I have two datasets a and b each with fields for cusip and ticker. The sql i'd like to perform would take a column from set b if a.cusip=b.cusip, but if i cannot find a match for the cusip, i'd like to take the column from b if a.ticker=b.ticker.
Is there an easy way to execute this? I'm having trouble constructing the code in one go.
Inner join and Or in your where Clause condition should do the job.
Select * from a
inner join b on a.cusip=b.cusip
or a.ticket = b.ticket;
You'll need to join to your B table twice, once on cusip and once on ticker. Then you can use coalesce to take the first non-null value.
select
coalesce (b_cusip.column, b_ticker.column),
...
from
a
left outer join b b_cusip
on a.cusip = b_cusip.cusip
left outer join b b_ticker
on a.ticker = b_ticker.ticker
You could try something like this:
data dataset_a;
input cusip ticker;
datalines;
1 111
2 222
3 333
5 555
;
run;
data dataset_b;
input cusip ticker value;
datalines;
1 111 10
20 222 25
30 333 40
4 444 55
;
run;
proc sql _method;
create table mydata as
select
a.*
,b.value
from dataset_a as a
left join dataset_b as b
on (case
when a.cusip=b.cusip then 1
when a.ticker=b.ticker then 1
else 0
end)=1
;
quit;
returns:
cusip ticker value
1 111 10
2 222 25
3 333 40
5 555 .
Related
I have 2 tables , one stores IDs and another logs for each ID , i would like to get sum of log for each ID and ID number from these 2 tables
A B
------- -------------
ID ID_C LOG
1 1 15
2 1 30
3 4 44
4 2 14
5 3 88
3 10
2 10
for getting sum query is
SELECT SUM(LOG) FROM B WHERE ID_C ='2' ;
notice ID and ID_C are same but name is different in tables
and for getting all ids available query is
SELECT ID FROM A ;
I would like to get the following table result
result
--------------------
ID SUM
1 45
4 44
2 24
3 98
I tried
SELECT SUM(LOG) FROM B WHERE ID_C in (SELECT ID FROM A ) ;
but it result in sum of all IDs
It looks like you just need a join aggregation here:
SELECT a.ID, SUM(b.LOG) AS SUM
FROM A a
INNER JOIN B b
ON b.ID_C = a.ID
GROUP BY a.ID
ORDER BY a.ID;
Note that the inner join will also remove ID values from the A table which no entries whatsoever in the B table, which seems to be the behavior you want.
you should use inner join and GROUP BY:
SELECT A.ID as ID, SUM(LOG) AS SumLOG
FROM A inner join B ON A.ID = B.ID_C
GROUP BY A.ID
if you needed can use where for ID filter.
I have the table 'Table01' which contains the keys that should be mandatory:
id
1
2
3
4
And I also have the table 'Table02' which contains the records to be filtered:
id
customer
weight
1
a
100
2
a
300
3
a
200
4
a
45
1
b
20
2
b
100
3
b
17
1
c
80
4
c
90
2
d
30
3
d
30
4
d
50
So I want to identify which are the mandatory id's that the table 'Table02' does not have, and in turn identify which is the 'customer' of each id's that the table 'Table02' does not have.
The resulting table should look like this:
customer
id
b
4
c
2
c
3
d
1
What I have tried so far is a 'rigth join'.
proc sql;
create table table03 as
select
b.id
from table02 a
right join table01 b
on a.id=b.id
where a.id is null;
run;
But that query is not identifying all the id's that should be mandatory.
I hope someone can help me, thank you very much.
here is one way:
select cl.customerid , a.id
from
Table1 a
cross join
( select customerid
from table2
group by customerid
) cl
where not exists ( select 1 from table2 b
where b.customerid = cl.customerid
and b.id = a.id
)
You can use an EXCEPT between two sub-selects. The first creates a matrix of all possibilities, and the except table is a selection of the extant customers.
Example:
data ids;
do id = 1 to 4; output; end;
run;
data have;
input id customer $ weight;
datalines;
1 a 100
2 a 300
3 a 200
4 a 45
1 b 20
2 b 100
3 b 17
1 c 80
4 c 90
2 d 30
3 d 30
4 d 50
run;
proc sql;
create table want(label='Customers missing some ids') as
select matrix.*
from
(select distinct have.customer, ids.id from have, ids) as matrix
except
(select customer, id from have)
;
quit;
If you are doing it in SQL server. Something like #eshirvana above posted, but also you can use with cte:
;with cte as
(
SELECT t1.id, t2.Customer
FROM Table01 t1
cross join (select distinct customer from Table02)
)
SELECT a.customer, a.id FROM cte a
LEFT JOIN Table02 b
ON a.id=b.id AND a.customer=b.customer
where b.id is null
I have bug in my query, but I have no idea what happen.
So there is 3 tables.
table 1
name grade min max
a
b
c
d
e
table 2
fullname name min max
a a123 1 10
bbbb b 2 20
c cccc 3 30
d dd 1 10
E Ed 2 20
table 3
value grade
25 A
15 B
5 C
my goal is using name, show the grade of the name( the max > value in table 3).
for example, c has 30 in max, it should have A grade, instead of B and C.
Also, the name usually is the fullname in table 2, but sometime it is name in the table2(like b)(here is one of bugs). That's how the table look like, I can't change it.
if I am not include the checking table 1.name = table 2.name . no bug at all, but cannot get grade for b
if i include the table 1.name = table 2.name.then, it has problem
for the query of matching the grade, it is like(assume get the min and max from table 2 before)
update table1
set table1.grade = table3.grade
from table1 inner join table3
on table1.max > table3.value
All the cases are include the checking table 1.name = table 2.name
case 1:
the grade will equal = C for all data if there is some data inlcude.
for example, in table1, if I am not include E, then everything is fine.
but if I include E, will get C grade for all records.
case 2:
if I run the query for all data at the same time, the result goes wrong.
it work fine if I update the record one by one.,
for example, i add one more condition in update query
update table1
set table1.grade = table3.grade
from table1 inner join table3
on table1.max > table3.value and fullname='c'
after getting wrong result, i add the condition and run it again,
then c will get grade 'A' instead of 'C'. but if I remove the condition and run the query again.
c will get grade 'C' again.
case 3:
there is no problem when I only run the set of data that will cause case 1 problem independently.
but if I put the data together, It cases problem.
That is all cases. I don't know what cause the problem. Please help
The result should be:
table 1
name grade min max
a C 1 10
b B 2 20
c A 3 30
d C 1 10
e B 2 20
If I remove table1.name = table2.name, result will be
table 1
name grade min max
a C 1 10
b null null null
c A 3 30
d C 1 10
e B 2 20
with table1.name = table2.name, result will be
table 1
name grade min max
a C 1 10
b C 2 20
c C 3 30
d C 1 10
e C 2 20
with table1.name = table2.name but remove e , result will be
table 1
name grade min max
a C 1 10
b B 2 20
c A 3 30
d C 1 10
with table1.name = table2.name but only for e,result will be
name grade min max
e B 2 20
those situation happen when I run the update query for whole table.
there is no problem with table1.name = table2.name if I update each row one by one.
At the very least, you should avoid the way you update the table. You should be carefull with joins on update. If you happen to have more than one value for the same row, the result is not deterministic. Better use this form:
update table1
set table1.grade = (SELECT TOP 1 table3.grade FROM table3
WHERE table3.value < table1.max
ORDER BY table3.value DESC)
I am not sure about the expected results but you may have traced the problem already: incorrect criteria.
Before doing an update, just try a select with the same criteria eg:
select *
from table1 inner join table3
on table1.max > table3.value
and see what you get.
I am struggeling with a left join on a Raima database. I'd like to add an additional join condition, but in this case the join behaves like an inner join, thus I am losing some of the expected results.
Example:
TABLE_A
ID
-------
1
2
3
4
.
TABLE_B
A_ID | B
--------
1 | 1
2 | 1
2 | 2
3 | 2
Query
select * from TABLE_A left join TABLE_B
on TABLE_A.ID = TABLE_B.A_ID
and TABLE_B.B = 1
I am expecting the following result:
1 1 1
2 2 1
3 null null
4 null null
E.g. on an Oracle 11g I get the expected result, but on the Raima it shows me only the first two results. What is the problem here and how to fix it?
You need this
select * from A left join
(select * from B where B=1) bd
on A.ID = bd.A_ID
The query you gave will not give you expected result in oracle also. This will.
PS: Please use different names for table and column
I have a table named category with values as below,
CategoryId | Value | Flag
1 25 a
2 26 a
3 27 a
1 28 m2 23 m
1 36 p2 33 p
Now I want to transpose the rows present in this table to columns based on the flag, something like
CategoryId | aValue | mValue | PValue
1 25 28 36
2 26 23 33
3 27 null null
I am trying to join based on the category id but I am just getting the matched records (inner join) in my resultset even if I use left outer join in my query.
My query:
SELECT
A.CategoryId,
A.Value AS actual,
B.Value AS projected,
C.Value AS Manual
FROM ((a AS A left JOIN b AS B ON A.categoryid=B.categoryid)
left JOIN c AS C ON A.categoryid=C.categoryid)
WHERE (((A.flag)="a") and ((B.flag)="p") and ((C.flag) ="m"))
I am getting the proper results if I have the data in 3 different tables.
I just want to check what would be the best way to transpose a rows to column when using self join...
Thanks,
Barani
Try this:
SELECT CategoryId,
MIN(SWITCH(YourTable.Flag = 'a',Value)) AS aValue,
MIN(SWITCH(YourTable.Flag = 'm',Value)) AS mValue,
MIN(SWITCH(YourTable.Flag = 'p',Value)) AS pValue
FROM YourTable
GROUP BY CategoryId