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Support Environment Sensitive Staging #40699
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30f6d8e
Support Environment Sensitive Staging
tarun-google 73038ac
Add Change commit
tarun-google 49877e4
Merge branch 'master' into fix_env_staging
tarun-google 4044735
trigger post submits
tarun-google 56034fd
Merge branch 'fix_env_staging' of github.com:tarun-google/beam into f…
tarun-google 15382fe
Merge branch 'master' into fix_env_staging
tarun-google 4bec8d5
trivial change
tarun-google 1870a42
add clean up and update changes
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -1,5 +1,5 @@ | ||
| { | ||
| "comment": "Modify this file in a trivial way to cause this test suite to run.", | ||
| "pr": "40241", | ||
| "modification": 66 | ||
| "pr": "40699", | ||
| "modification": 68 | ||
| } |
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My main concern is: some users might have made assumptions where files are staged, now the path becomes dynamic, so we need to evaluate it on the worker and not at pipeline construction. We need to communicate that this is a breaking change for Python in CHANGES.md and guide users how to navigate this change.
I think any code that hardcodes /tmp/staged/... (non-dataflow) or smth like /var/opt/google/staged/... will fail to find files in the right location.
We can point users to a code snippet https://beam.apache.org/documentation/sdks/python-pipeline-dependencies/#accessing-staged-files-on-the-workers (sent you a PR correcting it slightly).
We might need to highlight that this evaluation needs to run on the workers, and not at pipeline submission.
We should check how would users use --files_to_stage to supply a model, and then point RunInference transform to the model that was staged?
We can start with checking if these tests will fail
beam/sdks/go/test/integration/transforms/xlang/inference/inference.go
Line 42 in eb8f207
beam/sdks/java/extensions/python/src/test/java/org/apache/beam/sdk/extensions/python/transforms/RunInferenceTransformTest.java
Line 49 in eb8f207
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Yes, if some already know that main requirements are replacing the provider and did not supply all the required dependencies for transforms and included then in main requirements to form super set. The pipeline would break with no module error.
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Done, Updated CHANGES.md
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hmm let me check the tests. I do not think users should know and care about how workers are downloading and managing dependencies. Tests We have written, I agree we can find a way to fix them.
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@tvalentyn Created #40795 for fixing the tests