Ssis row is missing in flat file1/19/2024 Inside the catch this step converts the s and p variables to uint and set them to 0. Note: int s and int p was changed to uint s and uint p, ToInt32 was changed to ToUInt32 (below is a picture of the failure). The package didn’t run the first time because the ints werent converted. The second section converts the SeriesNumber and PositionNumber to UInt32, then sets the value to 0, if the column in question is a string then this step will fail and be further processed in the final step of the code. The first section checks if any particular field in a row is null, if it is it sets the row’s ifGood to false. The Script component type needs to be set to transformation.Ĭhanging the input columns usage type to write/read for contestantName and mentorName. MentorName and ContestantName had to be set to string data types to match SQL server tables.Īnd finally a preview confirms the column names align well with the data from contestants.txt. SeriesNumber had to be created as an unsigned four-byte integer. In the advanced section changes to the column properties needed to be made(created) because the column names weren’t provided in the CSV file. Since the column names are not included in the CSV file I had to make sure “column names in the first data row was unchecked”. Second step is to create the flat file source, being the contestants.txt. Next step was to create an SQL task that truncated the tables before the task of importing the dodgy flat file was performed. This is the flat source CSV file used, some data is missing on purpose. In this exercise I learned how to filter bad data from a flat file source with the aid of script components.Ĭreating the two tables to export data to was the first step.
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