I have a table that contain some Inspection Data. Every commodity needs to be inspected every month. The goal here is to find the last inspected record for each month.
Table Inspection:
INSPECTION_I--------INSPECTION_TS
200--------------------------- 10/20/2011
201----------------------------10/24/2011
202----------------------------10/26/2011
Table Product_Inspection:
INSPECTION_I------------------ASSET_I
200------------------------------------1000
201------------------------------------2000
Table Box_Inspection
INSPECTION_I--------ASSET_I
202------------------------3000
Table Product
ASSET_I------------ASSOCIATED_BOX_ASSET_I
1000---------------------------3000
Table BOX:
ASSET_I------------OTHER_STUFF
3000--------------------#####
Now in this case what I want is 201 and not 200. I tried to do MAX(to_char(inspection_ts, 'mm/yyyy')) but that is not helping. There is one more issue. For some reason, I keep getting the Cartesian in a case where a Product or a Box is inspected twice or more in a month. All I want is one inspection every month and it should be the last inspection for each month. I am really close to getting it but if someone can help, I would really appreciate it. I was able to get it done through a nested cursor but I don't want that.
I tend to use analytic functions to do this kind of query. Something like:
with data as
(
select 1 product_id, 100 inspection_id, to_date('09/04/2011', 'MM/DD/YYYY') inspection_date from dual union all
select 1 product_id, 101 inspection_id, to_date('09/14/2011', 'MM/DD/YYYY') inspection_date from dual union all
select 1 product_id, 103 inspection_id, to_date('10/04/2011', 'MM/DD/YYYY') inspection_date from dual union all
select 1 product_id, 105 inspection_id, to_date('11/01/2011', 'MM/DD/YYYY') inspection_date from dual union all
select 2 product_id, 102 inspection_id, to_date('09/24/2011', 'MM/DD/YYYY') inspection_date from dual union all
select 2 product_id, 104 inspection_id, to_date('10/05/2011', 'MM/DD/YYYY') inspection_date from dual
)
select *
from
(
select
product_id,
inspection_id,
inspection_date,
row_number() over (
partition by
product_id,
trunc(inspection_date, 'MM') -- Month
order by
inspection_date desc
) rn
from
data
)
where rn = 1 -- indicates last inspection date of the month for each product
use a subquery
Select [ColName List]
From TableName a
Where DateTimeColumname
= (Select Max(DateTimeColumnName)
From TableName
Where DateTimeColumnName < 1+Last_Day(a.DateTimeColumnName))
Related
Hi I just want to ask how to resolve this problem.
Example in the query indicated below.
In the next query I will prepare, I want to filter the last 7 days of the delivery date. Do not use current_date because the maximum date is very late.
Assuming the current date is 7/12/2022 but the query shows a maximum date of 7/07/2022. How can I filter the date from 7/1/2022 to 7/07/2022?
, Datas1 as
(select distinct (delivery_due_date) as delivery_date
, Specialist
, Id_number
, Staff_Total as Total_Items
from joining
where Delivery_Due_Date is not null
)
Actually I used max function in where but I get an error. Please help me.
Created Examples of such data in first block.
Performed the select on that data in second block.
Extracted Maximum Delivery data in 3rd Block.
Restricted last block for 7 days of data collected from 3rd block.
WITH joining AS(
SELECT '2022-07-01' AS delivery_due_date, 'ABC' as Specialist,222 as Id_number, 21 as Staff_Total union all
SELECT '2022-07-07' AS delivery_due_date, 'ABC2' as Specialist,223 as Id_number, 01 as Staff_Total union all
SELECT '2022-07-15' AS delivery_due_date, 'ABC4' as Specialist,212 as Id_number, 25 as Staff_Total union all
SELECT '2022-07-20' AS delivery_due_date, 'AB5C' as Specialist,224 as Id_number, 15 as Staff_Total union all
SELECT '2022-07-05' AS delivery_due_date, 'ABC7' as Specialist,226 as Id_number, 87 as Staff_Total ),
Datas1 as (select distinct (delivery_due_date) as delivery_date , Specialist
, Id_number , Staff_Total as Total_Items from joining where Delivery_Due_Date is not null ),
Datas2 as (
select max(delivery_date) as ddd from Datas1)
select Datas1.* from Datas1,Datas2 where date(delivery_date) between date_sub(date(Datas2.ddd), interval 7 day) and date(Datas2.ddd)
I want to fetch customers balances at the maximum date of every month, in every year in database. The Balance table has balances at the end of everyday when customer does transaction.
I just want to pick the balance at the maximum date of every month.Any help??
Below is a snip of My dataset.
You can try using window function - row_number()
select * from
(
SELECT *,row_number() over(partition by extract(YEAR FROM Date), extract(MONTH FROM Date) order by date desc) as rn
FROM t
)rn=1
You can do it also without a sub-query:
WITH b(ID, "date",bal) AS
(
SELECT 'CUST_I',DATE '2013-07-27', 14777.44 FROM dual UNION ALL
SELECT 'CUST_H',DATE '2013-07-26', 71085.13 FROM dual UNION ALL
SELECT 'CUST_I',DATE '2013-08-27', 66431.35656 FROM dual UNION ALL
SELECT 'CUST_H',DATE '2013-08-26', 63102.68622 FROM dual UNION ALL
SELECT 'CUST_H',DATE '2013-08-20', 6310.68622 FROM dual UNION ALL
SELECT 'CUST_H',DATE '2013-08-10', 630.68622 FROM dual UNION ALL
SELECT 'CUST_G',DATE '2013-09-25', 89732.04889 FROM dual UNION ALL
SELECT 'CUST_E',DATE '2013-09-23', 83074.70822 FROM dual
)
SELECT ID,
MAX("date") KEEP (DENSE_RANK FIRST ORDER BY "date" desc) AS MAX_DATE,
MAX(bal) KEEP (DENSE_RANK FIRST ORDER BY "date" desc) AS MAX_BAL
FROM b
GROUP BY ID, TRUNC("date", 'MM');
+-----------------------------+
|ID |MAX_DATE |MAX_BAL |
+-----------------------------+
|CUST_E|23.09.2013|83074.70822|
|CUST_G|25.09.2013|89732.04889|
|CUST_H|26.07.2013|71085.13 |
|CUST_H|26.08.2013|63102.68622|
|CUST_I|27.07.2013|14777.44 |
|CUST_I|27.08.2013|66431.35656|
+-----------------------------+
You may use a self join for your table call cust_balances :
select c1.*
from cust_balances c1
join
(
select max("date") max_date
from cust_balances
group by to_char("date",'yyyymm')
) c2 on ( c1."date" = c2.max_date );
SQL Fiddle Demo
I want to use for loop for date in my table which only cares years and months, not days.
CURSOR ret_cur is SELECT orderdate FROM Orders WHERE status
= 'DELAYED';
ret_rec ret_cur%ROWTYPE;
I currently have
insert into Orders(OrderId, CustomerId, RetailerId, ProductId, Count,
UnitPrice, OrderDate, Status) values (2,2,1,10,45,60,
to_date('20180102','YYYYMMDD'),'DELIVERED');
this data type in my orders table. (its an example for format)
I want to use DISTINCT to iterate through orderdate based on YYYY-MM. (dont care Day)
I have tried select distinct to_char(orderdate, 'YYYY-MM') but I seems to not work.
for example, if i have 20180103, 20180104, 20180105 , it should be one iteration since they all have same years and months.
To select days without time you could tunc(sysdate). For months we have to group by a char-value:
select to_char(mydatecol,'yyyymm'), count(*) from
(
select sysdate mydatecol from dual UNION ALL -- Fake-Table with some dates
select sysdate - 1 mydatecol from dual UNION ALL
select sysdate - 2 mydatecol from dual UNION ALL
select sysdate - 3 mydatecol from dual UNION ALL
select sysdate - 4 mydatecol from dual UNION ALL
select sysdate - 30 mydatecol from dual UNION ALL
select sysdate - 31 mydatecol from dual UNION ALL
select sysdate - 32 mydatecol from dual UNION ALL
select sysdate - 33 mydatecol from dual
)
group by to_char(mydatecol,'yyyymm')
Result:
201809 3
201810 6
I think you'd like to have such a collation as below :
with Orders
(
OrderId, CustomerId, RetailerId, ProductId,
Count, UnitPrice, OrderDate, Status
) as
(
select 2,2,1,10,45,60, to_date('20180102','YYYYMMDD'),'DELIVERED' from dual
)
select o.*
from Orders o
where to_char(OrderDate,'yyyy-mm')
= to_char(to_date('&myDate','yyyymmdd'),'yyyy-mm');
-- for "myDate" substitution variable use 20180103 or 20180104 or 20180105 .. etc.
The best way todo this kind of query is to truncate the date value:
SELECT CustomerId, trunc(OrderDate,'MM') OrderMonth
, sum(Count) totalCount
, sum(Count*UnitPrice) totalPrice
FROM Orders
GROUP BY CustomerId, trunc(OrderDate,'MM')
for example...
Need Suggestion to make it dynamic On Dates.
Expected:
Date, Total Sellers, Sellers From Previous Date
Currently:
Data in table(active_seller_codes): date, seller_code
Queries:
-- Date Wise Sellers Count
select date,count(distinct seller_code) as Sellers_COunt
from active_seller_codes where date between '2016-12-15' AND '2016-12-15'
-- Sellers from previous Days
select date,count(distinct seller_code) as Last_Day_Seller
from active_seller_codes
where date between '2016-12-15' AND '2016-12-15'
and seller_code IN(
select seller_code from active_seller_codes
where date between '2016-12-14' AND '2016-12-14'
)
group by 1
Database Using: Vertica
Reading attentively, you seem to want one row in the report, with the data from the search date in the first two columns and the data of the day before the search date in the third and fourth column, like so:
sales_date|sellers_count|prev_date |prev_sellers_count
2016-12-15| 8|2016-12-14| 5
The solution could be something like this (without the first Common Table Expression, which, in my case, contains the data, but in your case, the data would be in your active_seller_codes table.
WITH
-- initial input
(sales_date,seller_code) AS (
SELECT DATE '2016-12-15',42
UNION ALL SELECT DATE '2016-12-15',43
UNION ALL SELECT DATE '2016-12-15',44
UNION ALL SELECT DATE '2016-12-15',45
UNION ALL SELECT DATE '2016-12-15',46
UNION ALL SELECT DATE '2016-12-15',47
UNION ALL SELECT DATE '2016-12-15',48
UNION ALL SELECT DATE '2016-12-15',49
UNION ALL SELECT DATE '2016-12-14',42
UNION ALL SELECT DATE '2016-12-14',44
UNION ALL SELECT DATE '2016-12-14',46
UNION ALL SELECT DATE '2016-12-14',48
UNION ALL SELECT DATE '2016-12-14',50
UNION ALL SELECT DATE '2016-12-13',42
UNION ALL SELECT DATE '2016-12-13',43
UNION ALL SELECT DATE '2016-12-13',44
UNION ALL SELECT DATE '2016-12-13',45
UNION ALL SELECT DATE '2016-12-13',46
UNION ALL SELECT DATE '2016-12-13',47
UNION ALL SELECT DATE '2016-12-13',48
UNION ALL SELECT DATE '2016-12-13',49
)
,
-- search argument this, in the real query, would come just after the WITH keyword
-- as the above would be the source table
search_dt(search_dt) AS (SELECT DATE '2016-12-15')
,
-- the two days we're interested in, de-duped
distinct_two_days AS (
SELECT DISTINCT
sales_date
, seller_code
FROM active_seller_codes
WHERE sales_date IN (
SELECT search_dt FROM search_dt -- the search date
UNION ALL SELECT search_dt - 1 FROM search_dt -- the day before
)
)
,
-- the two days we want one above the other,
-- with index for the final pivot
vertical AS (
SELECT
ROW_NUMBER() OVER (ORDER BY sales_date DESC) AS idx
, sales_date
, count(DISTINCT seller_code) AS seller_count
FROM distinct_two_days
GROUP BY 2
)
SELECT
MAX(CASE idx WHEN 1 THEN sales_date END) AS sales_date
, SUM(CASE idx WHEN 1 THEN seller_count END) AS sellers_count
, MAX(CASE idx WHEN 2 THEN sales_date END) AS prev_date
, SUM(CASE idx WHEN 2 THEN seller_count END) AS prev_sellers_count
FROM vertical
;
sales_date|sellers_count|prev_date |prev_sellers_count
2016-12-15| 8|2016-12-14| 5
I'm trying unsuccessfully to calculate a MAU- monthly distinct active users, by using window functions.
I need the calculation for each day during the month, for the preceding 30 days
This is what I have so far:
select
t.datee
, t.app,i.sourcee
, i.campaign
, t.mobile
, sum(count(distinct t.user_id)) over (
PARTITION BY
date_trunc('month',datee)
, t.app
, i.sourcee
, i.campaign
, t.mobile
ORDER BY datee asc
ROWS BETWEEN 30 PRECEDING AND CURRENT ROW
)
FROM dim_x i
JOIN agg_y t
ON i.app=t.app
AND i.mobile=t.mobile
WHERE t.datee>=CURRENT_DATE-30
AND t.datee<CURRENT_DATE
GROUP BY 1,2,3,4,5
order by 1 desc
But all I get is a sum of active users by all days instead of sum of distinct users. I'm using Vertica db.
Any suggestions?
I'm not getting, really, why you should need an OLAP expression for that.
Aren't you looking for the total number of distinct users per:
year-month combination out of datee
app
sourcee (whatever that might be)
campaign
mobile (probably mobile number)
?
A simple GROUP BY would do, as far as I'm concerned. If I disregard sourcee, campaign and mobile, selecting just from one table: input for argument's sake, with some sample data I just made up, this query:
SELECT
YEAR(datee) * 100 + MONTH(datee) AS yearmonth
, app
, COUNT(DISTINCT user_id) AS monthly_active_users
FROM input
GROUP BY 1,2
ORDER BY 1
;
... would return:
YEARMONTH|app |monthly_active_users
201,601|app-a| 2
201,601|app-b| 2
201,602|app-a| 2
201,602|app-b| 2
201,603|app-a| 2
201,603|app-b| 2
201,604|app-a| 2
201,604|app-b| 2
201,605|app-a| 2
201,605|app-b| 2
201,606|app-a| 1
201,606|app-b| 1
Just editing my previous answer. You seem to need the running COUNT DISTINCT of user id-s , partitioned by several expressions.
With the input from the WITH clause below, would you need a report like this (only showing the first 12 rows of 53, ordered by datee, app)?
datee |app |user_id |running_active_users
2016-01-01|app-a|arthur | 1
2016-01-04|app-b|ford | 1
2016-01-07|app-a|trillian| 2
2016-01-10|app-b|zaphod | 2
2016-01-13|app-a|arthur | 2
2016-01-16|app-b|ford | 2
2016-01-19|app-a|trillian| 2
2016-01-22|app-b|zaphod | 2
2016-01-25|app-a|arthur | 2
2016-01-28|app-b|ford | 2
2016-01-31|app-a|trillian| 2
2016-02-03|app-b|zaphod | 2
?
If that's the case, I don't see the reason for existence of your GROUP BY clause, though.
Below is the query with GROUP BY as above with test data returning the results above in a WITH clause. Regard that input as the join between your two tables.
WITH
input(datee,app,user_id) AS (
SELECT DATE '2016-01-01','app-a','arthur'
UNION ALL SELECT DATE '2016-01-04','app-b','ford'
UNION ALL SELECT DATE '2016-01-07','app-a','trillian'
UNION ALL SELECT DATE '2016-01-10','app-b','zaphod'
UNION ALL SELECT DATE '2016-01-25','app-a','arthur'
UNION ALL SELECT DATE '2016-01-28','app-b','ford'
UNION ALL SELECT DATE '2016-03-04','app-b','ford'
UNION ALL SELECT DATE '2016-03-25','app-a','arthur'
UNION ALL SELECT DATE '2016-04-09','app-b','ford'
UNION ALL SELECT DATE '2016-04-30','app-a','arthur'
UNION ALL SELECT DATE '2016-05-06','app-a','trillian'
UNION ALL SELECT DATE '2016-05-09','app-b','zaphod'
UNION ALL SELECT DATE '2016-05-15','app-b','ford'
UNION ALL SELECT DATE '2016-06-05','app-a','arthur'
UNION ALL SELECT DATE '2016-01-13','app-a','arthur'
UNION ALL SELECT DATE '2016-01-16','app-b','ford'
UNION ALL SELECT DATE '2016-01-31','app-a','trillian'
UNION ALL SELECT DATE '2016-02-03','app-b','zaphod'
UNION ALL SELECT DATE '2016-02-06','app-a','arthur'
UNION ALL SELECT DATE '2016-02-09','app-b','ford'
UNION ALL SELECT DATE '2016-02-12','app-a','trillian'
UNION ALL SELECT DATE '2016-02-15','app-b','zaphod'
UNION ALL SELECT DATE '2016-02-18','app-a','arthur'
UNION ALL SELECT DATE '2016-02-21','app-b','ford'
UNION ALL SELECT DATE '2016-02-24','app-a','trillian'
UNION ALL SELECT DATE '2016-02-27','app-b','zaphod'
UNION ALL SELECT DATE '2016-03-01','app-a','arthur'
UNION ALL SELECT DATE '2016-03-10','app-b','zaphod'
UNION ALL SELECT DATE '2016-03-13','app-a','arthur'
UNION ALL SELECT DATE '2016-03-16','app-b','ford'
UNION ALL SELECT DATE '2016-03-28','app-b','ford'
UNION ALL SELECT DATE '2016-03-31','app-a','trillian'
UNION ALL SELECT DATE '2016-04-06','app-a','arthur'
UNION ALL SELECT DATE '2016-04-12','app-a','trillian'
UNION ALL SELECT DATE '2016-04-15','app-b','zaphod'
UNION ALL SELECT DATE '2016-04-27','app-b','zaphod'
UNION ALL SELECT DATE '2016-05-03','app-b','ford'
UNION ALL SELECT DATE '2016-05-27','app-b','ford'
UNION ALL SELECT DATE '2016-05-30','app-a','trillian'
UNION ALL SELECT DATE '2016-01-19','app-a','trillian'
UNION ALL SELECT DATE '2016-01-22','app-b','zaphod'
UNION ALL SELECT DATE '2016-03-07','app-a','trillian'
UNION ALL SELECT DATE '2016-03-19','app-a','trillian'
UNION ALL SELECT DATE '2016-03-22','app-b','zaphod'
UNION ALL SELECT DATE '2016-04-03','app-b','zaphod'
UNION ALL SELECT DATE '2016-04-18','app-a','arthur'
UNION ALL SELECT DATE '2016-04-21','app-b','ford'
UNION ALL SELECT DATE '2016-04-24','app-a','trillian'
UNION ALL SELECT DATE '2016-05-12','app-a','arthur'
UNION ALL SELECT DATE '2016-05-18','app-a','trillian'
UNION ALL SELECT DATE '2016-05-21','app-b','zaphod'
UNION ALL SELECT DATE '2016-05-24','app-a','arthur'
UNION ALL SELECT DATE '2016-06-02','app-b','zaphod'
)
SELECT
YEAR(datee) * 100 + MONTH(datee) AS YEARMONTH
, app
, COUNT(DISTINCT user_id) AS monthly_active_users
FROM input
GROUP BY 1,2
ORDER BY 1
;