SQLite 5 tables, Join, Sum, GroupBy - sqlite

Question

I am desperately working on a issue and cannot resolve. I have a SQLite DB with five tables and corresponding columns:
Tab1 = {Job_ID, Company_ID, Source_ID}
Tab1_Category = {JOb_ID, CAtegory_ID}
Category = {ID, First_level, Second_level}
Tab2 = {Job_ID, Log_Date, Clicks, Applications}
Source = {ID, Name}
I craeated a sample db:
CREATE TABLE TAB1 (
`job_id` INTEGER,
`company_id` INTEGER,
`source_id` INTEGER
);
INSERT INTO TAB1
(`job_id`, `company_id`, `source_id`)
VALUES
('1', '222', '2'),
('2', '222', '1'),
('3', '222', '1'),
('4', '222', '1'),
('5', '255', '3');
CREATE TABLE TAB1_CATEGORY (
`job_id` INTEGER,
`category_id` INTEGER
);
INSERT INTO TAB1_CATEGORY
(`job_id`, `category_id`)
VALUES
('1', '31'),
('2', '36'),
('3', '33'),
('3', '35'),
('4', '32'),
('4', '31'),
('5', '34');
CREATE TABLE CATEGORY (
`id` INTEGER,
`first_level` VARCHAR(3),
`second_level` VARCHAR(3)
);
INSERT INTO CATEGORY
(`id`, `first_level`, `second_level`)
VALUES
('30', 'sss', 'aaa'),
('31', 'sss', 'aaa'),
('32', 'sss', 'bbb'),
('33', 'ggg', 'ccc'),
('34', 'ggg', 'ddd'),
('35', 'ggg', 'eee'),
('36', 'hhh', 'fff');
CREATE TABLE SOURCE (
`id` INTEGER,
`name` VARCHAR(3)
);
INSERT INTO SOURCE
(`id`, `name`)
VALUES
('1', 'mmm'),
('2', 'nnn'),
('3', 'ooo');
CREATE TABLE TAB2 (
`job_id` INTEGER,
`log_date` VARCHAR(10),
`clicks` INTEGER,
`applications` INTEGER
);
INSERT INTO TAB2
(`job_id`, `log_date`, `clicks`, `applications`)
VALUES
('1', '01-01-1999', '6', '2'),
('1', '02-01-1999', '7', '3'),
('1', '03-01-1999', '9', '1'),
('2', '02-01-1999', '4', '1'),
('2', '05-01-1999', '8', '2'),
('3', '03-01-1999', '9', '0'),
('4', '05-01-1999', '5', '3'),
('4', '06-01-1999', '4', '1'),
('5', '01-01-1999', '1', '0'),
('5', '03-01-1999', '3', '1');
I need the following results with one query>
list of all JOB_ID (Tab1) and Company_ID (Tab1) where First_level(from table category) is "ggg" or "sss" and Name (from table Source) is "mmm"
sum of clicks and sum of applications (Tab2) per Job_ID
sum of distinct Second_level (from table Category)
sum of applications for each company_ID (a company_ID can have many Job_ids)
This is what I did so far, but is not working the way i want it>
SELECT t1.job_id, t1.company_id,
SUM(t2.clicks), SUM(t2.applications), COUNT(DISTINCT c.second_level)
FROM TAB1 t1
JOIN SOURCE s ON s.id = t1.source_id
JOIN TAB1_CATEGORY tc ON t1.job_id = tc.job_id
JOIN CATEGORY c ON tc.category_id = c.id
JOIN TAB2 t2 ON t1.job_id = t2.job_id
WHERE c.first_level IN ('ggg', 'sss') AND s.NAME ='mmm'
GROUP BY t1.job_id
What I get is sum of all clicks/applications and not per job_id. :
job_id
company_id
SUM(t2.clicks)
SUM(t2.applications)
COUNT(DISTINCT c.second_level)
3
222
18
0
2
4
222
18
8
2
And this is what i want to get:
job_id
company_id
SUM(t2.clicks)
SUM(t2.applications)
COUNT(DISTINCT c.second_level)
Total Appl per company
3
222
9
0
2
4
4
222
9
4
2
4

Answer 1

First you must aggregate inside TAB2 and then join (with INNER joins).
Also you need SUM() window function for the column Total Appl per company:
SELECT t1.JOB_ID, t1.COMPANY_ID,
t2.total_clicks, t2.total_apps,
COUNT(DISTINCT c.SECOND_LEVEL) count_second_level,
SUM(t2.total_apps) OVER (PARTITION BY t1.COMPANY_ID) [Total Appl per company]
FROM TAB1 t1
INNER JOIN SOURCE s ON s.ID = t1.SOURCE_ID
INNER JOIN TAB1_CATEGORY tc ON t1.JOB_ID = tc.JOB_ID
INNER JOIN CATEGORY c ON tc.CATEGORY_ID = c.ID
INNER JOIN (
SELECT JOB_ID, SUM(CLICKS) total_clicks, SUM(APPLICATIONS) total_apps
FROM TAB2
GROUP BY JOB_ID
) t2 ON t1.JOB_ID = t2.JOB_ID
WHERE c.FIRST_LEVEL IN ('ggg', 'sss') AND s.NAME ='mmm'
GROUP BY t1.JOB_ID, t1.COMPANY_ID, t2.total_clicks, t2.total_apps
See the demo.
Results:
> job_id | company_id | total_clicks | total_apps | count_second_level | Total Appl per company
> -----: | ---------: | -----------: | ---------: | -----------------: | ---------------------:
> 3 | 222 | 9 | 0 | 2 | 4
> 4 | 222 | 9 | 4 | 2 | 4