Is there specific configuration required to ensure that workers get access
to UserGroupInformation when using TextIO? I am using Beam 2.22.0 on the
dataflow runner.
My main method looks like this below. My HdfsTextIOOptions extends
HadoopFileSystemOptions, and I set the HdfsConfiguration on the op
Thanks Luke for the info. I will take a look.
Eleanore
On Mon, Jun 15, 2020 at 12:48 PM Luke Cwik wrote:
> The intent is that users shouldn't have to use async I/O since the idea is
> that the runner should increase the number of workers/threads being
> processed automatically so that you never
Hi All,
I previously asked a few questions regarding enable EOS (exactly once
semantics) please see below.
Our Beam pipeline uses KafkaIO to read from source topic, and then use
KafkaIO to publish to sink topic.
According to Max's answer to my previous questions, enable EOS with KafkaIO
will int
Hi all,
We are resuming our webinars on Beam Learning Month!
Please join us this Wednesday at *9.45am PDT/4:45pm GMT/12:45pm EST* ,
where Kobe Feng from eBay will deliver a talk about leveraging Apache Beam
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Hi Beam User community,
In line with the pledge[1] to sunset Python 2 offering in new releases in
2020 that Apache Beam has committed to [1,2], we are discussing[3] a more
concrete proposal on dev@ mailing list to make 2.23.0 the final Beam
release supporting Python 2.
We have now had more than 1
Posted comments on your SO question.
On Tue, Jun 16, 2020 at 4:32 AM Vince Gonzalez
wrote:
> Is there specific configuration required to ensure that workers get access
> to UserGroupInformation when using TextIO? I am using Beam 2.22.0 on the
> dataflow runner.
>
> My main method looks like this
HI all
i am creating dataflow jobs using python API by creating templates which i
then run on gcp.
So suppose my dataflow job accepts 2 input parameter which i need to supply
at invocation time.
Do i need to specify these parameters when i create my template?
Here' s a sample. suppose i need two p