I have a table that contains data something like this
TABLE_A
ID PARENT_ID NAME PROJECT_ID
1 abc
2 1 def
3 2 ghi
4 3 jkl 101
5 1 mno
and I have another table that contains some data that depends on first table 'project_id' :
TABLE_B
ID PROJECT_ID NAME
1 101 prs
2 101 tuv
3 102 xyz
4 102 hgf
I want a result something like this ;
abc
def
ghi
jkl
prs
tuv
mno
I have tried something like this but I did not know how to connect 'TABLE_B'
SELECT LEVEL, A.NAME
FROM TABLE_A A
CONNECT BY PRIOR A.ID = PRIOR A.PARENT_ID
ORDER BY LEVEL;
If I understand well your need, this could be a way:
/* building a test case */
with TABLE_A(ID, PARENT_ID, NAME, PROJECT_ID) as (
select 1, null, 'abc', null from dual union all
select 2, 1 , 'def', null from dual union all
select 3, 2 , 'ghi', null from dual union all
select 4, 3 , 'jkl', 101 from dual union all
select 5, 1 , 'mno', null from dual
),TABLE_B(ID, PROJECT_ID, NAME) as (
select 1, 101, 'prs' from dual union all
select 2, 101, 'tuv' from dual union all
select 3, 102, 'xyz' from dual union all
select 4, 102, 'hgf' from dual
)
/* the query */
select name
from (
select ID, PARENT_ID, NAME, PROJECT_ID
from table_a
UNION ALL
select a.ID, a.PARENT_ID, b.NAME, a.PROJECT_ID
from table_b b
inner join table_a a
on a.project_id = b.project_id
)
start with parent_id is null
connect by prior id = parent_id
The idea here is to build a partial result that contains all the data from table_a and table_b and then use this result in a hierarchical query as if it was a single table.
The result:
abc
def
ghi
jkl
prs
tuv
mno
Related
I need a SQL query for Oracle that select groups that contains the elements "ABC" and "ANQ"
group X Column Q
-------- ---------
123 ABC
123 AAA
123 ANQ
456 ANQ
456 PKR
579 AAA
579 XYZ
886 ABC
The desired result should be
group X Column Q
-------- ---------
123 ABC
123 AAA
123 ANQ
You can query the table only once by using the analytic COUNT function with conditional aggregation:
SELECT x,
q
FROM (
SELECT x,
q,
COUNT(CASE q WHEN 'ABC' THEN 1 END) OVER (PARTITION BY x) AS num_abc,
COUNT(CASE q WHEN 'ANQ' THEN 1 END) OVER (PARTITION BY x) AS num_anq
FROM table_name
)
WHERE num_abc > 0
AND num_anq > 0;
Which, for the sample data:
CREATE TABLE table_name (X, Q) AS
SELECT 123, 'ABC' FROM DUAL UNION ALL
SELECT 123, 'AAA' FROM DUAL UNION ALL
SELECT 123, 'ANQ' FROM DUAL UNION ALL
SELECT 456, 'ANQ' FROM DUAL UNION ALL
SELECT 456, 'PKR' FROM DUAL UNION ALL
SELECT 579, 'AAA' FROM DUAL UNION ALL
SELECT 579, 'XYZ' FROM DUAL UNION ALL
SELECT 886, 'ABC' FROM DUAL;
Outputs:
X
Q
123
ABC
123
AAA
123
ANQ
fiddle
For example:
Sample data:
SQL> with test (x, q) as
2 (select 123, 'abc' from dual union all
3 select 123, 'aaa' from dual union all
4 select 123, 'anq' from dual union all
5 select 456, 'anq' from dual union all
6 select 456, 'pkr' from dual union all
7 select 579, 'aaa' from dual union all
8 select 579, 'xyz' from dual union all
9 select 886, 'abc' from dual
10 )
Query:
11 select x, q
12 from test a
13 where exists (select null
14 from test b
15 where b.q in ('abc', 'anq')
16 and b.x = a.x
17 group by b.x
18 having count(distinct b.q) = 2
19 );
X Q
---------- ---
123 abc
123 aaa
123 anq
SQL>
I have table like this:
id
name
contact
1
A
65489
1
A
1
A
45564
2
B
3
C
12345
3
C
1234
4
D
32
4
D
324
I only want users who have no contact or the contact length is not five.
If the user has two or more contacts and the length of one of them is five and the rest is not, then such users should not be included in the table.
so,If the customer has at least one contact length of five, I do not want that.
so, i want table like this:
id
name
contact
2
B
4
D
32
4
D
324
Can you halp me?
You could actually do a range check here:
SELECT id, name, contact
FROM yourTable t1
WHERE NOT EXISTS (
SELECT 1
FROM yourTable t2
WHERE t2.id = t1.id AND TO_NUMBER(t2.contact) BETWEEN 10000 AND 99999
);
Note that if contact already be a numeric column, then just remove the calls to TO_NUMBER above and compare directly.
Yet another option:
SQL> with test (id, name, contact) as
2 (select 1, 'a', 65879 from dual union all
3 select 1, 'a', null from dual union all
4 select 1, 'a', 45564 from dual union all
5 select 2, 'b', null from dual union all
6 select 3, 'c', 12345 from dual union all
7 select 3, 'c', 1234 from dual union all
8 select 4, 'd', 32 from dual union all
9 select 4, 'd', 324 from dual
10 )
11 select *
12 from test a
13 where exists (select null
14 from test b
15 where b.id = a.id
16 group by b.id
17 having nvl(max(length(b.contact)), 0) < 5
18 );
ID N CONTACT
---------- - ----------
2 b
4 d 32
4 d 324
SQL>
COUNT analytic function can also be used to get the job done.
select id, name, contact
from (
select id, name, contact
, count( decode( length(contact), 5, 1, null ) ) over( partition by id, name ) cnt
from YourTable
)
where cnt = 0
demo
Given a list of client names (comma separated) I need to find out how many exists in Client table and how many dont.
The table and input lists are both huge; here I'm just giving table as an example of my requirement.
Client
client_name
status
abc
1
def
1
ghi
0
jkl
1
Query I thought of using is
select client_name, count(client_name) over (partition by client_name) count_client from client where status = 1 and client_name in ('abc', 'xyz', 'ghi', 'jkl');
This returns:
client_name
count_client
abc
1
jkl
1
But what I need is
client_name
count_client
abc
1
xyz
0
ghi
0
jkl
1
Could someone please help me with the SQL query
If you have "huge" amount of data, then your best option is to store list of values you're interested in into a separate table. That's trivial.
Otherwise, as an alternative you could try something like this (sample data in lines #1 - 11; query begins at line #12):
SQL> WITH
2 client (client_name, status)
3 AS
4 -- this is contents of your table
5 (SELECT 'abc', 1 FROM DUAL
6 UNION ALL
7 SELECT 'def', 1 FROM DUAL
8 UNION ALL
9 SELECT 'ghi', 0 FROM DUAL
10 UNION ALL
11 SELECT 'jkl', 1 FROM DUAL)
12 -- join your table with a collection
13 SELECT t.COLUMN_VALUE AS client_name, NVL (SUM (c.status), 0) AS count_client
14 FROM client c
15 RIGHT JOIN TABLE (sys.odcivarchar2list ('abc',
16 'xyz',
17 'ghi',
18 'jkl')) t
19 ON t.COLUMN_VALUE = c.client_name
20 AND c.status = 1
21 GROUP BY t.COLUMN_VALUE
22 ORDER BY t.COLUMN_VALUE;
CLIENT_NAME COUNT_CLIENT
--------------- ------------
abc 1
ghi 0
jkl 1
xyz 0
SQL>
You should ideally maintain a separate table containing the client names of interest. Absent that, we can use a CTE to store the values, then left join to your current table:
WITH clients AS (
SELECT 'abc' AS client_name FROM dual UNION ALL
SELECT 'xyz' FROM dual UNION ALL
SELECT 'ghi' FROM dual UNION ALL
SELECT 'jkl' FROM dual
)
SELECT cl.client_name, COUNT(c.client_name) AS count_client
FROM clients cl
LEFT JOIN client c
ON c.client_name = cl.client_name AND
c.status = 1
GROUP BY cl.client_name;
Demo
I have two tables and want to get data from one table based on the values got from Listtagg in the second table:
T1
ID Name
==============
1 Name1
2 Person2
3 Someone3
4 Mr.4
T2
ID Acct
===============
1 1234
1 5678
2 1234
3 5678
3 8769
4 1234
My listagg query on T2 has returned the following:
Acct Id
====== ========
1234 1,2,4
5678 1,3
I need the result with Names from other table something like:
Acct Id Name
====== ======== ==========
1234 1,2,4 Name1, Person2, Mr.4
5678 1,3 Name1, Someone3
Why would you first aggregate IDs, and then put effort in splitting them to collect NAMEs? Do it immediately. Not that it can't be done (it can, in a relatively simple manner, but - why?!?).
Sample data is from line #1 - 15; query you might need begins at line #16.
SQL> with
2 t1 (id, name) as
3 (select 1, 'Name1' from dual union all
4 select 2, 'Person2' from dual union all
5 select 3, 'Someone3' from dual union all
6 select 4, 'Mr4' from dual
7 ),
8 t2 (id, acct) as
9 (select 1, 1234 from dual union all
10 select 1, 5678 from dual union all
11 select 2, 1234 from dual union all
12 select 3, 5678 from dual union all
13 select 3, 8769 from dual union all
14 select 4, 1234 from dual
15 )
16 select b.acct,
17 listagg(b.id, ', ') within group (order by b.id) id,
18 listagg(a.name, ', ') within group (order by b.id) name
19 from t1 a join t2 b on a.id = b.id
20 group by b.acct;
ACCT ID NAME
---------- ---------- --------------------
1234 1, 2, 4 Name1, Person2, Mr4
5678 1, 3 Name1, Someone3
8769 3 Someone3
SQL>
#Littlefoot's answer is absolutely correct. But just as an addition: don't use listagg if you are going to split those aggregated values. Just use collect() aggregate function to get needed data as a collection.
For example:
select
cast(collect(level) as sys.odcinumberlist) as varray_of_numbers,
cast(collect(level) as ORA_MINING_NUMBER_NT) as nested_table_of_numbers,
cast(collect(sys.ku$_objnum(level)) as sys.KU$_OBJNUMSET) as nested_table_of_objnum
from dual connect by level<=3;
--Result:
VARRAY_OF_NUMBERS NESTED_TABLE_OF_NUMBERS NESTED_TABLE_OF_OBJNUM(OBJ_NUM)
------------------------- ------------------------------ ------------------------------------------------------------
ODCINUMBERLIST(1, 2, 3) ORA_MINING_NUMBER_NT(1, 2, 3) KU$_OBJNUMSET(KU$_OBJNUM(1), KU$_OBJNUM(2), KU$_OBJNUM(3))
Update: This is a query for your tables, as you asked in the comment:
select b.acct,
cast(collect(b.id) as ORA_MINING_NUMBER_NT) as nested_table_of_numbers,
cast(collect(a.name) as ORA_MINING_VARCHAR2_NT) as nested_table_of_varchar2
-- listagg(b.id, ', ') within group (order by b.id) id,
-- listagg(a.name, ', ') within group (order by b.id) name
from t1 a join t2 b on a.id = b.id
group by b.acct;
Full example:
with
t1 (id, name) as
(select 1, 'Name1' from dual union all
select 2, 'Person2' from dual union all
select 3, 'Someone3' from dual union all
select 4, 'Mr4' from dual
),
t2 (id, acct) as
(select 1, 1234 from dual union all
select 1, 5678 from dual union all
select 2, 1234 from dual union all
select 3, 5678 from dual union all
select 3, 8769 from dual union all
select 4, 1234 from dual
)
select b.acct,
cast(collect(b.id) as ORA_MINING_NUMBER_NT) as nested_table_of_numbers,
cast(collect(a.name) as ORA_MINING_VARCHAR2_NT) as nested_table_of_varchar2
-- listagg(b.id, ', ') within group (order by b.id) id,
-- listagg(a.name, ', ') within group (order by b.id) name
from t1 a join t2 b on a.id = b.id
group by b.acct;
I have an oracle DB w/ a table that contains records associated to a person (based on an ID). The records are categorized as category = 1, 2, or 3.
I would like to pull as follows:
- # of people with only a category 1 record (no category=2 or 3)
- # of people with only a category 2 record (no category=1 or 3)
- # of people with only a category 3 record (no category=1 or 2)
- # of people with both category 1 & 2 records (no category=3)
- # of people with both category 1 & 3 records (no category=2)
- # of people with all category records 1,2, & 3
- # of people with both a category 2 & 3 records (no category=1)
I could only think of the following solution (modified for each case):
select count(*) from table1
where id in (select id from table1 where category=1)
and id not in (select id from table1 where category=2)
and id not in (select id from table1 where category=3)
But, I believe this is a highly inefficient way of doing this, was wondering if anyone had quicker/better way of getting this info.
Thanks!
One way to do this is to bring the categories together, using listagg() and then reaggregate:
select categories, count(*)
from (select listagg(t1.category, ',') within group (order by t1.category) as categories, personid
from table1 t1
group by personid
) x
group by categories;
EDIT:
If you need distinct values:
select categories, count(*)
from (select listagg(t1.category, ',') within group (order by t1.category) as categories, personid
from (select distinct t1.category, t1.personid from table1 t1) t1
group by personid
) x
group by categories;
Here is a query that, for each ID, shows the count of distinct categories and the MIN and MAX category. This query can be used as a sub-query in further processing (you didn't explain exactly HOW you want the results to be presented). When the COUNT is 1, then the single category is that in the MIN_CAT column; when the COUNT is 3, then all three categories are present for that ID; and when the COUNT is 2, then the two categories that are present are in the MIN and the MAX columns. Whatever else you need to do from here should be very simple; for example you can now GROUP BY CT, MIN_CAT, MAX_CT and count ID's.
I do a count(distinct category) to allow the possibility of non-unique (id, category) - as illustrated in the sample data I include in a WITH clause (which is NOT part of the SQL query!)
with
test_data ( id, category ) as (
select 101, 3 from dual union all
select 101, 1 from dual union all
select 101, 3 from dual union all
select 104, 2 from dual union all
select 105, 2 from dual union all
select 105, 2 from dual union all
select 105, 1 from dual union all
select 106, 1 from dual union all
select 106, 2 from dual union all
select 106, 3 from dual union all
select 106, 3 from dual
)
select id,
count(distinct category) as ct,
min(category) as min_cat,
max(category) as max_cat
from test_data
group by id
;
ID CT MIN_CAT MAX_CAT
--- -- ------- -------
101 2 1 3
105 2 1 2
104 1 2 2
106 3 1 3
Oracle Setup:
CREATE TABLE test_data ( id, category ) as
select 101, 3 from dual union all
select 101, 1 from dual union all
select 101, 3 from dual union all
select 104, 2 from dual union all
select 105, 2 from dual union all
select 105, 2 from dual union all
select 105, 1 from dual union all
select 106, 1 from dual union all
select 106, 2 from dual union all
select 106, 3 from dual union all
select 106, 3 from dual union all
select 107, 1 from dual union all
select 107, 3 from dual;
Query:
SELECT c1,
c2,
c3,
LTRIM(
DECODE( c1, 1, ',1' ) || DECODE( c2, 1, ',2' ) || DECODE( c3, 1, ',3' ),
','
) AS categories,
COUNT(1) AS num_people,
LISTAGG( id, ',' ) WITHIN GROUP ( ORDER BY id ) AS people
FROM ( SELECT DISTINCT * FROM test_data )
PIVOT ( COUNT(1) FOR category IN ( 1 AS c1, 2 AS c2, 3 AS c3 ) )
GROUP BY c1, c2, c3;
Output:
C1 C2 C3 CATEGORIES NUM_PEOPLE PEOPLE
-- -- -- ---------- ---------- ----------
0 1 0 2 1 104
1 0 1 1,3 2 101,107
1 1 0 1,2 1 105
1 1 1 1,2,3 1 106