Group close numbers

I have a table with 2 columns of integers. The first column represents start index and the second column represents end index.

START END
1     8
9     13
14    20
20    25
30    42
42    49
60    67

Simple So far开发者_运维百科. What I would like to do is group all the records that follow together:

START END
1     25
30    49
60    67

A record can follow by Starting on the same index as the previous end index or by a margin of 1:

START END
1     10
10    20

And

START END
1     10
11    20

will both result in

START END
1     20

I'm using SQL Server 2008 R2.

Any help would be Great

This works for your example, let me know if it doesn't work for other data

create table #Range 
(
  [Start] INT,
  [End] INT
)

insert into #Range ([Start], [End]) Values (1, 8)
insert into #Range ([Start], [End]) Values (9, 13)
insert into #Range ([Start], [End]) Values (14, 20)
insert into #Range ([Start], [End]) Values (20, 25)
insert into #Range ([Start], [End]) Values (30, 42)
insert into #Range ([Start], [End]) Values (42, 49)
insert into #Range ([Start], [End]) Values (60, 67)



;with RangeTable as
(select
    t1.[Start],
    t1.[End],
    row_number() over (order by t1.[Start]) as [Index]
from
    #Range t1
where t1.Start not in (select 
                      [End] 
               from
                  #Range
                  Union
               select 
                  [End] + 1
               from
                  #Range
               )
)
select 
    t1.[Start],
    case 
   when t2.[Start] is null then
        (select max([End])
                     from #Range)
       else
        (select max([End])
                     from #Range
                     where t2.[Start] > [End])
end as [End]    
from 
    RangeTable t1
left join 
    RangeTable t2
on
    t1.[Index] = t2.[Index]-1 

drop table #Range;

Edited to include another version which i think is a bit more reliable, and also works with overlapping ranges

CREATE TABLE #data (start_range INT, end_range INT)
INSERT INTO #data VALUES (1,8) 
INSERT INTO #data VALUES (2,15) 
INSERT INTO #data VALUES (9,13)
INSERT INTO #data VALUES (14,20) 
INSERT INTO #data VALUES (13,26) 
INSERT INTO #data VALUES (12,21) 
INSERT INTO #data VALUES (9,25) 
INSERT INTO #data VALUES (20,25) 
INSERT INTO #data VALUES (30,42) 
INSERT INTO #data VALUES (42,49) 
INSERT INTO #data VALUES (60,67)   

;with ranges as
(
SELECT start_range as level
,end_range as end_range
,row_number() OVER (PARTITION BY (SELECT NULL) ORDER BY start_range) as row
FROM #data
UNION ALL
SELECT
level + 1 as level
,end_range as end_range
,row
From ranges 
WHERE level < end_range
)
,ranges2 AS
(
SELECT DISTINCT 
level
FROM ranges
)
,ranges3 AS
(
SELECT 
level
,row_number() OVER (ORDER BY level) - level as grouping_group
from ranges2
)
SELECT 
MIN(level) as start_number
,MAX(level) as end_number
FROM ranges3
GROUP BY grouping_group
ORDER BY start_number ASC

I think this should work - might not be especially efficient on larger sets though...

CREATE TABLE #data (start_range INT, end_range INT)
INSERT INTO #data VALUES (1,8)
INSERT INTO #data VALUES (2,15)
INSERT INTO #data VALUES (9,13)
INSERT INTO #data VALUES (14,20)
INSERT INTO #data VALUES (21,25)
INSERT INTO #data VALUES (30,42)
INSERT INTO #data VALUES (42,49)
INSERT INTO #data VALUES (60,67)


;with overlaps as
(
select * 
,end_range - start_range as range
,row_number() OVER (PARTITION BY (SELECT NULL) ORDER BY start_range ASC) as line_number
from #data
)
,overlaps2 AS
(
SELECT
O1.start_range
,O1.end_range
,O1.line_number
,O1.range
,O2.start_range as next_range
,CASE WHEN O2.start_range - O1.end_range < 2 THEN 1 ELSE 0 END as overlap
,O1.line_number - DENSE_RANK() OVER (PARTITION BY (CASE WHEN O2.start_range - O1.end_range < 2 THEN 1 ELSE 0 END) ORDER BY O1.line_number ASC) as overlap_group
FROM overlaps O1
LEFT OUTER JOIN overlaps O2 on O2.line_number = O1.line_number + 1
)
SELECT 
MIN(start_range) as range_start
,MAX(end_range) as range_end
,MAX(end_range) - MIN(start_range) as range_span
FROM overlaps2
GROUP BY overlap_group

You could use a number table to solve this problem. Basically, you first expand the ranges, then combine subsequent items in groups.

Here's one implementation:

WITH data (START, [END]) AS (
  SELECT  1,  8 UNION ALL
  SELECT  9, 13 UNION ALL
  SELECT 14, 20 UNION ALL
  SELECT 20, 25 UNION ALL
  SELECT 30, 42 UNION ALL
  SELECT 42, 49 UNION ALL
  SELECT 60, 67
),
expanded AS (
  SELECT DISTINCT
    N = d.START + v.number
  FROM data d
    INNER JOIN master..spt_values v ON v.number BETWEEN 0 AND d.[END] - d.START
  WHERE v.type = 'P'
),
marked AS (
  SELECT
    N,
    SeqID = N - ROW_NUMBER() OVER (ORDER BY N)
  FROM expanded
)
SELECT
  START = MIN(N),
  [END] = MAX(N)
FROM marked
GROUP BY SeqID

This solution uses master..spt_values as a number table, for expanding the initial ranges. But if (all or some of) those ranges may span more than 2048 (subsequent) values, then you should define and use your own number table.