
FROM subgroups
)
SELECT PK, FK1, FK2, ActionCode, CreationTS, SomeAttributeValue
FROM finalranks
WHERE rank = 1