This comes up a lot, wanting file names alongside the data that came from
the file. It is a historical quirk that none of our connectors used to have
the file names. What is the change needed for FileIO + parse Avro to be
really easy to use?

Kenn

On Thu, Feb 7, 2019 at 6:18 AM Jeff Klukas <jklu...@mozilla.com> wrote:

> I haven't needed to do this with Beam before, but I've definitely had
> similar needs in the past. Spark, for example, provides an input_file_name
> function that can be applied to a dataframe to add the input file as an
> additional column. It's not clear to me how that's implemented, though.
>
> Perhaps others have suggestions, but I'm not aware of a way to do this
> conveniently in Beam today. To my knowledge, today you would have to use
> FileIO.match() and FileIO.readMatches() to get a collection of
> ReadableFile. You'd then have to FlatMapElements to pull out the metadata
> and the bytes of the file, and you'd be responsible for parsing those bytes
> into avro records. You'd  be able to output something like a KV<String, T>
> that groups the file name together with the parsed avro record.
>
> Seems like something worth providing better support for in Beam itself if
> this indeed doesn't already exist.
>
> On Thu, Feb 7, 2019 at 7:29 AM Chaim Turkel <ch...@behalf.com> wrote:
>
>> Hi,
>>   I am working on a pipeline that listens to a topic on pubsub to get
>> files that have changes in the storage. Then i read avro files, and
>> would like to write them to bigquery based on the file name (to
>> different tables).
>>   My problem is that the transformer that reads the avro does not give
>> me back the files name (like a tuple or something like that). I seem
>> to have this pattern come back a lot.
>> Can you think of any solutions?
>>
>> Chaim
>>
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