I have an issue concerning conversion in SSIS.
I'm trying to convert StartDATE from DT_WSTR to Datetime2 (for SQL Server)
My date originaly looks like this 20140804 but I need to convert it to Datetime2 in such format 2014-08-04 00:00:00.0000000.
What I've done earlier with the StartDATE Column is:
RTRIM(DATSTHYRA)
Since I need to remove blank spaces...
I figured I can use the already Derived Column and add a new expression to convert it to Datetime2 but I'm running into issues and can't really find a topic online that covers my issue.
You can do it in a single step.
Add Derived Column transformation - transform your YYYYMMDD string to YYYY-MM-DD with SUBSTRING functions and then - cast to DT_DBTIMESTAMP2 with scale needed. This would yield an expression like
(DT_DBTIMESTAMP2, 7)(SUBSTRING([StartDATE],1,4) + "-" + SUBSTRING([StartDATE],5,2)
+ "-" + SUBSTRING([StartDATE],7,2))
Then configure Error Output on this Derived Column transformation to capture and handle conversion errors.
In SSIS, you can use data conversion transformation, the data type mapping is database timestamp with precisionin SSIS is for datetime2 in SQL Server.
Related
I'm trying to add a named calculation field in ssas project, the following expression works with sql server datasource not with an oracle one :
convert(datetime,convert(date,DATE_HR_INSC),110)
Thank you!
I guess you would like to convert your date value into string using format 110, which means mm-dd-yyyy (12-30-2019).
The way to do it in oracle is:
to_char(date,'mm-dd-yyyy')
The first inner step of this SQL Server code is casting DATE_HR_INSC to a date. Then, this is being converted to a datetime with format mask 110. I'm not sure this makes sense, and I would instead have expected to see the following:
CONVERT(varchar, CONVERT(date, DATE_HR_INSC), 110)
This would have generated a datetime with the format mm-dd-yyyy. We can try to approximate this in Oracle using the TO_DATE and TO_CHAR functions. Something like this:
TO_CHAR(TO_DATE(DATE_HR_INSC, 'yyyy-mm-dd'), 'mm-dd-yyyy')
Demo
This assumes that DATE_HR_INSC is in yyyy-mm-dd format. If its format is something else, then replace the mask used in the call to TO_DATE above.
I have a field in an AS400 table which is a Numeric (decimal 8) field. Within this, dates are stored YYYYMMDD format, such as 20180518.
I then have a stage table in MS SQL Server that I am dumping this data to before processing. The destination column is of type Date.
I am having trouble getting the SSIS package to pass the values accordingly. What we've tried doing is pulling apart the numeric field as a string, and grabbing the sub-strings. Then concatenating the sections to assemble a MM/DD/YYYY formatted string.
substring(myfield,5,2) || '-' || substring(myfield,7,2) || '-' || substring(myfield,1,4)
We also tried using the Date() function on the AS400..
Date(substring(myfield,1,4) || '-' || substring(myfield,5,2) || '-' || substring(myfield,7,2))
With neither of these options working, I then tried using the SSIS conversion tool to perform the task. I changed my query back to just pull the field in, and then pass it to a data conversion tool. Within the tool, it first sees the column as a decimal.
[Input Column][Output Alias][Data Type]
[myfield ][AliasMyField][decimal[DT_DECIMAL]]
I then changed this to be
[Input Column][Output Alias][Data Type]
[myfield ][AliasMyField][date[DT_DATE]]
It seems no matter which avenue we attempt the package will not execute, and I keep getting:
Conversion failed because the data value overflowed the specified type.
You don't need to grab any substrings. If you insert a String in YYYYMMDD format into a SQL Server datetime field, it will insert with no problem, regardless of your regional settings.
EDIT: A definite way to solve this is to have your dataflow import the data to a staging table that receives the 8-digit date into a varchar field without any modifications.
Then move the data to the final table using a TRY_CONVERT() to convert the varchar to a datetime, or NULL if it's unable to convert a particular value.
probably have an invalid date "numbers", 20180229, 20171305, 00000000 or 99999999...
or it could be a valid date for the i, but not SQL server, 00010101 or 99991231 for instance (unless you're using the newer date or datetime2 types)
You need a function that does the conversion and catches the conversion error substitutes a valid date or returns NULL if that's acceptable.
When NULL isn't acceptable, I usually do something like
< 00010101 ==> 00010101
> 99991231 ==> 99991231
= xxxx0229 ==> xxxx0228
Those are the easy ones...any others you have to decide for yourself
In SQL server I have a column that stores dates of this format:
2017-06-22T00:43:15+0300
as strings.
What I'm trying to do is cast these strings into actual datatimeoffset data in order to handle them as dates.
So far I have found multiple function for converting from datetimeoffset to other timestamp formats but none of these refer to strings.
https://learn.microsoft.com/en-us/sql/t-sql/data-types/datetimeoffset-transact-sql
Exactly the same problem arises on a postgresql database. The best I have managed to achieve so far is just truncate the timezone and convert the rest of the string into timestamp. Ideally, I would like not to use such a lossy transformation.
Time Zone Offset in Sql Server is represented like this
[+|-] hh:mm:
In your data semicolon is missing in the offset part
DECLARE #stringtime VARCHAR(100)= '2017-06-22T00:43:15+0300'
SET #stringtime = Reverse(Stuff(Reverse(#stringtime), 3, 0, ':'))
SELECT Cast(#stringtime AS DATETIMEOFFSET(4))
Result : 2017-06-22 00:43:15.0000 +03:00
Postgres :
to_timestamp('2017-06-22T00:43:15+0300', 'YYYY-MM-DD HH24:MI:SS')
you can try using that postgres function.
I have a TimeStamp (varchar(50),null) column in my SQL Server 2008 table which looks misleading by the name TimeStamp. I mean it appears as if it's a datatype timestamp but it's varchar.
But it has values like 201403240004 which looks like a date. Can I convert it into date and use?
Read online that timestamp is only a sequence of numbers and has nothing to do with date and time.
You can.
Providing that the format is YYYYMMDDHHmm, a simple way to do that would be:
SELECT CONVERT(DATETIME,
SUBSTRING([TimeStamp],1,4)+'-'+SUBSTRING([TimeStamp],5,2)+'-'
+SUBSTRING([TimeStamp],7,2)+' '+SUBSTRING([TimeStamp],9,2)+':'
+SUBSTRING([TimeStamp],11,2)+':00.000')
FROM Table
This will take this "timestamp" and first transform it to SQL-readable datetime string, i.e. for your example it would be 2014-03-24 00:04:00.000. Then, it will be easily converted to datetime.
Yes, your column should be convertible to DATETIME, but you may have to do the converison yourself if CONVERT() does support the format.
I can't tell from you example what the time format really is.
If it is YYYYMMDDHHMM them
SELECT CONVERT(DATETIME,LEFT('201403240004',8),112)
+CONVERT(DATETIME,SUBSTRING('201403240004',9,2)+ ':' + RIGHT('201403240004',2)+':00' ,108)
I'm using Mono 2.10.8.1 on Ubuntu 12.04 Server.
I'm using an ADO.net TableAdapter to grab data from SQL Server 2008. When I encounter a Date column, Mono gives the following error:
No mapping exists from SqlDbType Date to a known DbType.
I'm not entirely sure what Mono uses for DB access (FreeTDS/etc) so I'm not 100% sure where to even start my search for a solution.
An obvious solution would be to simply change the column in the DB to DateTime, but since it is in production I do not have that option.
Has anybody else encountered this error before?
Thanks
In your TableAdapter SQL statement, try casting or converting the field being returned as a date to a datetime or, if necessary, to a varchar field with the necessary formatting. You can achieve this by doing the following:
Select field1
, field2
, CAST(date_field as datetime) as New_datetime_field
, CONVERT(varchar(10),date_field,101) as New_varchar_field --stored as MM/DD/YYYY string
From Table
Doing this will now cause the field returned by the query or stored procedure to be recognized as SQL as a datetime or varchar field. It should then be passed on using the TableAdapter as a datetime or varchar field. Using the convert statement, you can convert a date into any number of formats (see here for more information).