I need to compare data of the same table who do this.
At example, compare A,10 with B,10 when 10 is a repeat value.
You can do this using the cross-product operator, in SQL this would be done as
SELECT T1.colA, T2.colA, (T1.colA < T2.colA) as colA_comp
FROM TableName T1, TableName T2
WHERE T1.colB = T2.colB
What this does is take the cross-product of the table TableName with itself (renamed as T1 and T2), and the WHERE clause filters out those records that agree on colB (the repeated value 10, in your example).
If you compare with the same table then you may use left Join
SELECT t1.cola,t1.colb,t2.cola,...
from tableA t1
LEFT JOIN tableA t2 on t2.cola = t1.cola
WHERE t1.cola = 10
I hope it might be work!
Related
select m.value
from MY_TABLE m
where m.value in (select m2.some_third_value, m2.some_fourth_value
from MY_TABLE_2 m2
where m2.first_val member of v_my_array
or m2.second_val member of v_my_array_2)
Is it possible to write a select similar to this, where m.value is compared to two columns and has to match at least one of those? Something like where m.value in (select m2.first_val, m2.second_val). Or is writing two separate selects unavoidable here?
No. When there are multiple columns in the IN clause, there must be the same number of columns in the WHERE clause. The pairwise query compares each record in the WHERE clause against the records returned by the sub-query. The statement below
SELECT *
FROM table_main m
WHERE ( m.col_1, m.col_2 ) IN (SELECT s.col_a,
s.col_b
FROM table_sub s)
is equivalent to
SELECT *
FROM table_main m
WHERE EXISTS (SELECT 1
FROM table_sub s
WHERE m.col_1 = s.col_a
AND m.col_2 = s.col_b)
The only way to search both columns in one SELECT statement would be to OUTER JOIN the second table to the first table.
SELECT m.*
FROM table_main m
LEFT JOIN table_sub s ON (m.col_1 = s.col_a OR m.col_1 = s.col_b)
WHERE m.col_1 = s.col_a
OR m.col_1 = s.col_b
Here's a sample of what I'm trying to do:
select
t1.Field1
t1.Field2
from Table1 t1
inner join Table2 t2 on t2.Field1 = t1.Field1
where
t1.Field3 like '123-%'
and t1.CreateDate >= '01/01/2021'
having
Count(t2.Field4 = 419) >= 1
2 tables
Table 1 has unique records with an ID (Field 1)
Table 2 has multiple records, with ID Field 1 as well. Table2 may have 10, 20, etc records for Field1. I'm wanting to pull Table1 records where Table2 as at least 1 occurrence of Field4 = 419. Table2 may not have any Field4=419, it may have 1, or it may have 2 or more.
Pretty straight forward I think, but unfortunately I'm new to SQL writing which I why I'm posting for help as I've tried several ways to get this to work without any luck.
Normally you use having when you have a group by in your query.
There will be multiple ways of writing what you want, but one way that I think is easy to understand is selecting from Table1 and doing the count of Table2 in a subquery of the where clause. Depending on the size of your tables and the indexing, you might want to explore other options, but I think this is at least a good starting point that does what you want.
select
t1.Field1
t1.Field2
from Table1 t1
where
t1.Field3 like '123-%'
and t1.CreateDate >= '01/01/2021'
and (SELECT count(*) FROM Table2 t2 WHERE t2.Field1 = t1.Field1 AND t2.Field4 = 419) >= 1
how can i update a table column from another table. here is my code :
update table1 hn
set hn.changeColumn=es.changeColumn
from table1 hn
inner join table2 es on es.x=hn.xand es.rol_id=hn.rol_id
where hn.x= es.x and hn.rol_id = es.rol_id
i wanna set table1's column(changeColumn) values with table2's column(changeColumn) values
how can i do this. thanks
If you want to convert this query to Oracle, You need a MERGE INTO statement -
MREGE INTO table1 hn
USING table2 es
ON (es.x=hn.x and es.rol_id=hn.rol_id)
WHEN MATCHED THEN
UPDATE
SET hn.changeColumn=es.changeColumn
One valid way to write this query on Oracle would be:
UPDATE table1 t1
SET changeColumn = (SELECT t2.changeColumn
FROM table2 t2
WHERE t1.x = t2.x AND t1.rol_id = t2.rol_id);
This assumes that your join condition would only generate at most a single pair of mstching records from the self join. If not, then we would have to modify the logic.
I'm trying to get the result into a variable (is it possible to do it as a %rowtype of an existing table? probably not because of conflicting columns) where it would display me all the values where the two refs overlap and the i_ref(which is inputted ) also overlaps with the ref from t1.
select *
into aRow
from table1 t1
where t1.ref = i_ref
and (select * from table2 t2 where t1.ref = t2.ref);
What am I doing wrong with my select?
You can join tables instead of nested subquery:
select t1.*
into aRow
from table1 t1 join table2 t2 on t1.ref = t2.ref
where t1.ref = i_ref
.The involved tables:
data_incidencia.
data_ticket.
My query is the following
select t1.hurtos, t2.fallas,t3.ticket, t1.fecha_carga
from
(select count(ttc) as hurtos,
fecha_carga from data_incidencia
where campo_key_id = 2
group by fecha_carga) t1,
(select count(ttc) as fallas,
fecha_carga from data_incidencia
where campo_key_id = 1
group by fecha_carga) t2,
(select count(ticket) as ticket,
fecha_solicitud as fecha_carga from data_ticket ) t3
where t1.fecha_carga =t2.fecha_carga;
and the output:
but the desired output is:
notice that "ticket" is repeating value in 2018-05-16 where is no tickets, is probably something dumb as case when or group by, but I can't figure it out.
Any ideas of how should i fix this query ?
You have three subqueries, t1, t2, and t3.
t1 and t2 are joined, but t3 is not, so you get an implicit cross join.
The column names you're using look as if you want to join all three on the same column:
SELECT t1.hurtos, t2.fallas, t3.ticket, t1.fecha_carga
FROM (...) AS t1,
(...) AS t2,
(...) AS t3
WHERE t1.fecha_carga = t2.fecha_carga
AND t1.fecha_carga = t3.fecha_carga;
And implicit joins are outdated since 1992; better use explicit joins:
SELECT t1.hurtos, t2.fallas, t3.ticket, fecha_carga
FROM (...) AS t1
JOIN (...) AS t2 USING (fecha_carga)
JOIN (...) AS t3 USING (fecha_carga);