I have a table like
ID Grps Vals
--- ---- -----
1 1 1
1 1 3
1 1 45
1 2 23
1 2 34
1 2 66
1 3 10
1 3 17
1 3 77
2 1 144
2 1 344
2 1 555
2 2 11
2 2 22
2 2 33
2 3 55
2 3 67
2 3 77
The desired output being
ID Record1 Record2 Record3
--- ------- ------- -------
1 1 23 10
1 3 34 17
1 45 66 77
2 144 11 55
2 344 22 67
2 555 33 77
I have tried(using while loop) but the program is running slow. I have been asked to do so by using SET based approach. My approach so far is
SELECT ID,[1] AS [Record1], [2] AS [Record2], [3] as [Record3]
FROM (
Select
Row_Number() Over(Partition By ID Order By Vals) records
,*
From myTable)x
PIVOT
(MAX(vals) FOR Grps IN ([1],[2],[3])) p
But it is not working.
Can any one please help to solve this.(SQL SERVER 2005)
You were almost there! All I had to do was add the necessary columns to the Partition By and Order By clauses, and it worked:
SELECT ID,[1] AS [Record1], [2] AS [Record2], [3] as [Record3]
FROM (
Select
Row_Number() Over(Partition By id, grps Order By id, grps, vals) records
,*
From myTable)x
PIVOT
(MAX(vals) FOR Grps IN ([1],[2],[3])) p
A simpler approach that would not involve the use of PIVOT would something like:
;With ItemGroups As
(
Select Id, Grps, Vals
, Row_Number() Over ( Partition By Id, Grps Order By Vals ) As RowNum
From myTable
)
Select Id
, Max( Case When Grps = 1 Then Vals End )
, Max( Case When Grps = 2 Then Vals End )
, Max( Case When Grps = 3 Then Vals End )
From ItemGroups
Group By Id, RowNum
Order By Id
This may not apply to you but if your using a while loop like....
while( x<Total.length() ){
....do something
}
you should declare Total.length outside of the loop assigned to a variable...
int spoon= Total.length();
while( x< spoon ){
....do something
}
or else
you calculate the number Total.length()every time the loop runs
Related
This question already has answers here:
How do I limit the number of rows returned by an Oracle query after ordering?
(14 answers)
Closed 8 months ago.
I want to select the TOP 3 Records ordered desc by 'cnt'
this is top 4
a b c cnt
99 YC 市購件異常 3
99 LY 漏油 2
99 QT16 其他異常 2
99 JGSH 機構損壞 1
then
select * from ()where rownum<= 3 order by cnt desc
get data
99 YC 市購件異常 3
99 LY 漏油 2
99 JGSH 機構損壞 1
i want to get
99 YC 市購件異常 3
99 LY 漏油 2
99 QT16 其他異常 2
Try this:
SELECT T.a, T.b, T.c, T.cnt
FROM
(
SELECT *, RANK() OVER(PARTITION BY a ORDER BY cnt DESC) RNK
FROM TEST_TBL
) T
WHERE T.RNK <= 3
It looks like you want to keep "duplicates" (in the cnt column) in the result.
In that case, I'd say that it is row_number analytic function that helps:
Sample data:
SQL> with test (a, b, cnt) as
2 (select 99, 'yc' , 3 from dual union all
3 select 99, 'ly' , 2 from dual union all
4 select 99, 'qt16', 2 from dual union all
5 select 99, 'jgsh', 1 from dual union all
6 --
7 select 99, 'abc' , 2 from dual --> yet another row with CNT = 2
8 ),
Query begins here: first rank rows (line #11), and then return the top 3 (line #15):
9 temp as
10 (select a, b, cnt,
11 row_number() over (partition by a order by cnt desc) rnk
12 from test
13 )
14 select * from temp
15 where rnk <= 3;
A B CNT RNK
---------- ---- ---------- ----------
99 yc 3 1
99 ly 2 2
99 abc 2 3
SQL>
Because, if you use rank analytic function (as Hana suggested), you might get more than desired 3 rows (see the rnk column's values) (depending on data you work with, of course; rank works with data you posted, but - if there are more rows that share the same cnt value, it won't work any more):
<snip>
9 temp as
10 (select a, b, cnt,
11 rank() over (partition by a order by cnt desc) rnk
12 from test
13 )
14 select * from temp
15 where rnk <= 3;
A B CNT RNK
---------- ---- ---------- ----------
99 yc 3 1
99 ly 2 2
99 abc 2 2
99 qt16 2 2
SQL>
For example, N is 10 and a table looks like
id
1
2
3
4
5
6
7
10
11
12
13
108
109
111
112
113
Need to find first N rows that have unique value with mod(id, N).
Expected result is
mod10
1
2
3
4
5
6
7
10
108
109
I've tried something like
select *
from
(
select id, id % 10 as seq_id
from accounts order by id
) as s1
group by s1.seq_id limit 10;`
but not working.
You can use window function here -
SELECT id
FROM (SELECT id, ROW_NUMBER() OVER(PARTITION BY id % 10 ORDER BY id) RN
FROM table_name
) X
WHERE RN = 1
ORDER BY id
You can try the below one - using row_number()
DEMO
with cte as
(
select id, row_number() over(partition by seq_id order by id) as rn
from
(
select id, id % 10 as seq_id from tablename
)A
)
select id from cte where rn=1 order by id
OUTPUT:
id
1
2
3
4
5
6
7
10
108
109
I wrote these 2 queries, the first one is keeping duplicates and the second one is dropping them
Does anyone know a more efficient way to achieve this?
Queries are for MSSQL, returning the top 3 values
1-
SELECT TMP.entity_id, TMP.value
FROM(
SELECT TAB.entity_id, LEAD(TAB.entity_id, 3, 0) OVER(ORDER BY TAB.entity_id, TAB.value) AS next_id, TAB.value
FROM mytable TAB
) TMP
WHERE TMP.entity_id <> TMP.next_id
2-
SELECT TMP.entity_id, TMP.value
FROM(
SELECT TMX.entity_id, LEAD(TMX.entity_id, 3, 0) OVER(ORDER BY TMX.entity_id, TMX.value) AS next_id, TMX.value
FROM(
SELECT TAB.entity_id, LEAD(TAB.entity_id, 1, 0) OVER(ORDER BY TAB.entity_id, TAB.value) AS next_id, TAB.value, LEAD(TAB.value, 1, 0) OVER(ORDER BY TAB.entity_id, TAB.value) AS next_value
FROM mytable TAB
) TMX
WHERE TMP.entity_id <> TMP.next_id OR TMX.value <> TMX.next_value
) TMP
WHERE TMP.entity_id <> TMP.next_id
Example:
Table:
entity_id value
--------- -----
1 9
1 11
1 12
1 3
2 25
2 25
2 5
2 37
3 24
3 9
3 2
3 15
Result Query 1 (25 appears twice for entity_id 2):
entity_id value
--------- -----
1 9
1 11
1 12
2 25
2 25
2 37
3 9
3 15
3 24
Result Query 2 (25 appears only once for entity_id 2):
entity_id value
--------- -----
1 9
1 11
1 12
2 5
2 25
2 37
3 9
3 15
3 24
You can use the ROW_NUMBER which will allow duplicates as follows:
select entity_id, value from
(select t.*, row_number() over (partition by entity_id order by value desc) as rn
from your_Table) where rn <= 3
You can use the rank to remove the duplicate as follows:
select distinct entity_id, value from
(select t.*, rank() over (partition by entity_id order by value desc) as rn
from your_Table) where rn <= 3
I have a list of stock transactions and I am using Over(Partition By) to calculate the running totals (positions) by security. Over time a holding in a particular security can be long, short or flat. I am trying to find an efficient way to extract only the transactions relating to the current position for each security.
I have created a simplified sqlfiddle to show what I have so far. The cte query generates the running total for each security (code_id) and identifies when the holdings are long (L), short (s) or flat (f). What I need is to group and number matching contiguous values of L, S or F for each code_id.
What I have so far is this:
; WITH RunningTotals as
(
SELECT
*,
RunningTotal = sum(qty) OVER (Partition By code_id Order By id)
FROM
TradeData
), LongShortFlat as
(
SELECT
*,
LSF = CASE
WHEN RunningTotal > 0 THEN 'L'
WHEN RunningTotal < 0 THEN 'S'
ELSE 'F'
END
FROM
RunningTotals
)
SELECT
*
FROM
LongShortFlat r
I think what I need to do is create a GroupNum column by applying a row_number for each group of L, S and F within each code_id so the results look like this:
id code_id qty RunningTotal LSF GroupNum
1 1 5 5 L 1
2 1 2 7 L 1
3 1 7 14 L 1
4 1 -3 11 L 1
5 1 -5 6 L 1
6 1 -6 0 F 2
7 1 5 5 L 3
8 1 5 10 L 3
9 1 -2 8 L 3
10 1 -4 4 L 3
11 2 5 5 L 1
12 2 3 8 L 1
13 2 -4 4 L 1
14 2 -2 2 L 1
15 2 -2 0 F 2
16 2 6 6 L 3
17 2 -5 1 L 3
18 2 -5 -4 S 4
19 2 2 -2 S 4
20 2 4 2 L 5
21 2 -5 -3 S 6
22 2 -2 -5 S 6
23 3 5 5 L 1
24 3 2 7 L 1
25 3 1 8 L 1
I am struggling to generate the GroupNum column.
Thanks in advance for your help.
[Revised]
Sorry about that, I read your question too quickly. I came up with a solution using a recursive common table expression (below), then saw that you've worked out a solution using LAG. I'll post my revised query anyway, for posterity. Either way, the resulting query is (imho) pretty ugly.
;WITH cteBaseAgg
as (
-- Build the "sum increases over time" data
SELECT
row_number() over (partition by td.code_id order by td.code_id, td.Id) RecurseKey
,td.code_id
,td.id
,td.qty
,sum(tdPrior.qty) RunningTotal
,case
when sum(tdPrior.qty) > 0 then 'L'
when sum(tdPrior.qty) < 0 then 'S'
else 'F'
end LSF
from dbo.TradeData td
inner join dbo.TradeData tdPrior
on tdPrior.code_id = td.code_id -- All for this code_id
and tdPrior.id <= td.Id -- For this and any prior Ids
group by
td.code_id
,td.id
,td.qty
)
,cteRecurse
as (
-- "Set" the first row for each code_id
SELECT
RecurseKey
,code_id
,id
,qty
,RunningTotal
,LSF
,1 GroupNum
from cteBaseAgg
where RecurseKey = 1
-- For each succesive row in each set, check if need to increment GroupNum
UNION ALL SELECT
agg.RecurseKey
,agg.code_id
,agg.id
,agg.qty
,agg.RunningTotal
,agg.LSF
,rec.GroupNum + case when rec.LSF = agg.LSF then 0 else 1 end
from cteBaseAgg agg
inner join cteRecurse rec
on rec.code_id = agg.code_id
and agg.RecurseKey - 1 = rec.RecurseKey
)
-- Show results
SELECT
id
,code_id
,qty
,RunningTotal
,LSF
,GroupNum
from cteRecurse
order by
code_id
,id
Sorry for making this question a bit more complicated than it needed to be but for the sake of closure I have found a solution using the lag function.
In order to achieve what I wanted I continued my cte above with the following:
, a as
(
SELECT
*,
Lag(LSF, 1, LSF) OVER(Partition By code_id ORDER BY id) AS prev_LSF,
Lag(code_id, 1, code_id) OVER(Partition By code_id ORDER BY id) AS prev_code
FROM
LongShortFlat
), b as
(
SELECT
id,
LSF,
code_id,
Sum(CASE
WHEN LSF <> prev_LSF AND code_id = prev_code
THEN 1
ELSE 0
END) OVER(Partition By code_id ORDER BY id) AS grp
FROM
a
)
select * from b order by id
Here is the updated sqlfiddle.
How can I select change points from this data set
1 0
2 0
3 0
4 100
5 100
6 100
7 100
8 0
9 0
10 0
11 100
12 100
13 0
14 0
15 0
I want this result
4 7 100
11 12 100
This query based on analytic functions lag() and lead() gives expected output:
select id, nid, point
from (
select id, point, p1, lead(id) over (order by id) nid
from (
select id, point,
decode(lag(point) over (order by id), point, 0, 1) p1,
decode(lead(point) over (order by id), point, 0, 2) p2
from test)
where p1<>0 or p2<>0)
where p1=1 and point<>0
SQLFiddle
Edit: You may want to change line 3 in case there only one row for changing point:
...
select id, point, p1,
case when p1=1 and p2=2 then id else lead(id) over (order by id) end nid
...
It would be simple to use ROW_NUMBER analytic function, MIN and MAX.
This is a frequently asked question about finding the interval/series of values and skip the gaps. I like the word given to it as Tabibitosan method by Aketi Jyuuzou.
For example,
SQL> SELECT MIN(A),
2 MAX(A),
3 b
4 FROM
5 ( SELECT a,b, a-Row_Number() over(order by a) AS rn FROM t WHERE b <> 0
6 )
7 GROUP BY rn,
8 b
9 ORDER BY MIN(a);
MIN(A) MAX(A) B
---------- ---------- ----------
4 7 100
11 12 100
SQL>