I have a table that looks like below. It is created using a query -
NPI Other_Columns
123 Several_Other_Columns
456 Several_Other_Columns
How do I take every NPI from this table and get a count of the number of times they appeared in another table? The structure of the other table is like so -
Claim_id NPI1 NPI2 NPI3 NPI4 NPI5 NPI6 NPI7 NPI8
If NPIs in the first table, show in any field in the second table, we want to count that claim.s
The first task is the join
SELECT
t1.npi,
t1.other_columns,
t2.claim_id
FROM table1 as t1
JOIN table2 as t2 ON t1.npi in (t2.np1,t2.np2,t2.np3,t2.np4,t2.np5,t2.np6,t2.np7,t2.np8)
that gets you all the things joined.
Now count those..
SELECT
count(t2.claim_id)
FROM table1 as t1
JOIN table2 as t2 ON t1.npi in (t2.np1,t2.np2,t2.np3,t2.np4,t2.np5,t2.np6,t2.np7,t2.np8)
Related
I have two tables.
Table 1
Id
UpdateId
Name
Table 2
Table1ID
UpdateID
Address
Each time user update, system will insert record to table1. But for table2, system only insert record when there is update in address.
Sample data
Table 1
1,1,name1
1,2,name1
1,3,name1update
1,4,name1update
1,5,name1
1,6,name2
Table 2
1,1,address
1,4,addressupdate
I want to get the result as following
1,1,name1,address
1,2,name1,address
1,3,name1update,address
1,4,name1update,addressupdate
1,5,name1,addressupdate
1,6,name2,addressupdate
How to make use of join condition to achieve as above?
You can use a correlated subquery. Here is standard syntax, but it can be easily adapted to any database:
select t1.*,
(select t2.addressid
from table2 t2
where t2.table1id = t1.id and
t2.updateid <= t1.updateid
order by t2.updateid desc
fetch first 1 row only
) as addressid
from table1 t1;
you can use left join when you want to take all columns from left table t1 even though it doesn't match with the other table with column updateid on t2 table.
select t1.id,t1.updateid,t1.name,t2.address from table1 t1
left join table2 t2
on t2.updateid= t1.updateid
you can read more about joins here
I have two tables:
One is base table and second is transaction table. I want to compare base table value with second table's sum of value with group by.
Table1(T1Id,Amount1,...)
Tabe2(T2Id,T1ID,Amount2)
I want those rows from table 1 WHere SUM of Table2's SUM( Amount2) is greater or equal table1's Amount1.
*T1ID is in relation with both tables
* The SQL query have many joins with other table for data retriving.
One approach uses a join:
SELECT t1.T1Id, t1.Amount1
FROM Table1 t1
INNER JOIN Table2 t2
ON t1.T1Id = t2.T1ID
GROUP BY
t1.T1Id, t1.Amount1
HAVING
SUM(t2.Amount2) >= t1.Amount1;
We can also try doing this via a correlated subquery:
SELECT t1.T1Id, t1.Amount1
FROM Table1 t1
WHERE t1.Amount1 <= (SELECT SUM(t2.Amount2) FROM Table2 t2
WHERE t1.T1Id = t2.T1ID);
I would use something similar to the query below:
SELECT
a.T1Id, a.Amount1, SUM(b.Amount2)
FROM Table1 a
INNER JOIN Table2 b on b.T1Id = a.T1Id
GROUP BY a.T1Id, a.Amount1
HAVING SUM(b.Amount2) >= a.Amount1;
Basically what the query above does is give you the ID, Amount from table 1 and the summed amount from table 2. The HAVING clause at the end of query filters out those records where the summed amount from the second table is smaller than the amount from the first one.
If you want to add further table joins to the query, you can do so by adding as many joins as you wish. I would recommend having a referenced ID for each table you are joining in the Table1 table.
I have two tables and i want to use some records from first table and get last related record from another one.
You can see my tables
I want to join table 1 with last record of table 2. (creationDate = 2018-07-20)
If you simply want to get the latest record in table 2 for every ID in table one then this will work:
select t1.ID, t1.Name, q.ID, q.CreationDate
from table1 t1
outer apply
(
select top 1 t2.ID, t2.CreationDate
from table2 t2
where t2.tbl_1_Id = t1.ID
order by t2.CreationDate desc
)q
I'm using sqlite through the RSQLite package in R.
I have two tables:
Table 1 has important columns 'PERMCO' and 'Reporting_Period'.
('Reporting_Period' is an integer date)
Table 2 has important columns 'PERMCO' and 'date'.
('date' is an integer date)
I want to do a left join with table 1 as the left table.
Thing is that 'PERMCO' is not unique (row-wise, many duplicates) in the second table.
For a given row of table 1, I want the match from the second table to be the row from table 2 with matching PERMCO that is closest in absolute date to 'Reporting_Period' in the first table.
Not really sure how to do this...
Thank you
The Idea is a correlated subquery to get the closest day in table2 from Reporting_Period in table1
SELECT t1.*, t2.*
FROM table1 t1
LEFT JOIN table2 t2
ON t1.permco = t2.permco
WHERE ABS(t2."date" - t1.Reporting_Period) = (SELECT MIN(ABS("date" - t1.Reporting_Period) )
FROM table2
WHERE permco = t1.permco
)
OR t2.permco IS NULL --because you want a left join
;
I'm not familier with Sqlite, so you may need to change the query to subtract the two date.
my first table has about 18K records
so when i
select * from table2 i get about 18k
i'm trying to do a join on it as follows, but i'm getting like 26K back.. what am i doing wrong? i though it's supposed to return all of the "right" aka table2 records plus show me whatever value matches from the first in a separate column...
Select t1.fID , t2.*
FROM table1 t1 right join table2 t2 on t1.fName = t2.f
here is an exmaple of my tables:
table 1:
fID, fName
table 2: id, f, address, etc
i need to get all records from table 2, with an fID column, whenever f=fName
table1 has many rows with a value of fname that matches the same in table2.
Example, say 5k rows table2 have no matching rows in table1, you have a average of 2 rows in table 1 for each of the remaining 13k table2 rows
Because you have also asked for a column for table1, this will happen. You'll note multiple t1.fId values for a given t2.fname. Or NULLs
If t1.fName and t2.f aren't unique identifiers for their tables, you will find that rows from table1 are being joined with multiple rows from table2.
The RIGHT JOIN keyword Return all rows from the right table (table_name2), even if there are no matches in the left table (table_name1).See Right Join
So it looks like you do not have your matching criteria set correctly or you have no matches.
This is possible when some fName values are repeated in Table2 and/or Table 1.
Run these Queries and See:
SELECT fName, COUNT(1) FROM Table2 GROUP BY fName HAVING COUNT(1) > 1
SELECT fName, COUNT(1) FROM Table1 GROUP BY fName HAVING COUNT(1) > 1