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Disable cache compression #27023

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merged 8 commits into from
Jun 7, 2023
Merged

Disable cache compression #27023

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5e84f42
Disable cache compression
davidcavazos Jun 5, 2023
d7b2426
Update CHANGES.md
davidcavazos Jun 5, 2023
c236b49
Fix line too long linter issue
davidcavazos Jun 5, 2023
8e84ece
Update CHANGES.md
davidcavazos Jun 6, 2023
eb357fe
Disable pip cache directory
davidcavazos Jun 6, 2023
3170c25
Update CHANGES.md
davidcavazos Jun 6, 2023
5fe72f1
revert reducing image size
davidcavazos Jun 6, 2023
3c3095c
Merge branch 'master' of github.com:apache/beam into patch-1
davidcavazos Jun 6, 2023
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1 change: 1 addition & 0 deletions CHANGES.md
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Expand Up @@ -105,6 +105,7 @@
* Dead letter queue support added to RunInference in Python ([#24209](https://github.com/apache/beam/issues/24209)).
* Support added for defining pre/postprocessing operations on the RunInference transform ([#26308](https://github.com/apache/beam/issues/26308))
* Adds a Docker Compose based transform service that can be used to discover and use portable Beam transforms ([#26023](https://github.com/apache/beam/pull/26023)).
* Allow prebuilding large images when using `--prebuild_sdk_container_engine=cloud_build`, like images depending on `tensorflow` or `torch` ([#27023](https://github.com/apache/beam/pull/27023))
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## Breaking Changes

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8 changes: 7 additions & 1 deletion sdks/python/apache_beam/runners/portability/sdk_container_builder.py
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Expand Up @@ -252,7 +252,13 @@ def _invoke_docker_build_and_push(self, container_image_name):
build.steps = []
step = cloudbuild.BuildStep()
step.name = 'gcr.io/kaniko-project/executor:latest'
step.args = ['--destination=' + container_image_name, '--cache=true']
# Disable compression caching to allow for large images to be cached.
# See: https://github.com/GoogleContainerTools/kaniko/issues/1669
step.args = [
'--destination=' + container_image_name,
'--cache=true',
'--compressed-caching=false',
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]
step.dir = SOURCE_FOLDER

build.steps.append(step)
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