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create table df_1 (job_id int, worker_id int, random_id text);
insert into df_1 (job_id, worker_id, random_id)
values
(1711418, 45430, 'random'),
(1711418, 46353, 'random'),
(1711418, 45158, 'random');
3 rows affected
create table df_2 (job_id int, worker_id int);
insert into df_2 (job_id, worker_id)
values
(1711418, 45430),
(1711419, 46117),
(1711419, 46322),
(1711419, 45926);
4 rows affected
select job_id, worker_id, random_id
from df_1
union all
select job_id, worker_id, 'NaN'
from df_2 d2
where not exists (select *
from df_1 d1
where d1.job_id = d2.job_id
and d1.worker_id = d2.worker_id);
job_id worker_id random_id
1711418 45430 random
1711418 46353 random
1711418 45158 random
1711419 46117 NaN
1711419 46322 NaN
1711419 45926 NaN
select job_id, worker_id, random_id
from df_1
union all
select job_id, worker_id, 'NaN'
from
(
select job_id, worker_id
from df_2 d2
except
select job_id, worker_id
from df_1
) t;
job_id worker_id random_id
1711418 45430 random
1711418 46353 random
1711418 45158 random
1711419 46322 NaN
1711419 46117 NaN
1711419 45926 NaN