Using Oracle 10g. I have two tables:
User Parent
-------------
1 (null)
2 1
3 1
4 3
Permission User_ID
-------------------
A 1
B 3
The values in the permissions table get inherited down to the children. I would like to write a single query that could return me something like this:
User Permission
------------------
1 A
2 A
3 A
3 A
3 B
4 A
4 B
Is it possible to formulate such a query using 10g connect .. by syntax to pull in rows from previous levels?
you can achieve the desired result with a connect by (and the function CONNECT_BY_ROOT that returns the column value of the root node):
SQL> WITH users AS (
2 SELECT 1 user_id, (null) PARENT FROM dual
3 UNION ALL SELECT 2, 1 FROM dual
4 UNION ALL SELECT 3, 1 FROM dual
5 UNION ALL SELECT 4, 3 FROM dual
6 ), permissions AS (
7 SELECT 'A' permission, 1 user_id FROM dual
8 UNION ALL SELECT 'B', 3 FROM dual
9 )
10 SELECT lpad('*', 2 * (LEVEL-1), '*')||u.user_id u,
11 u.user_id, connect_by_root(permission) permission
12 FROM users u
13 LEFT JOIN permissions p ON u.user_id = p.user_id
14 CONNECT BY u.PARENT = PRIOR u.user_id
15 START WITH p.permission IS NOT NULL
16 ORDER SIBLINGS BY user_id;
U USER_ID PERMISSION
--------- ------- ----------
3 3 B
**4 4 B
1 1 A
**2 2 A
**3 3 A
****4 4 A
You could take a look at http://www.adp-gmbh.ch/ora/sql/connect_by.html
Kind of black magic, but you can use table-cast-multiset to reference one table from another in WHERE clause:
create table t1(
usr number,
parent number
);
create table t2(
usr number,
perm char(1)
);
insert into t1 values (1,null);
insert into t1 values (2,1);
insert into t1 values (3,1);
insert into t1 values (4,3);
insert into t2 values (1,'A');
insert into t2 values (3,'B');
select t1.usr
, t2.perm
from t1
, table(cast(multiset(
select t.usr
from t1 t
connect by t.usr = prior t.parent
start with t.usr = t1.usr
) as sys.odcinumberlist)) x
, t2
where t2.usr = x.column_value
;
In the subquery x I construct a table of all parents for the given user from t1 (including itself), then join it with permissions for these parents.
Here is a example for just one user id. you can use proc to loop all.
CREATE TABLE a_lnk
(user_id VARCHAR2(5),
parent_id VARCHAR2(5));
CREATE TABLE b_perm
(perm VARCHAR2(5),
user_id VARCHAR2(5));
INSERT INTO a_lnk
SELECT 1, NULL
FROM DUAL;
INSERT INTO a_lnk
SELECT 2, 1
FROM DUAL;
INSERT INTO a_lnk
SELECT 3, 1
FROM DUAL;
INSERT INTO a_lnk
SELECT 4, 3
FROM DUAL;
INSERT INTO b_perm
SELECT 'A', 1
FROM DUAL;
INSERT INTO b_perm
SELECT 'B', 3
FROM DUAL;
-- example for just for user id = 1
--
SELECT c.user_id, c.perm
FROM b_perm c,
(SELECT parent_id, user_id
FROM a_lnk
START WITH parent_id = 1
CONNECT BY PRIOR user_id = parent_id
UNION
SELECT parent_id, user_id
FROM a_lnk
START WITH parent_id IS NULL
CONNECT BY PRIOR user_id = parent_id) d
WHERE c.user_id = d.user_id
UNION
SELECT d.user_id, c.perm
FROM b_perm c,
(SELECT parent_id, user_id
FROM a_lnk
START WITH parent_id = 1
CONNECT BY PRIOR user_id = parent_id
UNION
SELECT parent_id, user_id
FROM a_lnk
START WITH parent_id IS NULL
CONNECT BY PRIOR user_id = parent_id) d
WHERE c.user_id = d.parent_id;
Related
Ive been trying to use the GROUP function and also PIVOT but I cannot wrap my head around how to merge these tables and combine duplicate rows. Currently my SELECT statement returns results with duplicate UserID rows but I want to consolidate them into columns.
How would I join TABLE1 and TABLE2 into a new table which would look something like this:
NEW TABLE:
UserID Username ParentID 1 ParentID 2
--------- -------- -------- ----------
1 Dave 1 2
2 Sally 3 4
TABLE1:
UserID Username ParentID
--------- -------- --------
1 Dave 1
1 Dave 2
2 Sally 3
2 Sally 4
Table 2:
ParentID Username
--------- --------
1 Sarah
2 Joe
3 Tom
4 Mark
O r a c l e
The with clause is here just to generate some sample data and, as such, it is not a part of the answer.
After joining the tables you can use LAST_VALUE analytic function with windowing clause to get the next PARENT_ID of the user. That column (PARENT_ID_2) contains a value only within the first row of a particular USER_ID (ROW_NUMBER analytic function). Afterwords just filter out rows where PARENT_ID_2 is empty...
Sample data:
WITH
tbl_1 AS
(
Select 1 "USER_ID", 'Dave' "USER_NAME", 1 "PARENT_ID" From Dual Union All
Select 1 "USER_ID", 'Dave' "USER_NAME", 2 "PARENT_ID" From Dual Union All
Select 2 "USER_ID", 'Sally' "USER_NAME", 3 "PARENT_ID" From Dual Union All
Select 2 "USER_ID", 'Sally' "USER_NAME", 4 "PARENT_ID" From Dual
),
tbl_2 AS
(
Select 1 "PARENT_ID", 'Sarah' "USER_NAME" From Dual Union All
Select 2 "PARENT_ID", 'Joe' "USER_NAME" From Dual Union All
Select 3 "PARENT_ID", 'Tom' "USER_NAME" From Dual Union All
Select 4 "PARENT_ID", 'Mark' "USER_NAME" From Dual
)
Main SQL:
SELECT
*
FROM (
SELECT
t1.USER_ID "USER_ID",
t1.USER_NAME "USER_NAME",
t1.PARENT_ID "PARENT_ID_1",
CASE
WHEN ROW_NUMBER() OVER(PARTITION BY t1.USER_ID ORDER BY t1.USER_ID) = 1
THEN LAST_VALUE(t1.PARENT_ID) OVER(PARTITION BY t1.USER_ID ORDER BY t1.USER_ID ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING)
END "PARENT_ID_2"
FROM
tbl_1 t1
INNER JOIN
tbl_2 t2 ON(t1.PARENT_ID = t2.PARENT_ID)
)
WHERE PARENT_ID_2 Is Not Null
... and the Result ...
-- USER_ID USER_NAME PARENT_ID_1 PARENT_ID_2
-- ---------- --------- ----------- -----------
-- 1 Dave 1 2
-- 2 Sally 3 4
The windowing clause in this answer
ROWS BETWEEN CURRENT ROW AND 1 FOLLOWING
takes curent and next row and returns the value defined by the analytic function (LAST_VALUE) taking care of grouping (PARTITION BY) and ordering of the rows. Regards...
This is mySql ver 5.6. Create a concatenated ParentID using group concat then separate the concatenated ParentID (1,2) and (3,4) into ParentID 1 and Parent ID 2.
SELECT t1.UserID,
t1.Username,
SUBSTRING_INDEX(SUBSTRING_INDEX(GROUP_CONCAT(t1.ParentID), ',', 1), ',', -1) AS `ParentID 1`,
SUBSTRING_INDEX(SUBSTRING_INDEX(GROUP_CONCAT(t1.ParentID), ',', 2), ',', -1) as `ParentID 2`
FROM TABLE1 t1
INNER JOIN TABLE2 t2 on t1.ParentID = t2.ParentID
GROUP BY t1.UserID
ORDER BY t1.UserID;
Result:
UserID Username ParentID 1 ParentID 2
1 Dave 1 2
2 Sally 3 4
I have a table as shown below
id
previous_id
latest_id
1
null
null
2
1
null
3
2
null
4
null
null
5
4
null
6
6
null
I want to update the table by setting the latest_id column value to lowest hierarchical value, which will look like this:
id
previous_id
latest_id
1
null
3
2
1
3
3
2
3
4
null
6
5
4
6
6
5
6
I have tried to use connect by, but the query is getting too complicated as start with cannot have a static value assigned, this update is for the entire table.
Below is what I could write for a single record based on it's id, how can I generalize it for all records in the table?
UPDATE TABLENAME1
SET LATEST_ID = (SELECT MAX(ID)
FROM TABLENAME1
START WITH ID = 3
CONNECT BY PREVIOUS_ID = PRIOR ID );
You can use a correlated hierarchical query and filter to get the leaf rows:
UPDATE table_name t
SET latest_id = (SELECT id
FROM table_name h
WHERE CONNECT_BY_ISLEAF = 1
START WITH h.id = t.id
CONNECT BY previous_id = PRIOR id);
Which, for the sample data:
CREATE TABLE table_name (id, previous_id, latest_id) AS
SELECT 1, null, CAST(null AS NUMBER) FROM DUAL UNION ALL
SELECT 2, 1, null FROM DUAL UNION ALL
SELECT 3, 2, null FROM DUAL UNION ALL
SELECT 4, null, null FROM DUAL UNION ALL
SELECT 5, 4, null FROM DUAL UNION ALL
SELECT 6, 5, null FROM DUAL;
Updates the table to:
ID
PREVIOUS_ID
LATEST_ID
1
null
3
2
1
3
3
2
3
4
null
6
5
4
6
6
5
6
db<>fiddle here
To the accepted answer, I will add this alterative which might perform better for large datasets by eliminating the correlated subquery.
MERGE INTO table_name t
USING (
SELECT CONNECT_BY_ROOT(id) root_id, id latest_id
FROM table_name
WHERE connect_by_isleaf = 1
CONNECT BY previous_id = prior id ) u
ON ( t.id = u.root_id )
WHEN MATCHED THEN UPDATE SET t.latest_id = u.latest_id;
I have a table with data below
create table A
(id number,
code varchar2(100));
insert into A values
(1, '20,21,22');
insert into A values
(2, '22,23,24');
commit;
create table code_descriptions
(
code_id number,
code_desc varchar2(100));
insert into code_descriptions values
(20, 'ABC');
insert into code_descriptions values
(21, 'BBC');
insert into code_descriptions values
(22, 'CAP');
insert into code_descriptions values
(23, 'INC');
insert into code_descriptions values
(24, 'ABC');
commit;
I would like to come up with sql to update table A code values with descriptions
Could you please suggest any functions or ideas, to achieve this?
You can tokenize your comma-separated lists:
select id, level as rn, regexp_substr(code, '(.*?)(,|$)', 1, level, null, 1) as code_id
from a
connect by level <= regexp_count(code, ',') + 1
and id = prior id
and prior dbms_random.value is not null;
ID RN CODE_ID
---------- ---------- -------
1 1 20
1 2 21
1 3 22
2 1 22
2 2 23
2 3 24
Then use that as a CTE (subquery factoring) and join to the descriptions (I've made it a left-join so you choose how to handle any missing codes):
with cte (id, rn, code_id) as (
select id, level, regexp_substr(code, '(.*?)(,|$)', 1, level, null, 1)
from a
connect by level <= regexp_count(code, ',') + 1
and id = prior id
and prior dbms_random.value is not null
)
select cte.id, cte.rn, cte.code_id, coalesce(cd.code_desc, '??') as code_desc
from cte
left join code_descriptions cd on cd.code_id = cte.code_id;
ID RN CODE_ID CODE_DESC
---------- ---------- ------- ---------
1 1 20 ABC
1 2 21 BBC
2 1 22 CAP
1 3 22 CAP
2 2 23 INC
2 3 24 ABC
and then aggregate those back into single comma-separated values:
with cte (id, rn, code_id) as (
select id, level, regexp_substr(code, '(.*?)(,|$)', 1, level, null, 1)
from a
connect by level <= regexp_count(code, ',') + 1
and id = prior id
and prior dbms_random.value is not null
)
select cte.id,
listagg(coalesce(cd.code_desc, '??'), ',') within group (order by rn) as code
from cte
left join code_descriptions cd on cd.code_id = cte.code_id
group by cte.id;
ID CODE
---------- ----------------
1 ABC,BBC,CAP
2 CAP,INC,ABC
and then merge or us a correlated update:
update a
set code = (
with cte (id, rn, code_id) as (
select id, level, regexp_substr(code, '(.*?)(,|$)', 1, level, null, 1)
from a
connect by level <= regexp_count(code, ',') + 1
and id = prior id
and prior dbms_random.value is not null
)
select listagg(coalesce(cd.code_desc, '??'), ',') within group (order by rn) as code
from cte
left join code_descriptions cd on cd.code_id = cte.code_id
where cte.id = a.id
group by cte.id
);
2 rows updated.
select * from a;
ID CODE
---------- ----------------
1 ABC,BBC,CAP
2 CAP,INC,ABC
or
rollback; -- just to undo previous update
merge into a
using (
with cte (id, rn, code_id) as (
select id, level, regexp_substr(code, '(.*?)(,|$)', 1, level, null, 1)
from a
connect by level <= regexp_count(code, ',') + 1
and id = prior id
and prior dbms_random.value is not null
)
select cte.id, listagg(coalesce(cd.code_desc, '??'), ',') within group (order by rn) as code
from cte
left join code_descriptions cd on cd.code_id = cte.code_id
group by cte.id
) tmp
on (tmp.id = a.id)
when matched then update set a.code = tmp.code;
2 rows merged.
select * from a;
ID CODE
---------- ----------------
1 ABC,BBC,CAP
2 CAP,INC,ABC
db<>fiddle
The simplest solution is if the number of elements in the "code" column of table A is fixed - by directly gluing the subqueries to the code_descriptions table by codes (we cut each code from the enumeration line).
Ex: I have other main table which is having below data
Create table dbo.Main_Table
(
ID INT,
SDate Date
)
Insert Into dbo.Main_Table Values (1,'01/02/2018')
Insert Into dbo.Main_Table Values (2,'01/30/2018')
Create table dbo.test
(
ID INT,
SDate Date
)
Insert Into dbo.test Values (1,'01/01/2018')
Insert Into dbo.test Values (1,'01/02/2018')
Insert Into dbo.test Values (1,'01/30/2018')
Insert Into dbo.test Values (2,'10/01/2018')
Insert Into dbo.test Values (2,'01/02/2018')
Insert Into dbo.test Values (2,'01/30/2018')
I would like to compare data in main table data with test table. We have to join based on ID and if date match found then "yes" else "No". We have to compare one row with multiple rows.
Please let me know if any questions , thanks for you;re help
Something like this?
SQL> with main_table (id, sdate) as
2 (select 1, date '2018-01-02' from dual union all
3 select 2, date '2018-01-30' from dual union all
4 select 3, date '2018-07-25' from dual
5 ),
6 test_table (id, sdate) as
7 (select 1, date '2018-01-02' from dual union all
8 select 2, date '2018-08-30' from dual
9 )
10 select m.id,
11 m.sdate,
12 case when m.sdate = t.sdate then 'yes' else 'no' end status
13 from main_table m left join test_table t on t.id = m.id
14 order by m.id;
ID SDATE STATUS
---------- -------- ------
1 02.01.18 yes
2 30.01.18 no
3 25.07.18 no
SQL>
[EDIT, after reading the comment - if you find a match, you don't need that ID at all]
Here you are:
SQL> with test (id, sdate) as
2 (select 1, date '2018-01-01' from dual union all
3 select 1, date '2018-01-02' from dual union all
4 select 1, date '2018-01-30' from dual union all
5 --
6 select 2, date '2018-10-01' from dual union all
7 select 2, date '2018-01-02' from dual union all
8 select 2, date '2018-01-30' from dual
9 )
10 select id, sdate
11 from test t
12 where not exists (select null
13 from test t1
14 where t1.id = t.id
15 and t1.sdate = to_date('&par_sdate', 'yyyy-mm-dd'));
Enter value for par_sdate: 2018-01-01
ID SDATE
---------- ----------
2 2018-01-30
2 2018-01-02
2 2018-10-01
SQL> /
Enter value for par_sdate: 2018-01-02
no rows selected
SQL>
So I am trying to pull rows from a table where there are more than one version for an ID that has at least one person for the ID that is not null but the versions that come after it are null.
So, if i had a statement like:
select ID, version, person from table1
the output would be:
ID Version Person
-- ------- ------
1 1 Tom
1 2 null
1 3 null
2 1 null
2 2 null
2 3 null
3 1 Mary
3 2 Mary
4 1 Joseph
4 2 null
4 3 Samantha
The version number can have an infinite value and is not limited.
I want to pull ID 1 version 2/3, and ID 4 Version 2.
So in the case of ID 2 where the person is null for all three rows I don't need these rows. And in the case of ID 3 version 1 and 2 I don't need these rows because there is never a null value.
This is a very simple version of the table I am working with but the "real" table is a lot more complicated with a bunch of joins already in it.
The desired output would be:
ID Version Person
-- ------- ------
1 2 null
1 3 null
4 2 null
The result set that I am looking for is where in a previous version for the same ID there was a person listed but is now null.
You are seeking all rows where the person is not null and that id has null rows, and the not null person version is less than the null version for the same person id:
Edited predicate based on comment
with sample_data as
(select 1 id, 1 version, 'Tom' person from dual union all
select 1, 2, null from dual union all
select 1, 3, null from dual union all
select 2, 1, null from dual union all
select 2, 2, null from dual union all
select 2, 3, null from dual union all
select 3, 1, 'Mary' from dual union all
select 3, 2, 'Mary' from dual union all
select 4, 1, 'Joseph' from dual union all
select 4, 2, null from dual union all
select 4, 3, 'Samantha' from dual)
select *
from sample_data sd
where person is null
and exists
(select 1 from sample_data
where id = sd.id
and person is not null
and version < sd.version);
/* Old predicate
and id in
(select id from sample_data where person is not null);
*/
I think this query translates pretty nicely into what you asked for?
List all the rows (R) where the person is null, but only if a previous row (P) with a non-null name exists.
select *
from table1 r
where r.person is null
and exists(
select 'x'
from table1 p
where p.id = r.id
and p.version < r.version
and p.person is not null
);
I believe the below should work.
select ID, listagg(version, ', ') within group (order by version) as versions
from table1 t1
where 0 < (select count(*) from table1 t1A where t1A.ID = t1.ID and t1A.version is not null)
and 0 < (select count(*) from table1 t1B where t1B.ID = t1.ID and t1B.version is null)
and person is null
group by ID
This should do what you want:
select id, version, person
from
(
select id, version, person,
lag(person, 1) ignore nulls
over (partition by id
order by version) as x
from table1
) dt
where person is null
and x is not null