I have a table(A) that looks something like:
ID Date
1 2012/01/12
2 2012/01/01
3 2012/01/03
4 2012/03/12
If I wanted to grab the MIN date for this query, would I just group by?
select
a.ID,
MIN(a.DATE),
b.name,
c.price
FROM
tablea a inner join tableb b on a.ID = b.ID
inner join tablec c b.ID = c.ID
You want a window function. The correct expression is:
select a.id,
min(a.date) over () as mindate,
b.name, c.price
. . .
This says to get the min of the date over the data. There is no partition, so it gets it over all the data.
If you are looking for those that had the minimum date, then you can do this:
select
a.ID,
a.DATE,
b.name,
c.price
FROM tablea a
INNER JOIN
(
SELECT Id, MIN(Date) AS MinDate
FROM tablea
GROUP BY Id
) As minA ON a.date = mina.mindate AND a.id = mina.id
inner join tableb b on a.ID = b.ID
inner join tablec c b.ID = c.ID
WITH recordList
as
(
select a.ID,
a.DATE,
b.name,
c.price,
DENSE_RANK() OVER (PARTITION BY a.ID
ORDER BY a.Date ASC) rn
FROM tablea a
inner join tableb b on a.ID = b.ID
inner join tablec c b.ID = c.ID
)
SELECT ID, DATE, name, Price
FROM recordList
WHERE rn = 1
Related
I have two tables A (group_id, id, subject) and B (id, date). Below is the joint table of tables A and B on id. I have tried using distinct and partition to remove the duplicates in group_id(field) only, but no luck:
My code:
select
a.group_id, a.id, a.subject, b.date
from
A a
inner join
(select
b.*,
row_number() over (partition by group_id order by date asc) as seqnum
from
B b) b on a.id = b.id and seqnum = 1
order by
date desc;
I got this error when I ran the code:
Partitioning can not be used stand-alone in query near 'partition by group_id order by date asc) as seqnum from B' at line 1
This is my expected result:
Thank you in advance!
It looks like you want the earliest date for each row in the table you show. Your question mentions two tables, but you only show one.
I recommend a correlated subquery in most databases:
select b.*
from b
where b.date = (select min(b2.date)
from b b2
where b2.group_id = b.group_id
);
I see. You need to join first and then use row_number():
select ab.*
from (select a.group_id, a.id, a.subject, b.date,
row_number() over (partition by a.group_id order by b.date) as seqnum
from A a join
B b
on a.id = b.id
) ab
where seqnum = 1
order by date desc;
You are almost there. But the column that you try to use to partition (ie group_id) comes from table a, which is not available in the subquery.
You would need to JOIN and assign the row number in a subquery, and then filter in the outer query.
select *
from (
select
a.group_id,
a.id,
a.subject,
b.date,
row_number() over (partition by a.group_id order by b.date asc) as seqnum
from a
inner join b on ON a.id = b.id
)
where seqnum = 1
ORDER BY date desc;
Another way to achieve your goal though it may not be the efficient one
SELECT
A.group_id, A.id, B.Date, A.subject
FROM A
INNER JOIN B
ON A.Id = B.Id
INNER JOIN
(
SELECT
A.Group_id, MIN(B.Date) AS Date
FROM A
INNER JOIN B
ON A.Id = B.Id
GROUP BY A.group_id
) AS supportTable
ON A.group_id = supportTable.group_id
AND B.Date = supportTable.Date
I have a oracle database and I'm trying to query data in table1 and inner join with another table2 where one of the columns(date) is equal to the most recent date and another column in table2(built) is equal to 'yes'. This query below is not picking up the where function and can't pinpoint why
SELECT id, b, c, d
FROM table1 a
INNER JOIN table2 b on b.id = a.id
WHERE b.date =(SELECT MAX(date) FROM table2) AND b.built = 'yes'
Actual query
SELECT m_tp_str, m_tp_trn, m_tp_dte, m_tp_buy, m_tp_qtyeq, m_tp_nom, m_instr,
m_tp_p, m_tp_status2
FROM HA_PRD_DM.TP_ALL_REP a INNER JOIN HA_PRD_DM.UDF_CURR_REP b
ON a.m_udf_ref2 = b.m_nb
WHERE b.m_rep_date2 = (SELECT MAX(c.m_rep_date2) FROM HA_PRD_DM.UDF_CURR_REP c)
AND b.m_purpose = 'yes'
You can do this using analytic functions:
SELECT id, b, c, d
FROM table1 a INNER JOIN
(SELECT b.*, MAX(date) OVER (PARTITION BY b.id) as max_date
FROM table2 b
WHERE built = 'yes'
) b
ON b.id = a.id AND b.max_date = b.date;
I have 3 tables like
A. (Aid,person)
B. (Bid,event,InsertDate)
C. (Cid,Aid,Bid)
now I need to get last recent event base on B.InsertDate desc from joined B.event and A.Person (last event of each person)
I tried join but that make multiple A.Person and B.event.
Can you guide me please?
Update:
for now I just add another lastUpdate column to person table and update that for each insert in Event table and made that equal to InsertDate. so my query is like:
SELECT
A.person, B.event
from tableA A
join tableC C
on A.Aid = C.Aid
join tableB B
on B.Bid = C.Bid and B.InsertDate = A.lastUpdate
Try this:
SELECT
A.person,
B.event,
MAX(B.InsertDate)
FROM
A
JOIN C ON A.Aid = C.Aid
JOIN B ON B.Bid = C.Bid
GROUP BY
A.person,
B.event
May be something lyk this
WITH cte
AS (SELECT Row_number() OVER (partition BY person ORDER BY B.InsertDate DESC) rn,
A.person,
B.event,
B.InsertDate AS LastEventDate
FROM B
JOIN (SELECT B.event,
Max(B.InsertDate) InsertDate
FROM B
GROUP BY B.event) sub
ON sub.event = B.event
AND sub.InsertDate = b.InsertDate
JOIN A
ON A.Bid = C.Bid
JOIN C
ON B.Bid = C.Bid)
SELECT *
FROM cte
WHERE rn = 1
I have tables a, b, c, and d whereby:
There are 0 or more b rows for each a row
There are 0 or more c rows for each a row
There are 0 or more d rows for each a row
If I try a query like the following:
SELECT a.id, SUM(b.debit), SUM(c.credit), SUM(d.other)
FROM a
LEFT JOIN b on a.id = b.a_id
LEFT JOIN c on a.id = c.a_id
LEFT JOIN d on a.id = d.a_id
GROUP BY a.id
I notice that I have created a cartesian product and therefore my sums are incorrect (much too large).
I see that there are other SO questions and answers, however I'm still not grasping how I can accomplish what I want to do in a single query. Is it possible in SQL to write a query which aggregates all of the following data:
SELECT a.id, SUM(b.debit)
FROM a
LEFT JOIN b on a.id = b.a_id
GROUP BY a.id
SELECT a.id, SUM(c.credit)
FROM a
LEFT JOIN c on a.id = c.a_id
GROUP BY a.id
SELECT a.id, SUM(d.other)
FROM a
LEFT JOIN d on a.id = d.a_id
GROUP BY a.id
in a single query?
Your analysis is correct. Unrelated JOIN create cartesian products.
You have to do the sums separately and then do a final addition. This is doable in one query and you have several options for that:
Sub-requests in your SELECT: SELECT a.id, (SELECT SUM(b.debit) FROM b WHERE b.a_id = a.id) + ...
CROSS APPLY with a similar query as the first bullet then SELECT a.id, b_sum + c_sum + d_sum
UNION ALL as you suggested with an outer SUM and GROUP BY on top of that.
LEFT JOIN to similar subqueries as above.
And probably more... The performance of the various solutions might be slightly different depending on how many rows in A you want to select.
SELECT a.ID, debit, credit, other
FROM a
LEFT JOIN (SELECT a_id, SUM(b.debit) as debit
FROM b
GROUP BY a_id) b ON a.ID = b.a_id
LEFT JOIN (SELECT a_id, SUM(b.credit) as credit
FROM c
GROUP BY a_id) c ON a.ID = c.a_id
LEFT JOIN (SELECT a_id, SUM(b.other) as other
FROM d
GROUP BY a_id) d ON a.ID = d.a_id
Can also be done with correlated subqueries:
SELECT a.id
, (SELECT SUM(debit) FROM b WHERE a.id = b.a_id)
, (SELECT SUM(credit) FROM c WHERE a.id = c.a_id)
, (SELECT SUM(other) FROM d WHERE a.id = d.a_id)
FROM a
Hi I have following select statement
select
a.amount
,b.des
,a.id
,SUM(a.amount) as total
,b.id
from t_sales a
left outer join t_location b on(b.id=a.orgId)
where a.Id=#salesId and
a.sId=#supId
GROUP BY a.amount, b.des, a.Id,b.id;
Everything is working fine, except total. I am trying to get total of a.amount which is returning 15 values so I want to have total of all 15 values. Please let me know how to fix it.
Thanks
You should remove a.amount column from select list ( aggregate column should not exists in select list)
select b.des, a.id, a.amount ,SUM(a.amount) over(partition by 1) as total, b.id from t_sales a left outer join t_location b on(b.id=a.orgId)
where a.Id=#salesId and a.sId=#supId GROUP BY b.des, a.Id, b.id;
Please try:
select
a.amount
,b.des
,a.id
,SUM(a.amount) over(partition by 1) as total
,b.id
from t_sales a
left outer join t_location b on(b.id=a.orgId)
where
a.Id=#salesId and
a.sId=#supId;
Can you try
select a.amount, b.des, a.id, b.id,
(select sum(a.amount)
from t_sales a
left outer join t_location b on (b.id = a.orgId)
where a.Id = #salesId
and a.sId = #supId
GROUP BY b.des, a.Id, b.id) as total
from t_sales a
left outer join t_location b on (b.id = a.orgId)
where a.Id = #salesId
and a.sId = #supId
GROUP BY a.amount, b.des, a.Id, b.id;