Firstly, thank you to anyone that can help, I hope this is a simple question for those in the know.
I have Data which is of the form:
LeaseID | ChargeID
1 | 1
1 | 2
2 | 3
3 | 4
3 | 5
3 | 6
i.e. LeaseID 1 has 2 ChargeIDs
How can I query this in Access SQL so that the data will be reflected as
LeaseID | ChargeID | ChargeID | ChargeID
1 | 1 | 2
2 | 3
3 | 4 | 5 | 6
I know I am limited to 255 columns but this is not a problem as there will never be 255 but the number of columns should increase with the maximum number of ChargeIDs on a given lease.
I believe it is something to do with Transform / Pivot but have been unable to get it working. I keep getting the "too many crosstabs error"
Thanks,
Consider a two-step process involving a staging table:
Make-Table Query (using correlated subquery with slow performance on very large tables)
SELECT t.LeaseID, t.ChargeID, 'ChargeID' & (SELECT count(*) FROM LeaseCharge sub
WHERE sub.LeaseID = t.LeaseID
AND sub.ChargeID <= t.ChargeID) As Rank
INTO myStagingTable
FROM myTable t;
Cross-Tab Query
TRANSFORM MAX(s.ChargeID) As MaxChargeID
SELECT s.LeaseID
FROM myStagingTable s
GROUP BY s.LeaseID
PIVOT s.[Rank]
-- LeaseID ChargeID1 ChargeID2 ChargeID3
-- 1 1 2
-- 2 3
-- 3 4 5 6
Related
Related to / copied from this PostgreSQL topic: so-link
Let's say I have a table with two rows
id | value |
----+-------+
1 | 2 |
2 | 3 |
I want to write a query that will duplicate (repeat) each row based on
the value. I want this result (5 rows total):
id | value |
----+-------+
1 | 2 |
1 | 2 |
2 | 3 |
2 | 3 |
2 | 3 |
How is this possible in SQL Anywhere (Sybase SQL)?
The easiest way to do this is to have a numbers table . . . one that generates integers. Perhaps you have one handy. There are other ways. For instance, using a recursive CTE:
with numbers as (
select 1 as n
union all
select n + 1
from numbers
where n < 100
)
select t.*
from yourtable t join
numbers n
on n.n <= value;
Not all versions of Sybase necessarily support recursive CTEs There are other ways to generate such a table or you might already have one handy.
I've set up a SQL Fiddle to illustrate the question...
I have a database of pupils (referenced by PupilId) who have assessments (AssessmentLevelId) recorded in various subjects (NCSubjectId) at various period (PeriodId).
Not every possible period may have an assessment in it.
PupilId | PeriodId | NCSubjectId | AssessmentLevelId
-----------------------------------------------------
100 | 1 | 10 | 1
100 | 3 | 10 | 2
200 | 1 | 10 | 1
300 | 1 | 10 | 1
400 | 1 | 10 | 1
100 | 5 | 10 | 2
300 | 7 | 10 | 2
100 | 15 | 10 | 2
I want to find the number of pupils who have a particular assessment level by a particular PeriodId.
So far I have this:
SELECT PupilId, COUNT(1) FROM NCAssessment
WHERE AssessmentLevelId = 2
AND NCSubjectId=10
AND PeriodId <= 10
GROUP BY PupilId
Which finds the pupil ids, but pupil 100 has a count of 2. I guess I need to wrap this in another query but am stumped. Any suggestions?
This is using Azure SQL.
Thanks.
If I understand your question correctly, I think this might be what you are looking for:
AssessmentLevelId = 2 has been removed from the query, because some Periods may not have an assessment.
SELECT AssessmentLevelID, PeriodID, COUNT(DISTINCT PupilID)
FROM NCAssessment
WHERE NCSubjectId=10 AND
PeriodId <= 10
GROUP BY AssessmentLevelID, PeriodID
If this isn't correct, could you please post a sample result you are expecting. Thanks!
If you want the number of distinct pupils that match, then use count(distinct):
SELECT COUNT(DISTINCT PupilId) as NumMatchingPupils, COUNT(*) as NumMatchingAssessments
FROM NCAssessment
WHERE AssessmentLevelId = 2 AND NCSubjectId = 10 AND PeriodId <= 10;
COUNT(DISTINCT) will count each pupil once, regardless of the number of maps. COUNT(*) or COUNT(1) will count the number of assessments that match.
I have a table that is a list of paths between points. I want to create a query to return a list with pointID and range(number of point) from a given point. But have spent a day trying to figure this out and haven't go any where, does any one know how this should be done? ( I am writing this for MS-SQL 2005)
example
-- fromPointID | toPointID |
---------------|-----------|
-- 1 | 2 |
-- 2 | 1 |
-- 1 | 3 |
-- 3 | 1 |
-- 2 | 3 |
-- 3 | 2 |
-- 4 | 2 |
-- 2 | 4 |
with PointRanges ([fromPointID], [toPointID], [Range])
AS
(
-- anchor member
SELECT [fromPointID],
[toPointID],
0 AS [Range]
FROM dbo.[Paths]
WHERE [toPointID] = 1
UNION ALL
-- recursive members
SELECT P.[fromPointID],
P.[toPointID],
[Range] + 1 AS [Range]
FROM dbo.[Paths] AS P
INNER JOIN PointRanges AS PR ON PR.[toPointID] = P.[fromPointID]
WHERE [Range] < 5 -- This part is just added to limit the size of the table being returned
--WHERE P.[fromPointID] NOT IN (SELECT [toPointID] FROM PointRanges)
--Cant do the where statment I want to because it wont allow recurssion in the sub query
)
SELECT * FROM PointRanges
--Want this returned
-- PointID | Range |
-----------|-------|
-- 1 | 0 |
-- 2 | 1 |
-- 3 | 1 |
-- 4 | 2 |
Markus Jarderot's link gives a good answer for this. I end tried using his answer and also tried rewriting my problem in C# and linq but it ended up being more of a mathematical problem than a coding problem because I had a table with several thousands of point that interlinked. This is still something I am interested in and trying to get a better understanding of by reading books on mathematics and graph theory but if anyone else runs into this problem I think Markus Jarderot's link is the best answer you will find.
My data looks like:
run | line | checksum | group
-----------------------------
1 | 3 | 123 | 1
1 | 7 | 123 | 1
1 | 4 | 123 | 2
1 | 5 | 124 | 2
2 | 3 | 123 | 1
2 | 7 | 123 | 1
2 | 4 | 124 | 2
2 | 4 | 124 | 2
and I need a query that returns me the new entries in run 2
run | line | checksum | group
-----------------------------
2 | 4 | 124 | 2
2 | 4 | 124 | 2
I tried several things, but I never got to a satisfying answer.
In this case I'm using H2, but of course I'm interested in a general explanation that would help me to wrap my head around the concept.
EDIT:
OK, it's my first post here so please forgive if I didn't state the question precisely enough.
Basically given two run values (r1, r2, with r2 > r1) I want to determine which rows having row = r2 have a different line, checksum or group from any row where row = r1.
select * from yourtable
where run = 2 and checksum = (select max(checksum)
from yourtable)
Assuming your last run will have the higher run value than others, below SQL will help
select * from table1 t1
where t1.run in
(select max(t2.run) table1 t2)
Update:
Above SQL may not give you the right rows because your requirement is not so clear. But the overall idea is to fetch the rows based on the latest run parameters.
SELECT line, checksum, group
FROM TableX
WHERE run = 2
EXCEPT
SELECT line, checksum, group
FROM TableX
WHERE run = 1
or (with slightly different result):
SELECT *
FROM TableX x
WHERE run = 2
AND NOT EXISTS
( SELECT *
FROM TableX x2
WHERE run = 1
AND x2.line = x.line
AND x2.checksum = x.checksum
AND x2.group = x.group
)
A slightly different approach:
select min(run) run, line, checksum, group
from mytable
where run in (1,2)
group by line, checksum, group
having count(*)=1 and min(run)=2
Incidentally, I assume that the "group" column in your table isn't actually called group - this is a reserved word in SQL and would need to be enclosed in double quotes (or backticks or square brackets, depending on which RDBMS you are using).
I have a database table structured like this (irrelevant fields omitted for brevity):
rankings
------------------
(PK) indicator_id
(PK) alternative_id
(PK) analysis_id
rank
All fields are integers; the first three (labeled "(PK)") are a composite primary key. A given "analysis" has multiple "alternatives", each of which will have a "rank" for each of many "indicators".
I'm looking for an efficient way to compare an arbitrary number of analyses whose ranks for any alternative/indicator combination differ. So, for example, if we have this data:
analysis_id | alternative_id | indicator_id | rank
----------------------------------------------------
1 | 1 | 1 | 4
1 | 1 | 2 | 6
1 | 2 | 1 | 3
1 | 2 | 2 | 9
2 | 1 | 1 | 4
2 | 1 | 2 | 7
2 | 2 | 1 | 4
2 | 2 | 2 | 9
...then the ideal method would identify the following differences:
analysis_id | alternative_id | indicator_id | rank
----------------------------------------------------
1 | 1 | 2 | 6
2 | 1 | 2 | 7
1 | 2 | 1 | 3
2 | 2 | 1 | 4
I came up with a query that does what I want for 2 analysis IDs, but I'm having trouble generalizing it to find differences between an arbitrary number of analysis IDs (i.e. the user might want to compare 2, or 5, or 9, or whatever, and find any rows where at least one analysis differs from any of the others). My query is:
declare #analysisId1 int, #analysisId2 int;
select #analysisId1 = 1, #analysisId2 = 2;
select
r1.indicator_id,
r1.alternative_id,
r1.[rank] as Analysis1Rank,
r2.[rank] as Analysis2Rank
from rankings r1
inner join rankings r2
on r1.indicator_id = r2.indicator_id
and r1.alternative_id = r2.alternative_id
and r2.analysis_id = #analysisId2
where
r1.analysis_id = #analysisId1
and r1.[rank] != r2.[rank]
(It puts the analysis values into additional fields instead of rows. I think either way would work.)
How can I generalize this query to handle many analysis ids? (Or, alternatively, come up with a different, better query to do the job?) I'm using SQL Server 2005, in case it matters.
If necessary, I can always pull all the data out of the table and look for differences in code, but a SQL solution would be preferable since often I'll only care about a few rows out of thousands and there's no point in transferring them all if I can avoid it. (However, if you have a compelling reason not to do this in SQL, say so--I'd consider that a good answer too!)
This will return your desired data set - Now you just need a way to pass the required analysis ids to the query. Or potentially just filter this data inside your application.
select r.* from rankings r
inner join
(
select alternative_id, indicator_id
from rankings
group by alternative_id, indicator_id
having count(distinct rank) > 1
) differ on r.alternative_id = differ.alternative_id
and r.indicator_id = differ.indicator_id
order by r.alternative_id, r.indicator_id, r.analysis_id, r.rank
I don't know wich database you are using, in SQL Server I would go like this:
-- STEP 1, create temporary table with all the alternative_id , indicator_id combinations with more than one rank:
select alternative_id , indicator_id
into #results
from rankings
group by alternative_id , indicator_id
having count (distinct rank)>1
-- STEP 2, retreive the data
select a.* from rankings a, #results b
where a.alternative_id = b.alternative_id
and a.indicator_id = b. indicator_id
order by alternative_id , indicator_id, analysis_id
BTW, THe other answers given here need the count(distinct rank) !!!!!
I think this is what you're trying to do:
select
r.analysis_id,
r.alternative_id,
rm.indicator_id_max,
rm.rank_max
from rankings rm
join (
select
analysis_id,
alternative_id,
max(indicator_id) as indicator_id_max,
max(rank) as rank_max
from rankings
group by analysis_id,
alternative_id
having count(*) > 1
) as rm
on r.analysis_id = rm.analysis_id
and r.alternative_id = rm.alternative_id
You example differences seems wrong. You say you want analyses whose ranks for any alternative/indicator combination differ but the example rows 3 and 4 don't satisfy this criteria. A correct result according to your requirement is:
analysis_id | alternative_id | indicator_id | rank
----------------------------------------------------
1 | 1 | 2 | 6
2 | 1 | 2 | 7
1 | 2 | 1 | 3
2 | 2 | 1 | 4
On query you could try is this:
with distinct_ranks as (
select alternative_id
, indicator_id
, rank
, count (*) as count
from rankings
group by alternative_id
, indicator_id
, rank
having count(*) = 1)
select r.analysis_id
, r.alternative_id
, r.indicator_id
, r.rank
from rankings r
join distinct_ranks d on r.alternative_id = d.alternative_id
and r.indicator_id = d.indicator_id
and r.rank = d.rank
You have to realize that on multiple analysis the criteria you have is ambiguous. What if analysis 1,2 and 3 have rank 1 and 4,5 and 6 have rank 2 for alternative/indicator 1/1? The set (1,2,3) is 'different' from the set (4,5,6) but inside each set there is no difference. what is the behavior you desire in that case, should they show up or not? My query finds all records that have a different rank for the same alternative/indicator *from all other analysis' but is not clear if this is correct in your requirement.