I have data like this
MAPPING table1:
ID1 NAME1
-----------
001 1
002 2
DATA table:
TID_1 TNAME_1
------------------
1 ABCNAME
2 DEFNAME
Another MAPPING table2:
ID2 NAME2
--------------
001 1
002 2
DATA table:
TC_ID2 TC_NAME2
-----------------
1 C_NAME
2 D_NAME
Here mapping tables are in database2 and data table are in databaes1
now I have another dimension_location table in database2 like this
ID1 NAME1 ID2 NAME2
-------------------------
I want to insert into this table like this
ID1 NAME1 ID2 NAME2
--------------------------------
001 ABCNAME 001001 C_NAME
002 DEFNAME 002002 D_NAME
Means I want to select name from database1 data table and for id I want to select from mapping table here in "ID2" column 001001 because 001 is for ID1 and another 001 is for ID2 so i combine those id and insert in id2 column how can I do this?
insert into Dimension_location(ID1,Name1,ID2, Name2)
select dm.ID1,dv.TNAME_1,dmp.ID2,ds.TC_NAME2from
ba.dbo.Mappingtable1 dm ,
ba.dbo.Mappingtable2 dmp
inner join Cen.dbo.datatable1 dv on dm.ID1=dv.TID_1
inner join Cen.dbo.datatable2 ds on ds.ID2=dmp.TC_ID2
now how i combine id1 code with id2 code?
Any solution?
You need to use Fully Qualified Names in order to write your query. For example:
database_name.schema_name.object_name.column_name
It will be something like this:
SELECT *
FROM [database1].[dbo].[MAPPING TABLE] A
INNER JOIN [database2].[dbo].[DATA TABLE1] B
ON A.[] = B.[]
...
Related
Can someone please help me how to exclude not null and include only null values for two different tables with same columns names?
TableA TableB
Sub_id Track_no Active_date Sub_id Track_no Active_date
------- -------- ----------- ------- -------- -----------
001 123 null 001 124 01/02/2013
001 124 null
001 125 null
Here I need to get the records Track_no where active_date is null and sub_id = 001, I must join two table because Active_date is available in tableB only.
I hope i got you right
select * from tableA a
inner join tableB b
on a.sub_id = b.sub_id
and a.track_no = b.track_no
and a.active_date is null
The following query shows the tableA data, but active_date is taken from tableB in case it is null in tableA.
select sub_id,
track_no,
coalesce(a.active_date,b.active_date) active_date,
a.active_date active_date_from_a,
b.active_date active_date_from_b
from tableA a
left join tableB b
on a.sub_id = b.sub_id
I am trying to write a function to check between two tables which have a common column with the same name and ID values.
Table 1: CompanyRecords
CompanyRecordsID CompanyId CompanyName CompanyProcessID
-----------------------------------------------------------
1 222 Sears 123
2 333 JCPenny 456
Table 2: JointCompanies
JointCompaniesID CompanyId CompanyName ComanyProcessID
-----------------------------------------------------------
3 222 KMart 123
4 444 Walmart 001
They both use the same foreign key CompanyProcessID with value 123.
How do I write a select statement when it is passed the CompanyProcessID to tell if the CompanyId has changed for the same CompanyProcessId.
I assume it is a join between the two tables with WHERE CompanyProcessID
Thanks for any help.
Is this what you want?
select max(case when cr.name = jc.name then 0 else 1 end) as name_not_same
from CompanyRecords cr join
JointCompanies jc
on cr.ComanyProcessID = jc.ComanyProcessID
where cr.ComanyProcessID = ?
I have three tables:
Table 1: | dbo.pc_a21a22 |
batchNbr Other columns...
-------- ----------------
12345
12346
12347
Table 2: | dbo.outcome |
passageId record
---------- ---------
00003 200
00003 9
00004 7
Table 3: | dbo.passage |
passageId passageTime batchNbr
---------- ------------- ---------
00001 2015.01.01 12345
00002 2016.01.01 12345
00003 2017.01.01 12345
00004 2018.01.01 12346
What I want to do: for each batchNbr in Table 1 get first its latest passageTime and the corresponding passageID from Table 3. With that passageID, get the relevant rows in Table 2 and establish whether any of these rows contains the record 200. Per passageId there are at most 2 records in Table 2
What is the most efficient way to do this?
I have already created a query that works, but it's awfully slow and thus unfit for tables with millions of rows. Any suggestion on how to either change the query or do it another way? Altering the table structure is not an option, I only have read rights to the database.
My current solution (slow):
SELECT TOP 50000
a.batchNbr,
CAST ( CASE WHEN 200 in (SELECT TOP 2 record FROM dbo.outcome where passageId in (
SELECT SubqueryResults.passageId From (SELECT Top 1 passageId FROM dbo.passage pass WHERE pass.batchNbr = a.batchNbr ORDER BY passageTime Desc) SubqueryResults
)
) then 1 else 0 end as bit) as KGT_IO_END
FROM dbo.pc_a21a22 a
The desired output is:
batchNbr 200present
--------- ----------
12345 1
12346 0
I suggest you use table joining rather than subqueries.
select
a.*, b.*
from
dbo.table1 a
join
dbo.table2 b on a.id = b.id
where
/*your where clause for filtering*/
EDIT:
You could use this as a reference Join vs. sub-query
Try this
SELECT TOP 50000 a.*, (CASE WHEN b.record = 200 THEN 1 ELSE 0 END) AS
KGT_IO_END
FROM dbo.Test1 AS a
LEFT OUTER JOIN
(SELECT record, p.batchNbr
FROM dbo.Test2 AS o
LEFT OUTER JOIN (SELECT MAX(passageId) AS passageId, batchNbr FROM
dbo.Test3 GROUP BY batchNbr) AS p ON o.passageId = p.passageId
) AS b ON a.batchNbr = b.batchNbr;
The MAX subquery is to get the latest passageId by batchNbr.
However, your example won't get the record 200, since the passageId of the record with 200 is 00001, while the latest passageId of the batchNbr 12345 is 00003.
I used LEFT OUTER JOIN since the passageId from Table2 no longer match any of the latest passageId from Table3. The resulting subquery would have no records to join to Table1. Therefore INNER JOIN would not show any records from your example data.
Output from your example data:
batchNbr KGT_IO_END
12345 0
12346 0
12347 0
Output if we change the passageId of record 200 to 00003 (the latest for 12345)
batchNbr KGT_IO_END
12345 1
12346 0
12347 0
I have to just insert the value from one table into another but the condition is that out of same id I have to select that one having maximum date and then insert into another. like :
table 1
a | b
1 | 12/1/13
1 | 18/1/13
2 | 2/4/13
2 | 9/8/13
table 2
a | b
1 | 18/1/13
2 | 9/8/13
please suggest the SQL query for it
Could you try :
INSERT INTO Table2 (idcolumn, datecolumn)
SELECT DISTINCT idcolumn, datecolumn
FROM Table1
GROUP BY idcolumn
ORDER BY datecolumn DESC
INSERT INTO table2(a,b)
SELECT a, MAX(b) AS b
FROM table1
GROUP BY a;
I've searched high and low for an answer to this so apologies if it's already answered!
I have the following result from a query in SQL 2005:
ID
1234
1235
1236
1267
1278
What I want is
column1|column2|column3|column4|column5
---------------------------------------
1234 |1235 |1236 |1267 |1278
I can't quite get my head around the pivot operator but this looks like it's going to be involved. I can work with there being only 5 rows for now but a bonus would be for it to be dynamic, i.e. can scale to x rows.
EDIT:
What I'm ultimately after is assigning the values of each resulting column to variables, e.g.
DECLARE #id1 int, #id2 int, #id3 int, #id4 int, #id5 int
SELECT #id1 = column1, #id2 = column2, #id3 = column3, #id4 = column4,
#id5 = column5 FROM [transposed_table]
You also need a value field in your query for each id to aggregate on. Then you can do something like this
select [1234], [1235]
from
(
-- replace code below with your query, e.g. select id, value from table
select
id = 1234,
value = 1
union
select
id = 1235,
value = 2
) a
pivot
(
avg(value) for id in ([1234], [1235])
) as pvt
I think you'll find the answer in this answer to a slightly different question: Generate "scatter plot" result of members against sets from SQL query
The answer uses Dynamic SQL. Check out the last link in mellamokb's answer: http://www.sqlfiddle.com/#!3/c136d/14 where he creates column names from row data.
In case you have a grouped flat data structure that you want to group transpose, like such:
GRP | ID
---------------
1 | 1234
1 | 1235
1 | 1236
1 | 1267
1 | 1278
2 | 1234
2 | 1235
2 | 1267
2 | 1289
And you want its group transposition to appear like:
GRP | Column 1 | Column 2 | Column 3 | Column 4 | Column 5
-------------------------------------------------------------
1 | 1234 | 1235 | 1236 | 1267 | 1278
2 | 1234 | 1235 | NULL | 1267 | NULL
You can accomplish it with a query like this:
SELECT
Column1.ID As column1,
Column2.ID AS column2,
Column3.ID AS column3,
Column4.ID AS column4,
Column5.ID AS column5
FROM
(SELECT GRP, ID FROM FlatTable WHERE ID = 1234) AS Column1
LEFT OUTER JOIN
(SELECT GRP, ID FROM FlatTable WHERE ID = 1235) AS Column2
ON Column1.GRP = Column2.GRP
LEFT OUTER JOIN
(SELECT GRP, ID FROM FlatTable WHERE ID = 1236) AS Column3
ON Column1.GRP = Column3.GRP
LEFT OUTER JOIN
(SELECT GRP, ID FROM FlatTable WHERE ID = 1267) AS Column4
ON Column1.GRP = Column4.GRP
LEFT OUTER JOIN
(SELECT GRP, ID FROM FlatTable WHERE ID = 1278) AS Column5
ON Column1.GRP = Column5.GRP
(1) This assumes you know ahead of time which columns you will want — notice that I intentionally left out ID = 1289 from this example
(2) This basically uses a bunch of left outer joins to append 1 column at a time, thus creating the transposition. The left outer joins (rather than inner joins) allow for some columns to be null if they don't have corresponding values from the flat table, without affecting any subsequent columns.