I have 2 tables, "table1" have 1 column to store "table2" column name. Table1 data as below:
ID | Desc | Table2ColName | Active
-------------------------------------
1 | 1 Day | D1 | Yes
2 | 2 Days | D2 | No
3 | 3 Days | D3 | Yes
Table2 data as below:
ID | ShopName | D1 | D2 | D3
----------------------------------
1 | Sp1 | 100 | 80 | 120
Then I want to join 2 table and just display the Active data, How do I using linq to query the result as below:
ID | ShopName | D1 | D3
---------------------------
1 | Sp1 | 100 | 120
I have try whole day but get noting, hope can help. Thanks
I assume you already got the answer you needed for this, but I figured id post it anyway. Your query should look something like this.
var results = from a in data.table1
join b in data.table2
on a.ID equals b.ID
where a.Active =='Yes'
select new
{
a.ID,
b.ShopName,
b.D1,
b.D2
};
Related
I have 2 tables in different databases in SQL Server.
database1.table_A
id | name | present |
-----|------------|-----------|
1 | jon | 1 |
2 | ham | 0 |
3 | sam | 1 |
7 | tom | 1 |
database2.table_B
absentid |
----------|
1 |
5 |
7 |
For every id value present in table_B, I want the value of present in table_A to be 0. So, my final result should look like -
id | name | present |
-----|------------|-----------|
1 | jon | 0 |
2 | ham | 0 |
3 | sam | 1 |
7 | tom | 0 |
I want to confirm if the following query I wrote is correct or if there are any better ways to do this:
update database1.table_A
set present=0
FROM database1.table_A t1
inner join
database2.table_B t2
ON t1.id = t2.absentid;
If you want to set present = 1 if they are not in the table, then you would use left join:
update t1
set present = (case when t2.absentid is null then 1 else 0 end)
from database1.table_A t1 left join
database2.table_B t2
on t1.id = t2.absentid;
Otherwise, if you want to keep the value in that case, your version is fine.
I have two tables filled with two files of which table1 always has one row more than the second.
I want to merge the two tables into one. When I use a right join e.g.
select *
from table2
right join table1 on table1.id = table2.id and table1.eq_nb = table2.eq_nb
I will have the 4 combinations for eq_nb = 25 because it is repeated two times.
But I rather want to stick the columns side by side
To know, I don't have conditions on arrival and depart time of each eq_nb (I can't add something like datediff(second,table1.arrival_time,table2.depart_time) < X )
table1:
id | eq_nb | arival_time
-------------------------------------
1 | 25 | 05:30:15.231
-------------------------------------
2 | 50 | 06:30:15.231
-------------------------------------
3 | 7 | 07:30:15.231
-------------------------------------
1 | 25 | 08:30:15.231
-------------------------------------
5 | 27 | 09:30:15.231
-------------------------------------
table2:
id | eq_nb | depart_time
----------------------------------
1 | 25 | 05:31:15.231
----------------------------------
2 | 50 | 06:31:15.231
----------------------------------
3 | 7 | 07:31:15.231
----------------------------------
1 | 25 | 08:31:15.231
----------------------------------
desired result:
id | eq_nb | arrival_time | depart_time
-------------------------------------------------------
1 | 25 | 05:30:15.231 | 05:31:15.231
-------------------------------------------------------
2 | 50 | 06:30:15.231 | 06:31:15.231
-------------------------------------------------------
3 | 7 | 07:30:15.231 | 07:31:15.231
-------------------------------------------------------
1 | 25 | 08:30:15.231 | 08:31:15.231
--------------------------------------------------------
5 | 27 | 09:30:15.231 | NULL
--------------------------------------------------------
left join should do what you want:
select *
from table1 t1 left join
table2 t2
on t1.id = t2.id and t1.eq_nb = t2.eq_nb;
Given your data, the ids are unique, so there should be no duplication. Note: This is equivalent to your first query; left join is typically easier to follow because all the rows in the first table are in the result set.
Here is a db<>fiddle, illustrating that it works.
I have a question about JOIN.
TABLE A | TABLE B |
-----------------------------------------|
PK | div | PK | div | val |
-----------------------------------------|
A | a | 1 | a | 10 |
B | b | 2 | a | 100 |
C | c | 3 | c | 9 |
------------------| 4 | c | 99 |
-----------------------
There are two tables something like above, and I have been trying to join two tables but I want to see all rows from TABLE A.
Something like
SELECT T1.PK, T1.div, T2.val
FROM A T1
LEFT OUTER JOIN B T2
ON T1.div = T2.div
and I want the result would look like this below.
PK | div | val |
-------------------------
A | a | 10 |
A | a | 100 |
B | null | null |
C | c | 9 |
C | c | 99 |
I have tried all JOINs I know but B doesn't appear because it doesn't exist. Is it possible to show all rows on TABLE A and just show null if it doesn't exists on TABLE B?
Thanks in advance!
If you change your query to
SELECT T1.PK, T2.div, T2.val
FROM A T1
LEFT OUTER JOIN B T2
ON T1.div = T2.div
(Note, that div comes from T2 here.), you'll get exactly the result posted (but maybe in a different order, add an ORDER BY clause if you want a specific order).
Your query as it stands will get you:
PK | div | val |
-------------------------
A | a | 10 |
A | a | 100 |
B | b | null |
C | c | 9 |
C | c | 99 |
(Note, that div is b for the row with the PK of B, not null.)
To get to your resultset, all you need to do is use T2.Div as that is the value that does not exist in the second table:
SELECT T1.PK, T2.div, T2.val
FROM A T1
LEFT OUTER JOIN B T2
ON T1.div = T2.div
So I am wondering. I fell into an interesting suggestion from another developer. So i basically have two tables I join in a query and I want the resulting table from the query to have an extra column that comes from the table on from the joint.
Example:
#table A: contains rating of players, changes randomly at any date depending
#on drop of form from the players
PID| Rating | DateChange |
1 | 2 | 10-May-2014 |
1 | 4 | 20-May-2015 |
1 | 20 | 1-June-2015 |
2 | 4 | 1-April-2014|
3 | 4 | 5-April-2014|
2 | 3 | 3-May-2015 |
#Table B: contains match sheets. Every player has a different match sheet
#and plays different dates.
MsID | PID | MatchDate | Win |
1 | 2 | 10-May-2014 | No |
2 | 1 | 15-May-2015 | Yes |
3 | 3 | 10-Apr-2014 | No |
4 | 1 | 21-Apr-2015 | Yes |
5 | 1 | 3-June-2015 | Yes |
6 | 2 | 5-May-2015 | No |
#I am trying to achieve this by running the ms-access query: i want to get
#every players rating at the time the match was played not his current
#rating.
MsID | PID | MatchDate | Rating |
1 | 2 | 10-May-2014 | 4 |
2 | 1 | 15-May-2015 | 2 |
3 | 3 | 10-Apr-2014 | 4 |
4 | 1 | 21-Apr-2015 | 4 |
5 | 1 | 3-June-2015 | 20 |
6 | 2 | 5-May-2015 | 3 |
This is what I have tried below:
Select MsID, PID, MatchDate, A-table.rating as Rating from B-table
left Join A-table
on B-table.PID = A-table.PID
where B-table.MatchDate > A-table.Datechange;
any help is appreciated. The solution can be in Vba as long as it returns something like a view/table I can manipulate using other queries or report.
Think of this in terms of sets of data... you need a set that lists the MAX dateChange for each player's and match date.
Soo...
SELECT MAX(A.DateChange) MDC, A.PID, B.Matchdate
FROM B-table B
INNER Join A-table A
on B.PID = A.PID
and A.DateChange <= B.MatchDate
GROUP BY A.PID, B.Matchdate
Now we take this and join it back to what you've done to limit the results in table A and B to ONLY those with that date player and matchDate (my inline table C)
SELECT B.MsID, B.PID, B.MatchDate, A.rating as Rating
FROM [B-table] B
INNER JOIN [A-table] A
on B.PID = A.PID
INNER JOIN (
SELECT MAX(Y.DateChange) MDC, Y.PID, Z.Matchdate
FROM [B-table] Z
INNER Join [A-table] Y
on Z.PID = Y.PID
and Y.DateChange <= Z.MatchDate
GROUP BY Y.PID, Z.Matchdate) C
on C.mdc = A.DateChange
and A.PID = C.PId
and B.MatchDate = C.Matchdate
I didn't create a sample for this using your data so it's untested but I believe the logic is sound...
Now Tested! SQL Fiddle using SQL server though...
My results don't match yours exactly. I think you're expected results are wrong though for MSID 4 given rules defined.
I have a table in access with the following format:-
ID | Name | Qty
----+--------+------
1 | A1 | 10
2 | A2 | 20
3 | A1 | 30
4 | A2 | 40
5 | A1 | 50
----+--------+------
I want to run a query which will return the sum of Qty for each row above it where the Name matches. So, the Output will be :-
ID | Name | Output
----+--------+---------
1 | A1 | 0
2 | A2 | 0
3 | A1 | 10
4 | A2 | 20
5 | A1 | 40
----+--------+----------
I am not being able to write the query. I think I need some kind of recursive query, but I'm not very well versed in SQL/Databases.
Access does not support recursion. The following query should do what you want (i called your table NameQty):
SELECT t1.Id,t1.name,sum(t2.Qty)
FROM NameQty t1
LEFT JOIN NameQty t2 ON t1.name=t2.name AND t1.Id>t2.Id
GROUP BY t1.Id,t1.name
ORDER BY t1.Id
I think you should also use some other column than ID for the definition of "above".