If anyone can point me in the right direction, I would appreciate it.
This is the result of a CTE query on multiple tables. I require to redefine the output and I can only think of using a pivot to do it.
Id | Parent_Id | Description | Account_Number | Year_of_Entry | Amount
-----------------------------------------------------------------------
1 | NULL | V | 001 | 2017 | 4
2 | 1 | W | 002 | 2017 | 2
3 | 2 | X | 003 | 2017 | 1
4 | 2 | Y | 004 | 2017 | 1
5 | 1 | Z | 005 | 2017 | 2
6 | 5 | T | 006 | 2017 | 2
7 | 6 | X | 007 | 2017 | 1
8 | 6 | Y | 008 | 2017 | 1
1 | NULL | V | 001 | 2016 | 8
2 | 1 | W | 002 | 2016 | 4
3 | 2 | X | 003 | 2016 | 2
4 | 2 | Y | 004 | 2016 | 2
5 | 1 | Z | 005 | 2016 | 4
6 | 5 | X | 006 | 2016 | 2
7 | 5 | Y | 007 | 2016 | 2
I would like to get an output that matches this one.
Id | Parent_Id | Description | Account_Number | Year_of_entry| Amount| X | Y
---------------------------------------------------------------------------------
1 | NULL | V | 001 | 2017 | 4 | 2 | 2
2 | 1 | W | 002 | 2017 | 2 | 1 | 1
5 | 1 | Z | 005 | 2017 | 2 | 1 | 1
6 | 5 | T | 006 | 2017 | 2 | 1 | 1
1 | NULL | V | 001 | 2016 | 8 | 4 | 4
2 | 1 | W | 002 | 2016 | 4 | 2 | 2
5 | 1 | Z | 005 | 2016 | 4 | 2 | 2
Current output with the CTE recursion query
Id | Parent_Id | Description | Account_Number | Year_of_entry| Amount| X | Y
---------------------------------------------------------------------------------
1 | NULL | V | 001 | 2017 | 4 | 0 | 0
2 | 1 | W | 002 | 2017 | 2 | 1 | 1
5 | 1 | Z | 005 | 2017 | 2 | 0 | 0
6 | 5 | T | 006 | 2017 | 2 | 1 | 1
1 | NULL | V | 001 | 2016 | 8 | 0 | 0
2 | 1 | W | 002 | 2016 | 4 | 2 | 2
5 | 1 | Z | 005 | 2016 | 4 | 2 | 2
Current output with #Daniel code
Id | Parent_Id | Description | Account_Number | Year_of_entry| Amount| X | Y
---------------------------------------------------------------------------------
2 | 1 | W | 002 | 2017 | 2 | 1 | 1
6 | 5 | T | 006 | 2017 | 2 | 1 | 1
2 | 1 | W | 002 | 2016 | 4 | 2 | 2
5 | 1 | Z | 005 | 2016 | 4 | 2 | 2
I have used isnull to convert to 0
EDIT : Thanks for the Help.
I ended up using 2 recursive CTEs to resolve this.
The first to get the X and Y values to the Parent.
The Second to pass all the totals up the tree to the root.
Thanks again for the assistance.
Regards
MJK
Use conditional logic with aggregation to create your x and y columns:
select a.Id, a.Parent_Id, a.Description, a.Account_Number, a.Year_of_Entry, a.Amount,
max(case when b.description in ('x','y')
then null else b.amount end) amount, sum(case when b.description='x' then b.amount else null end) X,
sum(case when b.description='y' then b.amount else null end) y from yourtable a
join yourtable b on (a.id=b.parent_id or a.parent_id is null) and a.Year_of_Entry=b.Year_of_Entry
where b. description in ('x','y')
group by a.Id, a.Parent_Id, a.Description, a.Account_Number, a.Year_of_Entry, a.Amount
order by a.Year_of_Entry desc, a.parent_id
Related
I need to join 4 table and display records in my application
route1
-------------------------
| ID | MODE | SCH DATE |
| 1 | T | 1/12019 |
| 2 | T | 2/12019 |
| 3 | T | 2/12019 |
--------------------------
Stop2
----------------------------
| ID | routeID | LocationID |
| 1 | 1 | 1 |
| 2 | 1 | 2 |
| 3 | 1 | 3 |
| 4 | 2 | 4 |
| 5 | 2 | 5 |
| 6 | 3 | 6 |
-----------------------------
StopOrder2
----------------------------
| ID | StopID | Wight |
| 1 | 1 | 100 |
| 2 | 1 | 2 |
| 3 | 2 | 3 |
| 4 | 2 | 1 |
| 5 | 3 | 2 |
| 6 | 3 | 3 |
| 7 | 4 | 2 |
| 8 | 4 | 3 |
| 9 | 5 | 2 |
| 10 | 5 | 3 |
| 11 | 6 | 2 |
| 12 | 6 | 3 |
-----------------------------
Location
| LocationID | Name, City, Zip
| 1 | name1,city1 1111
| 2 | name2,city2 2222
| 3 | name3,city3 333
-----------------------------
I want final result with each route have how many records and how many orders and sum of all order wight
-----------------------------------------
| RouteID | MODE | SCH DATE |No Of Stop |LastLocatioID|OrderCount|
| 1 | T | 1/12019 | 3 | 3 | 6 |
| 2 | T | 2/12019 | 2 | 5 | 4 |
| 3 | T | 2/12019 | 1 | 6 | 2 |
How can I write the SQL query I need?
All you need is a simple group by:
SELECT
r.ID AS RouteID,
r.MODE,
r.[SCH DATE],
COUNT(s.ID) AS [No Of Stop],
MAX(s.LocationID) AS [LastLocationID],
COUNT(o.ID) AS OrderCount
FROM
#route1 r
INNER JOIN #Stop2 s
ON r.ID = s.routeID
INNER JOIN #StopOrder2 o
ON s.ID = o.StopID
GROUP BY
r.ID,
r.MODE,
r.[SCH DATE]
Output:
I have a table be like:
| Date | Week | Name | No | Count |
|-----------|------|--------|----|-------|
| 2019/4/1 | 14 | John | 1 | 1 |
| 2019/4/1 | 14 | Mary | 2 | 1 |
| 2019/4/9 | 15 | Kevin | 3 | 2 |
| 2019/4/9 | 15 | John | 4 | 1 |
| 2019/4/9 | 15 | Jessie | 5 | 1 |
| 2019/4/18 | 16 | Kevin | 6 | 1 |
| 2019/4/18 | 16 | John | 7 | 1 |
| 2019/4/18 | 16 | Jessie | 8 | 2 |
| 2019/4/18 | 16 | Mary | 9 | 3 |
| 2019/4/18 | 16 | Mary | 10 | 1 |
| 2019/4/18 | 16 | Jessie | 11 | 1 |
| 2019/4/24 | 17 | Mary | 12 | 1 |
| 2019/4/24 | 17 | Jessie | 13 | 1 |
What I want to do is to calculate people's total count per Week.
And sort by their total count.
I know GROUP BY can make this happen, I've tried, but just can't figure it out.
This is what I expect:
| Name | 14 | 15 | 16 | 17 | Total |
|--------|----|----|----|----|-------|
| Mary | 1 | 0 | 4 | 1 | 6 |
| Jessie | 0 | 1 | 3 | 1 | 5 |
| John | 1 | 1 | 1 | 0 | 3 |
| Kevin | 0 | 2 | 1 | 0 | 3 |
| Total | 2 | 4 | 9 | 2 | 17 |
How can I do?
Select [Name]
,sum(case when [Week] = 14 then [Count] else 0 end) as Week14
,sum(case when [Week] = 15 then [Count] else 0 end) as Week15
,sum(case when [Week] = 16 then [Count] else 0 end) as Week16
,sum(case when [Week] = 17 then [Count] else 0 end) as Week17
,sum([Count]) as Total
from [table]
group by [Name]
order by Total
I'm not sure which version of DB2 you're using (LUW/zOS/i) so this is a general answer. The week number can be made to be more flexible but a certain amount of hard coding will need to be done for the number of weeks.
I am trying to update an existing table with an individual count of the record on each row in a count column.
The table has the following columns that need to be incremented:
MBR_NO, CLAIM_N0, Effective_Dt, incr_count
So a sample might look like this before the run:
MBR_NO | CLAIM_N0 | Effective_Dt | incr_count |
-------+----------+----------------+------------+
1 | 2 | 1/1/2015 | NULL |
1 | 4 | 5/5/2015 | NULL |
1 | 5 | 6/7/2016 | NULL |
1 | 7 | 8/7/2016 | NULL |
2 | 2 | 4/3/2015 | NULL |
2 | 5 | 5/21/2015 | NULL |
3 | 8 | 3/27/2015 | NULL |
I want to count by MBR_NO and update the Incr_count to look like this:
MBR_NO | CLAIM_N0 | Effective_Dt | incr_count |
-------+----------+----------------+------------+
1 | 2 | 1/1/2015 | 1 |
1 | 4 | 5/5/2015 | 2 |
1 | 5 | 6/7/2016 | 3 |
1 | 7 | 8/7/2016 | 4 |
2 | 2 | 4/3/2015 | 1 |
2 | 5 | 5/21/2015 | 2 |
3 | 8 | 3/27/2015 | 1 |
I need to change that filed for processing later on.
I know this is not that complex but It seemed that the other topics offered solutions that don't incrementally update. Any help would be appreciated.
You could just do this in a query with
ROW_NUMBER() OVER (PARTITION BY MBR_NO ORDER BY Effective_DT).
but does it matter if the number changes? i.e. in your example if you had
MBR_NO EffectiveDate RowNumber
------------------------------------
2 1/1/2017 1
2 5/1/2017 2
but if you inserted a row with an effective date of say 3/1/2017 it would change the row number for the 5/1/2017 row i.e.
MBR_NO EffectiveDate RowNumber
------------------------------------
2 1/1/2017 1
2 3/1/2017 2
2 5/1/2017 3
You can query as below:
Select MBR_NO, CLAIM_N0, Effective_Dt,
incr_count = count(MBR_NO) over(Partition by MBR_NO order by Effective_Dt)
from yourtable
Output as below:
+--------+----------+--------------+------------+
| MBR_NO | CLAIM_N0 | Effective_Dt | incr_count |
+--------+----------+--------------+------------+
| 1 | 2 | 2015-01-01 | 1 |
| 1 | 4 | 2015-05-05 | 2 |
| 1 | 5 | 2016-06-07 | 3 |
| 1 | 7 | 2016-08-07 | 4 |
| 2 | 2 | 2015-04-03 | 1 |
| 2 | 5 | 2015-05-21 | 2 |
| 3 | 8 | 2015-03-27 | 1 |
+--------+----------+--------------+------------+
I have a problem on sql server.
How to get running number from foreign key in one time select data from table?
example :
I have one table such as
-----------------
| id | pid | desc |
-----------------
| 1 | 1 | a |
| 2 | 1 | b |
| 3 | 1 | c |
| 4 | 2 | d |
| 5 | 2 | e |
| 6 | 2 | f |
| 7 | 2 | g |
| 8 | 3 | h |
| 9 | 3 | i |
| 10 | 1 | j |
| 11 | 1 | k |
-----------------
I want to get result as below
------------------------
| id | pid | desc | rec |
------------------------
| 1 | 1 | a | 1 |
| 2 | 1 | b | 2 |
| 3 | 1 | c | 3 |
| 4 | 2 | d | 1 |
| 5 | 2 | e | 2 |
| 6 | 2 | f | 3 |
| 7 | 2 | g | 4 |
| 8 | 3 | h | 1 |
| 9 | 3 | i | 2 |
| 10 | 1 | j | 4 |
| 11 | 1 | K | 5 |
------------------------
In above tables foreign key ('pid') Column has values 1 to 3 in different row numbers.
I tried to get the running number from each 'pid' field name.
I havn't found any way to do this,
Can I do that? Can some one help me? am still newbie at sql server
Try this
SELECT
id,
pid,
[desc],
Row_Number() OVER (PARTITION BY pid ORDER BY id) AS rec
FROM <yourtable>
ORDER BY id
You can use Ranking function in SQL Server 2005+ to accomplish that,
So here is your query
Select Row_Number() over (partition by pid order by id) as rec , * from Table
I have a table that holds values for particular months:
| MFG | DATE | FACTOR |
-----------------------------
| 1 | 2013-01-01 | 1 |
| 2 | 2013-01-01 | 0.8 |
| 2 | 2013-02-01 | 1 |
| 2 | 2013-12-01 | 1.55 |
| 3 | 2013-01-01 | 1 |
| 3 | 2013-04-01 | 1.3 |
| 3 | 2013-05-01 | 1.2 |
| 3 | 2013-06-01 | 1.1 |
| 3 | 2013-07-01 | 1 |
| 4 | 2013-01-01 | 0.9 |
| 4 | 2013-02-01 | 1 |
| 4 | 2013-12-01 | 1.8 |
| 5 | 2013-01-01 | 1.4 |
| 5 | 2013-02-01 | 1 |
| 5 | 2013-10-01 | 1.3 |
| 5 | 2013-11-01 | 1.2 |
| 5 | 2013-12-01 | 1.5 |
What I would like to do is pivot these using a calendar table (already defined):
And finally, cascade the NULL columns to use the previous value.
What I've got so far is a query that will populate the NULLs with the last value for mfg = 3. Each mfg will always have a value for the first of the year. My question is; how do I pivot this and extend to all mfg?
SELECT c.[date],
f.[factor],
Isnull(f.[factor], (SELECT TOP 1 factor
FROM factors
WHERE [date] < c.[date]
AND [factor] IS NOT NULL
AND mfg = 3
ORDER BY [date] DESC)) AS xFactor
FROM (SELECT [date]
FROM calendar
WHERE Datepart(yy, [date]) = 2013
AND Datepart(d, [date]) = 1) c
LEFT JOIN (SELECT [date],
[factor]
FROM factors
WHERE mfg = 3) f
ON f.[date] = c.[date]
Result
| DATE | FACTOR | XFACTOR |
---------------------------------
| 2013-01-01 | 1 | 1 |
| 2013-02-01 | (null) | 1 |
| 2013-03-01 | (null) | 1 |
| 2013-04-01 | 1.3 | 1.3 |
| 2013-05-01 | 1.2 | 1.2 |
| 2013-06-01 | 1.1 | 1.1 |
| 2013-07-01 | 1 | 1 |
| 2013-08-01 | (null) | 1 |
| 2013-09-01 | (null) | 1 |
| 2013-10-01 | (null) | 1 |
| 2013-11-01 | (null) | 1 |
| 2013-12-01 | (null) | 1 |
SQL Fiddle
Don't know if you need the dates to be dynamic from the calender table or if mfg can be more than 5 but this should give you some ideas.
select *
from (
select c.date,
t.mfg,
(
select top 1 f.factor
from factors as f
where f.date <= c.date and
f.mfg = t.mfg and
f.factor is not null
order by f.date desc
) as factor
from calendar as c
cross apply(values(1),(2),(3),(4),(5)) as t(mfg)
) as t
pivot (
max(t.factor) for t.date in ([20130101], [20130201], [20130301],
[20130401], [20130501], [20130601],
[20130701], [20130801], [20130901],
[20131001], [20131101], [20131201])
) as P
SQL Fiddle