Thanks Cham
On 16 March 2018 at 23:28, Chamikara Jayalath wrote:
> Actually, I could assign it to you.
>
> On Fri, Mar 16, 2018 at 4:27 PM Chamikara Jayalath
> wrote:
>
>> Of course. Feel free to add a comment to JIRA and send out a pull request
>>
Actually, I could assign it to you.
On Fri, Mar 16, 2018 at 4:27 PM Chamikara Jayalath
wrote:
> Of course. Feel free to add a comment to JIRA and send out a pull request
> for this.
> Can one of the JIRA admins assign this to Sajeevan ?
>
> Thanks,
> Cham
>
> On Fri, Mar
Of course. Feel free to add a comment to JIRA and send out a pull request
for this.
Can one of the JIRA admins assign this to Sajeevan ?
Thanks,
Cham
On Fri, Mar 16, 2018 at 4:22 PM Sajeevan Achuthan <
achuthan.sajee...@gmail.com> wrote:
> Hi Guys,
>
> Can I take a look at this issue? If you
So since I made some updates to the doc I feel like this is a good time to
add a summary (I didn't know I needed to do that when I originally sent it
out).
Structure and Lifting of Combines (In Apache Beam Portability)
This doc covers how Combines will be modeled in the Runner API and Fn API,
as
Hi Guys,
Can I take a look at this issue? If you agree, my Jira id is eachsaj
thanks
Saj
On 16 March 2018 at 22:13, Chamikara Jayalath wrote:
> Created https://issues.apache.org/jira/browse/BEAM-3867.
>
> Thanks,
> Cham
>
> On Fri, Mar 16, 2018 at 3:00 PM Eugene
Big +1
Regards
JB
Le 16 mars 2018 à 15:59, à 15:59, Reuven Lax a écrit:
>BTW while it's true that raw GBK can't be fluent (due to constraint on
>element type). once we have schema support we can introduce
>groupByField,
>and that can be fluent.
>
>
>On Wed, Mar 14, 2018 at
BTW while it's true that raw GBK can't be fluent (due to constraint on
element type). once we have schema support we can introduce groupByField,
and that can be fluent.
On Wed, Mar 14, 2018 at 11:50 PM Robert Bradshaw
wrote:
> On Wed, Mar 14, 2018 at 11:04 PM Romain
Created https://issues.apache.org/jira/browse/BEAM-3867.
Thanks,
Cham
On Fri, Mar 16, 2018 at 3:00 PM Eugene Kirpichov
wrote:
> Reading can not be parallelized, but processing can be - so there is value
> in having our file-based sources automatically decompress .tar and
Reading can not be parallelized, but processing can be - so there is value
in having our file-based sources automatically decompress .tar and .tar.gz.
(also, I suspect that many people use Beam even for cases with a modest
amount of data, that don't have or need parallelism, just for the sake of
Gzip is supported by TextIO. However you are right, tar is not yet supported.
It's similar in the way of dealing with entries.
Could you please create a Jira about that ?
Thanks
Regards
JB
Le 16 mars 2018 à 14:50, à 14:50, Chamikara Jayalath a
écrit:
>FWIW, if you have
FWIW, if you have a concat gzip file [1] TextIO and other file-based
sources should be able to read that. But we don't support tar files. Is it
possible to perform tar extraction before running the pipeline ? This step
probably cannot be parallelized. So not much value in performing within the
I asked the same question on the stack overflow question. Also, adding
u...@beam.apache.org
On Fri, Mar 16, 2018 at 2:03 PM Reuven Lax wrote:
> Can you explain what you mean? Are you saying that you call
> waitUntilFinish(), then execute some other code, and you think some
Can you explain what you mean? Are you saying that you call
waitUntilFinish(), then execute some other code, and you think some of that
other code is not being executed?
On Fri, Mar 16, 2018 at 1:46 PM Lucas Arruda wrote:
> I have an Apache Beam pipeline written on Java.
I have an Apache Beam pipeline written on Java. I'm with a problem that
some routines are not being executed on all instances of that pipeline.
Those routines are as simple as logging messages or excluding a file in
GCS. They are all put to run after the following code:
More at
Eugene - Yes, you are correct. I tried with a text file & Beam wordcount
example. The TextIO reader reads some illegal characters as seen below.
here’s: 1
addiction: 1
new: 1
we: 1
mood: 1
an: 1
incredible: 1
swings,: 1
known: 1
choices.: 1
Hi Philip,
Thanks for expressing interest in the Go SDK! The documentation is indeed
still incomplete (BEAM-3826) and the main design document is probably be
the best starting point right now:
https://s.apache.org/beam-go-sdk-design-rfc
It also contains links to some of the better
The code behaves as I expected, and the output is corrupt.
Beam unzipped the .gz, but then interpreted the .tar as a text file, and
split the .tar file by \n.
E.g. the first file of the output starts with lines:
Eugene, I ran the code and it works fine. I am very confident in this
case. I appreciate you guys for the great work.
The code supposed to show that Beam TextIO can read the double compressed
files and write output without any processing. so ignored the processing
steps. I agree with you the
Sajeevan - I'm quite confident that TextIO can handle .gz, but can not
handle properly .tar. Did you run this code? Did your test .tar.gz file
contain multiple files? Did you obtain the expected output, identical to
the input except for order of lines?
(also, the ParDo in this code doesn't do
Hi Guys,
The TextIo can handle the tar.gz type double compressed files. See the code
test code.
PipelineOptions optios =
PipelineOptionsFactory.fromArgs(args).withValidation().create();
Pipeline p = Pipeline.create(optios);
* p.apply("ReadLines", TextIO.read().from("/dataset.tar.gz"))*
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