on 10-27-2015 8:56 PM
Hi All,
I have a Flat File (Pipe Delimiter) contains 28 Columns.
Input File contains 200000 Records. All records loaded properly except one record.
For that record, first 6 columns are not loaded. 7th column from Flat file started populating into 1st Column in Template Table (Target Table) and So On.
Note:
1) For Previous record, Last 6 columns are NULLs.
2) If I load this one record Individually, its being loaded correctly
Could you please let me know how to load this row properly along with huge file.
Regards.
Can we say it is Data Issue.
But the record which is prior to failed record is loaded successfully and these two records are similar in format.
I have asked my client to generate Excel format. They said, they can not generate Excel format.
Please do let me know if you have any other alternatives.
Regards.
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Hi Arun,
My Client machine do not allow other websites. So I can not attach the screen shot.
I am sorry for that.
Regards.
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Hi Arun,
I tried to load same data through Excel. All data loaded with out any Issues. I am still breaking my head whats wrong with Flat File.
Regards.
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I think this is regarding your earlier post.
When you are loading from flat files, these are bound to happen unless the file is formatted well. The error you have is a delimiter issue because of NULL values in the 6th column or there is no 7th column for that record. When you run DS job it will throw an error with the row number. To fix this do the following -
1) Open flat file in excel or Notepad++
2) Go to row number which is displayed in DS.
3) Keep your cursor on the 6th column and see whats going on.
4) Either fix yourself manually or inform the guys who are generating flat file for you.
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Hi,
I have converted all the fields to VARCHAR255. But still Issue exists.
Error is "A row delimiter was seen for row number <15386> while processing column number <24> in file"
I have examined the file and could not able to find any data Issue.
My Flat file contains 27 Columns. Last 12 columns are storing currency. First 3 columns storing Korean Names.
Regards.
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