I want to take the data from two tables and output them in one row .
output will have two columns "to" and "from" where the condition is "from" will be having data from second table where type is true and "to" column will have data from second table where type is false . FK_ID in second table is linked to ID on the first table . Please help with the query.
I was trying to do with inner joins and union was not able to make it work . Thanks in advance .
TABLE 1
ID | PATH|
1 | ABC |
2 | EFG |
TABLE 2
ID | FK_ID | NUMBER | TYPE
20 | 1 | 123 | TRUE
21 | 1 | 456 | FALSE
28 | 2 | 888 | FALSE
29 | 2 | 939 | TRUE
OUTPUT SHOULD BE:
ID | PATH | TO | FROM
1 | ABC | 456 | 123
2 | EFG | 888 | 939
Use aggregation with pivoting logic to identify the "to" and "from" components of each path:
SELECT
t1.ID,
t1.PATH,
MAX(CASE WHEN t2.TYPE = 'FALSE' THEN t2.NUMBER END) AS "TO",
MAX(CASE WHEN t2.TYPE = 'TRUE' THEN t2.NUMBER END) AS "FROM"
FROM table1 t1
LEFT JOIN table2 t2
ON t1.ID = t2.FK_ID
GROUP BY
t1.ID,
t1.PATH
ORDER BY
t1.ID;
If performance is an issue, you might find a lateral join to be faster:
SELECT t1.*, t2.*
FROM table1 t1 LEFT JOIN LATERAL
(SELECT SUM(T2.NUMBER) FILTER (WHERE NOT t2.TYPE) as num_to,
SUM(T2.NUMBER) FILTER (WHERE t2.TYPE) as num_from
FROM table2 t2
WHERE t1.ID = t2.FK_ID
) t2
ORDER BY t1.ID;
This avoids the outer GROUP BY and probably the sorting as well (assuming that ID is the primary key).
It also assumes that TYPE is a Postgres boolean type. If not, use string comparisons for the WHERE clauses.
Related
I have two tables with shared key and I'm trying to join them to filter data based on few conditions
tbl1
id | OutPutValue |
1 | 2019 |
2 | 2018 |
tbl2
object_id | status | type |
1 | 22 | a |
1 | 22 | c |
1 | 33 | b |
2 | 33 | c |
2 | 33 | c |
2 | 33 | c |
What I'm trying to get is : it must select all 'OutPutValue' from tbl1 where, in tbl2 column 'type' should be c, and column 'status' must have same value for all rows i.e. 33. Note that Primary key (id) of tbl1 is foreign key (object_id) in tbl2.
Select column from tbl1 if, All rows in tbl2 (id of tbl1 have multiple rows (based on object_id) in tbl2) have same status value i.e. 33 and Type should be 'c'.
OutPutValue | Type | status |
2018 | c | 33 |
I have tried with following solution, but it's not returning desired output :
SELECT a.OutPutValue FROM tbl1 a JOIN tbl2 b ON a.id = b.object_id WHERE b.Type =c
GROUP BY a.OutPutValue, b.status HAVING b.STATUS IN(33)
You can try using correlated subquery
DEMO
select distinct OutPutValue,type, status
from t2 a inner join t1 b on a.object_id=b.id
where type='c' and not exists
(select 1 from t2 a1 where a.object_id=a1.object_id and status<>33 and type='c')
OUTPUT:
OutPutValue type status
2018 c 33
Another solution could be the following :
SELECT T1.id, T1.outputvalue FROM tbl1 T1
JOIN (
SELECT tbl2.*, MAX(type), MAX(status)
FROM tbl2
GROUP BY object_id
HAVING
MIN(status) = MAX(status) AND
MIN(type) = MAX(type)
) T2 ON T1.id = T2.object_id
WHERE T2.type = 'c'
EDIT: I have updated my query to match a particular case which make it quite similar to another answer.
FIND A DEMO HERE
Try a join combined with an aggregation:
SELECT
t1.OutPutValue,
MAX(t2.type) AS type,
MAX(t2.status) AS status
FROM tbl1 t1
INNER JOIN tbl2 t2
ON t1.id = t2.object_id
GROUP BY
t1.id,
t1.OutPutValue
HAVING
MIN(t2.status) = MAX(t2.status) AND
MAX(t2.status) = 33 AND
MIN(t2.type) = MAX(t2.type) AND
MAX(t2.type) = 'c';
I have two tables:
TABLE1
id_attr
-------
1
2
3
TABLE2
id | id_attr | val
----------------------
10 | 1 | A
10 | 2 | B
As a result I want a table that show:
RESULT
id | id_attr | val
----------------------
10 | 1 | A
10 | 2 | B
10 | 3 | NULL
So I want the row with id=10 and id_attr=3 also when id_Attr=3 is missing in TABLE2 (and I know that because I have a NULL value (or something else) in the val column of RESULT.
NB: I could have others ids in table2. For example, after insert this row on table2: {11,1,A}, as RESULT I want:
id | id_attr | val
----------------------
10 | 1 | A
10 | 2 | B
10 | 3 | NULL
11 | 1 | A
11 | 2 | NULL
11 | 3 | NULL
So, for every id, I want always the match with all id_attr.
Your specific example only has one id, so you can use the following:
select t2.id, t2.id_attr, t2.val
from table2 t2
union all
select 10, t1.id_attr, NULL
from table1 t1
where not exists (select 1 from table2 t2 where t2.id_attr = t1.id_attr);
EDIT:
You can get all combinations of attributes and ids in the following way. Use a cross join to create all the rows you want and then a left join to bring in the data you want:
select i.id, t1.id_attr, t2.val
from (select distinct id from table2) i cross join
table1 t1 left join
table2 t2
on t2.id = i.id and t2.id_attr = t1.id_attr;
It sounds like you want to do just an outer join on id_attr instead of id.
select * from table2 t2
left outer join table1 t1 on t2.id_attr = t1.id_attr;
I am wondering what should I use in SQL Server 2016 or 2017 (CTE, LOOP, JOINS, CURSOR, REPLACE, etc) to match (replace) every value in every row in temp table? What is the best solution from performance perspective?
Source Table
|id |id2|
| 1 | 2 |
| 2 | 1 |
| 1 | 1 |
| 2 | 2 |
Mapping Table
|id |newid|
| 1 | 3 |
| 2 | 4 |
Expected result
|id |id2|
| 3 | 4 |
| 4 | 3 |
| 3 | 3 |
| 4 | 4 |
You may join the second table to the first table twice:
WITH cte AS (
SELECT
t1.id AS id_old,
t1.id2 AS id2_old,
t2a.newid AS id_new,
t2b.newid AS id2_new
FROM table1 t1
LEFT JOIN table2 t2a
ON t1.id = t2a.id
LEFT JOIN table2 t2b
ON t1.id2 = t2b.id
)
UPDATE cte
SET
id_old = id_new,
id2_old = id2_new;
Demo
Not sure if you want just a select here, or maybe an update, or an insert into another table. In any case, the core logic I gave above should work for all these cases.
You'd need to apply joins on update query. Something like this:
Update tblA set column1 = 'something', column2 = 'something'
from actualName tblA
inner join MappingTable tblB
on tblA.ID = tblB.ID
this query will compare eachrow with ids and if matched then it will update/replace the value of the column as you desire. :)
Do the self join only
SELECT t1.id2 as id, t2.id2
FROM table1 t
INNER JOIN table2 t1 on t1.id = t.id
INNER JOIN table2 t2 on t2.id = t.id2
This may have best performance from solutions posted here if you have indexes set appropriately:
select (select [newid] from MappingTable where id = [ST].[id]) [id],
(select [newid] from MappingTable where id = [ST].[id2]) [id2]
from SourecTable [ST]
If I have tables like this:
t1:
id | name
----+------
1 | a
2 | b
3 | c
4 | d
t2:
id | value
----+-------
10 | xxx
20 | yyy
30 | zzz
t_join:
t1_id | t2_id
-------+-------
1 | 10
2 | 20
3 | 30
A SELECT query for t1.id=1 looks like:
SELECT t1.id, t1.name, t2.value FROM t1, t2,t_join WHERE t1.id=t_join.t1_id AND t2.id=t_join.t2_id AND t1.id=1;
And of course returns:
id | name | value
----+------+-------
1 | a | xxx
If I do the same thing with id=4, I get nothing.
SELECT t1.id, t1.name, t2.value FROM t1, t2,t_join WHERE t1.id=t_join.t1_id AND t2.id=t_join.t2_id AND t1.id=4;
id | name | value
----+------+-------
(0 rows)
And, if I do the same thing with a nonsense id=1234132, I also get nothing.
SELECT t1.id, t1.name, t2.value FROM t1, t2,t_join WHERE t1.id=t_join.t1_id AND t2.id=t_join.t2_id AND t1.id=1234132;
id | name | value
----+------+-------
(0 rows)
Is there a way I can differentiate between having an empty result (id=4) vs something that's null (id=1234132)? I guess I want verification that the id I'm checking exists without a separate query. Is this possible?
How about a left join:
SELECT t1.id, t1.name, t2.value
FROM t1 LEFT JOIN
t_join
ON t1.id = t_join.t1_id LEFT JOIN
t2
ON t2.id = t_join.t2_id
WHERE t1.id = 1;
If t.id is not found, you'll get no rows. If there are no matches in t2, then you'll get a NULL value.
Also, a simple rule: Never use commas in the FROM clause. Always, always use proper, explicit JOIN syntax.
I have three columns: Team_Code, ID, times_together.
I'm trying to count how many times ID's have the same "Team_Code" and add times_together to it.
In other words- I'm trying to write all the pairs of one column, check how many times they have the same value in other raw, and add third raw to it.
The simple way to ask this question is picture so:
Values can appear twice (for example
1110 with 8888
and then
8888 with 1110).
You could self join the table on team_code and sum the times_together:
SELECT t1.id, t2.id, SUM(t1.times_together)
FROM mytable t1
JOIN mytable t2 ON t1.team_code = t2.team_code AND t1.id != t2.id
If you want to make sure each pair only appears once, you could add a condition to always take the lower id on the left:
SELECT t1.id, t2.id, SUM(t1.times_together)
FROM mytable t1
JOIN mytable t2 ON t1.team_code = t2.team_code AND t1.id < t2.id
I would suggest this self-joining SQL which takes all possible ID pairs (but only where the first is smaller than the second), and uses a CASE to sum the times_together when the persons played in the same team:
select t1.id,
t2.id,
sum(case when t1.Team_Code = t2.Team_Code
then t1.times_together
else 0
end) times_together
from t as t1
inner join t as t2
on t1.id < t2.id
group by t1.id, t2.id
order by 1, 2
Output in the example case is:
| id | id | times_together |
|------|------|----------------|
| 1028 | 1110 | 0 |
| 1028 | 2220 | 0 |
| 1028 | 8888 | 0 |
| 1110 | 2220 | 1 |
| 1110 | 8888 | 1 |
| 2220 | 8888 | 6 |