Merge the results from multiple tables side by side in PostgreSQL - sql

Question

I have 3 tables using with I need to make a resulting table.
Scenario:
The table 'Incoming Sentences' contains the steram of sentences
flowing in to the database.
The table 'tagged_sentences' contains
the sentences from 'incoming_sentences' which are tagged/labelled by the editor. Sometimes the admin overwrites the label if editor makes any mistake in labelling the data. Admin labelled data is final and considered to be correct.
The table 'accounts' contain the user's account level information
Below are the tables with sample information.
Incoming Sentences
id
sentence
market
model_identified_intent
tagged_at
1
abcd
en_in
alphabets
12/12/2021
2
1234
en_in
numeric
11/13/2021
3
a1b2
en_in
alphaNumeric
10/14/2021
4
efgh
en_in
alphabets
10/15/2021
5
e5f6
en_in
alphaNumeric
11/16/2021
Tagged Sentences
id
tagger_id
sentence_id
tagger_tagged_intent
1
32
1
alphabets
2
32
2
alphabets
3
32
3
Numeric
4
33
2
Numeric
5
33
3
alphaNumeric
User Account Table
id
user_role
email
name
32
editor
editor#editor.com
editor123
33
admin
admin#admin.com
admin456
Expected Output:
I want to pull the result as 'total tagged senteces per month' in one column and 'total corrections per month by the admin'. Through which the error rate can be known.
year-month
total_tagged
Total Error (Corrected by admin)
2021-10
2
1
2021-11
2
1
2021-12
1
0
Requesting your help in solving this. I tried the below code. But it isn't working as expected.
WITH cte1 AS (SELECT tggs.id id,
tggs.sentence AS sentence,
tggs.market AS market,
tggs.prod_identified_intent AS prod_identified_intent,
tggs.tagged_at AS tagged_at,
ROW_NUMBER() OVER (PARTITION BY tagged_at) AS rn
FROM tagging_sentences tggs),
cte2 AS (SELECT tgds.sentence_id_id AS sentence_id,
tgds.tagger_id_id AS tagger_id,
tgds.tagged_intent AS tagged_intent
FROM tagged_sentences tgds),
cte3 AS (SELECT acts.id AS account_id, acts.email AS email, acts.role AS role FROM accounts AS acts),
cte4 AS (SELECT tggs.tagged_at, COUNT(*) AS count, ROW_NUMBER() OVER (PARTITION BY count(*)) AS rn
FROM tagging_sentences AS tggs
JOIN tagged_sentences AS tgds ON tggs.id = tgds.sentence_id_id
JOIN accounts acts ON tgds.tagger_id_id = acts.id
WHERE tgds.tagger_id_id = 33
AND tgds.sentence_id_id IN (SELECT tagging_sentences.id
FROM tagging_sentences,
tagged_sentences
WHERE tagged_sentences.tagger_id_id = 32) GROUP BY tagged_at)
SELECT TO_CHAR(cte1.tagged_at, 'YYYY-MM'),
COUNT(cte1.sentence), cte4.count
FROM cte1
JOIN cte2 ON cte1.id = cte2.sentence_id
JOIN cte3 ON cte2.tagger_id = cte3.account_id
JOIN cte4 ON cte1.rn = cte4.rn
GROUP BY TO_CHAR(cte1.tagged_at, 'YYYY-MM'), TO_CHAR(cte4.tagged_at, 'YYYY-MM'), cte4.count;

Answer 1

I started trying to determine just where your initial query went awry, but there are still too many inconsistencies; columns names not defined, tables not defined, etc/ And I was not sure what all the CTEs were for. A couple seem to do nothing bu "convert" a table into a CTE (absolutely not necessary). And to attempt getting ROW_NUMBER() results to match (highly doubtful at any rate). The other issue is the magic numbers (id = 32, 33), what happens when there is another Editor and/or Admin? It just seemed overly complex.
So with that I undertook a rewrite. First I abandoned the CTE approach and used just simple Joins. An Inner Join between Incoming Sentences and Tagged Sentences and an Outer Join between Tagged Sentences and User Accounts. The twist being 2 Outer Joins, 1 getting editor role the other getting admin role. Thus removing the dependency on the magic numbers. With these in place the only thing that remained was simple counting: ( see demo )
select date_trunc( 'month', i.tagged_at) "Year Month"
, count(uae.user_role) +
count(uaa.user_role) "Total Tagged"
, count(uaa.user_role) "Total Error (Corrected by admin)"
from incoming_sentences i
join tagged_sentences t
on (t.sentence_id = i.id)
left join user_accounts uae
on ( uae.id = t.tagger_id
and uae.user_role = 'editor'
)
left join user_accounts uaa
on ( uaa.id = t.tagger_id
and uaa.user_role= 'admin'
)
group by date_trunc( 'month', i.tagged_at)
order by date_trunc( 'month', i.tagged_at);
Note: Demo includes addition of another Editor and Admin. It also shows the case where editor and admin take action in different month.
Good luck with it.