I'm trying to use DB Browser for SQLite to construct a nested query to determine the SECOND highest priced item purchased by the top 10 spenders. The query I have to pick out the top 10 spenders is:
SELECT user_id, max(item_total), SUM (item_total + shipping_cost -
discounts_applied) AS total_spent
FROM orders AS o
WHERE payment_reject = "FALSE"
GROUP BY user_id
ORDER BY total_spent DESC
LIMIT 10
This gives the user_id, most expensive item they purchased (not counting shipping or discounts) as well as the total amount they spent on the site.
I was trying to use a nested query to generate a list of the second most expensive items they purchased, but keep getting errors. I've tried
SELECT user_id, MAX(item_total) AS second_highest
FROM orders
WHERE item_total < (SELECT user_id, SUM (item_total + shipping_cost -
discounts_applied) AS total_spent
FROM orders
WHERE payment_reject = "FALSE"
GROUP BY user_id
ORDER BY total_spent DESC
LIMIT 10)
group by user_id
I keep getting a row value misused error. Does anyone have pointers on this nested query or know of another way to find the second highest item purchased from within the group found in the first query?
Thanks!
(Note: The following assumes you're using Sqlite 3.25 or newer since it uses window functions).
This will return the second-largest item_total for each user_id without duplicates:
WITH ranked AS
(SELECT DISTINCT user_id, item_total
, dense_rank() OVER (PARTITION BY user_id ORDER BY item_total DESC) AS ranking
FROM orders)
SELECT user_id, item_total FROM ranked WHERE ranking = 2;
You can combine it with your original query with something like:
WITH ranked AS
(SELECT DISTINCT user_id, item_total
, dense_rank() OVER (PARTITION BY user_id ORDER BY item_total DESC) AS ranking
FROM orders),
totals AS
(SELECT user_id
, sum (item_total + shipping_cost - discounts_applied) AS total_spent
FROM orders
WHERE payment_reject = 0
GROUP BY user_id)
SELECT t.user_id, r.item_total, t.total_spent
FROM totals AS t
JOIN ranked AS r ON t.user_id = r.user_id
WHERE r.ranking = 2
ORDER BY t.total_spent DESC, t.user_id
LIMIT 10;
Okay, after fixing your table definition to better reflect the values being stored in it and the stated problem, and fixing the data and adding to it so you can actually get results, plus an optional but useful index like so:
CREATE TABLE orders (order_id INTEGER PRIMARY KEY
, user_id INTEGER
, item_total REAL
, shipping_cost NUMERIC
, discounts_applied NUMERIC
, payment_reject INTEGER);
INSERT INTO orders(user_id, item_total, shipping_cost, discounts_applied
, payment_reject) VALUES (9852,60.69,10,0,FALSE),
(2784,123.91,15,0,FALSE), (1619,119.75,15,0,FALSE), (9725,151.92,15,0,FALSE),
(8892,153.27,15,0,FALSE), (7105,156.86,25,0,FALSE), (4345,136.09,15,0,FALSE),
(7779,134.93,15,0,FALSE), (3874,157.27,15,0,FALSE), (5102,108.3,10,0,FALSE),
(3098,59.97,10,0,FALSE), (6584,124.92,15,0,FALSE), (5136,111.06,10,0,FALSE),
(1869,113.44,20,0,FALSE), (3830,129.63,15,0,FALSE), (9852,70.69,10,0,FALSE),
(2784,134.91,15,0,FALSE), (1619,129.75,15,0,FALSE), (9725,161.92,15,0,FALSE),
(8892,163.27,15,0,FALSE), (7105,166.86,25,0,FALSE), (4345,146.09,15,0,FALSE),
(7779,144.93,15,0,FALSE), (3874,167.27,15,0,FALSE), (5102,118.3,10,0,FALSE),
(3098,69.97,10,0,FALSE), (6584,134.92,15,0,FALSE), (5136,121.06,10,0,FALSE),
(1869,123.44,20,0,FALSE), (3830,139.63,15,0,FALSE);
CREATE INDEX orders_idx_1 ON orders(user_id, item_total DESC);
the above query will give:
user_id item_total total_spent
---------- ---------- -----------
7105 156.86 373.72
3874 157.27 354.54
8892 153.27 346.54
9725 151.92 343.84
4345 136.09 312.18
7779 134.93 309.86
3830 129.63 299.26
6584 124.92 289.84
2784 123.91 288.82
1619 119.75 279.5
(If you get a syntax error from the query now, it's because you're using an old version of sqlite that doesn't support window functions.)
I'm wondering if I can use an OLAP Function to filter irrelevant rows like this:
If I have one matching value (the fourth fields) all the rows with the same key ( the first 3 fields) must not be displayed
In this example, the matching value would be 'C':
Entities product ID Solde
997 0050 123 D
997 0050 123 D
997 0050 123 C
899 0124 125 D
899 0124 125 D
So here My key is composed by entities/product/ID, regarding the value of "Solde" I need to display or not.
Here the the undesired value is Solde = C.
In this example only the last row should be diplayed, because the key 899/0124/125 has only rows with solde = 'D'
The key 997/0050/123 has one row with solde = 'C' so I don't want to display it
Thanks in advance for your helping
Christophe
Updated answer
The more traditional way to solve this is to first select the Entities/Product/ID records that you DON'T want.
SELECT Entities, Product, ID FROM table WHERE Solde<>'D';
Use that result in a subquery in your WHERE clause to exclude those:
SELECT DISTINCT Entities, Product, ID, Solde
FROM table
WHERE (Entities, Product, ID) NOT IN ( SELECT Entities, Product, ID FROM table WHERE Solde<>'D');
Alternatively using a HAVING clause and aggregating
SELECT Entities, Product, ID
FROM table
COUNT(*) = SUM(CASE WHEN Solde = 'D' THEN 1 ELSE 0 END)
GROUP BY 1,2,3
I guess you are looking for answer as the below:
SELECT Solde
FROM yourtable
QUALIFY COUNT(*) OVER (PARTITION BY Entities, Product, ID, Solde) = 1;
can some one help me...
I have to create,for each "Costumer", a iterator for a non-sequential ID to update the "version" column.
I need a cursor or something else?
Can i get some help?
Example:
ID COSTUMER VERSION
12 ANNA 1
24 ANNA 4
25 ANNA 5
60 ANNA 11
I want to correct the version to be sequential
You could use code something like this:
begin
for r in ( select id, row_number() over (partition by name order by version) as rn
from costumer
)
loop
update costumer
set version = r.rn
where id = r.id;
end loop;
end;
/
The partition by is there because I have assumed you want to have the sequence start from 1 for 'ANNA', then start from 1 again for customer 'JANE' etc. If not you can remove that part.
Here's the way to do it via a single MERGE statement:
MERGE INTO costumer tgt
USING (SELECT ID,
costumer,
VERSION,
ROWID row_id,
row_number() OVER (PARTITION BY costumer ORDER BY VERSION) new_version
FROM costumer) src
ON (tgt.rowid = src.rowid)
WHEN MATCHED THEN
UPDATE SET tgt.version = src.new_version;
The PROD_AMT I'd like to get is when ACCT_NBR, PROD_NBR And PROD_AMT are the same, I only need one PROD_AMT which is 100 (from distinct), and when ACCT_NBR are the same but PROD_NBR are different, then the PROD_AMT I need is 90 (30+60)
SELECT ACCT_NBR
,COUNT(DISTINCT CASE WHEN PROD_NBR = 1 THEN SUM(DISTINCT PROD_AMT)
WHEN PROD_NBR > 1 THEN SUM(PROD_AMT)
END) AS AMT
FROM TABLE
ACCT_NBR PROD_NBR PROD_AMT
3007 001 30
3007 002 60
1000 003 100
1000 003 100
There's probably a few ways to solve this. Using a subquery to determine which records should be summed vs which ones should be distinct, you could use:
SELECT
acct_nbr,
CASE WHEN sumflag = 'X' THEN SUM(prod_amt) ELSE MAX(prod_amt) END as amt
FROM
(
SELECT
acct_nbr,
prod_nbr,
prod_amt,
CASE WHEN COUNT(*) OVER (PARTITION BY Acct_nbr, prod_nbr, prod_amt) = 1 THEN 'X' ELSE NULL END AS sumflag
FROM
table
)t1
GROUP BY acct_nbr, sumflag
I'm just using MAX() here since it doesn't matter... all the values that will be aggregated with max() we know are duplicates, so it's a wash.
You could get similar results with a UNION query where one query would do the summing in the event that the records are distinct, and the other would just return distinct prod_amt's where the records are duplicates.
While the above example is nice if you truly have different aggregation needs depending on complex logic, for your question there's a simpler way of doing the same thing that doesn't use window functions:
SELECT
acct_nbr,
sum(prod_amt) AS amt
FROM
(
SELECT DISTINCT
acct_nbr,
prod_amt
FROM
table
)t1
GROUP BY 1
If you need to adapt this to a complex statement you could just sling your complex statement in as subquery where table is above like:
SELECT
acct_nbr,
sum(prod_amt) AS amt
FROM
(
SELECT DISTINCT
acct_nbr,
prod_amt
FROM
(
YOUR REALLY COMPLEX QUERY GOES IN HERE
)t2
)t1
GROUP BY 1
I need some help to build SQL Query. I have table having data like:
ID Date Name
1 1/1/2009 a
2 1/2/2009 b
3 1/3/2009 c
I need to get result something like...
1 1/1/2009 a
2 1/2/2009 b
3 1/3/2009 c
4 1/4/2009 Null
5 1/5/2009 Null
6 1/6/2009 Null
7 1/7/2009 Null
8 1/8/2009 Null
............................
............................
............................
30 1/30/2009 Null
31 1/31/2009 Null
I want query something like..
Select * from tbl **where month(Date)=1 AND year(Date)=2010**
Above is not completed query.
I need to get all the record of particular month, even if some date missing..
I guess there must be equi Join in the query, I am trying to build this query using Equi join
Thanks
BIG EDIT
Now understand the OPs question.
Use a common table expression and a left join to get this effect.
DECLARE #FirstDay DATETIME;
-- Set start time
SELECT #FirstDay = '2009-01-01';
WITH Days AS
(
SELECT #FirstDay as CalendarDay
UNION ALL
SELECT DATEADD(d, 1, CalendarDay) as CalendarDay
FROM Days
WHERE DATEADD(d, 1, CalendarDay) < DATEADD(m, 1, #FirstDay)
)
SELECT DATEPART(d,d.CalendarDay), **t.date should be (d.CalendarDay)**, t.Name FROM Days d
LEFT JOIN tbl t
ON
d.CalendarDay = t.Date
ORDER BY
d.CalendarDay;
Left this original answer at bottom
You need DATEPART, sir.
SELECT * FROM tbl WHERE DATEPART(m,Date) = 1
If you want to choose month and year, then you can use DATEPART twice or go for a range.
SELECT * FROM tbl WHERE DATEPART(m,Date) = 1 AND DATEPART(yyyy,Date) = 2009
Range :-
SELECT * FROM tbl WHERE Date >= '2009-01-01' AND Date < '2009-02-01'
See this link for more info on DATEPART.
http://msdn.microsoft.com/en-us/library/ms174420.aspx
You can use less or equal to.
Like so:
select * from tbl where date > '2009-01-01' and date < '2009-02-01'
However, it is unclear if you want month 1 from all years?
You can check more examples and functions on "Date and Time Functions" from MSDN
Create a temporary table containing all days of that certain month,
Do left outer join between that table and your data table on tempTable.month = #month.
now you have a big table with all days of the desired month and all the records matching the proper dates + empty records for those dates who have no data.
i hope that's what you want.