@Mark,@Matt,@Nick
Thanks for your valuable information.
It really helpful for me.
Many thanks,
prabhu
On Mon, Jan 30, 2017 at 11:38 PM, Nick Carenza <
nick.care...@thecontrolgroup.com> wrote:
> Hey Prabhu, I just finished up a csv processing flow myself and it looks
> like this:
>
> CSV Flowfi
Hey Prabhu, I just finished up a csv processing flow myself and it looks
like this:
CSV Flowfile -> InferAvroSchema -> ConvertCSVToAvro -> ConvertAvroToJson
You can then use the ConvertJSONToSQL processor to finish things up.
I would have liked to be able to go directly from CSV to JSON but I don
Prabhu,
I agree with Mark; if you want to use ExecuteScript for this, I have
an example of splitting fields (using a bar | delimiter, but you can
change to comma) [1]. If you have quoted values that can contain
commas, then like Mark said you may want to look at writing a custom
processor, or usi
Prabhu,
My guess is that you probably could find some way to do this with the standard
out-of-the-box processors
that come with NiFi. Perhaps by using Extract Text to extract the header
columns, and then using ReplaceText
and perhaps a few other processors. Going down this route though is likely
I have a CSV data with 100 columns like below..,
,A,B,C,D,E,F,..[upto 100 Header columns]
Date,A1,B1,C1,D1,E1,F1..[upto 100 Header columns]
30/01/2017 23:23:22,Majestic,32,2100.12[upto 100 data columns]
In data having first 2 header lines and 3 rd line is data in which i
inser
