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From "ASF GitHub Bot (JIRA)" <>
Subject [jira] [Commented] (NIFI-2613) Support extracting content from Microsoft Excel (.xlxs) documents
Date Tue, 14 Feb 2017 19:58:41 GMT


ASF GitHub Bot commented on NIFI-2613:

Github user jdye64 commented on the issue:
    @jvwing wow sorry its been a long time for my response. I've tried to go through and make
all of the cleanup suggestions you have made.
    Yes, the intention is a single output per sheet in the excel file. Keep in mind that if
the sheet is not .xlsx and rather .xls format you would see the behavior you are experiencing.
Can you attach the excel doc you were testing with?
    I made the change to case of the attribute
    Also adjusted the error handling to prevent the end user from being pummeled with a full
stack trace.

> Support extracting content from Microsoft Excel (.xlxs) documents
> -----------------------------------------------------------------
>                 Key: NIFI-2613
>                 URL:
>             Project: Apache NiFi
>          Issue Type: New Feature
>          Components: Extensions
>            Reporter: Jeremy Dyer
>            Assignee: Jeremy Dyer
> Microsoft Excel is a wildly popular application that businesses rely heavily on to store,
visualize, and calculate data. Any single company most likely has thousands of Excel documents
containing data that could be very valuable if ingested via NiFi and combined with other datasources.
Apache POI is a popular 100% Java library for parsing several Microsoft document formats including
Excel. Apache POI is extremely flexible and can do several things. This issue would focus
solely on using Apache POI to parse an incoming .xlxs document and convert it to CSV. The
processor should be capable of limiting which excel sheets. CSV seems like the natural choice
for outputting each row since this feature is already available in Excel and feels very natural
to most Excel sheet designs.
> This capability should most likely introduce a new "poi" module as I envision many more
capabilities around parsing Microsoft documents could come from this base effort.

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