I'm trying to find an efficient way to derive the column Expected below from only Id and State. What I want is for the number Expected to increase each time State is 0 (ordered by Id).
+----+-------+----------+
| Id | State | Expected |
+----+-------+----------+
| 1 | 0 | 1 |
| 2 | 1 | 1 |
| 3 | 0 | 2 |
| 4 | 1 | 2 |
| 5 | 4 | 2 |
| 6 | 2 | 2 |
| 7 | 3 | 2 |
| 8 | 0 | 3 |
| 9 | 5 | 3 |
| 10 | 3 | 3 |
| 11 | 1 | 3 |
+----+-------+----------+
I have managed to accomplish this with the following SQL, but the execution time is very poor when the data set is large:
WITH Groups AS
(
SELECT Id, ROW_NUMBER() OVER (ORDER BY Id) AS GroupId FROM tblState WHERE State=0
)
SELECT S.Id, S.[State], S.Expected, G.GroupId FROM tblState S
OUTER APPLY (SELECT TOP 1 GroupId FROM Groups WHERE Groups.Id <= S.Id ORDER BY Id DESC) G
Is there a simpler and more efficient way to produce this result? (In SQL Server 2012 or later)
Just use a cumulative sum:
select s.*,
sum(case when state = 0 then 1 else 0 end) over (order by id) as expected
from tblState s;
Other method uses subquery :
select *,
(select count(*)
from table t1
where t1.id < t.id and state = 0
) as expected
from table t;
Related
I have a table referrals:
id | user_id_owner | firstname | is_active | user_type | referred_at
----+---------------+-----------+-----------+-----------+-------------
3 | 2 | c | t | agent | 3
5 | 3 | e | f | customer | 5
4 | 1 | d | t | agent | 4
2 | 1 | b | f | agent | 2
1 | 1 | a | t | agent | 1
And another table activations
id | user_id_owner | referral_id | amount_earned | activated_at | app_id
----+---------------+-------------+---------------+--------------+--------
2 | 2 | 3 | 3.0 | 3 | a
4 | 1 | 1 | 6.0 | 5 | b
5 | 4 | 4 | 3.0 | 6 | c
1 | 1 | 2 | 2.0 | 2 | b
3 | 1 | 2 | 5.0 | 4 | b
6 | 1 | 2 | 7.0 | 8 | a
I am trying to generate another table from the two tables that has only unique values for referrals.id and returns as one of the columns the count for each apps as best_selling_app_count.
Here is the query I ran:
with agents
as
(select
referrals.id,
referral_id,
amount_earned,
referred_at,
activated_at,
activations.app_id
from referrals
left outer join activations
on (referrals.id = activations.referral_id)
where referrals.user_id_owner = 1),
distinct_referrals_by_id
as
(select
id,
count(referral_id) as activations_count,
sum(coalesce(amount_earned, 0)) as amount_earned,
referred_at,
max(activated_at) as last_activated_at
from
agents
group by id, referred_at),
distinct_referrals_by_app_id
as
(select id, app_id as best_selling_app,
count(app_id) as best_selling_app_count
from agents
group by id, app_id )
select *, dense_rank() over (order by best_selling_app_count desc) best_selling_app_rank
from distinct_referrals_by_id
inner join distinct_referrals_by_app_id
on (distinct_referrals_by_id.id = distinct_referrals_by_app_id.id);
Here is the result I got:
id | activations_count | amount_earned | referred_at | last_activated_at | id | best_selling_app | best_selling_app_count | best_selling_app_rank
----+-------------------+---------------+-------------+-------------------+----+------------------+------------------------+-----------------------
2 | 3 | 14.0 | 2 | 8 | 2 | b | 2 | 1
1 | 1 | 6.0 | 1 | 5 | 1 | b | 1 | 2
2 | 3 | 14.0 | 2 | 8 | 2 | a | 1 | 2
4 | 1 | 3.0 | 4 | 6 | 4 | c | 1 | 2
The problem with this result is that the table has a duplicate id of 2. I only need unique values for the id column.
I tried a workaround by harnessing distinct that gave desired result but I fear the query results may not be reliable and consistent.
Here is the workaround query:
with agents
as
(select
referrals.id,
referral_id,
amount_earned,
referred_at,
activated_at,
activations.app_id
from referrals
left outer join activations
on (referrals.id = activations.referral_id)
where referrals.user_id_owner = 1),
distinct_referrals_by_id
as
(select
id,
count(referral_id) as activations_count,
sum(coalesce(amount_earned, 0)) as amount_earned,
referred_at,
max(activated_at) as last_activated_at
from
agents
group by id, referred_at),
distinct_referrals_by_app_id
as
(select
distinct on(id), app_id as best_selling_app,
count(app_id) as best_selling_app_count
from agents
group by id, app_id
order by id, best_selling_app_count desc)
select *, dense_rank() over (order by best_selling_app_count desc) best_selling_app_rank
from distinct_referrals_by_id
inner join distinct_referrals_by_app_id
on (distinct_referrals_by_id.id = distinct_referrals_by_app_id.id);
I need a recommendation on how best to achieve this.
I am trying to generate another table from the two tables that has only unique values for referrals.id and returns as one of the columns the count for each apps as best_selling_app_count.
Your question is really complicated with a very complicated SQL query. However, the above is what looks like the actual question. If so, you can use:
select r.*,
a.app_id as most_common_app_id,
a.cnt as most_common_app_id_count
from referrals r left join
(select distinct on (a.referral_id) a.referral_id, a.app_id, count(*) as cnt
from activations a
group by a.referral_id, a.app_id
order by a.referral_id, count(*) desc
) a
on a.referral_id = r.id;
You have not explained the other columns that are in your result set.
I have a table:
| id | Number |Address
| -----| ------------|-----------
| 1 | 0 | NULL
| 1 | 1 | NULL
| 1 | 2 | 50
| 1 | 3 | NULL
| 2 | 0 | 10
| 3 | 1 | 30
| 3 | 2 | 20
| 3 | 3 | 20
| 4 | 0 | 75
| 4 | 1 | 22
| 4 | 2 | 30
| 5 | 0 | NULL
I need to get: the NUMBER of the last ADDRESS change for each ID.
I wrote this select:
select dh.id, dh.number from table dh where dh =
(select max(min(t.history)) from table t where t.id = dh.id group by t.address)
But this select not correctly handling the case when the address first changed, and then changed to the previous value. For example id=1: group by return:
| Number |
| -------- |
| NULL |
| 50 |
I have been thinking about this select for several days, and I will be happy to receive any help.
You can do this using row_number() -- twice:
select t.id, min(number)
from (select t.*,
row_number() over (partition by id order by number desc) as seqnum1,
row_number() over (partition by id, address order by number desc) as seqnum2
from t
) t
where seqnum1 = seqnum2
group by id;
What this does is enumerate the rows by number in descending order:
Once per id.
Once per id and address.
These values are the same only when the value is 1, which is the most recent address in the data. Then aggregation pulls back the earliest row in this group.
I answered my question myself, if anyone needs it, my solution:
select * from table dh1 where dh1.number = (
select max(x.number)
from (
select
dh2.id, dh2.number, dh2.address, lag(dh2.address) over(order by dh2.number asc) as prev
from table dh2 where dh1.id=dh2.id
) x
where NVL(x.address, 0) <> NVL(x.prev, 0)
);
This question already has answers here:
Get top 1 row of each group
(19 answers)
Closed 2 years ago.
| ID | TimeStamp | Item |
|----|-----------|------|
| 1 | 0:00:20 | 0 |
| 1 | 0:00:40 | 1 |
| 1 | 0:01:00 | 1 |
| 2 | 0:01:20 | 1 |
| 2 | 0:01:40 | 0 |
| 2 | 0:02:00 | 1 |
| 3 | 0:02:20 | 1 |
| 3 | 0:02:40 | 1 |
| 3 | 0:03:00 | 0 |
I have this and I would like to turn it into
| ID | TimeStamp | Item |
|----|-----------|------|
| 1 | 0:01:00 | 1 |
| 2 | 0:02:00 | 1 |
| 3 | 0:03:00 | 0 |
Please advise, thank you!
A correlated subquery is often the fastest method:
select t.*
from t
where t.timestamp = (select max(t2.timestamp)
from t t2
where t2.id = t.id
);
For this, you want an index on (id, timestamp).
You can also use row_number():
select t.*
from (select t.*,
row_number() over (partition by id order by timestamp desc) as seqnum
from t
) t
where seqnum = 1;
This is typically a wee bit slower because it needs to assign the row number to every row, even those not being returned.
You need to group by id, and filter out through timestamp values descending in order to have all the records returning as first(with value 1) in the subquery with contribution of an analytic function :
SELECT *
FROM
(
SELECT *,
DENSE_RANK() OVER (PARTITION BY ID ORDER BY TimeStamp DESC) AS dr
FROM t
) t
WHERE t.dr = 1
where DENSE_RANK() analytic function is used in order to include records with ties also.
I need to select cid, project, and owner from rows in the table below where one or more rows for a cid/project combination has an owner of 1.
cid | project | phase | task | owner
-----------------------------------
1 | 1 | 1 | 1 | 1
1 | 1 | 1 | 2 | 2
1 | 1 | 1 | 3 | 2
2 | 1 | 1 | 1 | 1
2 | 1 | 1 | 2 | 1
3 | 1 | 1 | 3 | 2
My output table should look like the this:
cid | project | phase | task | owner
-----------------------------------
1 | 1 | 1 | 1 | 1
1 | 1 | 1 | 2 | 2
1 | 1 | 1 | 3 | 2
2 | 1 | 1 | 1 | 1
2 | 1 | 1 | 2 | 1
The below query is what I came up with. It does seem to test okay, but my confidence is low. Is the query an effective way to solve the problem?
select task1.cid, task1.project, task1.owner
from
(select cid, project, owner from table) task1
right join
(select distinct cid, project, owner from table where owner = 1) task2
on task1.cid = task2.cid and task1.project = task2.project
(I did not remove the phase and task columns from the sample output so that it would be easier to compare.)
You can simply use a IN clause
select cid, project, owner
from table
where cid in (select distinct id from table where owner = 1)
or a inner join with a subquery
select a.cid, a.project, a.owner
from table a
INNER JOIN ( select distinct cid , project
from table where owner = 1
) t on t.cid = a.cid and t.project = a.project
select top 20 *
from dbo.DUTs D
inner join dbo.Statuses S on d.StatusID = s.StatusID
where s.Description = 'Active'
Above SQL Query returns the top 20 rows, how can I get a nth row from the result of the above query? I looked at previous posts on finding the nth row and was not clear to use it for my purpose.
Thanks.
The row order is arbitrary, so I would add an ORDER BY expression. Then, you can do something like this:
SELECT TOP 1 * FROM (SELECT TOP 20 * FROM ... ORDER BY d.StatusID) AS d ORDER BY d.StatusID DESC
to get the 20th row.
You can also use OFFSET like:
SELECT * FROM ... ORDER BY d.StatusID OFFSET 19 ROWS FETCH NEXT 1 ROWS ONLY
And a third option:
SELECT * FROM (SELECT *, rownum = ROW_NUMBER() OVER (ORDER BY d.StatusID) FROM ...) AS a WHERE rownum = 20
I tend to use CTEs with the ROW_NUMBER() function to get my lists numbered in order. As #zambonee said, you'll need an ORDER BY clause either way or SQL can put them in a different order every time. It doesn't usually, but without ordering it yourself, you're not guaranteed to get the same thing twice. Here I'm assuming there's a [DateCreated] field (DATETIME NOT NULL DEFAULT GETDATE()), which is usually a good idea so you know when that record was entered. This says "give me everything in that table and add a row number with the most recent record as #1":
; WITH AllDUTs
AS (
SELECT *
, DateCreatedRank = ROW_NUMBER() OVER(ORDER BY [DateCreated] DESC)
FROM dbo.DUTs D
INNER JOIN dbo.Statuses S ON D.StatusID = S.StatusID
WHERE S.Description = 'Active'
)
SELECT *
FROM AllDUTs
WHERE AllDUTs.DateCreatedRank = 20;
SELECT * FROM (SELECT * FROM EMP ORDER BY ROWID DESC) WHERE ROWNUM<11
It's another sample:
SELECT * ,CASE WHEN COUNT(0)OVER() =ROW_NUMBER()OVER(ORDER BY number) THEN 1 ELSE 0 END IsNth
FROM (
select top 10 *
from master.dbo.spt_values AS d
where d.type='P'
) AS t
+------+--------+------+-----+------+--------+-------+
| name | number | type | low | high | status | IsNth |
+------+--------+------+-----+------+--------+-------+
| NULL | 0 | P | 1 | 1 | 0 | 0 |
| NULL | 1 | P | 1 | 2 | 0 | 0 |
| NULL | 2 | P | 1 | 4 | 0 | 0 |
| NULL | 3 | P | 1 | 8 | 0 | 0 |
| NULL | 4 | P | 1 | 16 | 0 | 0 |
| NULL | 5 | P | 1 | 32 | 0 | 0 |
| NULL | 6 | P | 1 | 64 | 0 | 0 |
| NULL | 7 | P | 1 | 128 | 0 | 0 |
| NULL | 8 | P | 2 | 1 | 0 | 0 |
| NULL | 9 | P | 2 | 2 | 0 | 1 |
+------+--------+------+-----+------+--------+-------+