Title was tough to choose my wording.
I have 2 tables I want to join together via a lg_code. Both columns are VARCHAR2(4 byte). I am running into an issue where table1 lg_code = 0003 and table2 lg_code = 3. The three 0's are causing an issue with the join and not returning all the data needed. How would I go about writing the join clause to fix this issue?
Code:
select * from table1 t1 JOIN table2 t2 ON t1.LG_CODE = t2.LG_CODE
I would suggest to convert the value of the columnlg_code to number first then make the join:
SELECT * FROM table1 t1
JOIN table2 t2 ON to_number(t1.LG_CODE) = to_number(t2.LG_CODE)
you can also use ltrim() on them:
SELECT * FROM table1 t1
JOIN table2 t2 ON LTRIM(t1.LG_CODE, '0') = LTRIM(t2.LG_CODE, '0');
but in newer versions of oracle SQL*PLUS it trims automatically.
Related
Select * from table1 t1 left outer join table2 t2 on t1.id=t2.id and
case
when t1.id in (select t2.id from table2)
then t1.valid_to_ts > sysdate and t2.valid_to_ts>sysdate
else
t1.valid_to_ts>sysdate.
getting error-
ORA-00905: missing keyword
You can use UNIONs to implement the logic of the case:
SELECT *
FROM table1 t1 LEFT JOIN table2 t2 ON t1.id = t2.id
WHERE t2.id IS NULL
AND t1.valid_to_ts > SYSDATE
UNION ALL
SELECT *
FROM table1 t1 LEFT JOIN table2 t2 ON t1.id = t2.id
WHERE t1.id IS NOT NULL
AND t1.valid_to_ts > SYSDATE
AND t2.valid_to_ts > SYSDATE;
As Álvaro González said in a comment, you can't use a case expression as a flow control operator. You can use a case expression in a where or on clause, but only by making it generate a value which you then compare with something else, which can be awkward, so it's usually better not to. You can usually replace the logic you're trying to implement with simple Boolean logic.
In this case you're already joining to table2 so your subquery isn't needed; you can use a where clause to see if a matching record was found - preferably checking for a not-null column other than ID, so this example will only work if valid_to_ts is not nullable:
select * from table1 t1
left outer join table2 t2
on t1.id = t2.id
where t1.valid_to_ts > sysdate
and (t2.valid_to_ts is null or t2.valid_to_ts > sysdate)
If t2.valid_to_ts is nullable then you should use a different not-nullable column instead; unless you want to include values with no valid-to date - but you aren't doing that for t1.valid_to_ts.
If you try to check that in the on clause then you won't filter out IDs which do exist in table2 but with an earlier date.
db<>fiddle, including an on-clause version which gets the wrong result (as far as I can tell from your starting query anyway).
For the demo I've assumed that the _ts columns are dates, since you're comparing with sysdate; if they are actually timestamps (as the suffix might suggest) then you could compare with systimestamp instead.
I need to insert records into a table t1 from another table t2 such that insert only the records that are not in t2.
But when i use this query
insert into table t1 select * from t2 where id not in (select id from t1);
But I get error as
Correlating expression cannot contain qualified column reference.
Can anybody suggest me a query to do this.
t2.id
Yet another ridiculous hive limitation
insert into table t1 select * from t2 where t2.id not in (select id from t1);
You can also use below command :-
insert into table t1 select t2.* from t2 left join t1 on t2.id=t1.id where t1.id is NULL;
I have a need to do the following
UPDATE TABLE2 t2
SET t2.product_id = (select t1.product_id from
table1 t1 where t1.matching_id = t2.matching_id)
Except that TABLE2 has 27 million records. The product_id is a newly added column and hence populating data to it.
I could use a cursor , break down my record set in TABLE2 to a reasonably smaller number, But with 27 million records, I am not sure whats the best way.
Pl suggest, even if it means exporting my data to excel.
Update - THe matching columns are indexed too.
The only thing I could do different is replace the update for a CREATE TABLE AS
CREATE TABLE table2_new AS
SELECT t2.* (less product_id), t1.product_id
FROM table1 t1
JOIN table2 t2
ON t1.matching_id = t2.matching_id
But later you will have to add the CONSTRAINTS manually, delete table2 and replace for table2_new
update (select t1.product_id as old_product_id, t2.product_id as new_product_id
from table1 t1
join table2 t2 on (t1.matching_id = t2.matching_id)) t
set t.new_product_id = t.old_product_id
I need to make a conversion from Oracle SQL to PostgreSQL.
select * from table1 inner join table2 on table1.id = table2.table1Id
where table1.col1 = 'TEST'
and rownum <=5
order by table2.col1
If I delete and rownum <=5 and put at the end limit 5, there are differences between the 2 dialects. In Oracle, first are selected the 5 elements, and after that, they are sorted by table2.col1 . In Postgres, first all the list is sorted, and AFTER there are selected the first 5 elements.
How can I obtain the same result in Postgres as in Oracle?
Thanks!
To get the behavior you desire, you can use a subquery like this:
SELECT * FROM (
SELECT table1.col1 as t1col1, table2.col1 as t2col1
FROM table1 INNER JOIN table2 ON table1.id = table2.table1Id
WHERE table1.col1 = 'TEST'
LIMIT 5
) AS sub
ORDER BY t2col1;
I named the columns there because in your example both tables had a col1.
Note however that without any ordering on the inner query, the selection of 5 rows you get will be purely random and subject to change.
Depending on the version you are using, PostgreSQL 8.4 and above have Window functions. Window function ROW_NUMBER() is capable of implementing the functionality of Oracle pseudo column rownum.
select row_number() over() as rownum,* from table1 inner join table2 on table1.id = table2.table1Id where table1.col1 = 'TEST' and rownum <=5 order by table2.col1;
I have two tables as: table1 with fields c1 and dt(nullable); table2 with fields start_dt, end_dt and wk_id. Now I need to perform left outer join between the table1 and table2 to take wk_id such that dt falls between start_dt and end_dt. I applied following condition but some wk_id which shouldn't be NULL are pulled NULL and some rows get repeated.
where nvl(t1.dt,'x') between nvl(t2.start_dt(+), 'x') and nvl(t2.end_dt(+), 'x');
What is wrong with the condition?
select *
from table1 t1
left join table2 t2
on t1.dt between t2.start_dt and t2.end_dt
I recommend you try the new ANSI join syntax.
Also, are you just using 'x' as an example? Or are the dt columns really stored as strings?
It seems you are missing the part "table1 left outer join table2 on table1.some_field = table2.some_field"
Something like this:
select t1.c1, t1.dt, t2.start_dt, t2.end_dt, t2.wk_id
from table1 t1 left outer join table2 t2
on t1.some_field1 = t2.some_field1
where nvl(t1.dt,'x')
between nvl(t2.start_dt, 'x') and
nvl(t2.end_dt, 'x')