Filter based on the count of value

Hi All,
I have the table below and want to show the prop_code if the rent_review_date count is less than 1 in 12 months. This means to show only propcode if there has not been any rent update since the first rent_review_date. For few prop_code the rent was
updated twice on the same day and we need to take the max for that date using time.
DECLARE @table TABLE
( Prop_Code INT
,Current_Rent INT
,Revised_Rent INT
,Rent_Review_Date varchar(10)
,Rent_Review_Time DATEtime)
INSERT INTO @table (PROP_CODE,Current_Rent,Revised_Rent,Rent_Review_Date,Rent_Review_Time) VALUES
(2977,372,339.15,'2013-07-08','7:44')
,(2977,372,339.15,'2013-07-03','11:01')
,(2977,372,372,'2014-06-30','9:07')
,(2977,372,372,'2014-07-07','11:06')
,(2981,372,372,'2014-07-07','11:06')
,(2981,372,340.15,'2013-07-08','7:23')
,(2981,372,314.15,'2013-07-08','7:44')
,(2981,372,340.15,'2013-07-29','7:16')
,(3089,205.63,400,'2014-10-27','8:38')
,(3089,205.63,205.63,'2014-02-03','8:29')
,(3089,205.63,127.64,'2014-01-20','0:52')
,(3089,205.63,123.02,'2013-08-12','8:28')
,(3089,205.63,205.63,'2014-12-15','8:46')
,(3109,252.62,198,'2014-01-20','0:52')
,(3109,252.62,252.62,'2014-04-07','8:30')
,(3109,252.62,198,'2013-08-12','8:28')
,(3117,284.96,336,'2014-04-21','1:03')
,(3125,267.53,267.53,'2014-02-03','8:29')
Select * from @table
Thanks
Jag

>> I have the table below and want to show the property_id if the rent_review_date count is less than 1 in 12 months. This means to show only property_id if there has not been any rent update since the first rent_review_date. For few property_id
the rent was updated twice on the same day and we need to take the max for that date using time. <<
Thank you for trying to post DDL. But it is wrong. Why do you think that “table” is a valid table name? Please do not use DECLARE..TABLE. You have no key or constraints. You have no way to have a key! You split a time stamp! You cast a date as a string! You
have a money amount as an INTEGER! And then posted decimal to it!
You put a comma at the start of each line of SQL. We do not do that, but old punch card programmer do (I was one!). I bet you do not even know why! What you call a property_code looks like a property_id. Why was it a string? What math do you do on it? None!
CREATE TABLE Rentals
(prop_id CHAR(4) NOT NULL,
current_rent DECIMAL(8,2) NOT NULL,
revised_rent DECIMAL(8,2) NOT NULL,
rent_review_timestamp DATETIME2(0) NOT NULL,
PRIMARY KEY (propery_id, rent_review_timestamp))
INSERT INTO Rentals
VALUES
('2977' 372.00, 339.15, '2013-07-08 07:44:00'),
('2977' 372.00, 339.15, '2013-07-03 11:01:00'),
('2977' 372.00, 372.00, '2014-06-30 09:07:00'),
('2977' 372.00, 372.00, '2014-07-07 11:06:00'),
('2981', 372.00, 372.00, '2014-07-07 11:06:00'),
('2981', 372.00, 340.15, '2013-07-08 07:23:00'),
('2981', 372.00, 314.15, '2013-07-08 07:44:00'),
('2981', 372.00, 340.15, '2013-07-29 07:16:00'),
('3089', 205.63, 400.00, '2014-10-27 08:38:00'),
('3089', 205.63, 205.63, '2014-02-03 08:29:00'),
('3089', 205.63, 127.64, '2014-01-20 00:52:00'),
('3089', 205.63, 123.02, '2013-08-12 08:28:00'),
('3089', 205.63, 205.63, '2014-12-15 08:46:00'),
('3109', 252.62, 198.00, '2014-01-20 00:52:00'),
('3109', 252.62, 252.62, '2014-04-07 08:30:00'),
('3109', 252.62, 198.00, '2013-08-12 08:28:00'),
('3117', 284.96, 336.00, '2014-04-21 01:03:00'),
('3125', 267.53, 267.53, '2014-02-03 08:29:00');
My SQL Server crashed, so this is untested. I am guessing at the specs, too.
WITH Last_Rent_Change (property_id, last_rent_change)
AS
(SELECT property_id, MAX (rent_review_timestamp)
FROM Rentals
WHERE rent_review_timestamp BETWEEN CAST (CURRENT_TIMESTAMP AS DATE)
AND DATEADD( YEAR, -1, CAST (CURRENT_TIMESTAMP AS DATE))
GROUP BY propery_id
HAVING COUNT(*) > 1)
SELECT R.*
FROM Last_Rent_Change AS L, Rentals AS R
WHERE R.property_id = L.property_id ;
Most of the work in SQL is in the DDL. Once it is right, the DML is usually easy.
--CELKO-- Books in Celko Series for Morgan-Kaufmann Publishing: Analytics and OLAP in SQL / Data and Databases: Concepts in Practice Data / Measurements and Standards in SQL SQL for Smarties / SQL Programming Style / SQL Puzzles and Answers / Thinking
in Sets / Trees and Hierarchies in SQL

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