Hi ,
My input file have following type of data:
id__Min id__Max id__Min_length id__avg_length id__convert_to_number
10 9999 1 4.777955559 49999
I have an idea that with the help of normalizer component i can achieve this.
however,I don't know how to use normalizer can anyone help me out by giving me sample graph .
Expected output is:
Profling Value
id__min 10
id__max 9999
id__min_length 1
id__avg_length 4.777955559
id__max_len 5
My input file have following type of data:
id__Min id__Max id__Min_length id__avg_length id__convert_to_number
10 9999 1 4.777955559 49999
I have an idea that with the help of normalizer component i can achieve this.
however,I don't know how to use normalizer can anyone help me out by giving me sample graph .
Expected output is:
Profling Value
id__min 10
id__max 9999
id__min_length 1
id__avg_length 4.777955559
id__max_len 5
-
Hi,
I am not sure if Normalizer is what you are looking for. If you want to create a new output file where each line will be placed on a separate line you may only need to update the metadata used on the edge that is connected to the writer component (most likely UniversalDataWriter).
However, if I didn't get the point, you may take a look at the examples that come with the Designer. In BasicExamples project, there is for example a graph IssuesSearch which contains Normalizer component in one of its subgraphs (JIRASearchMulti.sgrf). You may run the graph and drill down through the subgraphs to see how the component works. Just FYI BasicExamples project is created when you access one of the examples available on the Designer's Welcome screen (Help > Welcome).
Hope this helps.
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