I want a query for selecting data between two dates (p_startdt,p_enddt) which is given by the user, if there is no input then by default data of last one year will be given as output. I am not able to put case for null or no input
where invc_dt between p_startdt and p_enddt
Use NVL to handle the case of a NULL value. The following example will take start date as a year ago if p_startdt is null and p_enddt as the current date if p_enddt is null:
WHERE invc_dt
BETWEEN NVL(p_startdt,ADD_MONTHS(SYSDATE,-12)) AND
NVL(p_enddt,SYSDATE)
Note: I'm assuming the data type of the column invc_dt is DATE.
Related
I am able to filter if the date field is null or I can filter if the date field is older than now. But, I cannot combine them, nor am I able to do this or grouping for both fields.
Is there a way to group filters?
Is there a way to check if the date is null, I want all nulls OR if the date is prior to now.
This does not work:
&filter[publish_on][lte]=now&filter[publish_on][logical]=[or]&filter[publish_on][null]
I have a table with three columns: Task, Assigned To and Due Date. I want to set a filter to Due Date where every date is greater than or equal to today's date. I can't post any photos, but the filter is easy enough to understand. The filter looks like this:
Due_Date >=Today()
My problem is I want to include null or blank dates, and I'm finding this to be tricky by using SSRS filters.
How can I include all dates greater than or equal to today's date or null values?
Just add an OR with your other conditions (NULL or Blank):
=IIF(FIELDS!Due_Date.VALUE >=Today OR ISNOTHING(FIELDS!Due_Date.VALUE) OR FIELDS!Due_Date.VALUE = "", True, False)
I have a table named Sales and a column within it named Date. I'm simply trying to find how many sales were made on a specific date. My intuition was to use something like this:
SELECT COUNT(Date) FROM Sales WHERE Date='2015-04-04'
this should count all sales that were made on that date, but that returns 0. What am I doing wrong?
While it is difficult to be precise without table definitions or an indication of what RDBMS you are using, it is likely that Date is a time/date stamp, and that the result you want would be obtained either by looking for a range from the beginning of the day to the end of the day in your WHERE clause, or by truncating Date down to a date without the time before comparing it to a date.
Try the below once.
select count(*) from <t.n> where date like '2015-04-04%';
When you want to find the count of rows based on a field (Date) You need to Group By over it like this:
SELECT Date, COUNT(*)
FROM Sales
GROUP BY Date
Now you have all count of rows for each Date.
Type and Value of Date is important in the result of the above query.
For example in SQL Server your best try is to convert a DateTime field to varchar and then check it as the result of CONVERT like this:
SELECT COUNT(*)
FROM Sales
WHERE CONVERT(VARCHAR, Date, 111) = '2015/04/04'
I am proposing to have a table (the design isn't settled on yet and can be altered dependent upon the views expressed in reply to this question) that will have a primary key of type int (using auto increment) and a field (ReturnPeriod of type Nchar) that will contain data in the form of '06 2013' (representing in this instance June 2013).
I would simply like to return 06 or whatever happens to be in the last record entered in the table. This table will never grow by more than 4 records per annum (so it will never be that big). It also has a column indicating the date that the last entry was created.
That column seems to my mind at least to be the most suitable candidate for getting the last record, so essentially I'd like to know if sql has a inbuilt function for comparing the date the query is run to the nearest match in a column, and to return the first two characters of a field.
So far I have:
Select Mid(ReturnPeriod,1,2) from Returns
Where DateReturnEntered = <and this is where I'm stuck>
What I'm looking for is a where clause that would get me the last entered record using the date the query is run as its reference point(DateRetunEntered of type Date contains the date a record was entered).
Of course there may be an even easier way to guarantee that one has the last record in which case I'm open to suggestions.
Thanks
I think you should store ReturnPeriod as a datetime for example not 06 2013 as a VARCHAR but 01.06.2013 as a DATETIME (first day of 06.2013).
In this case, if I've got your question right, you can use GETDATE() to get current time:
SELECT TOP 1 MONTH(ReturnPeriod)
FROM Returns
WHERE DateReturnEntered<=GETDATE()
ORDER BY DateReturnEntered DESC
If you store ReturnPeriod as a varchar then
SELECT TOP 1 LEFT(ReturnPeriod,2)
FROM Returns
WHERE DateReturnEntered<=GETDATE()
ORDER BY DateReturnEntered DESC
I would store your ReturnPeriod as a date datatype, using a nominal 1st of the month, e.g. 1 Jun 2013, if you don't have the actual date.
This will allow direct comparison against your entered date, with trivial formatting of the return value if required.
Your query would then find the latest date prior to your date entered.
SELECT MONTH(MAX(ReturnPeriod)) AS ReturnMonth
FROM Returns
WHERE ReturnPeriod <= #DateReturnEntered
I have this simple data base:
7/2/2013
7/13/2013
I write a simple SQL statement to select the greatest date from a list of date. I try to use the (max function) as follow:
select max([P_Date]) from [BalDB].[dbo].[tab_Product]
The result was incorrect; it gives me the smallest date not the greatest as follow:
7/2/2013
So please help me to know what is the problem in my SQL statement and how can I solve it
Problem: Get the greatest date from a list of date or compare it with local date and take the greater!!
The sql max function returns the largest value of the selected column, in your case since your data type is a nvarchar the largest value is what is alphabetically larger, which in this case is 7/2/2013 (since the "2" is greater then the "1" in "13").
What you need to do is basically what #David mentioned, either chance the data type of the column or if it isn't feasible then you can cast it in your query as a datetime
For example
select max(cast([P_Date] as datetime)) from [BalDB].[dbo].[tab_Product]
The max function is making this slower than it needs to be, try this.
select top 1 convert(datetime,P_Date) from [BalDB].[dbo].[tab_Product] order by convert(datetime,P_Date) desc
Now your dates should be date types, not varchars, but for the sake of querying your data as is, this will work.