I have a date into format YYYYMM. Data type is int. I need to make query where every time it will return me last 3 months, but without current one. For example I have data for months below
201510
201509
201508
201507
Query should return all records for 201509, 201508, 201507.
I was trying lot of solutions founded in internet like this one:
My goal is to show the most recent 12 months of data including the current month based on a patients discharge date (relative to the query execution time). There could be many years of data so I want to be sure I am pulling the most recent 12 monthsThis seems to work (on the surface anyway … not quite sure if this is the best logic to use).
I have a table with sample data as shown in the table below. for each month end date, I need to aggregate (sum) all the quantities for each product and customer and include the current month plus the past 12 months (including current month).Â
For example, for customer C123, P123 and for 7/31/2015, the query should add 7/31/2015 quantity and the quantity for 1/31/2015.Â
DECLARE @TEMP TABLE (Customer VARCHAR (10), Product VARCHAR(10), Month_end_date DATE, Quantity INT) INSERT INTO @TEMP VALUES ('C123','P123','1/31/2015',10) INSERT INTO @TEMP VALUES ('C124','P124','2/28/2015',20) INSERT INTO @TEMP VALUES ('C125','P125','3/31/2015',30) INSERT INTO @TEMP VALUES ('C126','P126','4/30/2015',40)
[Code] ....
the output for the above example should be C123Â P123Â 7/31/2015 Â 70+10=80
I have table A(year int, month int, user varchar(20)), and I am trying to write a view that would show number of distinct users in the last 3 months, last 6 months, last 9 months and last 12 months(all from the most recent year/month)Â in following format:
3 months   6 months   9 months   12  months
number of distinct users     x          y          z            w
CREATE TABLE Car ( carId Char (20) NOT NULL, model Char (20) NOT NULL, importDate smalldatetime NOT NULL, custId Varchar (50) NOT NULL, CONSTRAINT Car_PK PRIMARY KEY (carId));
I have simple query that works fine if I write it every time. I want to get this one time group by each year and week ending. here us the query:
Select count(distinct ID) from table1 where year<=2015 and WeekEnding<='05/09'
Select count(distinct ID) from table1 where year<=2015 and WeekEnding<='05/16'
Select count(distinct ID) from table1 where year<=2015 and WeekEnding<='05/23'
How can I get the count for each week year and each week ending? Weekending 05/16 will include ID's from weekending 05/09 as well and week ending 05/23 will include all the ID's from 05/16 and 05/09 and so on...
I need to find the missing months in a table for the earliest and latest start dates per ID_No.  As an example:
create table #InputTable (ID_No int ,OccurMonth datetime) insert into #InputTable (ID_No,OccurMonth)Â select 10, '2007-11-01' Union all select 10, '2007-12-01' Union all select 10, '2008-01-01' Union all select 20, '2009-01-01' Union all select 20, '2009-02-01' Union all select 20, '2009-04-01' Union all select 30, '2010-05-01' Union all select 30, '2010-08-01' Union all select 30, '2010-09-01' Union all select 40, '2008-03-01'
I am trying to build various reports that compares data over time. I have one that measures Year Over Year % difference for number of incoming projects. I managed to do that easily by calculating the following
Where Projects is the metric in question, TrendData is the table that contains project data and CalendateDate is the Date Table. But now I am trying to compare the same YTD projects data to number of projects that came in the last 6 months. How do our projects compare to average number of projects that came in last 6 month period.
I tried the the DATEADD function instead but got no luck and data came out wrong!
Hi, i am trying to create a t-sql statement that will retrieve last months data (ie. if i run the query on 9th August, i only want to retrieve Julys data, 1st Sept will retrieve all of Augusts data etc). The query will be used once a month to populate a table, can anyone advise me on the correct where clause to use ?
I have the following SSAS MDX query, currently taking a From & To date. How would I alter the MDX below so that just the prior 3 months data was returned for a chart of balances. I do not wish to retain the date parameters
SELECT NON EMPTY { [Measures].[EOD Book Balance] } ON COLUMNS, NON EMPTY { ([Time].[Simple Date].[Simple Date].ALLMEMBERS * [Products].[Product ID].[Product ID].ALLMEMBERS ) } DIMENSION PROPERTIES MEMBER_CAPTION, MEMBER_UNIQUE_NAME ON ROWS FROM ( SELECT ( STRTOMEMBER(@FromTimeDate, CONSTRAINED) : STRTOMEMBER(@ToTimeDate, CONSTRAINED) ) ON COLUMNS FROM ( SELECT ( { [Products].[Product Type].&[Term] } ) ON COLUMNS FROM ( SELECT ( { [Book Balance Type].[Balance Type].&[Credit Balance] } ) ON COLUMNS FROM [DailyBalances]))) WHERE ( [Book Balance Type].[Balance Type].&[Credit Balance], [Products].[Product Type].&[Term] ) CELL PROPERTIES VALUE, BACK_COLOR, FORE_COLOR, FORMATTED_VALUE, FORMAT_STRING, FONT_NAME, FONT_SIZE, FONT_FLAGS
I have a Report Parameter Non-queried list for all months (Labels January, Februari... and Values 01,02...). When I pick a month in my report all works fine But I would also like to have data for the complete year (via an All selection) How should I get this done . Any help appreciated Edwin
Hi, I need to write a select query to get last six months data from a table , on monthly wise.Can anyone help me in writing this query I am using sql server 2000.
I need to extract records for the last day of previous months (Up till January of the same year) from a table SALES, according to a date parameter ASOFDATE that the user enters.
For Example
If user keys in ASOFDATE as 10-May-2014, I would have
I have the following query:SELECT Month, Sum(Hits) AS Hits FROM tblHits GROUP BY Month ORDER BYMonthUnfortunately it only returns rows for months that have data assignedto them.How can I tweak this so that months 1-12 are returned, and Hits = 0 formonths with no data in the base table?Thanks.
I have 5 TB of data in production and my development team requested to restore only last month data(<=500 MB ) in staging server and last 2 months data in pre production.
I am working in sqlserver 2008 R2 and below is my sample research query. I am trying to get previous 6 months data.
WITH CutomMonths AS ( SELECT UPPER(convert(VARCHAR(3), datename(month, DATEADD(MM, DATEDIFF(MM, 0, GETDATE()) - N, 0)))) Month ,DATEADD(MM, DATEDIFF(MM, 0, GETDATE()) - N, 0) startdate ,DATEADD(MM, DATEDIFF(MM, 0, GETDATE()) - N + 1, 0) enddate FROM ( VALUES (1)
[Code] ...
Current output what i am getting:
Expected Output:
I found why the April month i didn't get the $20 because the startdate of my perks CTE '2014-04-03'. If it is '2014-04-01' then i will get the expected output.
But i should not change the the date on perks. How to neglect this date issue and consider the month instead to get the expected output.
I have a table with Million plus records. Due to Running Totals article, I have been able to calculate the Trial_Balance for all months.
Now I am trying to provide a Beginning Balance for all months and the Logic is the Beginning Balance of July would be the Trial_Balance of June. I need to be able to do this for multiple account types. So the two datasets that need to be included in logic is actindx and Calendar_Month.
For actindx of 2 and Calendar_Month of 2014-01-01The Trial_Balance_Debit is 19585.46 This would make the Beginning_Balance of actindx 2 and Calendar_Month of 2014-02-01 19585.46
I am trying to do some type of self join, but not sure how to include each actindx number differently.
Table creation and data insert is below.
SET ANSI_NULLS ON GO
SET QUOTED_IDENTIFIER ON GO
SET ANSI_PADDING ON GO
CREATE TABLE [dbo].[TrialBalance]( [Trial_Balance_ID] [int] IDENTITY(1,1) NOT NULL,
I have a table with dates and values and other columns. In a proc i need to get the result as Month and the values for all the months whether or not the data exists for the month.
The Similar table would be-
create table testing( DepDate datetime, val int) insert into testing values ('2014-01-10 00:00:00.000', 1) insert into testing values ('2014-05-19 00:00:00.000', 10) insert into testing values ('2014-08-15 00:00:00.000', 20) insert into testing values ('2014-11-20 00:00:00.000', 30)
I am studying indexes and keys. I have a table that has a fixed width of data to be loaded in the first column which is parsed in a view based on data types within the fixed width specifications.
Example column A: (name phone house cost of house,zipcodecountystatecountry) -a view will later split this large varchar string based column b: is the source filename of the data load (varchar 256) ....
a. would there be a benefit of adding a clustered or nonclustered index (if so which/point in direction on why)
b. is there benefit of making one of these two columns a primary key (millions of records) or for adding a 3rd new column as a pk?
c. view: this parses the data in column a so it ends up looking more like "name phone house cost of house zipcode county state country" each having their own column.
-any pros/cons of adding indexes (if so which) to the view instead of the tables or both for once the data is parsed?
I am trying to import data from an excel Sheet to SQL Database using OPENROWSET. After import I found that all the cells containing data of more than 2000 length got truncated to  255 characters only. I tried finding the solution and found that We need to have the data with length more than 255 in first 8 rows of Excel sheet. It worked for me also. But In real scenario the data that I cant do the manual work on excel. I tried out with Dot Net utility and SSIS package also but the truncation is still the issue.
INSERT into tmp_Test SELECT * FROM OPENROWSET('Microsoft.ACE.OLEDB.12.0','Excel 12.0;Database=D:Book1.xlsx', [Sheet1$])
I have a simple table data i want want to show row data in to column data. Â Â Â Â Â Â SELECT clblcode,mlblmsg FROM warninglabels
My expected result will beÂ
0001                0002 0003                      0004 -------               ------- --------                   -------- May Cause....       Important..... Take madi...........         Do Not Take.......
I need to create SQL to convert multiple rows data to single row for given subscriber#. Below is the example. In below example , I've 4 family members with same subscriber # and each members have separate rows, I want to combine member data for same subscriber in 1 row, so there would be a 1 row for each subscriber.Â
I need to get all the data based on the user selection of the months. So, I will provide a dropdown will all list of the months. When user pick the month, for example January, then I will show all the invoice on January. How to get the month of the year in the where clause in T-SQL? TIA
I have a question i am confused very much with i am doing on MTD Average , i really need some help with code.
the logic behind the code is
3 MTD should be the past two completed months as well as the dates in the current month as well. So taking the example above – if the reporting period for Feb was 01/30/2007 to 02/27/2007, and March was 02/28/2007 to 03/27/2007, the 3 MTD should then be the average from 01/30/2007 to 04/10/2007.
This code does not actually gives me the exact value, please advise on any correction to the code , or a new way to write the code.
