So here is what a sample of my data look like:
ID | Amount
1111-1 | 5
1111-1 | -5
1111-2 | 5
1111-2 | -5
12R-1 | 8
12R-1 | -8
12R-3 | 8
12R-3 | -8
54A73-1| 2
54A73-1| -2
54A73-2| 2
54A73-2| -1
What I want to do is group by the string in the ID column before the dash, and find the group of IDs that have a sum of zero. The kicker is that after I find which group of IDs sum to zero, I want to add back the dash and number following the dash.
Here is what I hope the solution to look like:
ID | Amount
1111-1 | 5
1111-1 | -5
1111-2 | 5
1111-2 | -5
12R-1 | 8
12R-1 | -8
12R-3 | 8
12R-3 | -8
Notice how the IDs starting with 54A73 are not there anymore, its because the sum of their Amounts is not equal to zero.
Any help solving this questions would be much appreciated!
Here's one option joining the table back to itself after grouping by the beginning part of the id field using left and locate:
MySQL Version
select id, amount
from yourtable t
join (
select left(id, locate('-', id)-1) shortid
from yourtable
group by left(id, locate('-', id)-1)
having sum(amount) = 0
) t2 on left(t.id, locate('-', t.id)-1) = t2.shortid
SQL Fiddle Demo
Oracle Version
select id, amount
from yourtable t
join (
select substr(id, 0, instr(id,'-')-1) shortid
from yourtable
group by substr(id, 0, instr(id,'-')-1)
having sum(amount) = 0
) t2 on substr(t.id, 0, instr(t.id,'-')-1) = t2.shortid
More Fiddle
Related
My database is Db2 for IBM i.
I have read-only access, so my query must use only basic SQL select commands.
==============================================================
Goal:
I want to select every record in the table until the sum of the amount column exceeds the predetermined limit.
Example:
I want to match every item down the table until the sum of matched values in the "price" column >= $9.00.
The desired result:
Is this possible?
You may use sum analytic function to calculate running total of price and then filter by its value:
with a as (
select
t.*,
sum(price) over(order by salesid asc) as price_rsum
from t
)
select *
from a
where price_rsum <= 9
SALESID | PRICE | PRICE_RSUM
------: | ----: | ---------:
1001 | 5 | 5
1002 | 3 | 8
1003 | 1 | 9
db<>fiddle here
lets say I have a table which stores itemID, Date and total_shipped over a period of time:
ItemID | Date | Total_shipped
__________________________________
1 | 1/20/2000 | 2
2 | 1/20/2000 | 3
1 | 1/21/2000 | 5
2 | 1/21/2000 | 4
1 | 1/22/2000 | 1
2 | 1/22/2000 | 7
1 | 1/23/2000 | 5
2 | 1/23/2000 | 6
Now I want to aggregate based on several periods of time. For example, I Want to know how many of each item was shipped every two days and in total. So the desired output should look something like:
ItemID | Jan20-Jan21 | Jan22-Jan23 | Jan20-Jan23
_____________________________________________
1 | 7 | 6 | 13
2 | 7 | 13 | 20
How do I do that in the most efficient way
I know I can make three different subqueries but I think there should be a better way. My real data is large and there are several different time periods to be considered i. e. in my real problem I want the shipped items for current_week, last_week, two_weeks_ago, three_weeks_ago, last_month, two_months_ago, three_months_ago so I do not think writing 7 different subqueries would be a good idea.
Here is the general idea of what I can already run but is very expensive for the database
WITH
sq1 as (
SELECT ItemID, sum(Total_shipped) sum1
FROM table
WHERE Date BETWEEN '1/20/2000' and '1/21/2000'
GROUP BY ItemID),
sq2 as (
SELECT ItemID, sum(Total_Shipped) sum2
FROM table
WHERE Date BETWEEN '1/22/2000' and '1/23/2000'
GROUP BY ItemID),
sq3 as(
SELECT ItemID, sum(Total_Shipped) sum3
FROM Table
GROUP BY ItemID)
SELECT ItemID, sq1.sum1, sq2.sum2, sq3.sum3
FROM Table
JOIN sq1 on Table.ItemID = sq1.ItemID
JOIN sq2 on Table.ItemID = sq2.ItemID
JOIN sq3 on Table.ItemID = sq3.ItemID
I dont know why you have tagged this question with multiple database.
Anyway, you can use conditional aggregation as following in oracle:
select
item_id,
sum(case when "date" between date'2000-01-20' and date'2000-01-21' then total_shipped end) as "Jan20-Jan21",
sum(case when "date" between date'2000-01-22' and date'2000-01-23' then total_shipped end) as "Jan22-Jan23",
sum(case when "date" between date'2000-01-20' and date'2000-01-23' then total_shipped end) as "Jan20-Jan23"
from my_table
group by item_id
Cheers!!
Use FILTER:
select
item_id,
sum(total_shipped) filter (where date between '2000-01-20' and '2000-01-21') as "Jan20-Jan21",
sum(total_shipped) filter (where date between '2000-01-22' and '2000-01-23') as "Jan22-Jan23",
sum(total_shipped) filter (where date between '2000-01-20' and '2000-01-23') as "Jan20-Jan23"
from my_table
group by 1
item_id | Jan20-Jan21 | Jan22-Jan23 | Jan20-Jan23
---------+-------------+-------------+-------------
1 | 7 | 6 | 13
2 | 7 | 13 | 20
(2 rows)
Db<>fiddle.
I have a problem that I've spent way to much time trying to figure out, with close to no success at all.. I'll try to describe the problem as good as I can, and use an example, which is the solution I use right now.
I have two different MS SQL tables.
Table 1:
itemNumber - 192031, 533853 etc.
date - the date the database post was added
quantity - the amount of items for each item number
Table 2:
MTITNO - also item number, contains many different item numbers (more than Table 1)
MTTRDT - the date the database post was added
MTTYP - transaction type. I will be looking for MTTYP = 11
MTTRQT - transaction quantity. I will be looking for MTTRQT < 0
So what I want to do is to get DISTINCT itemNumber between two dates from Table 1. Once I have those item numbers, I would like to join Table 2 on item number, and also between the same dates that I use in the query for Table 1. I also need to only get the values from Table 2 where MTTYP = 11 and MTTRQT < 0 and SUM MTTRQT.
I've sorted this by using loops in java code, which isn't that good to be honest. What I do is this:
SELECT DISTINCT itemNumber "itemNumber"
FROM Table 1
WHERE date BETWEEN #fromDate AND #toDate;
Take the top value from this result (that is the first item number) and then:
SELECT Sum(MTTRQT) "SUM_MTTRQT_"
FROM Table 2
WHERE MTITNO = "the first item number from the result query from above"
AND MTTTYP = 11
AND MTTRDT BETWEEN #fromDate AND #toDate
AND MITTRA.MTTRQT < 0
Add the result to a new list. Remove the item number used
Loop through all the item numbers in the list and run step 3 and 4 for every single item number (this is the bad part).
Surely there must be a SQL query that produces the same result!?
Appreciate any help I can get!
Update:
This is the data I have.
Table 1
|Item number | Quantity | date
192031 | 1 | 20190521
192031 | 1 | 20190522
19192301 | 2 | 20190521
19189507 | 1 | 20190523
19189507 | 1 | 20190521
19189507 | 1 | 20190524
Table 2
|MTITNO | MTTRDT | MTTTYP | MTTRQT
192031 | 20190520 | 11 | -1
192031 | 20190520 | 11 | -1
192031 | 20190520 | 11 | -1
192031 | 20190520 | 11 | -1
19189507 | 20190520 | 11 | -1
19189507 | 20190520 | 11 | -1
19189507 | 20190520 | 11 | -1
19189507 | 20190520 | 11 | -1
19189507 | 20190521 | 11 | -1
19189507 | 20190521 | 11 | -1
19189507 | 20190521 | 11 | -1
Table 2 contains all sorts of item numbers (that is item numbers that you can find in Table 2, but not in Table 1), and many more posts. There can be posts in Table 1 and no posts in Table 2 for one or more item numbers.
I want to summarise the MTTRQT for all items where the item number is in both Table 1 and Table 2 and within the date span I have set. The "amount used" in the desired result below is MTTRQT added up for every single item number.
Desired result
So if I look for all the item numbers with date between 20190520 - 20190524, I should get the list below.
"Item number" is supposed to be DISTINCT item numbers from Table 1.
"Amount used" is the SUM function, that sums MTTRQT where all the conditions are met.
|Item Number | Amount used
192031 | -4
19189507 | -7
Reading through the lines a bit, but is this not what you're after?
SELECT SUM(T2.MTTRQT) AS [SUM_MTTRQT_]
FROM [Table 2] T2
LEFT JOIN (SELECT TOP (1)
T1.ItemNumber
FROM [Table 1] T1
WHERE T1.[date] BETWEEN #fromDate AND #toDate --Note, if [date] has a time portion, this is unlikely to work as you expect
ORDER BY T1.ItemNumber) T1 ON T2.MTITNO = T1.ItemNumber --Assumed ORDER BY clause
WHERE T2.MTTTYP = 11
AND T2.MTTRDT BETWEEN #fromDate AND #toDate --Note, if MTTRDT has a time portion, this is unlikely to work as you expect
AND T2.MITTRA.MTTRQT < 0;
If I am following your logic correctly:
select sum(mttrqt)
from table2 t2
where t2.mtitno in (select t1.itemno
from table1 t1
where t1.date >= #date1 and t1.date <= #date2
) and
t2.mttrdt >= #date1 and
t2.mttrdt <= #date1 and
t2.mttype = 11 and
t2.mttrqt < 10;
Have you tried this:
SELECT Sum(MTTRQT) "SUM_MTTRQT_"
FROM Table 2
WHERE MTITNO in (SELECT DISTINCT itemNumber "itemNumber"
FROM Table 1
WHERE date BETWEEN #fromDate AND #toDate;)
AND MTTTYP = 11
AND MTTRDT BETWEEN #fromDate AND #toDate
AND MITTRA.MTTRQT < 0
One of my tables in my database contains rows with requisition numbers and other related info. I am trying to create a second table (populated with an INSERT INTO statement) that duplicates these rows and adds a series value based on the value in the QuantityOrdered column.
For example, the first table is shown below:
+-------------+----------+
| Requisition | Quantity |
+-------------+----------+
| 10001_01_AD | 4 |
+-------------+----------+
and I would like the output to be as follows:
+-------------+----------+----------+
| Requisition | Quantity | Series |
+-------------+----------+----------+
| 10001_01_AD | 4 | 1 |
| 10001_01_AD | 4 | 2 |
| 10001_01_AD | 4 | 3 |
| 10001_01_AD | 4 | 4 |
+-------------+----------+----------+
I've been attempting to use Row_Number() to sequence the values but it's numbering rows based on instances of Requisition values, not based on the Quantity value.
Non-recursive way:
SELECT *
FROM tab t
CROSS APPLY (SELECT n
FROM (SELECT ROW_NUMBER() OVER(ORDER BY 1/0) AS n
FROM master..spt_values s1) AS sub
WHERE sub.n <= t.Quantity) AS s2(Series);
db<>fiddle demo
You need recursive way :
with t as (
select Requisition, 1 as start, Quantity
from table
union all
select Requisition, start + 1, Quantity
from t
where start < Quantity
)
select Requisition, Quantity, start as Series
from t;
However, by default it has limited to only 100 Quantities, if you have a more then you need to specify the query hint by using option (maxrecursion 0).
A simple method uses recursive CTEs:
with cte as (
select requsition, quantity, 1 as series
from t
union all
select requsition, quantity, 1 + series
from t
where lev < quantity
)
select requsition, quantity, series
from cte;
With default setting, this works up to a quantity of 100. For larger quantities, you can add option (maxrecursion 0) to the query.
In Mysql, I want to select the bottom 2 items from each category
Category Value
1 1.3
1 4.8
1 3.7
1 1.6
2 9.5
2 9.9
2 9.2
2 10.3
3 4
3 8
3 16
Giving me:
Category Value
1 1.3
1 1.6
2 9.5
2 9.2
3 4
3 8
Before I migrated from sqlite3 I had to first select a lowest from each category, then excluding anything that joined to that, I had to again select the lowest from each category. Then anything equal to that new lowest or less in a category won. This would also pick more than 2 in case of a tie, which was annoying... It also had a really long runtime.
My ultimate goal is to count the number of times an individual is in one of the lowest 2 of a category (there is also a name field) and this is the one part I don't know how to do.
Thanks
SELECT c1.category, c1.value
FROM catvals c1
LEFT OUTER JOIN catvals c2
ON (c1.category = c2.category AND c1.value > c2.value)
GROUP BY c1.category, c1.value
HAVING COUNT(*) < 2;
Tested on MySQL 5.1.41 with your test data. Output:
+----------+-------+
| category | value |
+----------+-------+
| 1 | 1.30 |
| 1 | 1.60 |
| 2 | 9.20 |
| 2 | 9.50 |
| 3 | 4.00 |
| 3 | 8.00 |
+----------+-------+
(The extra decimal places are because I declared the value column as NUMERIC(9,2).)
Like other solutions, this produces more than 2 rows per category if there are ties. There are ways to construct the join condition to resolve that, but we'd need to use a primary key or unique key in your table, and we'd also have to know how you intend ties to be resolved.
You could try this:
SELECT * FROM (
SELECT c.*,
(SELECT COUNT(*)
FROM user_category c2
WHERE c2.category = c.category
AND c2.value < c.value) cnt
FROM user_category c ) uc
WHERE cnt < 2
It should give you the desired results, but check if performance is ok.
Here's a solution that handles duplicates properly. Table name is 'zzz' and columns are int and float
select
smallest.category category, min(smallest.value) value
from
zzz smallest
group by smallest.category
union
select
second_smallest.category category, min(second_smallest.value) value
from
zzz second_smallest
where
concat(second_smallest.category,'x',second_smallest.value)
not in ( -- recreate the results from the first half of the union
select concat(c.category,'x',min(c.value))
from zzz c
group by c.category
)
group by second_smallest.category
order by category
Caveats:
If there is only one value for a given category, then only that single entry is returned.
If there was a unique recordID for each row you wouldn't need all the concats to simulate a unique key.
Your mileage may vary,
--Mark
A union should work. I'm not sure of the performance compared to Peter's solution.
SELECT smallest.category, MIN(smallest.value)
FROM categories smallest
GROUP BY smallest.category
UNION
SELECT second_smallest.category, MIN(second_smallest.value)
FROM categories second_smallest
WHERE second_smallest.value > (SELECT MIN(smallest.value) FROM categories smallest WHERE second.category = second_smallest.category)
GROUP BY second_smallest.category
Here is a very generalized solution, that would work for selecting first n rows for each Category. This will work even if there are duplicates in value.
/* creating temporary variables */
mysql> set #cnt = 0;
mysql> set #trk = 0;
/* query */
mysql> select Category, Value
from (select *,
#cnt:=if(#trk = Category, #cnt+1, 0) cnt,
#trk:=Category
from user_categories
order by Category, Value ) c1
where c1.cnt < 2;
Here is the result.
+----------+-------+
| Category | Value |
+----------+-------+
| 1 | 1.3 |
| 1 | 1.6 |
| 2 | 9.2 |
| 2 | 9.5 |
| 3 | 4 |
| 3 | 8 |
+----------+-------+
This is tested on MySQL 5.0.88
Note that initial value of #trk variable should be not the least value of Category field.