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https://issues.apache.org/jira/browse/BEAM-12447?focusedWorklogId=738476&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-738476
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ASF GitHub Bot logged work on BEAM-12447:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 09/Mar/22 01:16
Start Date: 09/Mar/22 01:16
Worklog Time Spent: 10m
Work Description: y1chi commented on a change in pull request #17032:
URL: https://github.com/apache/beam/pull/17032#discussion_r822208810
##########
File path: sdks/python/apache_beam/runners/portability/sdk_container_builder.py
##########
@@ -338,3 +345,24 @@ def _get_gcs_bucket_and_name(gcs_location):
def _make_tarfile(output_filename, source_dir):
with tarfile.open(output_filename, "w:gz") as tar:
tar.add(source_dir, arcname=SOURCE_FOLDER)
+
+ @staticmethod
+ def _get_cloud_build_machine_type_enum(machine_type: str):
+ if not machine_type:
+ return None
+ mappings = {
+ 'n1-highcpu-8': cloudbuild.BuildOptions.MachineTypeValueValuesEnum.
Review comment:
I've seen some docker exit code 137 error(seems to be OOM) when
prebuilding with large dependencies such as tfx.
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Issue Time Tracking
-------------------
Worklog Id: (was: 738476)
Time Spent: 3.5h (was: 3h 20m)
> SdkContainerImageBuilder should take machineType configs
> --------------------------------------------------------
>
> Key: BEAM-12447
> URL: https://issues.apache.org/jira/browse/BEAM-12447
> Project: Beam
> Issue Type: Improvement
> Components: runner-dataflow, sdk-py-core
> Reporter: Yichi Zhang
> Priority: P3
> Time Spent: 3.5h
> Remaining Estimate: 0h
>
> When prebuilding the python SDK container harness image with
> SdkContainerImageBuilder on google cloud build, it can run out of memory and
> fail the build with docker exit code 137. The default machineType is only
> n1-standard-1 and it is unlikely sufficient to build large images.
>
> The SdkContainerImageBuilder should take additional machineType configs to
> circumvent the docker OOM issue.
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