I'd really appreciate some help with an SQL query across tables. I realise this sort of thing is asked constantly, but I can't find a similar enough question to make sense of the answers.
I want to select rows from table_A
that have a corresponding tag in table_B
.
So, for example, " select rows from table_a
which are tagged 'chair' " would return table_C
.
Also, id
is a unique in table_a
, and not in table_b
.
table_A: table_B: table_C:
id object id tag id object
1 lamp 1 furniture 3 stool
2 table 2 furniture 4 bench
3 stool 3 furniture
4 bench 4 furniture
4 chair
3 chair
Alternatively, is there a better way to organise the data?
The simplest solution would be a correlated sub select:
select
A.*
from
table_A A
where
A.id in (
select B.id from table_B B where B.tag = 'chair'
)
Alternatively you could join the tables and filter the rows you want:
select
A.*
from
table_A A
inner join table_B B
on A.id = B.id
where
B.tag = 'chair'
You should profile both and see which is faster on your dataset.
You should make tags their own table with a linking table.
items:
id object
1 lamp
2 table
3 stool
4 bench
tags:
id tag
1 furniture
2 chair
items_tags:
item_id tag_id
1 1
2 1
3 1
4 1
3 2
4 2
select a.id, a.object
from table_A a
inner join table_B b on a.id=b.id
where b.tag = 'chair';
I have a similar problem (at least I think it is similar). In one of the replies here the solution is as follows:
select
A.*
from
table_A A
inner join table_B B
on A.id = B.id
where
B.tag = 'chair'
That WHERE clause I would like to be:
WHERE B.tag = A.<col_name>
or, in my specific case:
WHERE B.val BETWEEN A.val1 AND A.val2
More detailed:
Table A carries status information of a fleet of equipment. Each status record carries with it a start and stop time of that status. Table B carries regularly recorded, timestamped data about the equipment, which I want to extract for the duration of the period indicated in table A.