how do I get the following postgres queries? - sql

I have two tables: tableA and tableB. TableA has a field idA and tableB has a record idB and idBPtrA where idBptrA is a pointer to tableA (one of the idA).
I want, using postgres, to select records from a TableA that have the minimal number of records in tableB.
Something like:
select idA,idB,count(idBPtrA) as c
from tableA,tableB
group by idBPtrA
where idA=idB order by c
This of course doesn't work and gives me an error, but I think it should be very similar to that... Any ideas?

I think this is the query that you want:
select a.idA, count(b.idB) as c
from tableA a left join
tableB b
on a.idA = b.idptrA
group by a.idA
order by c;
Notes:
Use table aliases and qualify column names (especially if you are learning SQL).
Learn and use proper, explicit JOIN syntax. Simple rule: Never use commas in the FROM clause.

Related

duplicate query result when join table

I face issue about duplicate data when join table, here my sample data table I have
-- Table A
I want to join with
-- Table B
this my query notation for join both table,
select a.trans_id, name
from tableA a
inner join tableB b
on a.ID_Trans = b.trans_id
and this the result, why I get the duplicating data which should show only two lines of data, please help me to solve this case.
Firstly, as you have been told multiple times in the comments, this is working exactly as you have written, and (more importantly) as intended. You have 2 rows in tableA and those 2 rows match 2 rows in your table tableB according to the ON clause. This means that each join operation, for the each of the rows in tableA, results in 2 rows as well; thus 4 rows (2 * 2 = 4).
Considering that your table, TableA only has one column then it seems that you should be cleaning up that data and deleting the duplicates. There are plenty of examples on how to do that already (example).
Perhaps the column you show us in TableA is one many, and thus instead you have a denormalisation issue, and instead there should be another table with the details of Id_trans and a PRIMARY KEY or UNIQUE CONSTRAINT/INDEX on it. Then you would join fron that table to TableB.
Finally, what you might be after is an EXISTS, which would look like this:
SELECT B.trans_id, B.[name]
FROM dbo.TableB B
WHERE EXISTS(SELECT 1
FROM dbo.TableA A
WHERE A.ID_Trans = B.trans_id); --Odd that it's called ID_Trans in one table, and Trans_ID in another
As the comments mentioned your query does exactly what you asked it to do but I think you wanted something like:
select a.trans_id, a.name, b.name
from tableA a
inner join tableB b on a.trans_id = b.trans_id
group by a.trans_id, a.name, b.name
Since there are two rows in both table with same ID join will make them four. You can use distinct to remove duplicates:
select distinct a.trans_id, name
from tableA a
inner join tableB b
on a.id_trans = b.trans_id
But I would suggest to use exists:
select trans_id, name
from tableB b
exists (select 1 from tableA a where a.trans_id=b.trans_id)

Join two tables based on the partial matched column

i want to join two tables in hive based on the partial match. So far, i tried with the below SQL query:
select * from tableA a join tableB b on a.id like '%'+b.id+'%';
and instr but nothing working, is there a way?
JOIN in Hive only support equation conditions. Plus, you should use CONCAT for your string concatenation.
This is one solution instead.
select *
from tableA a, tableB b
where a.id like concat('%',b.id,'%')

Join of Two Tables where Data Matches in One Column

For some reason I have a hard time grasping joins and this one should be very simple with the knowledge that I have in SQL.
Anyway, I have 2 tables. We will call them TableA and TableB. One of the columns in TableA is "ID". TableB only consists of the column "ID". I want to return all rows in TableA whose ID is present in TableB.
I know this should be very simple to figure out, but my brain doesn't want to work today.
You can do this using an EXISTS:
Select A.*
From TableA A
Where Exists
(
Select *
From TableB B
Where A.Id = B.Id
)
You can also use a JOIN if you wish, but depending on your data, you may want to couple that with a SELECT DISTINCT:
Select Distinct A.*
From TableA A
Join TableB B On A.Id = B.Id
One thing to keep in mind is that the ID of TableA is not necessarily related to the ID of TableB.
this should work
SELECT B.ID
FROM TableA A
JOIN TableB B
ON (A.ID=B.ID)
WHERE A.ID=B.ID
You can also use IN operator like this:
Select *
From TableA
Where ID in
(
Select distinct ID
From TableB
)

SQL join including all rows from one table irrespective of how many are represented in the other

I have two tables:
I want to output the following:
I tried this statement:
SELECT TableA.bu_code
, SUM(TableB.count_invalid_date) AS TotalInvDate
FROM TableA
LEFT JOIN TableB ON TableA.bu_code = TableB.bu_code
GROUP BY TableA.bu_code
But it doesn't show every row represented in TableA, instead it does this:
Is there a single SQL statement that can output what I want?
You could use a left join after performing the group by:
SELECT a.bu_code, COALESCE (TotalInvDate, 0)
FROM TableA a
LEFT JOIN (SELECT bu_code, SUM(count_invalid_date) AS TotalInvDate
FROM TableB
GROUP BY bu_code) b ON a.bu_code = b.bu_code
There may be orphaned TableB rows without a parent row in TableA.
If so, use this GROUP BY syntax to see them.
GROUP BY ROLLUP(TableA.bu_code)
Refer to this Microsoft SQL-Server page on the GROUP BY clause for more details on the ROLLUP option.
SELECT A.bu_code AS [bu_code],
ISNULL(sum( B.count_invalid_date),0) AS [TotalInvDate]
FROM
TableA A
left JOIN
TableB B
ON
A.bu_code=B.bu_code
GROUP BY
A.bu_code

Join SQL query to get data from two tables

I'm a newbie, just learning SQL and have this question: I have two tables with the same columns. Some registers are in the two tables but others only are in one of the tables. To illustrate, suppose table A = (1,2,3,4), table B=(3,4,5,6), numbers are registers. I need to select all registers in table B if they are not in table A, that is result=(5,6). What query should I use? Maybe a join. Thanks.
You can either use a NOT IN query like this:
SELECT col from A where col not in (select col from B)
or use an outer join:
select A.col
from A LEFT OUTER JOIN B on A.col=B.col
where B.col is NULL
The first is easier to understand, but the second is easier to use with more tables in the query.
Select register from TABLE_B b
Where not exists (Select register from TABLE_A a where a.register = b.register)
I assumed you have a column named register in TABLE_A and TABLE_B