I have two hive table's. And both tables have one column column. There are some few rows which value is same in both tables
Now my requirement is join the two tables and exclude the common records from second table based on common column.
For example,
Table a:
Name. City. Country
Devid. Hyd. Ind
Steve. London. UK
John. Bangalore. Ind
Table B
Name. City. Country
Xxxx. Xxxxx. Ind
Yyyyy. Yyyy. US
Zzzz. Zzzzz. UK
Now my required output is
Name. City. Country
Devid. Hyd. Ind
Steve. London. UK
John. Bangalore. Ind
Yyyyy. Yyyy. US
I tried following logic
Select a.* From A a union
Select t.* From (
Select c.* From table B b right join table A c on
b.country = c.coubtry
Where b.id is null) t;
This query not completing, keep on running. Any workaround needed?
Please help me out guys.
Try the below code:
SELECT * FROM A
UNION
SELECT * FROM B
WHERE Country NOT IN
(SELECT DISTINCT Country FROM A)
Related
I have 2 tables: Person and House with 1-n relation.
I want to the result return as picture below:
Row always have a Person column with a null House column.
Thanks.
you can use unionall to join the result set with person table something like
select p.name,h.name as housename from person p join house h on p.id=h.personid
union all (select name,null from person)
order by name,housename
I have two tables with the following rows
Table A (transaction)
Order Seller Customer
1 300 500
Table B (Persons)
PersonID FullName
300 Peter White
500 Scott Bold
I want a result like this
Order Seller Customer FullName (Seller) FullName (customer)
1 300 500 Peter White Scott Bold
I've tried multiple things however which makes more sense is a join a table twice, however I'm getting:
Ambiguous column name
This is SQL Server 2019.
Basically I'm looking to retrieve info from the same table instead of creating additional tables. Is that possible? If yes, how do you do? Thank you in advance.
As #jarlh wrote in comment:
select t.order, t.seller, t.customer, sel.fullname, cust.fullname
from transaction t
join persons sel -- sel is an alias to persons table
on sel.personid = t.seller
join persons cust
on cust.personid = t.customer;
Query with join will return the result as long as both seller and customer exist in persons table -- here it should as source table names transactions :).
I have another form of query it still join table B twice.
This is archaic syntax which I don't recommend but for beginner know the concept of JOIN:
select t.*,B.FullName as FullName (customer) from
(
select A.Order,A.Seller,A.Customer,B.FullName as FullName(Seller)
from A,B where A.Seller=B.PersionID
) t, B where t.Customer=B.PersionID
The proper way of JOIN:
select t.*,B.FullName as FullName (customer) from
(
select A.Order,A.Seller,A.Customer,B.FullName as FullName(Seller)
from A JOIN B ON A.Seller=B.PersionID
) t JOIN B ON t.Customer=B.PersionID
Hoping this can help you.
I have a SQL table that shows Cities and County Table that shows counties, but the structure of tables is different so I cannot use Union. I need to show all recorded from both table that has a name for example 'Orange',
These are my 2 queries that I want in combine.
select * from [geo].[tblCounty] co
where co.CountyName like 'ORANGE%'
select * from [geo].[tblCity] c
where c.CityName like 'ORANGE%'
Table County:
City Table:
I need all county or citys that has Orange on the CountyName or CityName. basically 3 row of record with these data.
just use the same type columns instead of *
select co.CountyName from [geo].[tblCounty] co
where co.CountyName like 'ORANGE%'
union
select c.CityName from [geo].[tblCity] c
where c.CityName like 'ORANGE%'
I'm trying to do an inner join in a nested select statement. Basically, There are first and last reason IDs that produce a certain number (EX: 200). In another table, there are definitions for the IDs. I'm trying to pull the Last ID, along with the corresponding comment for whatever is pulled (EX: 200 - Patient Cancelled), then the first ID and the comment for whatever ID it is.
This is what I have so far:
Select BUSN_ID
AREA_NAME
DATE
AREA_STATUS
(Select B.REASON_ID
A.LAST_REASON_ID
FROM BUSN_INFO A, BUSN_REASONS B
WHERE A.LAST_REASON _ID=B.REASON_ID,
(Select B.REASON_ID
A. FIRST_REASON_ID
FROM BUSN_INFO A, BUSN_REASONS B
WHERE A_FIRST_REASON_ID = B.REASON_ID)
FROM BUSN_INFO
I believe an inner join is best, but I'm stuck on how it would actually work.
Required result would look like (this is example dummy data):
First ID -- Busn Reason -- Last ID -- Busn Reason
1 Patient Sick 2 Patient Cancelled
2 Patient Cancelled 2 Patient Cancelled
3 Patient No Show 1 Patient Sick
Justin_Cave's SECOND example is the way I used to solve this problem.
If you want to use inline select statements, your inline select has to select a single column and should just join back to the table that is the basis of your query. In the query you posted, you're selecting the same numeric identifier multiple times. My guess is that you really want to query a string column from the lookup table-- I'll assume that the column is called reason_description
Select BUSN_ID,
AREA_NAME,
DATE,
AREA_STATUS,
a.last_reason_id,
(Select B.REASON_description
FROM BUSN_REASONS B
WHERE A.LAST_REASON_ID=B.REASON_ID),
a.first_reason_id,
(Select B.REASON_description
FROM BUSN_REASONS B
WHERE A.FIRST_REASON_ID = B.REASON_ID)
FROM BUSN_INFO A
More conventionally, though, you'd just join to the busn_reasons table twice
SELECT i.busn_id,
i.area_name,
i.date,
i.area_status,
i.last_reason_id,
last_reason.reason_description,
i.first_reason_id,
first_reason.reason_description
FROM busn_info i
JOIN busn_reason first_reason
ON( i.first_reason_id = first_reason.reason_id )
JOIN busn_reason last_reason
ON( i.last_reason_id = last_reason.reason_id )
I was trying to update table columns from another table.
In person table, there can be multiple contact persons with same inst_id.
I have a firm table, which will have latest 2 contact details from person table.
I am expecting the firm tables as below:
If there is only one contact person, update person1 and email1. If there are 2, update both. If there is 3, discard the 3rd one.
Can someone help me on this?
This should work:
;with cte (rn, id, inst_id, person_name, email) as (
select row_number() over (partition by inst_id order by id) rn, *
from person
)
update f
set
person1 = cte1.person_name,
email1 = cte1.email,
person2 = cte2.person_name,
email2 = cte2.email
from firm f
left join cte cte1 on f.inst_id = cte1.inst_id and cte1.rn = 1
left join cte cte2 on f.inst_id = cte2.inst_id and cte2.rn = 2
The common table expression (cte) used as a source for the update numbers rows in the person table, partitioned by inst_id, and then the update joins the cte twice (for top 1 and top 2).
Sample SQL Fiddle
I think you don't have to bother yourself with this update, if you rethink your database structure. One great advantage of relational databases is, that you don't need to store the same data several times in several tables, but have one single table for one kind of data (like the person's table in your case) and then reference it (by relationships or foreign keys for example).
So what does this mean for your example? I suggest, to create a institution's table where you insert two attributes like contactperson1 and contactperson2: but dont't insert all the contact details (like email and name), just the primary key of the person and make it a foreign key.
So you got a table 'Person', that should look something like this:
ID INSTITUTION_ID NAME EMAIL
1 100 abc abc#inst.com
2 101 efg efg#xym.com
3 101 ijk ijk#fg.com
4 101 rtw rtw#rtw.com
...
And a table "Institution" like:
ID CONTACTPERSON1 CONTACTPERSON2
100 1 NULL
101 2 3
...
If you now want to change the email adress, just update the person's table. You don't need to update the firm's table.
And how do you get your desired "table" with the two contact persons' details? Just make a query:
SELECT i.id, p1.name, p1.email, p2.name, p2.email
FROM institution i LEFT OUTER JOIN person p1 ON (i.contactperson1 = p1.id)
LEFT OUTER JOIN person p2 ON (i.contactperson2 = p2.id)
If you need this query often and access it like a "table" just store it as a view.