[ADO NET Destination [2]] Error: An exception has occurred during data insertion, the message returned from the provider is: SqlDateTime overflow. Must be between 1/1/1753 12:00:00 AM and 12/31/9999 11:59:59 PM.
I don't understand the error message from SSIS. Please I need help.
Thanks
In C#, when the data is converted from NULL to DateTime, the DataTime.MinValue = 0001-01-01, but in database, the min value is 1/1/1753, so you have to make some treatments to NULL, otherwise when inserting 0001-01-01 (converted from NULL), it will throw you that error.
It is probably problem with different date formats on both sides, maybe different language setting for both databases. For example Oracle uses dd-MM-yyyy and SQL expects MM-dd-yyyy. Try to select datetime fields from both databases to check the format. Then try to solve it by some type of conversion in SSIS. You can try converting Oracle date to universal datetime format and then converting back to MS SQL date format. Of course, SSIS should solve it automatically, but working with dates is often buggy and confusing.
The other possibility is, that you are trying to convert TEXT column in Oracle to datetime column in MSSQL and one of the values in the table does not fit expected date format.
Related
I have a requirement where I have to load Informatica SESSSTARTTIME(datetime) to SQL server timestamp. When I am trying to connect datetime to timestamp I am getting error incompatible data type.
Any suggestions how this can be achieved?
Thanks
I had a similar issue in the past, where the date column was not getting loaded because of the difference in precision of date/time used by Informatica and SQL server. You can try this workaround: Change the data type in the target definition (not in SQL Server table, only in Informatica Target definition) to String, then Informatica will pass the date/time value in quotes when firing the insert query, which SQL server can convert to date/time automatically.
in the mapping try to create output port in expression as sessionstarttime (which is a inbuilt variable) and pass it to target
hope this will help to get desire output
in session there is config tab where you can change the format for date and time
MS SQL Server timestamp datatype has nothing to do with time. It's an autogenerated number and you cannot load it.
https://msdn.microsoft.com/en-us/library/ms182776(v=SQL.90).aspx
quote:
"Is a data type that exposes automatically generated, unique binary numbers within a database. timestamp is generally used as a mechanism for version-stamping table rows. The storage size is 8 bytes. The timestamp data type is just an incrementing number and does not preserve a date or a time. To record a date or time, use a datetime data type."
When trying to migrate my data from MS SQL to mySQL, essentially converting one database to another I get the following error:
[WRN][copytable]: Invalid timestamp literal detected;"
I've attached a screenshot of what I am getting when using WorkBench. Why would this be occuring? Size of database is 10438MB
configured at my local system with SQL SERVER 2008 R2. I had tried many
freeware utilities for this purposes but failed to do so. Last time i
tried using MySQL workbench to convert this database but again failed. I
tried selection based table conversion as well as the complete database.
Quote:
Datetime - In MYSQL datetime does not contain milliseconds. The SQL
Server datetime datatype contains milliseconds. Error: “Invalid
timestamp literal detected” error. Solution: Convert the datetime
type to a smalldatetime in SQL Server if you do not mind losing the
milliseconds.
from here.
There is a flat file with dates in YYYYMMDD format, e.g. 19990131. I'm reading it with Flat File Source, column has default setting (DT_STR, width 50)... When I try to insert data via OLE DB Destination to a table with Date column I got the error: "The value could not be converted because of a potential loss of data.".
What is the cause of it? SQLServer easily understands YYYYMMDD format...
SQL Server may understand it, but SSIS doesn't. Note this comment from the SSIS documentation:
When a string is cast to a DT_DATE, or vice versa, the locale of the
transformation is used. However, the date is in the ISO format of
YYYY-MM-DD, regardless of whether the locale preference uses the ISO
format.
SSIS is trying to interpret YYYYMMDD based on the locale of the flat file connector, which may work for some locales but apparently not for yours. As you discovered, changing it to YYYY-MM-DD works, because SSIS considers that format to be unambiguous (you could also change the locale of the flat file connector, of course, although that might affect other data).
Unfortunately, this behaviour is the exact opposite in SQL Server itself, at least for the datetime data type: YYYYMMDD is unambiguous and YYYY-MM-DD is ambiguous. On the other hand, for the newer date data type both YYYYMMDD and YYYY-MM-DD are unambiguous in SQL Server.
If I change YYYYMMDD to YYYY-MM-DD before putting data into table everything works fine. I will accept this as an answer if nobody gives another, better solution. Maybe mine is prone to localization errors?
I was about to import data from a table in MySQL to SQL SErver 2008 through SSIS. But I cant transfer due to Dates in the table. There are some data of datetime data type, like '0001-01-10' which doesnt support in SQL Server where years in date ranges from 1753 to 9999. So how do i solve this in MySQL queries ?
If those dates are valid data, then there's no easy way to deal with that in SqlServer. Basically, a custom date handler is needed. A good-enough approximation might be achieved by separating the year into a single integer field and putting the month and day into a date field with a constant year. Every comparison would then be compound.
More likely—for most business applications—such dates are useless and should be cleaned up, or replaced by NULL values.
Note that none of the SSIS data types are truly equivalent to the SQL Server datetime or smalldatetime types, with their restricted range of allowable dates.
A lot of online documentation suggests the DT_DBTIMESTAMP is equivalent to SQL datetime. This is only true up to a point. Dates outside the allowed datetime range will happily cast to DT_DBTIMESTAMP (or any SSIS date type) - but will then cause an error if you try to write them out to an SQL datetime column.
Confusingly, SSIS represents external SQL datetime columns as DT_DBTIMESTAMP, suggesting that datetime and DT_DBTIMESTAMP are equivalent, when they're not.
This means that you can't anticipate out-of-range date problems in SSIS by casting. If you're eventually going to write to datetime or smalldatetime columns, you have to do an explicit check that the date is not out of range (<1/1/1753, or 1/1/1900 for smalldatetime).
I am using SSIS to copy data from a table in Oracle to a table in SQL Server 2005. There's no transformation required, so it's just a straight line connecting OLE DB Source to OLE DB Destination. Fairly simple and works, but during execution, a record in the Oracle table contains a timestamp value of the year 0002 in encountered, so SSIS errors out due to an oveflow exception.
If I create an extra column in SQL Server with the data type of string, and remap, then that works fine. However, I prefer to keep the Datatime column and use it in my destination. I am OK with replacing the year 0002 with something like 1900 or something like that. So what's the best way to achieve this if-then-else in SSIS?
I usually let Oracle deal with that by using something like this in my source query:
CAST( Coalesce (
CASE
WHEN TO_CHAR(Effective_Date,'yyyy-mm-dd HH24:MI:SS') < '1900-01-01 00:00:00'
THEN TO_DATE('9999-12-31 00:00:00','yyyy-mm-dd HH24:MI:SS')
ELSE Effective_Date
END ,TO_DATE('9999-12-31 00:00:00','yyyy-mm-dd HH24:MI:SS')) AS DATE) AS Effective_Date
This sets a valid but very future date (dictated by the company I am on contract to as the representation of an invalid date in a required date field. You could also use '1900-01-01 00:00:00' instead of '9999-12-31 00:00:00') in cases where the original date is null or less than 1900-01-01 00:00:00. It also avoids post processing by SSIS on the date field.
I realize you have the fix you wanted, but the other method for dealing with issues of this sort is to use a conditional split. You can find and handle all sorts of data issues where you want to remove records from the main flow and do specific handling of them using conditional split. I find it especially handy when I want to be able to tell the vendor about the bad records they sent us so they can fix their data.