Hi, Thank you Daniel I tried to build a container and stored it in GCR. My
container had a binary file built from package main where I have code of my
job. I changed entrypoint in dockerfile to boot file. I create boot.go in a way
that is almost the same as github.com
https://github.com/apache/beam/blob/master/sdks/go/container/boot.go with the
only difference that I override the binary file of worker const prog =
"/bin/worker" Then my boot should start worker which is also added to
container. But I also have one more problem. Dataflow requires me to provide
template json created by me and model (processing graph) file stored in GCS. I
have to point pipelineUrl in template configuration to location of model. And
it's a bit problematic to me to generate these 2 files and send to GCS
manually. So far I tried to start my job from local terminal with dry_run
parameter to get template and model to export. Maybe I'm doing something
wrong. I'd appreciate if there is a better approach because the one I use
is very inconvenient and error prone (and something is still not working with
this approach). -- Paweł Dnia 13 kwietnia 2022 02:04 Daniel Oliveira
<danolive...@google.com> napisał(a): I've used a custom docker image
for the SDK/Worker Harness before by uploading a docker image to somewhere
accessible by Dataflow (in my case I used GCR cloud.google.com
https://cloud.google.com/container-registry ), and then using that as the URL
for my container. I used the environment_config flag from Go instead of
worker_harness_container_image, but I believe they are functionally equivalent,
you just choose one or the other. So it would look something like this:
--worker_harness_container_image= us.gcr.io
us.gcr.io/project/filepath/beam_go_sdk:tag Hope that helps! On Wed, Apr 6,
2022 at 2:01 AM Pawel < pawel...@o2.pl > wrote: Hi, I'm wondering
if it is possible to create custom docker image with compiled go binary that
can be deployed to Dataflow? Currently I'm using it as below myjob
--runner dataflow --output gs://prog-test-bucket/out --project ***
--region europe-west1 --temp_location gs://prog-test-bucket/tmp/
--staging_location gs://prog-tet-buckt/binaries/
--worker_harness_container_image=apache/beam_go_sdk:latest But this is not a
"clean" way of starting jobs. I'd prefer to have it in a more
organized way with deploying worker as built container image. Can I make a use
of hub.docker.com https://hub.docker.com/r/apache/beam_go_sdk and build
custom image with my binary and then deploy it in GCP? I will appreciate all
the suggestion/help. Thanks -- Paweł
