TABLE 2 : trip_delivery_sales_lines
+-------+---------------------+------------+----------+------------+-------------+--------+--+
| Sl no | Order_date | Partner_id | Route_id | Product_id | Product qty | amount | |
+-------+---------------------+------------+----------+------------+-------------+--------+--+
| 1 | 2020-08-01 04:25:35 | 34567 | 152 | 432 | 2 | 100 | |
| 2 | 2021-09-11 02:25:35 | 34572 | 130 | 312 | 4 | 150 | |
| 3 | 2020-05-10 04:25:35 | 34567 | 152 | 432 | 3 | 123 | |
| 4 | 2021-02-16 01:10:35 | 34572 | 130 | 432 | 5 | 123 | |
| 5 | 2020-02-19 01:10:35 | 34567 | 152 | 432 | 2 | 600 | |
| 6 | 2021-03-20 01:10:35 | 34569 | 152 | 123 | 1 | 123 | |
| 7 | 2021-04-23 01:10:35 | 34570 | 152 | 432 | 4 | 200 | |
| 8 | 2021-07-08 01:10:35 | 34567 | 152 | 432 | 3 | 32 | |
| 9 | 2019-06-28 01:10:35 | 34570 | 152 | 432 | 2 | 100 | |
| 10 | 2018-11-14 01:10:35 | 34570 | 152 | 432 | 5 | 20 | |
| | | | | | | | |
+-------+---------------------+------------+----------+------------+-------------+--------+--+
From Table 2 : we had to find partners in route=152 and find the sum of product_qty of the last 2 sale [can be selected by desc order_date]
. We can find its result in table 3.
34567 – Serial number [ 1,8]
34570 – Serial number [ 7,9]
34569 – Serial number [6]
TABLE 3 : RESULT OBTAINED FROM TABLE 1,2
+------------+-------+
| Partner_id | count |
+------------+-------+
| 34567 | 5 |
| 34569 | 1 |
| 34570 | 6 |
| | |
+------------+-------+
From table 4 we want to find the above partner_ids leaf count
TABLE 4 :coupon_leaf
+------------+-------+
| Partner_id | Leaf |
+------------+-------+
| 34567 | XYZ1 |
| 34569 | XYZ2 |
| 34569 | DDHC |
| 34567 | DVDV |
| 34570 | DVFDV |
| 34576 | FVFV |
| 34567 | FVV |
| | |
+------------+-------+
From that we can find result as:
34567 – 3
34569-2
34570 -1
TABLE 5: result obtained from TABLE 4
+------------+-------+
| Partner_id | count |
+------------+-------+
| 34567 | 3 |
| 34569 | 2 |
| 34570 | 1 |
| | |
+------------+-------+
Now we want compare table 3 and 5
If partner_id count [table 3] > partner_id count [table 4]
Print partner_id
I want a single query to do all these operation
distinct partner_id can be found by: fROM TABLE 1
SELECT DISTINCT partner_id
FROM trip_delivery_sales ts
WHERE ts.route_id='152'
GROUP BY ts.partner_id
This answers the original version of the problem.
You seem to want to compare totals after aggregating tables 2 and 3. I don't know what table1 is for. It doesn't seem to do anything.
So:
select *
from (select partner_id, sum(quantity) as sum_quantity
from (select tdsl.*,
row_number() over (partition by t2.partner_id order by order_date) as seqnum
from trip_delivery_sales_lines tdsl
) tdsl
where seqnum <= 2
group by tdsl.partner_id
) tdsl left join
(select cl.partner_id, count(*) as leaf_cnt
from coupon_leaf cl
group by cl.partner_id
) cl
on cl.partner_id = tdsl.partner_id
where leaf_cnt is null or sum_quantity > leaf_cnt
I am trying to create an indicator for if a particular transaction was the first time a part was purchased from a particular vendor.
I have a dataset that looks like this:
| transaction_id | vendor_id | part_id | trans_date |
|:--------------:|:---------:|:-------:|:-----------------:|
| 9Bx*2Pc' | a | 873 | 10/12/2018 |
| 1Po.4Ot, | a | 473 | 4/22/2016 |
| 9Sk"7Kv/ | b | 123 | 7/23/2016 |
| 2Lz&7Hu& | a | 873 | 12/20/2017 |
| 8Lz)5Is# | b | 743 | 10/22/2016 |
| 5Sc'6Jl/ | a | 113 | 10/6/2016 |
| 0Ra&8Hb& | a | 653 | 10/4/2017 |
| 4Wc-8Of* | c | 333 | 8/3/2017 |
| 8Vv+9Yo/ | c | 333 | 12/7/2016 |
| 6Qh!1Ha- | c | 333 | 3/28/2017 |
| 2Ol%4Rs# | c | 333 | 5/2/2017 |
| 1Gg#8Cm% | c | 333 | 11/15/2016 |
| 0Lw(6Pv/ | d | 873 | 8/13/2017 |
| 1Gy/7Zw, | a | 443 | 10/12/2018 |
| 2Gz,4Gp. | b | 103 | 1/5/2018 |
| 5Dj)6Wc+ | a | 893 | 12/17/2016 |
| 5Hl-8Ds! | a | 903 | 12/8/2017 |
| 8Ws$3Vy* | b | 873 | 1/13/2018 |
What I am looking to do is determine if the transaction_id was the first time (sorted by trans_date), that the part_id was purchased from a vendor_id. I would imagine the ideal output to look like this:
| transaction_id | vendor_id | part_id | trans_date | first_time |
|:--------------:|:---------:|:-------:|:-----------------:|:----------:|
| 9Bx*2Pc' | a | 873 | 10/12/2018 | N |
| 1Po.4Ot, | a | 473 | 4/22/2016 | Y |
| 9Sk"7Kv/ | b | 123 | 7/23/2016 | Y |
| 2Lz&7Hu& | a | 873 | 12/20/2017 | Y |
| 8Lz)5Is# | b | 743 | 10/22/2016 | Y |
| 5Sc'6Jl/ | a | 113 | 10/6/2016 | Y |
| 0Ra&8Hb& | a | 653 | 10/4/2017 | Y |
| 4Wc-8Of* | c | 333 | 8/3/2017 | N |
| 8Vv+9Yo/ | c | 333 | 12/7/2016 | N |
| 6Qh!1Ha- | c | 333 | 3/28/2017 | N |
| 2Ol%4Rs# | c | 333 | 5/2/2017 | N |
| 1Gg#8Cm% | c | 333 | 11/15/2016 | Y |
| 0Lw(6Pv/ | d | 873 | 8/13/2017 | Y |
| 1Gy/7Zw, | a | 443 | 10/12/2018 | Y |
| 2Gz,4Gp. | b | 103 | 1/5/2018 | Y |
| 5Dj)6Wc+ | a | 893 | 12/17/2016 | Y |
| 5Hl-8Ds! | a | 903 | 12/8/2017 | Y |
| 8Ws$3Vy* | b | 873 | 1/13/2018 | Y |
So far, I have tried (which was influenced by this post):
WITH
first_instance AS (
SELECT
tbl_trans.*,
ROW_NUMBER() OVER (PARTITION BY vendor_id||part_id ORDER BY trans_date) AS row_nums
FROM
tbl_trans
)
SELECT
x.*,
CASE WHEN y.row_nums = 1 THEN 'Y' ELSE 'N' END AS first_time_indicator
FROM
tbl_trans x
LEFT JOIN first_instance y
But I am met with:
ORA-00905: missing keyword
I have created a SQL FIDDLE with this data and the query thus far for testing. How can I determine the if a transaction was a first time purchase for a part/vendor combination?
Use window functions:
select t.*,
(case when row_number() over (partition by vendor_id, part_id order by trans_date) = 1
then 'Y' else 'N'
end) as first_time
from tbl_trans t;
You don't need a join.
Apart from row_number, there are multiple ways of achieving the desired result using analytical function as follows.
You can use first_value analytical function as follows:
Select t.*,
Case
when first_value(trans_date)
over (partition by vendor_id, part_id order by trans_date) = trans_date
then 'Y'
else 'N'
end as first_time
From your_table t;
The same way, you can also use min as follows:
Select t.*,
Case
when min(trans_date)
over (partition by vendor_id, part_id) = trans_date
then 'Y'
else 'N'
end as first_time
From your_table t;
I have a table with 3 columns ordernum, username, and amount. I want to select its rows and show an additional column expected.
The rule for calculating the expected column is as follows:
These rows same OrderNum value will be ranking again based on amount column (Desc order). I don't know how I can describe, but the expected result is shown below :(
I tried with RANK() and ROW_NUMBER(), but have not been able to properly apply above algorithm.
This is my table declaration:
CREATE TABLE data
(
ordernum INT,
username NVARCHAR(30),
amount MONEY
);
This is my table content:
+----------+----------+------------+
| ORDERNUM | USERNAME | AMOUNT |
+----------+----------+------------+
| 1 | test01 | 18382.5079 |
| 1 | test02 | 10476.0000 |
| 1 | test03 | 8128.0000 |
| 1 | test04 | 6680.0000 |
| 1 | test05 | 5388.9673 |
| 1 | test06 | 5356.0000 |
| 12 | test07 | 2806.0000 |
| 12 | test08 | 2806.0000 |
| 12 | test09 | 2806.0000 |
| 14 | test10 | 2530.0000 |
| 15 | test11 | 2330.0000 |
| 16 | test12 | 2183.0000 |
| 16 | test13 | 2182.0000 |
| 17 | test14 | 2000.0000 |
| 18 | test15 | 1621.0000 |
+----------+----------+------------+
And this is my expected result:
+----------+----------+------------+----------+
| ORDERNUM | USERNAME | AMOUNT | EXPECTED |
+----------+----------+------------+----------+
| 1 | test01 | 18382.5079 | 1 |
| 1 | test02 | 10476.0000 | 2 |
| 1 | test03 | 8128.0000 | 3 |
| 1 | test04 | 6680.0000 | 4 |
| 1 | test05 | 5388.9673 | 5 |
| 1 | test06 | 5356.0000 | 6 |
| 12 | test07 | 2806.0000 | 12 |
| 12 | test08 | 2806.0000 | 12 |
| 12 | test09 | 2806.0000 | 12 |
| 14 | test10 | 2530.0000 | 15 |
| 15 | test11 | 2330.0000 | 16 |
| 16 | test12 | 2183.0000 | 17 |
| 16 | test13 | 2182.0000 | 18 |
| 17 | test14 | 2000.0000 | 19 |
| 18 | test15 | 1621.0000 | 20 |
+----------+----------+------------+----------+
Here is a fiddle for the problem: https://dbfiddle.uk/?rdbms=sqlserver_2019&fiddle=4014cb469a9ec8f57ded5a5e0e60adaf
This should work.
select
OrderNum,
Username,
Amount,
RANK() over (order by OrderNum) as Expected
from yourTable
I am having following three tables
products
------------------
| id | name |
------------------
| 1 | Ariel |
| 2 | Milk |
------------------
price_list
-----------------------
| id | name |
-----------------------
| 1 | Trade Price |
| 2 | Net Price |
| 3 | Retail Price |
-----------------------
product_prices (it has only two records for product 'Ariel')
----------------------------------------------
| id | product_id | price_list_id | price |
----------------------------------------------
| 1 | 1 | 1 | 100 |
| 2 | 1 | 2 | 110 |
----------------------------------------------
Desired Result:
------------------------------------------------------------
| id | product_name | prices |
------------------------------------------------------------
| | | | id | price_list_name | price | |
| 1 | Ariel | -------------------------------- |
| | | | 1 | Trade Price | 100 | |
| | | | 2 | Net Price | 110 | |
| | | | 3 | Retail Price | null | |
| | | -------------------------------- |
| | | | id | price_list_name | price | |
| 2 | Milk | -------------------------------- |
| | | | 1 | Trade Price | null | |
| | | | 2 | Net Price | null | |
| | | | 3 | Retail Price | null | |
-------------------------------- |
------------------------------------------------------------
I tried following query to get a cross between products and price_list
SELECT p.id,
p.NAME,
pl.id,
pl.NAME
FROM products p
CROSS JOIN price_list pl
WHERE pl.id NOT IN (SELECT product_id
FROM product_prices)
Any idea how to achieve the desired result?
I think something like this. I changed the names of the fields and tables for short. I also display all the fields.
select * from t1 cross join t2 left join t3 on t1.id = t3.t1_id and t2.id = t3.t2_id order by t1.id, t2.id;
+----+-------+----+--------------+------+-------+-------+-------+
| id | name | id | name | id | t1_id | t2_id | price |
+----+-------+----+--------------+------+-------+-------+-------+
| 1 | Ariel | 1 | Trade Price | 1 | 1 | 1 | 100 |
| 1 | Ariel | 2 | Net Price | 2 | 1 | 2 | 110 |
| 1 | Ariel | 3 | Retail Price | NULL | NULL | NULL | NULL |
| 2 | Milk | 1 | Trade Price | NULL | NULL | NULL | NULL |
| 2 | Milk | 2 | Net Price | NULL | NULL | NULL | NULL |
| 2 | Milk | 3 | Retail Price | NULL | NULL | NULL | NULL |
+----+-------+----+--------------+------+-------+-------+-------+
products -> t1
price_list -> t2
product_prices -> t3
Which way we can use to check and compare the dates from one table to another.
Table : inc
+--------+---------+-----------+-----------+-------------+
| inc_id | cust_id | item_id | serv_time | inc_date |
+--------+---------+-----------+-----------+-------------+
| 1 | john | HP | 40 | 17-Apr-2015 |
| 2 | John | HP | 60 | 10-Jan-2016 |
| 3 | Nick | Cisco | 120 | 11-Jan-2016 |
| 4 | samanta | EMC | 180 | 12-Jan-2016 |
| 5 | Kerlee | Oracle | 40 | 13-Jan-2016 |
| 6 | Amir | Microsoft | 300 | 14-Jan-2016 |
| 7 | John | HP | 120 | 15-Jan-2016 |
| 8 | samanta | EMC | 20 | 16-Jan-2016 |
| 9 | Kerlee | Oracle | 10 | 2-Feb-2017 |
+--------+---------+-----------+-----------+-------------+
Table: Contract:
+-----------+---------+----------+------------+
| item_id | con_id | Start | End |
+-----------+---------+----------+------------+
| Dell | DE2015 | 1/1/2015 | 12/31/2015 |
| HP | HP2015 | 1/1/2015 | 12/31/2015 |
| Cisco | CIS2016 | 1/1/2016 | 12/31/2016 |
| EMC | EMC2016 | 1/1/2016 | 12/31/2016 |
| HP | HP2016 | 1/1/2016 | 12/31/2016 |
| Oracle | OR2016 | 1/1/2016 | 12/31/2016 |
| Microsoft | MS2016 | 1/1/2016 | 12/31/2016 |
| Microsoft | MS2017 | 1/1/2017 | 12/31/2017 |
+-----------+---------+----------+------------+
Result:
+-------+---------+---------+--------------+
| Calls | Cust_id | Con_id | Tot_Ser_Time |
+-------+---------+---------+--------------+
| 2 | John | HP2016 | 180 |
| 2 | samanta | EMC2016 | 200 |
| 1 | Nick | CIS2016 | 120 |
| 1 | Amir | MS2016 | 300 |
| 1 | Oracle | OR2016 | 40 |
+-------+---------+---------+--------------+
MY Query:
select count(inc_id) as Calls, inc.cust_id, contract.con_id,
sum(inc.serv_time) as tot_serv_time
from inc inner join contract on inc.item_id = contract.item_id
where inc.inc_date between '2016-01-01' and '2016-12-31'
group by inc.cust_id, contract.con_id
The result from inc table with filter between 1-jan-2016 to 31-Dec-2016 with
count of inc_id based on the items and its contract start and end dates .
If I understand correctly your problem, this query will return the desidered result:
select
count(*) as Calls,
inc.cust_id,
contract.con_id,
sum(inc.serv_time) as tot_serv_time
from
inc inner join contract
on inc.item_id = contract.item_id
and inc.inc_date between contract.start and contract.end
where
inc.inc_date between '2016-01-01' and '2016-12-31'
group by
inc.cust_id,
contract.con_id
the question is a little vague so you might need some adjustments to this query.
select
Calls = count(*)
, Cust = i.Cust_id
, Contract = c.con_id
, Serv_Time = sum(Serv_Time)
from inc as i
inner join contract as c
on i.item_id = c.item_id
and i.inc_date >= c.[start]
and i.inc_date <= c.[end]
where c.[start]>='20160101'
group by i.Cust_id, c.con_id
order by i.Cust_Id, c.con_id
returns:
+-------+---------+----------+-----------+
| Calls | Cust | Contract | Serv_Time |
+-------+---------+----------+-----------+
| 1 | Amir | MS2016 | 300 |
| 2 | John | HP2016 | 180 |
| 1 | Kerlee | OR2016 | 40 |
| 1 | Nick | CIS2016 | 120 |
| 2 | samanta | EMC2016 | 200 |
+-------+---------+----------+-----------+
test setup: http://rextester.com/WSYDL43321
create table inc(
inc_id int
, cust_id varchar(16)
, item_id varchar(16)
, serv_time int
, inc_date date
);
insert into inc values
(1,'john','HP', 40 ,'17-Apr-2015')
,(2,'John','HP', 60 ,'10-Jan-2016')
,(3,'Nick','Cisco', 120 ,'11-Jan-2016')
,(4,'samanta','EMC', 180 ,'12-Jan-2016')
,(5,'Kerlee','Oracle', 40 ,'13-Jan-2016')
,(6,'Amir','Microsoft', 300 ,'14-Jan-2016')
,(7,'John','HP', 120 ,'15-Jan-2016')
,(8,'samanta','EMC', 20 ,'16-Jan-2016')
,(9,'Kerlee','Oracle', 10 ,'02-Feb-2017');
create table contract (
item_id varchar(16)
, con_id varchar(16)
, [Start] date
, [End] date
);
insert into contract values
('Dell','DE2015','20150101','20151231')
,('HP','HP2015','20150101','20151231')
,('Cisco','CIS2016','20160101','20161231')
,('EMC','EMC2016','20160101','20161231')
,('HP','HP2016','20160101','20161231')
,('Oracle','OR2016','20160101','20161231')
,('Microsoft','MS2016','20160101','20161231')
,('Microsoft','MS2017','20170101','20171231');