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Monday, 2 November 2015

5 Tips For Better DataStage Design #4



1) While using AsInteger() function in datastage transformer always trim the imput column before passing it to function because if there are extra spaces or unwanted characters which generates zeros when actual integer values are expected. We should use APT_STRING_PADCHAR=0x20 (space) env var for fixed field padding.

2) The Len(col) will return the incorrect length if the input column is having some non-ASCII or double byte characters in it. So check your NLS settings for the job to fix this.



3) To remove embedded spaces from decimal data, use StripWhiteSpace(input.field) function to remove all spaces.

4) To get the datastage job no, Open the log view of the job in datastage director and double click on any entry of the log. The job number will be listed under the field "Job Number:"

5) Set these 2 parameters APT_NO_PART_INSERTION, APT_NO_SORT_INSERTION to TRUE to avoid datastage to insert partitioning or sorting method to improve the job performance at compile job. This will remove the warning also "When checking operator: User inserted sort "<name>" does not fulfill the sort requirements of the downstream operator "<name>""





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