Is your job a Dataflow Template job?
The error is caused by
https://github.com/apache/beam/blob/master/runners/google-cloud-dataflow-java/src/main/java/org/apache/beam/runners/dataflow/util/DataflowTemplateJob.java#L55
.
So basically DataflowTemplateJob does not support metrics.
On Wed, Jun
gt;>>>> I was using a setup.py as well, but then i commented out the usage in
>>>>>> the dockerfile after checking some flex templates which said it is not
>>>>>> needed
>>>>>>
>>>>>>
>>>>>
ot;: Step #4 - "dftester-image":
>>> section = defn.get("tool", {})[tool_name]
>>> Step #0 - "build-shareloader-template": Step #4 - "dftester-image":
>>> ~~~~~~~~^^^^^^^
>>
age":
> KeyError: 'setuptools_scm'
> Step #0 - "build-shareloader-template": Step #4 - "dftester-image":
> running bdist_wheel
>
>
>
>
> It is somehow getting messed up with a toml ?
>
>
> Could anyone advise?
>
> thank
https://github.com/GoogleCloudPlatform/python-docs-samples/tree/main/dataflow/flex-templates/pipeline_with_dependencies
is a great example.
On Mon, Jun 10, 2024 at 4:28 PM Valentyn Tymofieiev via user <
user@beam.apache.org> wrote:
> In this case the Python version will be defined by the Python
If you have a Vertex AI model, try
https://cloud.google.com/dataflow/docs/notebooks/run_inference_vertex_ai
If you want to use the Vertex AI model to do text embedding, try
https://cloud.google.com/dataflow/docs/notebooks/vertex_ai_text_embeddings
On Sun, Jun 9, 2024 at 4:40 AM Sofia’s World
Probably related to the strict encapsulation that is enforced with Java 21.
Use `--add-opens=java.base/java.lang=ALL-UNNAMED` as the JVM flag could be
a temporary workaround.
On Mon, Jun 3, 2024 at 3:04 AM 田中万葉 wrote:
> Hi all,
>
> I encountered an UnsupportedOperationException when using Java
You should be able to configure the number of partition like this:
https://github.com/GoogleCloudPlatform/dataflow-cookbook/blob/main/Java/src/main/java/jdbc/ReadPartitionsJdbc.java#L132
The code to auto infer the number of partitions seems to be unreachable (I
haven't checked this carefully).
I do not suggest you handle this in beam.io.WriteToPubSub. You could change
your pipeline to add one transform to check the message size. If it is
beyond 10 MB, you could use another sink or process the message to reduce
the size.
On Fri, May 24, 2024 at 3:46 AM Nimrod Shory wrote:
> Hello
I am not sure which part you want to test. If the processData part should
be tested, you could refactor the code without use any Beam specific code
and test the processing data logic.
>From your example, it seems that you are calling some APIs, we recently
added a new Web API IO:
Do you still have the same issue? I tried to follow your setup.sh to
reproduce this but somehow I am stuck at the word_len step. I saw you also
tried to use `print(kafka_kv)` to debug it. I am not sure about your
current status.
On Fri, May 10, 2024 at 9:18 AM Jaehyeon Kim wrote:
> Hello,
>
>
it works with the FlinkRunner. Thank you so much!
>
> Cheers,
> Jaehyeon
>
> [image: image.png]
>
> On Mon, 6 May 2024 at 02:49, XQ Hu via user wrote:
>
>> Have you tried to use other runners? I think this might be caused by some
>> gaps in Python Direct
; Jaehyeon
>
> On Sun, 5 May 2024 at 09:21, XQ Hu via user wrote:
>
>> I played with your example. Indeed, create_tracker in your ProcessFilesFn
>> is never called, which is quite strange.
>> I could not find any example that shows the chained SDFs, which makes me
&g
I played with your example. Indeed, create_tracker in your ProcessFilesFn
is never called, which is quite strange.
I could not find any example that shows the chained SDFs, which makes me
wonder whether the chained SDFs work.
@Chamikara Jayalath Any thoughts?
On Fri, May 3, 2024 at 2:45 AM
is not clear to me is what are the advantages of using it? Is
> > >> only the error/retry handling? anything in terms of performance?
> > >>
> > >> My PCollection is unbounded but I was thinking of sending my messages
> > >> in batches to
sages
> in batches to the external API in order to gain some performance
> (don't expect to send 1 http request per message).
>
> Thank you very much for all your responses!
>
>
> On Sun, Apr 14, 2024 at 8:28 AM XQ Hu via user
> wrote:
> >
> > To enrich your data
To enrich your data, have you checked
https://cloud.google.com/dataflow/docs/guides/enrichment?
This transform is built on top of
https://beam.apache.org/documentation/io/built-in/webapis/
On Fri, Apr 12, 2024 at 4:38 PM Ruben Vargas
wrote:
> On Fri, Apr 12, 2024 at 2:17 PM Jaehyeon Kim
Sounds like a good idea to add a new section. Let me chat with the team
about that. Thanks.
On Wed, Apr 10, 2024 at 12:09 PM Ahmet Altay wrote:
> Pulsar IO did not change much since it was originally added in 2022. You
> can find about the gaps in this presentation (
>
I think PulsarIO needs more work to be polished.
On Tue, Apr 9, 2024 at 2:48 PM Vince Castello via user
wrote:
> I see that a Pulsar connector was made available as of BEAM 2.38.0 release
> but I don't see Pulsar as an official connector on the page below. Is the
> Pulsar IO connector official
you can share what you've changed (maybe a PR) so that I can
> test again on my linux machine. Thanks so much for your help. There's
> someone else also pinging me on the same error when testing, and I do want
> to make this work for everyone. Thanks!
>
>
>
> On Mon, Ma
You can check
https://github.com/search?q=repo%3Ajohnjcasey%2Fbeam%20withBadRecordErrorHandler=code.
The test codes show how to use them. More doc will be added later.
On Wed, Mar 27, 2024 at 7:15 PM Ruben Vargas
wrote:
> Hello all
>
> Maybe a silly question. Are there any suggestions for
y
> eg) Apache Flink CEP.
>
> Both the tickets have an associating GitHub issue and no update for more
> than 1 year, which means they are not likely to be completed in the near
> future?
>
> Cheers,
> Jaehyeon
>
>
> On Sun, 24 Mar 2024 at 12:02, XQ Hu v
or (when deploying
> with DataflowRunner). So obviously, there is no global window or default
> trigger. That’s, I believe, what’s described in the issue:
> https://github.com/apache/beam/issues/25598
>
>
>
>
>
> *From: *Ondřej Pánek
> *Date: *Thursday, March 14,
https://beam.apache.org/documentation/dsls/sql/zetasql/overview/
and
https://github.com/apache/beam/blob/master/sdks/java/extensions/sql/zetasql/src/main/java/org/apache/beam/sdk/extensions/sql/zetasql/SupportedZetaSqlBuiltinFunctions.java
for the supported functions.
On Sat, Mar 23, 2024 at 5:50
elated to only the image, thanks.
>
> The goal for this repo is to complete my previous talk:
> https://www.youtube.com/watch?v=XUz90LpGAgc_channel=ApacheBeam
>
> On Sun, Mar 17, 2024 at 8:07 AM XQ Hu via user
> wrote:
>
>> I cloned your repo on my Linux machine, which i
I cloned your repo on my Linux machine, which is super useful to run. Not
sure why you use Beam 2.41 but anyway, I tried this on my Linux machine:
python t.py \
--topic test --group test-group --bootstrap-server localhost:9092 \
--job_endpoint localhost:8099 \
--artifact_endpoint
Here is what I did including how I setup the portable runner with Flink
1. Start the local Flink cluster
2. Start the Flink job server and point to that local cluster: docker run
--net=host apache/beam_flink1.16_job_server:latest
--flink-master=localhost:8081
3. I use these pipeline options in
Can you explain more about " that current sinks for Avro and Parquet with
the destination of GCS are not supported"?
We do have AvroIO and ParquetIO (
https://beam.apache.org/documentation/io/connectors/) in Python.
On Wed, Mar 13, 2024 at 5:35 PM Ondřej Pánek wrote:
> Hello Beam team!
>
>
>
>
I do not think the dialect argument is exposed here:
https://github.com/apache/beam/blob/a391198b5a632238dc4a9298e635bb5eb0f433df/sdks/python/apache_beam/runners/interactive/sql/beam_sql_magics.py#L293
Two options:
1) create a feature request and PR to add that
2) Switch to SqlTransform
On Mon,
Is this what you are looking for?
import random
import time
import apache_beam as beam
from apache_beam.transforms import trigger, window
from apache_beam.transforms.periodicsequence import PeriodicImpulse
from apache_beam.utils.timestamp import Timestamp
with beam.Pipeline() as p:
input =
t /opt/apache/beam/jars
> /opt/apache/beam/jars COPY --from=apache/beam_java11_sdk:latest
> /opt/java/openjdk /opt/java/openjdk ENV JAVA_HOME=/opt/java/openjdk ENV
> PATH="${JAVA_HOME}/bin:${PATH}"
>
>
>
> On Sat, Feb 24, 2024 at 21:55 XQ Hu via user wrote:
>
>&
Here is what I did:
CREATE TABLE IF NOT EXISTS test2 (id bigint DEFAULT
nextval('sap_tm_customer_id_seq'::regclass) NOT NULL, name VARCHAR(10),
load_date_time TIMESTAMP)
make sure id cannot be NULL (you might not need this).
I tried this for my data without using the id field:
class
Does your code work without the launcher? Better check this step by step to
figure out which part causes this error.
On Sat, Feb 24, 2024 at 3:25 AM George Dekermenjian
wrote:
> I have a python pipeline that uses the bigquery storage write method
> (cross language with Java). I’m building
I did not find BEAM-13846 but this suggests String is never supported:
https://github.com/apache/beam/blob/master/sdks/java/io/jdbc/src/test/java/org/apache/beam/sdk/io/jdbc/JdbcUtilTest.java#L59
However, you could use the code from the test to create yours.
On Thu, Feb 22, 2024 at 11:20 AM
I do not think it enforces a reshuffle by just checking the doc here:
https://beam.apache.org/releases/pydoc/current/apache_beam.transforms.util.html?highlight=withkeys#apache_beam.transforms.util.WithKeys
Have you tried to just add ReShuffle after PubsubLiteIO?
On Thu, Jan 18, 2024 at 8:54 PM
Great! And thank you!
On Fri, Jan 5, 2024 at 2:49 PM Jack McCluskey via user
wrote:
> We are happy to present the new 2.53.0 release of Beam.
> This release includes both improvements and new functionality.
> For more information on changes in 2.53.0, check out the detailed release
> notes
You can archive jobs now:
https://cloud.google.com/dataflow/docs/guides/stopping-a-pipeline#archive
On Tue, Jan 2, 2024 at 8:47 AM Svetak Sundhar via user
wrote:
> Hello Sumit,
>
> There is no requirement to delete old jobs, though you can archive
> completed jobs via a recently released
Can you share some code snippets about how to read from S3? Do you use the
builtin TextIO?
On Fri, Dec 22, 2023 at 11:28 AM Ramya Prasad via user
wrote:
> Hello,
>
> I am a developer trying to use Apache Beam, and I have a nuanced problem I
> need help with. I have a pipeline which has to read
When I search the Beam code base, there are plenty of places which
use Wait.on. You could check these code for some insights.
If this doesn't work, it would be better to create a small test case to
reproduce the problem and open a Github issue.
Sorry, I cannot help too much with this.
On Fri, Dec
You can use the same docker image for both template launcher and Dataflow
job. Here is one example:
https://github.com/google/dataflow-ml-starter/blob/main/tensorflow_gpu.flex.Dockerfile#L60
On Fri, Dec 22, 2023 at 8:04 AM Sumit Desai wrote:
> Yes, I will have to try it out.
>
> Regards
> Sumit
Dataflow VMs cannot know your local env variable. I think you should use
custom container:
https://cloud.google.com/dataflow/docs/guides/using-custom-containers. Here
is a sample project: https://github.com/google/dataflow-ml-starter
On Wed, Dec 20, 2023 at 4:57 AM Sofia’s World wrote:
> Hello
https://github.com/google/dataflow-ml-starter/tree/main?tab=readme-ov-file#run-the-beam-pipeline-with-dataflow-flex-templates
has a full example about how to create your own flex template. FYI.
On Mon, Dec 18, 2023 at 5:01 AM Bartosz Zabłocki via user <
user@beam.apache.org> wrote:
> Hi Sumit,
>
Thanks a lot! Great job, Team!
On Fri, Nov 17, 2023 at 7:21 PM Danny McCormick via user <
user@beam.apache.org> wrote:
> I am happy to announce that the 2.52.0 release of Beam has been finalized.
> This release includes both improvements and new functionality.
>
> For more information on changes
That suggests the default label is created as that, which indeed causes the
duplication error.
On Tue, Oct 3, 2023 at 9:15 PM Joey Tran wrote:
> Not sure what that suggests
>
> On Tue, Oct 3, 2023, 6:24 PM XQ Hu via user wrote:
>
>> Looks like this is the current behavio
Looks like this is the current behaviour. If you have `t =
beam.Filter(identity_filter)`, `t.label` is defined as
`Filter(identity_filter)`.
On Mon, Oct 2, 2023 at 9:25 AM Joey Tran wrote:
> You don't have to specify the names if the callable you pass in is
> /different/ for two `beam.Map`s,
https://github.com/apache/beam/issues/27221#issuecomment-1603626880
This tracks the progress.
On Wed, Jul 12, 2023 at 7:37 PM Adlae D'Orazio
wrote:
> Hello,
>
> I am currently trying to use Interactive Beam to run my pipelines through
> a Jupyter notebook, but I
> have internal packages
We already have a Beam Overview there.
https://beam.apache.org/get-started/tour-of-beam/ contains some good Colab
notebooks, which mainly are just for Python. I suggest we link this to
https://tour.beam.apache.org/ but move the current content under Python
Quickstart.
On Thu, Jun 15, 2023 at
Can you check whether your code has any options that contain any of
[disable_runner_v2, disable_prime_runner_v2,
disable_prime_streaming_engine]?
On Sat, May 27, 2023 at 5:29 AM Mário Costa via user
wrote:
> I have a pipeline built using Apache Beam java SDK version 2.46.0 when
> submitting a
You could create a batch pipeline that reads GCS and writes to BigQuery.
And you can use this template
https://cloud.google.com/dataflow/docs/guides/templates/provided/cloud-storage-to-bigquery
.
On Sat, May 6, 2023 at 1:10 AM Utkarsh Parekh
wrote:
> Hi,
>
> I'm writing a simple streaming beam
https://github.com/apache/beam/issues/26515 tracks this issue. The fix was
merged. Thanks a lot for reporting this issue, Binh!
On Mon, Apr 17, 2023 at 12:58 PM Binh Nguyen Van wrote:
> Hi,
>
> I tested with streaming insert and file load, and they all worked as
> expected. But looks like
Does FILE_LOADS (
https://beam.apache.org/releases/javadoc/2.46.0/org/apache/beam/sdk/io/gcp/bigquery/BigQueryIO.Write.Method.html#FILE_LOADS)
work for your case?
For STORAGE_WRITE_API, it has been actively improved. If the latest SDK
still has this issue, I highly recommend you to create a Google
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