I want to achieve below SQL query in ODI 12C Mappings , i am mainly looking for the help to implement the subquery in select statement . Please help with reference , your help would be appreciated !
select column1 ,
column2 ,
(select column1 from tab1 a where a.column1 =M.column1 ) column3,
column4 from
TableM M join TableN N
where M.eno = N.eno ;
Related
I have a multi million table , lets say table1 ,I created another table table2 using the statement :
Create table table2 as select column1, column2 from table1 order by column1 column2;
Is there any surety that when fetching datas from table2 , it is fetched in the sane order it was inserted?
For example :
SELECT column1,column2 from table2 limit 100000 offset 2000000;
should have the same result as
SELECT column1, column2 from table1 order by column1,column2 limit 100000 offset 2000000;
Is there any documentation from which i can confirm this?
Iam using both oracle as well as postgres.
I have a Postgresql table where I have 2 fields i.e. ID and Name ie column1 and column2 in the SQLFiddle. The default record_count I put for a particular ID is 1. I want to get the record_count for column 1 and sum that record_count by column1.
I tried to use this query but somehow its showing some error.
select sum(column_record) group by column_record ,
* from (select column1,1::int4 as column_record from test) a
Also find the Input/Output screenshot in the form of excel below :
SQL Fiddle for the same :
http://sqlfiddle.com/#!15/12fe9/1
If you're using a window function (you may want to use normal grouping, which is "a lot" more faster and performant), this is the way to do it:
-- create temp table test as (select * from (values ('a', 'b'), ('c', 'd')) a(column1, column2));
select sum(column_record) over (partition by column_record),
* from (select column1, 1::int4 as column_record from test) a;
I am developing a T-SQL query in SSMS 2008 R2 which returns one line only. But the problem is that in this one line there are four fields which I instead want to be unique rows. For example, my output line looks like:
Col. 1 Col. 2 Col. 3 Col. 4
xxxx yyyy zzzz aaaa
Instead, I want this to look like:
Question Answer
Col. 1 xxxx
Col. 2 yyyy
Col. 3 zzzz
Col. 4 aaaa
I have tried using the UNPIVOT operator for this, but it is not doing the above. How can I achieve this?
You should be able to use UNPIVOT for this:
Here is a static pivot where you hard code in the values of the columns:
create table t1
(
col1 varchar(5),
col2 varchar(5),
col3 varchar(5),
col4 varchar(5)
)
insert into t1 values ('xxxx', 'yyyy', 'zzzz', 'aaaa')
select question, answer
FROM t1
unpivot
(
answer
for question in (col1, col2, col3, col4)
) u
drop table t1
Here is a SQL Fiddle with a demo.
but you can also use a Dynamic Unpivot:
DECLARE #cols AS NVARCHAR(MAX),
#query AS NVARCHAR(MAX);
select #cols = stuff((select ','+quotename(C.name)
from sys.columns as C
where C.object_id = object_id('t1') and
C.name like 'Col%'
for xml path('')), 1, 1, '')
set #query = 'SELECT question, answer
from t1
unpivot
(
answer
for question in (' + #cols + ')
) p '
execute(#query)
This is from my data names but it is tested
select 'sID', sID as 'val'
from [CSdemo01].[dbo].[docSVsys]
where sID = 247
union
select 'sParID', sParID as 'val'
from [CSdemo01].[dbo].[docSVsys]
where sID = 247 ;
But UNPIVOT should work
UNION-ing together your four questions would look like:
SELECT 'column1' AS Question, MAX(column1) AS Answer UNION
SELECT 'column2' , MAX(column2) UNION
SELECT 'column3' , MAX(column3) UNION
SELECT 'column4' , MAX(column4)
(obv just using the MAX as an example)
I found this solution on the SQL Server forum on how to reorder records in a table.
UPDATE SomeTable
SET rankcol = SubQuery.Sort_Order
FROM
(
SELECT IDCol, Row_Number() OVER (ORDER BY ValueCOL) as SORT_ORDER
FROM SomeTable
) SubQuery
INNER JOIN SomeTable ON
SubQuery.IDCol = SomeTable.IDCol
When I try doing the same on PostgreSQL, I get an error message -
ERROR: table name "sometable" specified more than once
Any help will be appreciated.
Thanks!
You don`t need to explicitly join SomeTable, how cool is that? :)
UPDATE SomeTable
SET rankcol = SubQuery.Sort_Order
FROM
(
SELECT IDCol, Row_Number() OVER (ORDER BY ValueCOL) as SORT_ORDER
FROM SomeTable
) SubQuery
where SubQuery.IDCol = SomeTable.IDCol
remark: Postgres is case insensitive, better use lower-case, like row_number, sort_order, id_col , etc.
My SQL is rusty -- I have a simple requirement to calculate the sum of the greater of two column values:
CREATE TABLE [dbo].[Test]
(
column1 int NOT NULL,
column2 int NOT NULL
);
insert into Test (column1, column2) values (2,3)
insert into Test (column1, column2) values (6,3)
insert into Test (column1, column2) values (4,6)
insert into Test (column1, column2) values (9,1)
insert into Test (column1, column2) values (5,8)
In the absence of the GREATEST function in SQL Server, I can get the larger of the two columns with this:
select column1, column2, (select max(c)
from (select column1 as c
union all
select column2) as cs) Greatest
from test
And I was hoping that I could simply sum them thus:
select sum((select max(c)
from (select column1 as c
union all
select column2) as cs))
from test
But no dice:
Msg 130, Level 15, State 1, Line 7
Cannot perform an aggregate function on an expression containing an aggregate or a subquery.
Is this possible in T-SQL without resorting to a procedure/temp table?
UPDATE: Eran, thanks - I used this approach. My final expression is a little more complicated, however, and I'm wondering about performance in this case:
SUM(CASE WHEN ABS(column1 * column2) > ABS(column3 * column4)
THEN column5 * ABS(column1 * column2) * column6
ELSE column5 * ABS(column3 * column4) * column6 END)
Try this:
SELECT SUM(CASE WHEN column1 > column2
THEN column1
ELSE column2 END)
FROM test
Try this... Its not the best performing option, but should work.
SELECT
'LargerValue' = CASE
WHEN SUM(c1) >= SUM(c2) THEN SUM(c1)
ELSE SUM(c2)
END
FROM Test
SELECT
SUM(MaximumValue)
FROM (
SELECT
CASE WHEN column1 > column2
THEN
column1
ELSE
column2
END AS MaximumValue
FROM
Test
) A
FYI, the more complicated case should be fine, so long as all of those columns are part of the same table. It's still looking up the same number of rows, so performance should be very similar to the simpler case (as SQL Server performance is usually IO bound).
How to find max from single row data
-- eg (empid , data1,data2,data3 )
select emplid , max(tmp.a)
from
(select emplid,date1 from table
union
select emplid,date2 from table
union
select emplid,date3 from table
) tmp , table
where tmp.emplid = table.emplid
select sum(id) from (
select (select max(c)
from (select column1 as c
union all
select column2) as cs) id
from test
)
The best answer to this is simply put :
;With Greatest_CTE As
(
Select ( Select Max(ValueField) From ( Values (column1), (column2) ) ValueTable(ValueField) ) Greatest
From Test
)
Select Sum(Greatest)
From Greatest_CTE
It scales a lot better than the other answers with more than two value columns.