Reputation: 2647
Not sure the title explains the problem well; this is what I'm working with,
I have the following tables,
-- table = kms_doc_ref_currnt_v
DOC_ID VARCHAR2(19)
TO_DOC_ID VARCHAR2(19)
BRANCH_ID NUMBER(8)
REF_TYP_CD VARCHAR2(20)
-- table = kms_fil_nm_t
DOC_ID VARCHAR2(19) PRIMARY KEY UNIQUE
For example, I can get a count of all kms_doc_ref_currnt_v
records that have a to_doc_id = 59678
, where 59678 is one value in kms_fil_nm_t
, with this query,
select 'doc_id 59678 has ' || count(to_doc_id) as cnt from kms_doc_ref_currnt_v where branch_id=1 and ref_typ_cd in ('CONREF', 'KBA') and to_doc_id=59678;
kms_doc_ref_currnt_v.to_doc_id
is a field that has one of the kms_fil_nm_t.doc_id
values. kms_doc_ref_currnt_v.doc_id
is also one of the values in kms_fil_nm_t
.
The single query I'm looking for would loop over each kms_fil_nm_t.doc_id
and count all the rows in kms_doc_ref_currnt_v
that have a similar to_doc_id
. Each row returned would look like the output of the query above. Here's example output,
doc_id 1 has 32
doc_id 2 has 314
doc_id 3 has 2718
doc_id 4 has 42
doc_id 5 has 128
doc_id 6 has 11235
.
.
.
Probably simple but I just can't figure it out.
Upvotes: 0
Views: 168
Reputation: 191570
You need to use an outer join between the driving table that has all the doc_id
values and the dependent table that may or may not have matching entries; and a group by
clause to define what your aggregate function (count()
) is operating against. Something like:
select 'doc_id ' || t.doc_id || ' has ' || count(*)
from kms_fil_nm_t t
left join kms_doc_ref_currnt_v v
on v.to_doc_id = t.doc_id
and v.branch_id = 1
and v.ref_typ_cd in ('CONREF', 'KBA')
group by t.doc_id;
This assumes you want to know when a doc_id
isn't used, so you want entries like doc_id 1234 has 0
. If you don't want to see those then you could use an inner join instead of an outer - essentially just remove the word left
- but if that is the case then you don't really need to join at all, you could just do:
select 'doc_id ' || v.to_doc_id || ' has ' || count(*)
from kms_doc_ref_currnt_v v
where v.branch_id = 1
and v.ref_typ_cd in ('CONREF', 'KBA')
group by v.to_doc_id;
Unless there are to_doc_id
values which are not in the other table, which would be included in the results of this query, but excluded if the tables were joined.
Upvotes: 1
Reputation: 34387
Do a join with two tables and add a GROUP BY
clause as below:
SELECT 'doc_id 59678 has ' || count(to_doc_id) as cnt
FROM kms_doc_ref_currnt_v kv, kms_fil_nm_t kt
WHERE kt.doc_id= kv.to_doc_id
AND kv.branch_id=1
AND kv.ref_typ_cd in ('CONREF', 'KBA')
AND kv.to_doc_id=59678
GROUP BY kv.to_doc_id;
EDIT:
To get all records from kms_doc_ref_currnt_v
irrespective of their reference availability in kms_fil_nm_t
and kv.to_doc_id=59678
, do like this:
SELECT 'doc_id 59678 has ' || count(to_doc_id) as cnt
FROM kms_doc_ref_currnt_v kv
LEFT JOIN kms_fil_nm_t kt
ON (kt.doc_id= kv.to_doc_id )
WHERE kv.branch_id=1
AND kv.ref_typ_cd in ('CONREF', 'KBA')
GROUP BY kv.to_doc_id;
to replace the hardcoding 59678
, you may want to write:
SELECT 'doc_id ' || kt.doc_id || ` has ' || count(to_doc_id) as cnt
FROM kms_doc_ref_currnt_v kv
LEFT JOIN kms_fil_nm_t kt
ON (kt.doc_id= kv.to_doc_id )
WHERE kv.branch_id=1
AND kv.ref_typ_cd in ('CONREF', 'KBA')
GROUP BY kv.to_doc_id, kt.doc_id;
Upvotes: 1