Oracle SQL start with/prior - sql

I've successfully mananaged to understand how the connect by level works with the below example:
SELECT
level,
t.*
FROM
(
SELECT
'a' AS col1,
'b' AS col2
FROM
dual
UNION ALL
SELECT
'c',
'd'
FROM
dual
) t
CONNECT BY
level <= 3
However, I'm struggling to understand the 'start with' and 'prior' concepts and what use cases do they have in real life. Could someone please walk me through using the provided example?

If you have a parent/child relationship:
CREATE TABLE t ( parent, child ) AS
SELECT 'a', 'b' FROM dual UNION ALL
SELECT 'b', 'c' FROM dual UNION ALL
SELECT 'c', 'd' FROM dual UNION ALL
SELECT 'd', 'e' FROM dual;
And you want to get the family tree starting from b and get all of the descendants then you can:
SELECT level,
t.*
FROM t
START WITH parent = 'b'
CONNECT BY PRIOR child = parent
Which outputs:
LEVEL | PARENT | CHILD
----: | :----- | :----
1 | b | c
2 | c | d
3 | d | e
Level 1 starts with b then level 2 has b's child c then level 3 has b's child's child (grandchild) d and they are all connected by the relationship that the PRIOR child is the (current) parent.
More examples of how to get different relationships can be found in this answer.
As an aside, your example in the question is a little confusing as it is finding all paths to a depth of 3 recursions. If you show the paths it has taken through the data using SYS_CONNECT_BY_PATH then you get a better idea:
SELECT level,
t.*,
SYS_CONNECT_BY_PATH( '('||col1||','||col2||')', '->' ) AS path
FROM (
SELECT 'a' AS col1, 'b' AS col2 FROM dual UNION ALL
SELECT 'c', 'd' FROM dual
) t
CONNECT BY level <= 3
Which outputs:
LEVEL | COL1 | COL2 | PATH
----: | :--- | :--- | :--------------------
1 | a | b | ->(a,b)
2 | a | b | ->(a,b)->(a,b)
3 | a | b | ->(a,b)->(a,b)->(a,b)
3 | c | d | ->(a,b)->(a,b)->(c,d)
2 | c | d | ->(a,b)->(c,d)
3 | a | b | ->(a,b)->(c,d)->(a,b)
3 | c | d | ->(a,b)->(c,d)->(c,d)
1 | c | d | ->(c,d)
2 | a | b | ->(c,d)->(a,b)
3 | a | b | ->(c,d)->(a,b)->(a,b)
3 | c | d | ->(c,d)->(a,b)->(c,d)
2 | c | d | ->(c,d)->(c,d)
3 | a | b | ->(c,d)->(c,d)->(a,b)
3 | c | d | ->(c,d)->(c,d)->(c,d)
You get 14 rows because you get 2 rows at level 1 (one for each combination of input row) and then 4 rows at level 2 (one for each input row for each level 1 row) and then 8 rows at level 2 (one for each input row for each level 2 row) and your output is growing exponentially.
db<>fiddle here

Related

Filtering a table via another table's values

I have 2 tables:
Value
+----+-------+
| id | name |
+----+-------+
| 1 | Peter |
| 2 | Jane |
| 3 | Joe |
+----+-------+
Filter
+----+---------+------+
| id | valueid | type |
+----+---------+------+
| 1 | 1 | A |
| 2 | 1 | B |
| 3 | 1 | C |
| 4 | 1 | D |
| 5 | 2 | A |
| 6 | 2 | C |
| 7 | 2 | E |
| 8 | 3 | A |
| 9 | 3 | D |
+----+---------+------+
I need to retrieve the values from the Value table where the related Filter table does not contain the type 'B' or 'C'
So in this quick example this would be only Joe.
Please note this is a DB2 DB and i have limited permissions to run selects only.
Or also a NOT IN (<*fullselect*) predicate:
Only that my result is 'Joe', not 'Jane' - and the data constellation would point to that ...
WITH
-- your input, sans reserved words
val(id,nam) AS (
SELECT 1,'Peter' FROM sysibm.sysdummy1
UNION ALL SELECT 2,'Jane' FROM sysibm.sysdummy1
UNION ALL SELECT 3,'Joe' FROM sysibm.sysdummy1
)
,
filtr(id,valueid,typ) AS (
SELECT 1,1,'A' FROM sysibm.sysdummy1
UNION ALL SELECT 2,1,'B' FROM sysibm.sysdummy1
UNION ALL SELECT 3,1,'C' FROM sysibm.sysdummy1
UNION ALL SELECT 4,1,'D' FROM sysibm.sysdummy1
UNION ALL SELECT 5,2,'A' FROM sysibm.sysdummy1
UNION ALL SELECT 6,2,'C' FROM sysibm.sysdummy1
UNION ALL SELECT 7,2,'E' FROM sysibm.sysdummy1
UNION ALL SELECT 8,3,'A' FROM sysibm.sysdummy1
UNION ALL SELECT 9,3,'D' FROM sysibm.sysdummy1
)
-- real query starts here
SELECT
*
FROM val
WHERE id NOT IN (
SELECT valueid FROM filtr WHERE typ IN ('B','C')
)
;
-- out id | nam
-- out ----+-------
-- out 3 | Joe
Or also, a failing left join:
SELECT
val.*
FROM val
LEFT JOIN (
SELECT valueid FROM filtr WHERE typ IN ('B','C')
) filtr
ON filtr.valueid = val.id
WHERE valueid IS NULL
You can use EXISTS, as in:
select *
from value v
where not exists (
select null from filter f
where f.valueid = v.id and f.type in ('B', 'C')
);
Result:
ID NAME
--- -----
3 Joe
See running example at db<>fiddle.

Conditional operations without using SWITCH CASE

I have a couple of complex tables. But their mapping is something like:
TABLE_A:
_________________________________
| LINK_ID | TYPE_ID |
_________________________________
| adfasdnf23454 | TYPE 1 |
| 43fsdfsdcxsh7 | TYPE 1 |
| dfkng037sdfbd | TYPE 1 |
| sd09734fdfhsf | TYPE 2 |
| khsadf94u5dfc | TYPE 2 |
| piukvih66wfa8 | TYPE 3 |
_________________________________
TABLE_B:
_____________________________________________
| LINK_ID | CODE_ID | CODE_VALUE |
_____________________________________________
| adfasdnf23454 | 7 | test 1 |
| fgubk65esdfj7 | 6 | test 2 |
| ooogfsg354fds | 7 | test 3 |
| sd09734fdfhsf | 5 | test 4 |
_____________________________________________
The LINK_ID column links these two tables.
My requirement is to have all the records from TABLE_A checked whether they have a specific CODE_ID or not.
If the record has CODE_ID as 7 - populate CODE_VALUE in a column.
If the record has CODE_ID as 6 - populate CODE_VALUE in another column.
If the record doesn't have a CODE_ID show CODE_VALUE as null.
The catch is, TABLE_B may have records that TABLE_A don't. But the final result should contain the records of TABLE_A alone.
PS: SWITCH CASE not suggested since I would require the fields in the same row. (Please see the multiple rows for same LINK_ID in OBTAINED RESULT on using SWITCH CASE)
OBTAINED RESULT:
_______________________________________________
| LINK_ID | CODE_VALUE_1 | CODE_VALUE_1 |
_______________________________________________
| adfasdnf23454 | test 1 | null |
| adfasdnf23454 | null | test 4 |
| sd09734fdfhsf | test 6 | null |
_______________________________________________
EXPECTED RESULT:
__________________________________________________
| LINK_ID | CODE_VALUE_1 | CODE_VALUE_2 |
__________________________________________________
| adfasdnf23454 | test 1 | test 4 |
| 43fsdfsdcxsh7 | null | null |
| dfkng037sdfbd | null | null |
| sd09734fdfhsf | test 6 | null |
| khsadf94u5dfc | null | null |
| piukvih66wfa8 | null | null |
__________________________________________________
Can someone help on this?
One option uses two correlated subqueries:
select
a.link_id,
(select code_value from table_b b where b.link_id = a.link_id and b.code_id = 7) code_value_1,
(select code_value from table_b b where b.link_id = a.link_id and b.code_id = 6) code_value_2
from table_a a
Note that this assumes no duplicate (link_id, code_id) in table_b. You could also write this with two left joins - which is quite the same logic.
Another solution is a single left join, then conditional aggregation:
select
a.link_id,
max(case when b.code_id = 7 then b.code_value end) code_value_1,
max(case when b.code_id = 6 then b.code_value end) code_value_2
from table_a a
left join table_b b on b.link_id = a.link_id and b.code_id in (6, 7)
group by a.link_id
Problematic part of your question is what to do if two entries in B have same link_id and type_id. You can use min, max, last entry (but for that you need ordering column in B). Or you can list them all:
select *
from a left join b using (link_id)
pivot (listagg(code_value, ', ') within group (order by code_value)
for code_id in (6 as code6, 7 as code7))
Data:
create table a (link_id, type_id) as (
select 'a', 'TYPE 1' from dual union all
select 'b', 'TYPE 1' from dual union all
select 'c', 'TYPE 1' from dual union all
select 'd', 'TYPE 2' from dual );
create table b(LINK_ID, CODE_ID, CODE_VALUE) as (
select 'a', 6, 'test 1' from dual union all
select 'a', 7, 'test 2' from dual union all
select 'a', 7, 'test 3' from dual union all
select 'b', 7, 'test 4' from dual union all
select 'd', 6, 'test 5' from dual );
Result:
LINK_ID TYPE_ID CODE6 CODE7
a TYPE 1 test 1 test 2, test 3
b TYPE 1 test 4
c TYPE 1
d TYPE 2 test 5
dbfiddle

group by conditional on two columns in hibernate

I want to group by on two columns. I want to get total of c group by a and b if b is not null and group by a if b is null
I wrote this query but it does not work in case b is null!the result of query is all rows that b is not null
select m.s.a ,
case when (m.l is not null)
then m.l.code end , coalesce(sum(m.c),0 )
from material m where m.Item.id =:itemId
group by m.s.a, case
when (m.l is not null)
then m.l.code end
+--+----+-------+---+
| | s | l | c |
+--+----+-------+---+
| | a | d | 1 |
| | a | d | 9 |
| | a | e | 3 |
| | a | f | 4 |
| | c | g | 5 |
| | c | g | 6 |
| | c | h | 20 |
| | d | null | 7 |
| | d | null | 8 |
result expected:
+--+----+-------+---+
| | s | l | c |
+--+----+-------+---+
| | a | d | 10 |
| | a | e | 3 |
| | a | f | 4 |
| | c | g | 11 |
| | c | h | 20 |
| | d | | 15 |
By default, oracle/postgres/mysql will produces the expected output.
SELECT s,l,sum(c)
FROM temp
GROUP BY s,l;
If you don't want to group by NULL values you can use UNION
SELECT s,l,sum(c)
FROM temp
WHERE l is NOT NULL
GROUP BY s,l
UNION
SELECT s,l,sum(c)
FROM temp
WHERE l is NULL;
with data (col1, col2, val) as
(
select 'a', 'd', 1 from dual union all
select 'a', 'd', 9 from dual union all
select 'a', 'e', 3 from dual union all
select 'a', 'f', 4 from dual union all
select 'c', 'g', 5 from dual union all
select 'c', 'g', 6 from dual union all
select 'c', 'h', 20 from dual union all
select 'd', null, 7 from dual union all
select 'd', null, 8 from dual union all
select 'e', 'g', null from dual -- additional check if val is null
)
,
prs (col1, col2, col1n2) as
(
select distinct col1, col2, col1||'-'||col2 from data
)
,
rs (col, val) as
(
-- concatenate the columns that need to be grouped by
-- to act as one single column (col1 and col2)
select col1||'-'||col2, sum(nvl(val,0)) from data group by col1||'-'||col2
)
select
prs.col1, prs.col2, rs.val
from
rs join prs
on (prs.col1n2 = rs.col)
order by 1
;

How to convert a Postgresql ltree structure to a nested set by using VIEW?

I would like to ask a question about a way for transforming a PostgreSQL ltree structure to a nested set structure with only one query by using only VIEWs.
For example, I have a table which has data with relation to each other as on the picture below:
So, the table daclaration is
KeywordLtree(id INT PRIMARY KEY, value TEXT, path ltree);
-- And the data is:
pk | value | path |
0 | 'A' | '' |
0 | 'B' | '1' |
0 | 'C' | '2' |
0 | 'D' | '1.3' |
0 | 'E' | '1.4' |
0 | 'F' | '1.5' |
0 | 'G' | '2.6' |
0 | 'H' | '2.7' |
And I have to convert this table to such table:
KeywordSets(id INT PRIMARY KEY, value TEXT, lft INT, rgt INT);
where the rules for the left and the right borders are done according to a nested sets rules.
I found the way how to obtain vertices on each level
CREATE OR REPLACE RECURSIVE VIEW bfs (id, value, path, num_on_level, level) AS
SELECT id, value, path, row_number() OVER (), 0 as level
FROM KeywordLtreeSandbox WHERE path ~ '*{0}'
UNION ALL
SELECT C.id, C.value, C.path, row_number() OVER (PARTITION BY P.path), level + 1
FROM KeywordLtreeSandbox C JOIN bfs P ON P.path #> C.path
WHERE nlevel(C.path) = level + 1;
-- Data would be like below
id | value | path | num_on_level | level |
0 | "A" | "" | 1 | 0 |
1 | "B" | "1" | 1 | 1 |
2 | "C" | "2" | 2 | 1 |
3 | "D" |"1.3" | 1 | 2 |
4 | "E" |"1.4" | 2 | 2 |
5 | "F" |"1.5" | 3 | 2 |
6 | "G" |"2.6" | 1 | 2 |
7 | "H" |"2.7" | 2 | 2 |
But I have no idea how to enumerate them correctly then (So "A" left = 1, right = 16, "B" left = 2, right = 9 and so on...)
If I need to be more clear please let me know.
Could anyone give me an idea how it is possible to do?
for course in stepic.org ;-)
WITH RECURSIVE bfs(id, value, path, level, cnt) AS
(SELECT id, value, path, 0 as level,1 as cnt
FROM kts WHERE path ~ '*{0}'
UNION ALL
SELECT C.id, C.value, C.path, level + 1, 1 as cnt
FROM kts C JOIN bfs P ON P.path #> C.path
WHERE nlevel(C.path) = level + 1),
qsubtrees AS (SELECT K2.path AS p, COUNT(*) AS size FROM kts K LEFT JOIN kts K2 ON K.path <# K2.path
GROUP BY K2.path),
result AS (SELECT id, value, path, level,
2*(SUM(cnt) OVER (ROWS UNBOUNDED PRECEDING))-1-level AS leftn, size
FROM bfs JOIN qsubtrees ON bfs.path=qsubtrees.p ORDER BY path)
SELECT '#', id, value, leftn, leftn+2*size-1 AS rightn FROM result ORDER BY leftn;

Create custom Function or Stored Procedure

I have a Hierarchy table with Master_id and Sub_id.
sub_id Master_id
2 1
3 2
4 1
5 3
6 7
I want to create an iterative function or stored procedure (I am not sure I never used any of them before) to create one more column which gives me the primary_master_Column (PMC)
sub_id Master_id PMC
2 1 1
3 2 1
4 1 1
5 3 1
6 7 7
select
Master_id, sub_id,
max(PMC) keep(dense_rank first order by lev desc) as PMC
from
(
select
sub_id as PMC, level lev,
connect_by_root(Master_id) as Master_id,
connect_by_root(sub_id) as sub_id
from your_table
connect by prior sub_id = Master_id
)
group by Master_id, sub_id
fiddle
SQL Fiddle
Oracle 11g R2 Schema Setup:
CREATE TABLE test (sub_id, Master_id) AS
SELECT 2, 1 FROM DUAL
UNION ALL SELECT 3, 2 FROM DUAL
UNION ALL SELECT 4, 1 FROM DUAL
UNION ALL SELECT 5, 3 FROM DUAL
UNION ALL SELECT 6, 7 FROM DUAL;
Query 1:
SELECT t.sub_id,
t.master_id,
CONNECT_BY_ROOT( t.master_id ) AS PMC
FROM test t
LEFT OUTER JOIN
test x
ON ( t.master_id = x.sub_id )
START WITH x.sub_id IS NULL
CONNECT BY PRIOR t.sub_id = t.master_id
Results:
| SUB_ID | MASTER_ID | PMC |
|--------|-----------|-----|
| 2 | 1 | 1 |
| 3 | 2 | 1 |
| 5 | 3 | 1 |
| 4 | 1 | 1 |
| 6 | 7 | 7 |
Query 2:
SELECT t.sub_id,
t.master_id,
CONNECT_BY_ROOT( t.master_id ) AS PMC
FROM test t
START WITH NOT EXISTS ( SELECT 'x' FROM test x WHERE t.master_id = x.sub_id )
CONNECT BY PRIOR t.sub_id = t.master_id
Results:
| SUB_ID | MASTER_ID | PMC |
|--------|-----------|-----|
| 2 | 1 | 1 |
| 3 | 2 | 1 |
| 5 | 3 | 1 |
| 4 | 1 | 1 |
| 6 | 7 | 7 |