I have a table t1 that contains the following : (millions of rows)
ID ID_1 ID_2 ID_3 ID_4
---------------------------------
1 10 11 12 13
2 14 15 16 17
3 18 19 20 21
I need to insert these data in another table t2 as following:
ID ID_X
------------
1 10
1 11
1 12
1 13
2 14
2 15
2 16
2 17
3 18
3 19
3 20
3 21
I already did what I need using LOOPs and cursors , but I need to do it with a single insert for better performance.
any ideas ?
EDIT:
I achieved what I needed using UNPIVOT thanks to replies.
Now I need to go further by adding an increment column to t2 table as follows:
ID ID_X ID_Y
----------------------
1 10 0
1 11 200
1 12 400
1 13 600
2 14 0
2 15 200
2 16 400
2 17 600
3 18 0
3 19 200
3 20 400
3 21 600
Use UNPIVOT.
Oracle Setup:
CREATE TABLE t1 ( ID, ID_1, ID_2, ID_3, ID_4 ) AS
SELECT 1, 10, 11, 12, 13 FROM DUAL UNION ALL
SELECT 2, 14, 15, 16, 17 FROM DUAL UNION ALL
SELECT 3, 18, 19, 20, 21 FROM DUAL;
CREATE TABLE t2 ( ID NUMBER, ID_X NUMBER );
Insert Statement:
INSERT INTO t2 (id, id_x )
SELECT id, value
FROM t1
UNPIVOT ( value FOR name IN ( ID_1, ID_2, ID_3, ID_4 ) );
Output:
SELECT * FROM t2;
ID | ID_X
-: | ---:
1 | 10
1 | 11
1 | 12
1 | 13
2 | 14
2 | 15
2 | 16
2 | 17
3 | 18
3 | 19
3 | 20
3 | 21
db<>fiddle here
Using UNION this can be achievable. The following query will work :
INSERT INTO Newtable (ID, ID_X)
SELECT ID, ID_X FROM (
SELECT ID, ID_1 AS ID_X FROM TableName UNION
SELECT ID, ID_2 AS ID_X FROM TableName UNION
SELECT ID, ID_3 AS ID_X FROM TableName UNION
SELECT ID, ID_4 AS ID_X FROM TableName
) A
ORDER BY ID, ID_X
select ID, ID_X from test
unpivot(ID_X for value in (ID_1 as 'A', ID_2 as 'B',ID_3 as 'C',ID_4 as 'D'));
Related
I'm struggling with the following problem, I have the follwing data in a table:
Param ID
Param Val
Other Cols
1
15
XXX
1
15
XXX
1
16
XXX
1
16
XXX
2
21
XXX
2
21
XXX
2
22
XXX
2
22
XXX
I would like to select a new colum in order to create 4 sets of data to have all the possible combination between the values of parameter 1 and 2; so I would like to obtain something like this:
Set
Param ID
Param Val
Other Cols
1
1
15
XXX
2
1
15
XXX
3
1
16
XXX
4
1
16
XXX
1
2
21
XXX
3
2
21
XXX
2
2
22
XXX
4
2
22
XXX
So for example for the Set 1 I will have the Couple of values 15 and 21, for the set 2 the values 15 and 22 etc etc.
I tried using different analytic functions, but I was not able to have what I need.
Thanks in advance.
Despite a good hint on the MODEL clause, I guess I will go for a solution combining cross join and unpivot, maybe it is not the best, but it fit my needs.
WITH tbl AS
(
Select 1 "ID", 15 "VAL" From Dual Union All
Select 1 "ID", 16 "VAL" From Dual Union All
Select 2 "ID", 21 "VAL" From Dual Union All
Select 2 "ID", 22 "VAL" From Dual )
SELECT *
FROM (
SELECT ROWNUM AS SET_ID,
id1,
id4
FROM (
SELECT
CASE a.id
WHEN 1 THEN a.val
ELSE 0
END AS id1,
CASE a.id
WHEN 2 THEN a.val
ELSE 0
END AS id2,
CASE b.id
WHEN 1 THEN b.val
ELSE 0
END AS id3,
CASE b.id
WHEN 2 THEN b.val
ELSE 0
END AS id4
FROM tbl a,
tbl b)
WHERE id2 = 0
AND id3 = 0) UNPIVOT (VAL FOR ID IN (id1 AS '1',
id4 AS '2'))
that results in :
SET_ID
ID
VAL
1
1
15
1
2
21
2
1
15
2
2
22
3
1
16
3
2
21
4
1
16
4
2
22
tried with all the combination of source data, and it seems work :)
Sample data:
WITH
tbl AS
(
Select 1 "ID", 15 "VAL" From Dual Union All
Select 1 "ID", 15 "VAL" From Dual Union All
Select 1 "ID", 16 "VAL" From Dual Union All
Select 1 "ID", 16 "VAL" From Dual Union All
Select 2 "ID", 21 "VAL" From Dual Union All
Select 2 "ID", 21 "VAL" From Dual Union All
Select 2 "ID", 22 "VAL" From Dual Union All
Select 2 "ID", 22 "VAL" From Dual
)
UPDATED AFTER THE COMMENT
If you want the combinations then you will have to use the MODEL clause. To do that you should prepare the data (cte named grid) a bit so you could do the addressing to the particular data and manage all the combinations you want. It looks like here:
grid AS
( Select Distinct
Sum(1) OVER(Partition By ID Order By ID ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) "IDS_TOTAL_ORDER",
Sum(1) OVER(Partition By VAL Order By VAL ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) "VALS_TOTAL_ORDER",
ID "ID",
VAL "VAL"
From
tbl
Order By ID
)
Select SET_ID, ID, VAL
From ( Select 0 "SET_ID", IDS_TOTAL_ORDER, VALS_TOTAL_ORDER, ID "ID", VAL "VAL"
From grid
)
MODEL
Dimension By (ID, IDS_TOTAL_ORDER, VALS_TOTAL_ORDER)
Measures(SET_ID, VAL)
RULES
(
SET_ID[1, ANY, ANY] = CV(IDS_TOTAL_ORDER),
SET_ID[2, 1, 1] = CV(IDS_TOTAL_ORDER),
SET_ID[2, 2, 2] = CV(IDS_TOTAL_ORDER) + 1,
SET_ID[2, 3, 1] = CV(IDS_TOTAL_ORDER) - 1,
SET_ID[2, 4, 2] = CV(IDS_TOTAL_ORDER)
)
Order By ID, IDS_TOTAL_ORDER
This way you can get any combination. Here is your result:
SET_ID
ID
VAL
1
1
15
2
1
15
3
1
16
4
1
16
1
2
21
3
2
21
2
2
22
4
2
22
More about MODEL clause: https://www.oracle.com/webfolder/technetwork/tutorials/obe/db/10g/r2/prod/bidw/sqlmodel/sqlmodel_otn.htm
Sets now looks like here:
SET_ID
IDS_VALS
1
1/15, 2/21
2
1/15, 2/22
3
1/16, 2/21
4
1/16, 2/22
Regards...
beacause of a really old db design I need some help. This might be quite simple I'm just not seeing the wood for the trees at the moment.
TABLE A:
ID
1
2
3
4
5
TABLE B:
ID
VALUE B
1
10
1
20
2
10
2
20
3
10
3
20
3
30
4
10
TABLE C:
ID
VALUE C
1
11
1
21
2
11
2
21
2
31
3
11
5
11
Expected result:
where ID = 1
ID
VALUE B
VALUE C
1
10
11
1
20
21
where ID = 2
ID
VALUE B
VALUE C
2
10
11
2
20
21
2
null
31
where ID = 3
ID
VALUE B
VALUE C
3
10
11
3
20
null
3
30
null
where ID = 4
ID
VALUE B
VALUE C
4
10
null
where ID = 5
ID
VALUE B
VALUE C
5
null
11
The entries in table B and C are optional and could be unlimited, the ID from table A is the connection.
B and C are not directly connected. I need a quantitative comparision to find gaps in the database. The number of entries of table B and C should be the same (but not the value), usually entries are missing in either B or C.
I tried it with outer joins but I'm getting two much rows, because I need B or C join only one time per single row.
I hope anybody understand my problem and can help me.
It looks like, for each distinct ID, you want the nth row (ordered by VALUE) from TABLE_A to match with the nth row from TABLE_B. And if one table - A or B - has more values, you want those to match to null.
Your solution will have two parts. First, use row_number() over ( partition by id order by value) to order the rows in both tables. Then, use FULL OUTER JOIN to join on (id, rownumber).
Here is a full example:
-- WITH clauses are just test data...+
with table_a (id) as (
SELECT 1 FROM DUAL UNION ALL
SELECT 2 FROM DUAL UNION ALL
SELECT 3 FROM DUAL UNION ALL
SELECT 4 FROM DUAL UNION ALL
SELECT 5 FROM DUAL ),
table_b (id, value) as (
SELECT 1,10 FROM DUAL UNION ALL
SELECT 1,20 FROM DUAL UNION ALL
SELECT 2,10 FROM DUAL UNION ALL
SELECT 2,20 FROM DUAL UNION ALL
SELECT 3,10 FROM DUAL UNION ALL
SELECT 3,20 FROM DUAL UNION ALL
SELECT 3,30 FROM DUAL UNION ALL
SELECT 4,10 FROM DUAL ),
table_c (id, value) as (
SELECT 1,11 FROM DUAL UNION ALL
SELECT 1,21 FROM DUAL UNION ALL
SELECT 2,11 FROM DUAL UNION ALL
SELECT 2,21 FROM DUAL UNION ALL
SELECT 2,31 FROM DUAL UNION ALL
SELECT 3,11 FROM DUAL UNION ALL
SELECT 5,11 FROM DUAL )
-- Solution begins here
SELECT id, b.value b_value, c.value c_value
FROM ( SELECT b.*,
row_number() OVER ( PARTITION BY b.id ORDER BY b.value ) rn
FROM table_b b ) b
FULL OUTER JOIN ( SELECT c.*,
row_number() OVER ( PARTITION BY c.id ORDER BY c.value ) rn
FROM table_c c ) c USING (id, rn)
ORDER BY id, b_value, c_value;
+----+---------+---------+
| ID | B_VALUE | C_VALUE |
+----+---------+---------+
| 1 | 10 | 11 |
| 1 | 20 | 21 |
| 2 | 10 | 11 |
| 2 | 20 | 21 |
| 2 | | 31 |
| 3 | 10 | 11 |
| 3 | 20 | |
| 3 | 30 | |
| 4 | 10 | |
| 5 | | 11 |
+----+---------+---------+
I am trying to count the number of rows under specific "header rows" - for example, I have a table that looks like this:
Row # | Description | Repair_Code | Data Type
1 | FRONT LAMP | (null) | Header
2 | left head lamp | 1235 | Database
3 | right head lamp | 1236 | Database
4 | ROOF | (null) | Header
5 | headliner | 1567 | Database
6 | WHEELS | (null) | Header
7 | right wheel | 1145 | Database
Rows 1, 4 and 6 are header rows (categories) and the others are descriptors under each of those categories. The Data Type column denotes if the row is a header or not.
I want to be able to count the number of rows under the header rows to return something that looks like:
Header | Occurrences
FRONT LAMP | 2
ROOF | 1
WHEELS | 1
Thank you for the help!
Data model looks wrong. If that's some kind of a hierarchy, table should have yet another column which represents a "parent row#".
The way it is now, it's kind of questionable whether you can - or can not - do what you wanted. The only thing you can rely on is row#, which is sequential in your example. If that's not the case, then you have a problem.
So: if you use a lead analytic function for all header rows, then you could do something like this (sample data in rows #1 - 7; query that might help begins at line #8):
SQL> with test (rn, description, code) as
2 (select 1, 'front lamp' , null from dual union all
3 select 2, 'left head lamp' , 1235 from dual union all
4 select 3, 'right head lamp', 1236 from dual union all
5 select 4, 'roof' , null from dual union all
6 select 5, 'headliner' , 1567 from dual
7 ),
8 hdr as
9 -- header rows
10 (select rn,
11 description,
12 lead(rn) over (order by rn) next_rn
13 from test
14 where code is null
15 )
16 select h.description,
17 count(*)
18 from hdr h join test t on t.rn > h.rn
19 and (t.rn < h.next_rn or h.next_rn is null)
20 group by h.description;
DESCRIPTION COUNT(*)
--------------- ----------
front lamp 2
roof 1
SQL>
If data model was different (note parent_rn column), then you wouldn't depend on sequential row# values, but
SQL> with test (rn, description, code, parent_rn) as
2 (select 0, 'items' , null, null from dual union all
3 select 1, 'front lamp' , null, 0 from dual union all
4 select 2, 'left head lamp' , 1235, 1 from dual union all
5 select 3, 'right head lamp', 1236, 1 from dual union all
6 select 4, 'roof' , null, 0 from dual union all
7 select 5, 'headliner' , 1567, 4 from dual
8 ),
9 calc as
10 (select parent_rn,
11 sum(case when code is null then 0 else 1 end) cnt
12 from test
13 connect by prior rn = parent_rn
14 start with parent_rn is null
15 group by parent_rn
16 )
17 select t.description,
18 c.cnt
19 from test t join calc c on c.parent_rn = t.rn
20 where nvl(c.parent_rn, 0) <> 0;
DESCRIPTION CNT
--------------- ----------
front lamp 2
roof 1
SQL>
I would approach this using window functions. Assign a group to each header by doing a cumulative count of the NULL values of repair_code. Then aggregate:
select max(case when repair_code is null then description end) as description,
count(repair_code) as cnt
from (select t.*,
sum(case when repair_code is null then 1 else 0 end) over (order by row#) as grp
from t
) t
group by grp
order by min(row#);
Here is a db<>fiddle.
This question already has answers here:
How to select records with maximum values in two columns?
(2 answers)
Closed 9 years ago.
I have a table that looks like this in an Oracle DB:
TransactionID Customer_id Sequence Activity
---------- ------------- ---------- -----------
1 85 1 Forms
2 51 2 Factory
3 51 1 Forms
4 51 3 Listing
5 321 1 Forms
6 321 2 Forms
7 28 1 Text
8 74 1 Escalate
And I want to be able to sort out all rows where sequence is the highest for each customer_id.
I there a MAX() function I could use on sequence but based on customer_id somehow?
I would like the result of the query to look like this:
TransactionID Customer_id Sequence Activity
---------- ------------- ---------- -----------
1 85 1 Forms
4 51 3 Listing
6 321 2 Forms
7 28 1 Text
8 74 1 Escalate
select t1.*
from your_table t1
inner join
(
select customer_id, max(Sequence) mseq
from your_table
group by customer_id
) t2 on t1.customer_id = t2.customer_id and t1.sequence = t2.mseq
SQL Fiddle
Oracle 11g R2 Schema Setup:
CREATE TABLE tbl ( TransactionID, Customer_id, Sequence, Activity ) AS
SELECT 1, 85, 1, 'Forms' FROM DUAL
UNION ALL SELECT 2, 51, 2, 'Factory' FROM DUAL
UNION ALL SELECT 3, 51, 1, 'Forms' FROM DUAL
UNION ALL SELECT 4, 51, 3, 'Listing' FROM DUAL
UNION ALL SELECT 5, 321, 1, 'Forms' FROM DUAL
UNION ALL SELECT 6, 321, 2, 'Forms' FROM DUAL
UNION ALL SELECT 7, 28, 1, 'Text' FROM DUAL
UNION ALL SELECT 8, 74, 1, 'Escalate' FROM DUAL;
Query 1:
SELECT
MAX( TransactionID ) KEEP ( DENSE_RANK LAST ORDER BY Sequence ) AS TransactionID,
Customer_ID,
MAX( Sequence ) KEEP ( DENSE_RANK LAST ORDER BY Sequence ) AS Sequence,
MAX( Activity ) KEEP ( DENSE_RANK LAST ORDER BY Sequence ) AS Activity
FROM tbl
GROUP BY Customer_ID
ORDER BY TransactionID
Results:
| TRANSACTIONID | CUSTOMER_ID | SEQUENCE | ACTIVITY |
|---------------|-------------|----------|----------|
| 1 | 85 | 1 | Forms |
| 4 | 51 | 3 | Listing |
| 6 | 321 | 2 | Forms |
| 7 | 28 | 1 | Text |
| 8 | 74 | 1 | Escalate |
Please Try it
with cte as
(
select Customer_id,MAX(Sequence) as p from Tablename group by Customer_id
)
select b.* from cte a join Tablename b on a.p = b.Sequence where a.p = b.Sequence and a.Customer_id=b.Customer_id order by b.TransactionID
I have the following table:
ID | X
1 | 1
2 | 2
3 | 5
4 | 6
5 | 7
6 | 9
I need to enumerate groups of rows in such way that if row i and i-1 differ in column X by less than 2 they should have the same group number N. See example below.
ID | X | N
1 | 1 | 1
2 | 2 | 1
3 | 5 | 2
4 | 6 | 2
5 | 7 | 2
6 | 9 | 3
Note that rows X(2)-X(1)=1 so they are grouped in the first group. Than X(3)-X(2)=3 so the 3rd row goes to 2nd group with 3rd and 4th row. X(6)-X(5)=2 so 6th row is in the 3rd group.
Can anybody help me with writing SQL query that will return the second table?
This should do it:
select id, x, sum(new_group) over (order by id) as group_no
from
( select id, x, case when x-prev_x = 1 then 0 else 1 end new_group
from
( select id, x, lag(x) over (order by id) prev_x
from mytable
)
);
I get the correct answer for your data with that query.
SQL> create table mytable (id,x)
2 as
3 select 1, 1 from dual union all
4 select 2, 2 from dual union all
5 select 3, 5 from dual union all
6 select 4, 6 from dual union all
7 select 5, 7 from dual union all
8 select 6, 9 from dual
9 /
Table created.
SQL> select id
2 , x
3 , sum(y) over (order by id) n
4 from ( select id
5 , x
6 , case x - lag(x) over (order by id)
7 when 1 then 0
8 else 1
9 end y
10 from mytable
11 )
12 order by id
13 /
ID X N
---------- ---------- ----------
1 1 1
2 2 1
3 5 2
4 6 2
5 7 2
6 9 3
6 rows selected.
Which is essentially the same as Tony's answer, only one inline view less.
Regards,
Rob.
Using basic operations only:
create table test(id int, x int);
insert into test values(1, 1), (2, 2), (3, 5), (4, 6), (5, 7), (6, 9);
create table temp as
select rownum() r, 0 min, x max
from test t
where not exists(select * from test t2 where t2.x = t.x + 1);
update temp t set min = select max + 1 from temp t2 where t2.r = t.r - 1;
update temp t set min = 0 where min is null;
select * from temp order by r;
select t.id, t.x, x.r from test t, temp x where t.x between x.min and x.max;
drop table test;
drop table temp;