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Codecov Report✅ All modified and coverable lines are covered by tests. Additional details and impacted files@@ Coverage Diff @@
## master #40484 +/- ##
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+ Coverage 56.16% 79.74% +23.57%
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Files 1124 487 -637
Lines 178336 82287 -96049
Branches 1489 0 -1489
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- Hits 100170 65618 -34552
+ Misses 75645 16669 -58976
+ Partials 2521 0 -2521
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| # This is an example of a Beam YAML pipeline that reads from GCS Avro files | ||
| # and writes to Cloud Bigtable. This matches the Dataflow Template located | ||
| # here - https://cloud.google.com/dataflow/docs/guides/templates/provided/avro-to-cloud-bigtable |
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What is our goal in mirroring all of these across both places? Do we intend to keep them totally in sync?
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It looks like we've been doing this for a while, but this seems like an antipattern to me
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Or are we just saying that this has the same functionality as the Java version of this template?
Btw, is there a reason we're back to blueprint terminology? That may be what is confusing me (#39549 (comment))
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