I have a table with 2 Columns:
'Employee' 'ReportsTo'
1
2 1
3 1
4 2
5 2
6 3
7 3
8 4
9 4
10 5
I would like to return like this:
'Employee' 'Reporting Officer'
1 2,3,4,5,6,7,8,9,10
2 4,5,8,9,10
3 6,7
4 8,9
5 10
6
7
8
9
10
This will work with your example table but not with tables like this (would need a more complex query):
Employee ReportsTo
-------- ---------
12 13
13 12
And it is not called "pivot after n iteration".
with cte as (
SELECT 1 Employee,0 ReportsTo UNION ALL
SELECT 2,1 UNION ALL
SELECT 3,1 UNION ALL
SELECT 4,2 UNION ALL
SELECT 5,2 UNION ALL
SELECT 6,3 UNION ALL
SELECT 7,3 UNION ALL
SELECT 8,4 UNION ALL
SELECT 9,4 UNION ALL
SELECT 10,5
),
cte2 as (
SELECT ReportsTo e,Employee ro FROM cte
UNION ALL
SELECT a.e,b.Employee FROM cte2 a JOIN cte b ON a.ro = b.ReportsTo
)
SELECT
Employee,
ISNULL(LEFT(ro,LEN(ro)-1),'') as "Reporting Officer"
FROM (
SELECT
Employee,
REPLACE(REPLACE((
SELECT ro FROM cte2 x WHERE x.e=cte.Employee ORDER BY 1 FOR XML PATH('')
),'<ro>',''),'</ro>',',') ro
FROM cte
) a
sqlfidle
Related
I have a table with one column (just to simplify the problem) with values 0-23 or *.
I want to count occurrences of each value 0-23, but treat * as occurrence of all other values
for example:
column_name
-------------
3
4
5
6
7
*
4
4
3
*
I want to get something like that:
column_name | count
--------------------
1 | 2
2 | 2
3 | 4
4 | 5
5 | 3
6 | 3
7 | 3
.....
I tried experimenting with different count and "group by" methods, but always getting very strange results. Basically the main problem here is to how count rows when I need to have one value in all other groups.
You could use analytic function that counts values where * is replaced by actual value between 0 and 23:
SELECT DISTINCT n.RN "COL_1", Count(REPLACE(t.COL_1, '*', n.RN)) OVER(Partition By n.RN) "CNT"
FROM tbl t
INNER JOIN ( Select To_Char(LEVEL - 1) "RN" From Dual Connect By LEVEL <=24 ) n ON(n.RN = REPLACE(t.COL_1, '*', n.RN))
WHERE n.RN IN(SELECT COL_1 FROM tbl)
ORDER BY To_Number(n.RN)
which with your sample data:
WITH
tbl (COL_1) AS
(
Select '3' From Dual Union All
Select '4' From Dual Union All
Select '5' From Dual Union All
Select '6' From Dual Union All
Select '7' From Dual Union All
Select '*' From Dual Union All
Select '4' From Dual Union All
Select '4' From Dual Union All
Select '3' From Dual Union All
Select '*' From Dual Union All
Select '3' From Dual
)
... results as:
COL_1 CNT
---------------------------------------- ----------
3 5
4 5
5 3
6 3
7 3
... and if you exclude the Where clause you will get all the rows (0 - 23) with number of occurances counted by REPLACE of * with any of the numbers
COL_1 CNT
---------------------------------------- ----------
0 2
1 2
2 2
3 5
4 5
5 3
6 3
7 3
8 2
9 2
10 2
11 2
12 2
13 2
14 2
15 2
16 2
17 2
18 2
19 2
20 2
21 2
22 2
23 2
You can do it using successive WITH's :
First one to calculate number of occurrence of *.
And the second is to calculate number of occurrence of each number.
with cte as (
select count(1) as c
from mytable
where column_name = '*'
),
cte2 as (
select column_name, count(1) as c
from mytable, cte
group by column_name
)
select column_name, cte.c + cte2.c
from cte2, cte;
You can with nested statements too,
SELECT ID,(count_ + (
SELECT COUNT(ID) FROM sql_test_a
WHERE ID = '*')) as count_
FROM (
SELECT ID,COUNT(ID) as count_
FROM sql_test_a WHERE ID != '*' GROUP BY ID);
I need to generate a running number / group sequence inside a select statement for a group of data.
For example
Group Name Sequence
1 a 1
1 b 2
1 c 3
2 d 1
2 e 2
2 f 3
So for each group the sequence should be a running number starting with 1 depending on the order of column"Name".
I already pleayed around with Row_Number() and Level but I couldn't get a solution.
Any idea how to do it?
Analytic functions help.
SQL> with test (cgroup, name) as
2 (select 1, 'a' from dual union all
3 select 1, 'b' from dual union all
4 select 1, 'c' from dual union all
5 select 2, 'd' from dual union all
6 select 2, 'e' from dual union all
7 select 2, 'f' from dual
8 )
9 select cgroup,
10 name,
11 row_number() over (partition by cgroup order by name) sequence
12 from test
13 order by cgroup, name;
CGROUP N SEQUENCE
---------- - ----------
1 a 1
1 b 2
1 c 3
2 d 1
2 e 2
2 f 3
6 rows selected.
SQL>
Try this
SELECT
"Group",
Name,
DENSE_RANK() OVER (PARTITION BY "Group" ORDER BY Name) AS Sequence
FROM table;
My table seems like this;
A B
1 100
1 102
1 105
2 100
2 105
3 100
3 102
I want output like this:
A Count(B)
1 3
1,2 2
1,2,3 3
2 2
3 2
2,3 2
How can i do this?
I try to use listagg but it didn't work.
I suspect that you want to count the number of sets of A that are in the data -- and that your sample results are messed up.
If so:
select grp, count(*)
from (select listagg(a, ',') within group (order by a) as grp
from t
group by b
) b;
This gives you the counts for the full combinations present in the data. The results would be:
1,2,3 1
1,3 1
1,2 1
You can get the original number of rows by doing:
select grp, sum(cnt)
from (select listagg(a, ',') within group (order by a) as grp, count(*) as cnt
from t
group by b
) b;
Oracle Setup:
CREATE TABLE table_name ( A, B ) AS
SELECT 1, 100 FROM DUAL UNION ALL
SELECT 1, 102 FROM DUAL UNION ALL
SELECT 1, 105 FROM DUAL UNION ALL
SELECT 2, 100 FROM DUAL UNION ALL
SELECT 2, 105 FROM DUAL UNION ALL
SELECT 3, 100 FROM DUAL UNION ALL
SELECT 3, 102 FROM DUAL;
Query:
SELECT A,
COUNT(B)
FROM (
SELECT SUBSTR( SYS_CONNECT_BY_PATH( A, ',' ), 2 ) AS A,
B
FROM table_name
CONNECT BY PRIOR B = B
AND PRIOR A + 1 = A
)
GROUP BY A
ORDER BY A;
Output:
A COUNT(B)
----- ----------
1 3
1,2 2
1,2,3 1
2 2
2,3 1
3 2
I have a tableA (ID int, Match varchar, tot int)
ID Match Tot
1 123
2 123
3 12
4 12
5 4
6 12
7 8
Now, I want to calculate Tot which is total number of match exists in the table. for example 123 occured twice, 12 exist thrice and so on. Also note that I want the count only at first match. here is the expected result.:
ID Match Tot
1 123 2
2 123
3 12 3
4 12
5 4 1
6 12
7 8 1
Another case:
ID Match Count Tot
1 123 2
2 123 1
3 12 10
4 12 10
5 4 3
6 12 5
7 8 7
Now I want to add the count for the same match. expected result:
ID Match Count Tot
1 123 2 3
2 123 1
3 12 10 25
4 12 10
5 4 3 3
6 12 5
7 8 7 7
Thanks
WITH tableA(ID, Match) AS
(
SELECT 1,123 UNION ALL
SELECT 2,123 UNION ALL
SELECT 3,12 UNION ALL
SELECT 4,12 UNION ALL
SELECT 5,4 UNION ALL
SELECT 6,12 UNION ALL
SELECT 7,8
)
SELECT *,
CASE
WHEN ROW_NUMBER() OVER (PARTITION BY Match ORDER BY ID) = 1
THEN COUNT(*) OVER (PARTITION BY Match)
END AS Tot
FROM tableA
ORDER BY ID
SELECT match, COUNT(match ) as Tot
FROM tableA
GROUP BY match
Solution 1:
DECLARE #MyTable TABLE
(
ID INT PRIMARY KEY
,Match VARCHAR(10) NOT NULL
,Tot INT NULL
);
INSERT #MyTable(ID, Match)
SELECT 1, 123
UNION ALL
SELECT 2, 123
UNION ALL
SELECT 3, 12
UNION ALL
SELECT 4, 12
UNION ALL
SELECT 5, 4
UNION ALL
SELECT 6, 12
UNION ALL
SELECT 7, 8;
--SELECT
SELECT *
,CASE
WHEN ROW_NUMBER()OVER(PARTITION BY a.Match ORDER BY a.ID ASC)=1
THEN COUNT(*)OVER(PARTITION BY a.Match)
END TotCalculated
FROM #MyTable a;
--UPDATE
WITH MyCTE
AS
(
SELECT a.Tot
,CASE
WHEN ROW_NUMBER()OVER(PARTITION BY a.Match ORDER BY a.ID ASC)=1
THEN COUNT(*)OVER(PARTITION BY a.Match)
END TotCalculated
FROM #MyTable a
)
UPDATE MyCTE
SET Tot = TotCalculated;
SELECT *
FROM #MyTable;
Solution 2:
UPDATE #MyTable
SET Tot = NULL;
SELECT x.ID, y.Num
FROM
(
SELECT b.Match, MIN(b.ID) ID
FROM #MyTable b
GROUP BY b.Match
) x INNER JOIN
(
SELECT a.Match, COUNT(*) AS Num
FROM #MyTable a
GROUP BY a.Match
) y ON x.Match = y.Match
ORDER BY x.ID
UPDATE #MyTable
SET Tot = t.Num
FROM #MyTable z
INNER JOIN
(
SELECT x.ID, y.Num
FROM
(
SELECT b.Match, MIN(b.ID) ID
FROM #MyTable b
GROUP BY b.Match
) x INNER JOIN
(
SELECT a.Match, COUNT(*) AS Num
FROM #MyTable a
GROUP BY a.Match
) y ON x.Match = y.Match
) t ON z.ID = t.ID;
SELECT *
FROM #MyTable;
I have a table like below
CAccountID CID NetworkID
1 1 1
2 1 2
3 2 1
4 2 2
5 2 3
6 3 1
7 3 2
8 3 3
9 4 1
10 4 2
I need a query to select all CID having all 3 NetworkID(1,2,3) and don't need to display only 1 and 2 NetworkID.
Output should be like below,
CAccountID CID NetworkID
3 2 1
4 2 2
5 2 3
6 3 1
7 3 2
8 3 3
You can use GROUP BY with JOIN :
select t.*
from table t inner join
( select cid
from table
where NetworkID in (1,2,3)
group by cid
having count(distinct NetworkID) = 3
) tt
on tt.cid = t.cid;
Try this:
select * from my_table t
where exists(select 1 from my_table
where CID = t.CID and NetworkID in (1,2,3)
group by CID
having count(*) = 3)
Try this:
select * from <<tablename>> where cid in(select cid from <<tablename>> group by cid having count(*)=3).
Here the subquery will return you all thouse cid which have 3 rows in your table.
Or if you have more network ids then use of INTERSECT operator can be helpful:
select * from <<tablename>> where cid in (
select cid from <<tablename>> where NetworkID=1
INTERSECT
select cid from <<tablename>> where NetworkID=2
INTERSECT
select cid from <<tablename>> where NetworkID=3
);
INTERSECT operator basically returns all the rows common in the queries. Thus, your data unpredicatbility can be handled in this way
Try xml path.
SELECT *
FROM Table_Name B
WHERE (SELECT [text()] = A.Network FROM Table_Name A WHERE A.CID = B.CID
ORDER BY CID, CAAccount FOR XML PATH('')) = 123
CTE Demo:
; WITH CTE(CAAccount, CID, Network) AS
(
SELECT 1 , 1, 1 UNION ALL
SELECT 2 , 1, 2 UNION ALL
SELECT 3 , 2, 1 UNION ALL
SELECT 4 , 2, 2 UNION ALL
SELECT 5 , 2, 3 UNION ALL
SELECT 6 , 3, 1 UNION ALL
SELECT 7 , 3, 2 UNION ALL
SELECT 8 , 3, 3 UNION ALL
SELECT 9 , 4, 1 UNION ALL
SELECT 10, 4, 2
) SELECT *
FROM CTE B
WHERE (SELECT [text()] = A.Network FROM CTE A WHERE A.CID = B.CID ORDER BY CID, CAAccount FOR XML PATH('')) = 123
Output:
CAAccount CID Network
3 2 1
4 2 2
5 2 3
6 3 1
7 3 2
8 3 3