Good morning everyone.
I am attempting to parse a very large CSV (65 million lines) with BEAM
(version 2.25) from an Azure Blob and have created a pipeline for this.
I am running the pipeline on dataflow and testing with a smaller version
of the file (10'000 lines).
I am using FileIO and
How can I pass that flag using the SDK?
Tried this:
pipeline = beam.Pipeline(options=PipelineOptions(experiments=
> ['use_runner_v2'], ...)
but still getting a similar error:
---KeyError
Hello,
We’d like to invite you to provide feedback on your experience discovering,
learning, and using Apache Beam via a user experience research. A user
experience research is a systematic investigation of user needs, behaviors,
and pain points to gather insights to inform the design process.
DataFlow runner
On Thu, Nov 19, 2020 at 2:00 PM Brian Hulette wrote:
> Hm what runner are you using? It looks like we're trying to encode and
> decode the pipeline proto, which isn't possible for a multi-language
> pipeline. Are you using a portable runner?
>
> Brian
>
> On Thu, Nov 19, 2020 at
Hm what runner are you using? It looks like we're trying to encode and
decode the pipeline proto, which isn't possible for a multi-language
pipeline. Are you using a portable runner?
Brian
On Thu, Nov 19, 2020 at 10:42 AM Alan Krumholz
wrote:
> got it, thanks!
> I was using:
>
got it, thanks!
I was using:
'xx.us-east-1'
Seems using this instead fixes that problem:
'xx.us-east-1.snowflakecomputing.com
I'm now hitting a different error though (now in python):
in bq_to_snowflake(bq_table, snow_table,
> git_branch)
> 161 )
> 162
> --> 163 result = pipeline.run()
Hi Alan,
Sorry this error message is so verbose. What are you passing for the
server_name argument [1]? It looks like that's what the Java stacktrace is
complaining about:
java.lang.IllegalArgumentException: serverName must be in format
.snowflakecomputing.com
[1]
I'm trying to replace my custom/problematic snowflake sink with the new:
https://beam.apache.org/documentation/io/built-in/snowflake/#writing-to-snowflake
However when I try to run my pipeline (using python) I get this Java error:
RuntimeError: java.lang.RuntimeException: Failed to build
Hey
i have been writing unit tests for beam pipelines using TestPipeline - in
python though, and i dont have such usecases
wondering if this satisfy your usecase?
If not, please give me some pointers to try to reproduce your usecase. To
me it seems, one of your transformations raises an
Hi Dave!
I don't have a lot of experience with coders, but I would include the Beam
user@ list (added just now) to see if someone else has done this.
Best
-P.
On Wed, Nov 18, 2020 at 7:22 AM Dave Anderson wrote:
> Pablo,
>
> Also, for now I've created tests that exercise the encode() and
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