For example
select *
from t1
inner join (select * from t2 where t2.id not in (select ID from t2 where city="Paris"))
I tried searching Google. There a lot of examples but none of them uses not in. Plus there are no restrictions specified for an in line view.
Oracle calls subqueries in the FROM clause "inline views".
These are generic SELECT queries. They can contain NOT IN with subqueries. The problem with your query is a lack of ON clause and the use of double quotes for a string constant:
select *
from t1 inner join
(select *
from t2
where t2.id not in (select ID from t2 where city = 'Paris')
---------------------------------------------------------^ single quotes
) t2
on t1.? = t2.?
-----^ on clause
Note: I would discourage you from using NOT IN with subqueries, because they do not work as expected if any returned values are NULL. (If that is the case, then no rows are returned.)
I advise using NOT EXISTS instead.
I have a problem with running a Spark SQL query which uses a nested select with a "where in" clause. In the query below table1 represents a temporary table which comes from a more complicated query. In the end I want to substitute table1 with this query.
select * from (select * from table1) as table2
where (product, price)
in (select product, min(price) from table2 group by product)
The Spark error I get says:
AnalysisException: 'Table or view not found: table2;
How could I possibly change the query to make it work as intended?
subquery (i.e. (select * from table1) as table2 ) is not needed & it is limited to immediate use after subquery defined you can't use with in or where clause, you can use correlated subquery instead :
select t1.*
from table1 t1
where t1.price = (select min(t2.price) from table1 t2 where t2.product = t1.product);
Here is my query:
SELECT
t2.*
FROM
(
SELECT
FullName
FROM
pr
GROUP BY
FullName
HAVING
COUNT(*)>=2
) T1
JOIN
pr T2 ON T1.FullName = T2.FullName;
I used this answer to build this: SQL Return only duplicate rows.
Although they didn't specify which DBMS they were using, I can assume it was not MS Access since it ran properly for them and not me.
Whenever I try to save this query, it says:
Syntax error in FROM clause
Not sure where this is wrong. I know that access requires some weird brackets during joins but the problem is apparently with one of the FROM statements. Any ideas here?
I would expect an MS Access query to look like this:
SELECT t2.*
FROM (SELECT FullName
FROM pr
GROUP BY FullName
HAVING COUNT(*) >= 2
) AS T1 INNER JOIN
pr as T2
ON T1.FullName = T2.FullName;
Note the ass and INNER.
I am working on an SSIS job that contains a complex query.
It has some thing like :
some sql statements
left outer join
(
select query joining two more tables )
table1
here, i am unable to understand what that table1 mean ? Is it a kind of temporary view
created . This table1 is used in the other parts of query . But, actually the table1 does
exists in the database.
Is it like , the results of the select query in the parenthesis is created as table1
Please clarify me on this..
I am not able to put down my code because of Security Policies
Here is SQL Fiddel example
Below is the sample query
Select Temp1.id,Table1.id Table1_id
from Temp1
left Outer join
(
Select Temp2.id
from Temp2
join Temp3
On Temp2.id = Temp3.id
) Table1
on Temp1.id = Table1.Id
In above example table1 is the Alias for data coming from joinsof two tables (temp2 and temp3)
table1 is an alisas your subquery. It's the name of subquery you can use with columns for example table1.col1
It is an alias for the query in the parenthesis.
If you would remove that you would get an error.
Aliases are also good when you have the same column in more than on joined tables, so you can distinquish them.
For instance if colX is both in Table1 and Table2 you would have a query like:
SELECT T1.colX,T2.colX
FROM Table1 T1
JOIN Table2 T2
ON T1.id = T2.id
I have to execute a SQL made from some users and show its results. An example SQL could be this:
SELECT t1.*, t2.* FROM table1 t1, table2 t2, where table1.id = table2.id
This SQL works fine as it is, but I need to manually add pagination and show the rownum, so the SQL ends up like this.
SELECT z.*
FROM(
SELECT y.*, ROWNUM rn
FROM (
SELECT t1.*, t2.* FROM table1 t1, table2 t2, where table1.id = table2.id
) y
WHERE ROWNUM <= 50) z
WHERE rn > 0
This throws an exception: "ORA-00918: column ambiguously defined" because both Table1 and Table2 contains a field with the same name ("id").
What could be the best way to avoid this?
Regards.
UPDATE
In the end, we had to go for the ugly way and parse each SQL coming before executing them. Basically, we resolved asterisks to discover what fields we needed to add, and alias every field with an unique id. This introduced a performance penalty but our client understood it was the only option given the requirements.
I will mark Lex answer as it´s the solution we ended up working on.
I think you have to specify aliasses for (at least one of) table1.id and table2.id. And possibly for any other corresponding columnnames as well.
So instead of SELECT t1.*, t2.* FROM table1 t1, table2 use something like:
SELECT t1.id t1id, t2.id t2id [rest of columns] FROM table1 t1, table2 t2
I'm not familiar with Oracle syntax, but I think you'll get the idea.
I was searching for an answer to something similar. I was referencing an aliased sub-query that had a couple of NULL columns. I had to alias the NULL columns because I had more than one;
select a.*, t2.column, t2.column, t2.column
(select t1.column, t1.column, NULL, NULL, t1.column from t1
where t1='VALUE') a
left outer join t2 on t2.column=t1.column;
Once i aliased the NULL columns in the sub-query it worked fine.
If you could modify the query syntactically (or get the users to do so) to use explicit JOIN syntax with the USING clause, this would automatically fix the problem at hand:
SELECT t1.*, t2.*
FROM table1 t1
JOIN table2 t2 USING (id)
The USING clause does the same as ON t1.id = t2.id (or the implicit JOIN you have in the question), except that only one id column remains in the result, thereby eliminating your problem.
You would still run into problems if there are more columns with identical names that are not included in the USING clause. Aliases as described by #Lex are indispensable then.
Use replace null values function to fix this.
SELECT z.*
FROM(
SELECT y.*, ROWNUM rn
FROM (
SELECT t1.*, t2.* FROM table1 t1, table2 t2, where
NVL(table1.id,0) = NVL(table2.id,0)
) y
WHERE ROWNUM <= 50) z
WHERE rn > 0