I have a database which is used to store information about different matches for a game that I pull in from an external source. Due to a few issues, there are occasional gaps (which could be anywhere from 1 missing ID to a few hundred) in the database. I want to have the program pull in the data for the missing games, but I need to get that list first.
Here is the format of the table:
id (pk-identity) | GameID (int) | etc. | etc.
I had thought of writing a program to run through a loop and query for each GameID starting at 1, but it seems like there should be a more efficient way to get the missing numbers.
Is there an easy and efficient way, using SQL Server, to find all the missing numbers from the range?
The idea is to look at where the gaps start. Let me assume you are using SQL Server 2012, and so have the lag() and lead() functions. The following gets the next id:
select t.*, lead(id) over (order by id) as nextid
from t;
If there is a gap, then nextid <> id+1. You can now characterize the gaps using where:
select id+1 as FirstMissingId, nextid - 1 as LastMissingId
from (select t.*, lead(id) over (order by id) as nextid
from t
) t
where nextid <> id+1;
EDIT:
Without the lead(), I would do the same thing with a correlated subquery:
select id+1 as FirstMissingId, nextid - 1 as LastMissingId
from (select t.*,
(select top 1 id
from t t2
where t2.id > t.id
order by t2.id
) as nextid
from t
) t
where nextid <> id+1;
Assuming the id is a primary key on the table (or even that it just has an index), both methods should have reasonable performance.
Numbers table!
CREATE TABLE dbo.numbers (
number int NOT NULL
)
ALTER TABLE dbo.numbers
ADD
CONSTRAINT pk_numbers PRIMARY KEY CLUSTERED (number)
WITH FILLFACTOR = 100
GO
INSERT INTO dbo.numbers (number)
SELECT (a.number * 256) + b.number As number
FROM (
SELECT number
FROM master..spt_values
WHERE type = 'P'
AND number <= 255
) As a
CROSS
JOIN (
SELECT number
FROM master..spt_values
WHERE type = 'P'
AND number <= 255
) As b
GO
Then you can perform an OUTER JOIN or EXISTS` between your two tables and find the gaps...
SELECT *
FROM dbo.numbers
WHERE NOT EXISTS (
SELECT *
FROM your_table
WHERE id = numbers.number
)
-- OR
SELECT *
FROM dbo.numbers
LEFT
JOIN your_table
ON your_table.id = numbers.number
WHERE your_table.id IS NULL
I like the "gaps and islands" approach. It goes a little something like this:
WITH Islands AS (
SELECT GameId, GameID - ROW_NUMBER() OVER (ORDER BY GameID) AS [IslandID]
FROM dbo.yourTable
)
SELECT MIN(GameID), MAX(Game_id)
FROM Islands
GROUP BY IslandID
That query will get you the list of contiguous ranges. From there, you can self-join that result set (on successive IslandIDs) to get the gaps. There is a bit of work in getting the IslandIDs themselves to be contiguous though. So, extending the above query:
WITH
cte1 AS (
SELECT GameId, GameId - ROW_NUMBER() OVER (ORDER BY GameId) AS [rn]
FROM dbo.yourTable
)
, cte2 AS (
SELECT [rn], MIN(GameId) AS [Start], MAX(GameId) AS [End]
FROM cte1
GROUP BY [rn]
)
,Islands AS (
SELECT ROW_NUMBER() OVER (ORDER BY [rn]) AS IslandId, [Start], [End]
from cte2
)
SELECT a.[End] + 1 AS [GapStart], b.[Start] - 1 AS [GapEnd]
FROM Islands AS a
LEFT JOIN Islands AS b
ON a.IslandID + 1 = b.IslandID
SELECT * FROM #tab1
id col1
----------- --------------------
1 a
2 a
3 a
8 a
9 a
10 a
11 a
15 a
16 a
17 a
18 a
WITH cte (id,nextId) as
(SELECT t.id, (SELECT TOP 1 t1.id FROM #tab1 t1 WHERE t1.id > t.id) AS nextId FROM #tab1 t)
SELECT id AS 'GapStart', nextId AS 'GapEnd' FROM cte
WHERE id + 1 <> nextId
GapStart GapEnd
----------- -----------
3 8
11 15
Try this (This covers upto 10000 Ids starting from 1, if you need more you can add more to Numbers table below):
;WITH Digits AS (
select Digit
from ( values (0),(1),(2),(3),(4),(5),(6),(7),(8),(9)) as t(Digit))
,Numbers AS (
select u.Digit
+ t.Digit*10
+ h.Digit*100
+ th.Digit*1000
+ tth.Digit*10000
--Add 10000, 100000 multipliers if required here.
as myId
from Digits u
cross join Digits t
cross join Digits h
cross join Digits th
cross join Digits tth
--Add the cross join for higher numbers
)
SELECT myId
FROM Numbers
WHERE myId NOT IN (SELECT GameId FROM YourTable)
Problem: we need to find the gap range in id field
SELECT * FROM #tab1
id col1
----------- --------------------
1 a
2 a
3 a
8 a
9 a
10 a
11 a
15 a
16 a
17 a
18 a
Solution
WITH cte (id,nextId) as
(SELECT t.id, (SELECT TOP 1 t1.id FROM #tab1 t1 WHERE t1.id > t.id) AS nextId FROM #tab1 t)
SELECT id + 1, nextId - 1 FROM cte
WHERE id + 1 <> nextId
Output
GapStart GapEnd
----------- -----------
4 7
12 14
Related
I need to concatenate the name in a recursive cross join way. I don't know how to do this, I have tried a CTE using WITH RECURSIVE but no success.
I have a table like this:
group_id | name
---------------
13 | A
13 | B
19 | C
19 | D
31 | E
31 | F
31 | G
Desired output:
combinations
------------
ACE
ACF
ACG
ADE
ADF
ADG
BCE
BCF
BCG
BDE
BDF
BDG
Of course, the results should multiply if I add a 4th (or more) group.
Native Postgresql Syntax:
SqlFiddleDemo
WITH RECURSIVE cte1 AS
(
SELECT *, DENSE_RANK() OVER (ORDER BY group_id) AS rn
FROM mytable
),cte2 AS
(
SELECT
CAST(name AS VARCHAR(4000)) AS name,
rn
FROM cte1
WHERE rn = 1
UNION ALL
SELECT
CAST(CONCAT(c2.name,c1.name) AS VARCHAR(4000)) AS name
,c1.rn
FROM cte1 c1
JOIN cte2 c2
ON c1.rn = c2.rn + 1
)
SELECT name as combinations
FROM cte2
WHERE LENGTH(name) = (SELECT MAX(rn) FROM cte1)
ORDER BY name;
Before:
I hope if you don't mind that I use SQL Server Syntax:
Sample:
CREATE TABLE #mytable(
ID INTEGER NOT NULL
,TYPE VARCHAR(MAX) NOT NULL
);
INSERT INTO #mytable(ID,TYPE) VALUES (13,'A');
INSERT INTO #mytable(ID,TYPE) VALUES (13,'B');
INSERT INTO #mytable(ID,TYPE) VALUES (19,'C');
INSERT INTO #mytable(ID,TYPE) VALUES (19,'D');
INSERT INTO #mytable(ID,TYPE) VALUES (31,'E');
INSERT INTO #mytable(ID,TYPE) VALUES (31,'F');
INSERT INTO #mytable(ID,TYPE) VALUES (31,'G');
Main query:
WITH cte1 AS
(
SELECT *, rn = DENSE_RANK() OVER (ORDER BY ID)
FROM #mytable
),cte2 AS
(
SELECT
TYPE = CAST(TYPE AS VARCHAR(MAX)),
rn
FROM cte1
WHERE rn = 1
UNION ALL
SELECT
[Type] = CAST(CONCAT(c2.TYPE,c1.TYPE) AS VARCHAR(MAX))
,c1.rn
FROM cte1 c1
JOIN cte2 c2
ON c1.rn = c2.rn + 1
)
SELECT *
FROM cte2
WHERE LEN(Type) = (SELECT MAX(rn) FROM cte1)
ORDER BY Type;
LiveDemo
I've assumed that the order of "cross join" is dependent on ascending ID.
cte1 generate DENSE_RANK() because your IDs contain gaps
cte2 recursive part with CONCAT
main query just filter out required length and sort string
The recursive query is a bit simpler in Postgres:
WITH RECURSIVE t AS ( -- to produce gapless group numbers
SELECT dense_rank() OVER (ORDER BY group_id) AS grp, name
FROM tbl
)
, cte AS (
SELECT grp, name
FROM t
WHERE grp = 1
UNION ALL
SELECT t.grp, c.name || t.name
FROM cte c
JOIN t ON t.grp = c.grp + 1
)
SELECT name AS combi
FROM cte
WHERE grp = (SELECT max(grp) FROM t)
ORDER BY 1;
The basic logic is the same as in the SQL Server version provided by #lad2025, I added a couple of minor improvements.
Or you can use a simple version if your maximum number of groups is not too big (can't be very big, really, since the result set grows exponentially). For a maximum of 5 groups:
WITH t AS ( -- to produce gapless group numbers
SELECT dense_rank() OVER (ORDER BY group_id) AS grp, name AS n
FROM tbl
)
SELECT concat(t1.n, t2.n, t3.n, t4.n, t5.n) AS combi
FROM (SELECT n FROM t WHERE grp = 1) t1
LEFT JOIN (SELECT n FROM t WHERE grp = 2) t2 ON true
LEFT JOIN (SELECT n FROM t WHERE grp = 3) t3 ON true
LEFT JOIN (SELECT n FROM t WHERE grp = 4) t4 ON true
LEFT JOIN (SELECT n FROM t WHERE grp = 5) t5 ON true
ORDER BY 1;
Probably faster for few groups. LEFT JOIN .. ON true makes this work even if higher levels are missing. concat() ignores NULL values. Test with EXPLAIN ANALYZE to be sure.
SQL Fiddle showing both.
I have a table that contains keys that have been changed to a different key. These are laid out like this:
origkey newkey
1 2
2 3
4 5
6 7
7 8
8 9
9 10
What I'm trying to accomplish is a query that takes the origkey and finds the max newkey for each one. In the example above, the results would look like:
origkey maxkey
1 3
4 5
6 10
If I knew the maximum amount of times that the key could have been changed, I would just add that amount of self joins and get it from there. Unfortunately, I don't know how many times it could have changed in the past. Is there a way to keep self joining until it finds a null? The following query will return the changed keys into new columns, but I think I'm going down the wrong road here since this will get the 1 -> 3 change, but not the 6 -> 10 change.
select a.origkey
,a.newkey
,b.newkey newkey1
,c.newkey newkey2
from changedkeys a
Left Outer Join changedkeys b on a.newkey=b.origkey
Left Outer Join changedkeys c on b.newkey=c.origkey
There is a way. It is called a recursive CTE:
with cte as (
select origkey, newkey, 1 as lev
from table1
union all
select cte.origkey, t1.newkey, lev + 1
from cte join
table1 t1
on cte.newkey = t1.origkey
)
select origkey, newkey as newestkey
from (select cte.*, row_number() over (partition by origkey order by lev desc) as seqnum
from cte
) t
where seqnum = 1;
Note that this assumes that there are no cycles in the key definitions, as in the example in your question. If this is a possibility, the recursive CTE can be modified to handle this.
EDIT:
If you have potential cycles in the data, then try this:
with cte as (
select origkey, newkey, 1 as lev, ',' + cast(newkey as varchar(8000)) + ',' as keys
from table1
union all
select cte.origkey, t1.newkey, cte.lev + 1, keys + cast(t1.newkey as varchar(8000)) + ','
from cte join
table1 t1
on cte.newkey = t1.origkey
where ',' + t1.keys + ',' not like '%,' + cast(t1.newkey as varchar(8000)) + '%,'
)
select origkey, newkey as newestkey
from (select cte.*, row_number() over (partition by origkey order by lev desc) as seqnum
from cte
) t
where seqnum = 1;
Class| Value
-------------
A | 1
A | 2
A | 3
A | 10
B | 1
I am not sure whether it is practical to achieve this using SQL.
If the difference of values are less than 5 (or x), then group the rows (of course with the same Class)
Expected result
Class| ValueMin | ValueMax
---------------------------
A | 1 | 3
A | 10 | 10
B | 1 | 1
For fixed intervals, we can easily use "GROUP BY". But now the grouping is based on nearby row's value. So if the values are consecutive or very close, they will be "chained together".
Thank you very much
Assuming MSSQL
You are trying to group things by gaps between values. The easiest way to do this is to use the lag() function to find the gaps:
select class, min(value) as minvalue, max(value) as maxvalue
from (select class, value,
sum(IsNewGroup) over (partition by class order by value) as GroupId
from (select class, value,
(case when lag(value) over (partition by class order by value) > value - 5
then 0 else 1
end) as IsNewGroup
from t
) t
) t
group by class, groupid;
Note that this assumes SQL Server 2012 for the use of lag() and cumulative sum.
Update:
*This answer is incorrect*
Assuming the table you gave is called sd_test, the following query will give you the output you are expecting
In short, we need a way to find what was the value on the previous row. This is determined using a join on row ids. Then create a group to see if the difference is less than 5. and then it is just regular 'Group By'.
If your version of SQL Server supports windowing functions with partitioning the code would be much more readable.
SELECT
A.CLASS
,MIN(A.VALUE) AS MIN_VALUE
,MAX(A.VALUE) AS MAX_VALUE
FROM
(SELECT
ROW_NUMBER()OVER(PARTITION BY CLASS ORDER BY VALUE) AS ROW_ID
,CLASS
,VALUE
FROM SD_TEST) AS A
LEFT JOIN
(SELECT
ROW_NUMBER()OVER(PARTITION BY CLASS ORDER BY VALUE) AS ROW_ID
,CLASS
,VALUE
FROM SD_TEST) AS B
ON A.CLASS = B.CLASS AND A.ROW_ID=B.ROW_ID+1
GROUP BY A.CLASS,CASE WHEN ABS(COALESCE(B.VALUE,0)-A.VALUE)<5 THEN 1 ELSE 0 END
ORDER BY A.CLASS,cASE WHEN ABS(COALESCE(B.VALUE,0)-A.VALUE)<5 THEN 1 ELSE 0 END DESC
ps: I think the above is ANSI compliant. So should run in most SQL variants. Someone can correct me if it is not.
These give the correct result, using the fact that you must have the same number of group starts as ends and that they will both be in ascending order.
if object_id('tempdb..#temp') is not null drop table #temp
create table #temp (class char(1),Value int);
insert into #temp values ('A',1);
insert into #temp values ('A',2);
insert into #temp values ('A',3);
insert into #temp values ('A',10);
insert into #temp values ('A',13);
insert into #temp values ('A',14);
insert into #temp values ('b',7);
insert into #temp values ('b',8);
insert into #temp values ('b',9);
insert into #temp values ('b',12);
insert into #temp values ('b',22);
insert into #temp values ('b',26);
insert into #temp values ('b',67);
Method 1 Using CTE and row offsets
with cte as
(select distinct class,value,ROW_NUMBER() over ( partition by class order by value ) as R from #temp),
cte2 as
(
select
c1.class
,c1.value
,c2.R as PreviousRec
,c3.r as NextRec
from
cte c1
left join cte c2 on (c1.class = c2.class and c1.R= c2.R+1 and c1.Value < c2.value + 5)
left join cte c3 on (c1.class = c3.class and c1.R= c3.R-1 and c1.Value > c3.value - 5)
)
select
Starts.Class
,Starts.Value as StartValue
,Ends.Value as EndValue
from
(
select
class
,value
,row_number() over ( partition by class order by value ) as GroupNumber
from cte2
where PreviousRec is null) as Starts join
(
select
class
,value
,row_number() over ( partition by class order by value ) as GroupNumber
from cte2
where NextRec is null) as Ends on starts.class=ends.class and starts.GroupNumber = ends.GroupNumber
** Method 2 Inline views using not exists **
select
Starts.Class
,Starts.Value as StartValue
,Ends.Value as EndValue
from
(
select class,Value ,row_number() over ( partition by class order by value ) as GroupNumber
from
(select distinct class,value from #temp) as T
where not exists (select 1 from #temp where class=t.class and Value < t.Value and Value > t.Value -5 )
) Starts join
(
select class,Value ,row_number() over ( partition by class order by value ) as GroupNumber
from
(select distinct class,value from #temp) as T
where not exists (select 1 from #temp where class=t.class and Value > t.Value and Value < t.Value +5 )
) ends on starts.class=ends.class and starts.GroupNumber = ends.GroupNumber
In both methods I use a select distinct to begin because if you have a dulpicate entry at a group start or end things go awry without it.
Here is one way of getting the information you are after:
SELECT Under5.Class,
(
SELECT MIN(m2.Value)
FROM MyTable AS m2
WHERE m2.Value < 5
AND m2.Class = Under5.Class
) AS ValueMin,
(
SELECT MAX(m3.Value)
FROM MyTable AS m3
WHERE m3.Value < 5
AND m3.Class = Under5.Class
) AS ValueMax
FROM
(
SELECT DISTINCT m1.Class
FROM MyTable AS m1
WHERE m1.Value < 5
) AS Under5
UNION
SELECT Over4.Class,
(
SELECT MIN(m4.Value)
FROM MyTable AS m4
WHERE m4.Value >= 5
AND m4.Class = Over4.Class
) AS ValueMin,
(
SELECT Max(m5.Value)
FROM MyTable AS m5
WHERE m5.Value >= 5
AND m5.Class = Over4.Class
) AS ValueMax
FROM
(
SELECT DISTINCT m6.Class
FROM MyTable AS m6
WHERE m6.Value >= 5
) AS Over4
I want to get All records that has duplicate values for SOME of the fields (i.e. Key columns).
My code:
CREATE TABLE #TEMP (ID int, Descp varchar(5), Extra varchar(6))
INSERT INTO #Temp
SELECT 1,'One','Extra1'
UNION ALL
SELECT 2,'Two','Extra2'
UNION ALL
SELECT 3,'Three','Extra3'
UNION ALL
SELECT 1,'One','Extra4'
SELECT ID, Descp, Extra FROM #TEMP
;WITH Temp_CTE AS
(SELECT *
, ROW_NUMBER() OVER (PARTITION BY ID, Descp ORDER BY (SELECT 0))
AS DuplicateRowNumber
FROM #TEMP
)
SELECT * FROM Temp_cte
DROP TABLE #TEMP
The last column tells me how many times each row has appeared based on ID and Descp values.
I want that row but I ALSO need another column* that indicates both rows for ID = 1 and Descp = 'One' has showed up more than once.
So an extra column* (i.e. MultipleOccurances (bool)) which has 1 for two rows with ID = 1 and Descp = 'One' and 0 for other rows as they are only showing up once.
How can I achieve that? (I want to avoid using Count(1)>1 or something if possible.
Edit:
Desired output:
ID Descp Extra DuplicateRowNumber IsMultiple
1 One Extra1 1 1
1 One Extra4 2 1
2 Two Extra2 1 0
3 Three Extra3 1 0
SQL Fiddle
You say "I want to avoid using Count" but it is probably the best way. It uses the partitioning you already have on the row_number
SELECT *,
ROW_NUMBER() OVER (PARTITION BY ID, Descp
ORDER BY (SELECT 0)) AS DuplicateRowNumber,
CASE
WHEN COUNT(*) OVER (PARTITION BY ID, Descp) > 1 THEN 1
ELSE 0
END AS IsMultiple
FROM #Temp
And the execution plan just shows a single sort
Well, I have this solution, but using a Count...
SELECT T1.*,
ROW_NUMBER() OVER (PARTITION BY T1.ID, T1.Descp ORDER BY (SELECT 0)) AS DuplicateRowNumber,
CASE WHEN T2.C = 1 THEN 0 ELSE 1 END MultipleOcurrences FROM #temp T1
INNER JOIN
(SELECT ID, Descp, COUNT(1) C FROM #TEMP GROUP BY ID, Descp) T2
ON T1.ID = T2.ID AND T1.Descp = T2.Descp
Simplifying my problem down - I have 6-digit field which assigns numbers to customers starting from 1 and ending to 999999. Most numbers are sequentially assigned, but numbers can be assigned manually by users, and this feature has been used in an unpredicatable pattern throughout the range.
We now need to identify numbers that have not been assigned (easy) - and then convert this into a number of ranges (seems complex).
For example given the following numbers have been assigned
1,2,3,4,5,
1001,1002,1003,1004,1005,
999101,999102,999103,999104,999105
I need a resulting set of ranges like
Start End
6 1000
1006 999100
999106 999999
My thinking so far is this is probably too complex to write in queries - and best achieved by looping from 1 to 999999, and adding ranges to a temp table.
Interested to hear ideas as I can imagine there are a few approaches. I'm using SQL Server 2008 R2. This is a one-off exercise so even a non-SQL solution might be appropriate, if this were for example easily done in Excel.
Try this
declare #t table (num int)
insert #t values (2),(3),(6),(7),(9),(10),(11)
select
MIN(number) as rangestart,
MAX(number) as rangeend
from
(
select *,
ROW_NUMBER() over (order by number) -
ROW_NUMBER() over (order by num,number) grp
from
(
select number from master..spt_values where type='p' and number between 1 and 15
) numbers
left join #t t
on numbers.number = t.num
) v
where num is null
group by grp
Reference : gaps and islands by itzik ben-gan
To create a numbers query upto 999999
select p1.number + p2.number * 2048 as number
from
(select * from master..spt_values where type='p' ) p1,
(select * from master..spt_values where type='p' and number<489) p2
where p1.number + p2.number * 2048 <=999999
declare #t table (num int)
insert #t values
(2),(3),(4),(5),
(1001),(1002),(1003),(1004),(1005),
(999101),(999102),(999103),(999104),(999105)
;with cte as
(
select num,(ROW_NUMBER() OVER(ORDER BY num)) + 1 as idx from #t
union
select 0 [num],1 [idx] --start boundary
union
select 1000000 [num],COUNT(num) + 2 [idx] from #t --end boundary
)
select c1.num + 1 [Start], c2.num - 1 [End]
from cte c1
inner join cte c2 on c2.idx = c1.idx + 1
where c2.num != c1.num + 1
create table #temp (id int)
insert into #temp (id)
values (1),(2),(3),(1000),(1001),(1002),(2000)
--drop table #temp
with cte as
(
select *, ROW_NUMBER() over(order by id) as rn
from #temp a
)
select a.id + 1, b.id - 1
from cte a join cte b on a.rn = b.rn - 1 and a.id <> b.id -1
it wont include tail ranges, like 2001-9999
Here is SQLFiddle demo
select
case when max(n1)=0 then 1 else max(n1)end,
case when max(n2)=0 then 999999 else max(n2)end
from
(
select t.n+1 as n1,0 n2,
row_number() over(order by t.n)
+isnull((select 0 from t where n=1),1)
rn
from t
left join t t2 on t.n+1=t2.n
where t2.n is null
union all
select 0 n1, t.n-1 as n2 ,
row_number() over(order by t.n) rn
from t
left join t t2 on t.n-1=t2.n
where t2.n is null
and t.n>1
) t3
group by rn
declare #t table(id int)
insert #t values
(1),(2),(3),(4),(5),(1001),(1002),(1003),(1004),(1005),
(999101),(999102),(999103),(999104),(999105)
select t1.id+1 [start], coalesce(t3.[end], 999999) [end]
from #t t1
left join #t t2 on t1.id +1 = t2.id
cross apply
(select min(id)-1 [end] from #t where t1.id < id
) t3
where t2.id is null
if you have a table called "kh" for example with a column "myval" which is your list of integers you could try this SELECT.
SELECT MAX(t1.myval+1) AS 'StartRange',t3.myval-1 AS 'EndRange'
FROM kh t1, kh t3
WHERE t1.myval+1 NOT IN (SELECT myval FROM kh t2 ORDER BY myval)
AND t3.myval-1 NOT IN (SELECT myval FROM kh t4 ORDER BY myval)
AND t1.myval < t3.myval
GROUP BY t3.myval
ORDER BY StartRange