I am using Oracle SQL and I would like to insert a time value (eg 15:45 or 15:45:00) into a column which has a data type of TIMESTAMP. I have tried the following but It gives a error about it not being a valid month.
INSERT trainTbl(Dest, trainTime)
VALUES
('Waterloo', '15:00:00');
Would appreciate if someone could put me on the right direction.
Thanks
Oracle's TIMESTAMP data type holds a complete time and date. You cannot use it to store a time only; either store a complete time and date, or use a different data type for your column.
Some options for ways to store the time only are discussed in How to store only time; not date and time?. However, if you're already storing the date in another column, you should probably just store this information together. There is a reason Oracle provides the data types that it does.
Related
I want to start by saying my SQL knowledge is limited (the sololearn SQL basics course is it), and I have fallen into a position where I am regularly asked to pull data from the SQL database for our ERP software. I have been pretty successful so far, but my current problem is stumping me.
I need to filter my results by having the date match from 2 separate tables.
My issue is that one of the tables outputs DATETIME with full time data. e.g. "2022-08-18 11:13:09.000"
While the other table zeros the time data. e.g. "2022-08-18 00:00:00.000"
Is there a way I can on the fly convert these to just a DATE e.g. "2022-08-18" so I can set them equal and get the results I need?
A simple CAST statement should work if I understand correctly.
CAST( dateToConvert AS DATE)
I currently have a database that is a time series but instead of a actual time for the header of each column in just gives me Period_1, Period_2 ect.
How do I Rename all of these column headers but also convert them to datetimes in seconds starting from 0 - whatever number?
Thank you!
I'm confused why you'd want column headers as the actual dates. That doesn't seem like it is any sort of Time Series Database with which I'm familiar. Typically a timestamp (as a data type) is a column. Not a column for each distinct timestamp. That way madness lies.
For a good example of a time series database, check out QuestDB
I am using SSIS to insert 500 to 3+ million rows into various tables. The data source is anything from a flat CSV file to another DB (Oracle, MySQL, SQL Server).
I am trying to create an "inserted_on" column that shows the date/time stamp of when the row was added and I need it to be precise enough to differentiate between the previous and next row. In other words, every row should have a different date time value, even if its really close.
I tried a datetime2(7) field with a default value of (gettime()) but that doesn't seem precise enough.
As described in this answer, you should use timestamp.
See documentation here or additional details available here.
Hope this help.
I need two comparisons in my Sql server, One between Dates and One between Times. I'm using C# and Sql Server and Linq-to-sql. I want to store two time fields (Enter-Time, Exit-Time). Now I want to get the difference (e.g. 12:30 , 18:15 the difference is 5:45). What Data Type should I use? I have the same issue with Dates, I want to get the difference of two Dates but "DateTime" Data Type stores redundant data about time, I just need date. I want the easiest way with the least code possible. I'm currently saving like this "1045" when I fetch it I add a ":" to the middle and it becomes "10:45" and there are lot's of problems this way.
If you need to store dates, you can use the date datatype. Similarly for times, you can use the time datatype.
To compute the difference, you can use the DATEDIFF() sql function that returns the difference between two dates: http://msdn.microsoft.com/en-us/library/ms189794.aspx
I would advise against storing your data as a string, int etc. Use the datatypes as they are intended.
For storing the data, you can use a Date type, or Time type. Once you do this the TimeSpan structure can be used (in your application) to measure differences in time/dates. If you subtract one date from another then you will receive a TimeSpan object back.
var difference = Date1.Subtract(Date2);
Is it best practice to split a dateTime in two datetime SQL columns?
For example, 2010-12-17 01:55:00.000 is put in two colums,
one column containing a datetime for
the date portion: 2010-12-17 00:00:00.000
one column containing a datetime
for the time portion: 1900-01-01 01:55:00.000
I'm being told this is best practice because at some point SQL 2000 didn't allow to put time in a date? and that there are even data storage standards that enforce this and that some companies have ensure that all their data is stored in that manner to comply to some data storage standards?
If this is the case, I'm sure someone heard about it here, any of this sounds familiar?
In sql server 2008 you have date and time data types so this becomes a non issue. datetime always allowed for time even back in sql server 6 and 7
the reason people split it up is because with everything in 1 column a query that returns all orders placed between 3 and 4 PM for any day requires a scan, with a time column this can be accomplished with a seek (much, much faster)
Starting in SQL 2005 I would do only one column.
If you wanted this information to be Sargable I would use computed columns instead. This way you can query on date or time or both and your application code is only responsible for maintaining the one column.
I know this is old, but another reason you might want to keep separate is for user input (and GenEric said in a comment that this is for time management). If you allow users to enter date/time as separate fields, and you want to be able to save the data with either field being empty, it is nice to have 2 separate null-able fields in your database. Otherwise I guess you either have to resort to kludges where certain date values equal "empty" or add extra bit fields as "no time / no date" flags.