Comments (2)
Library updates have broken the build/deploy. Failure is here:
apache_beam.coders.coder_impl.FastPrimitivesCoderImpl.encode_special_deterministic TypeError: Unable to deterministically encode '<TableReference datasetId: 'forex' projectId: 'fsi-demo-pres' tableId: 'prices'>' of type '<class 'apache_beam.io.gcp.internal.clients.bigquery.bigquery_v2_messages.TableReference'>', please provide a type hint for the input of 'Write to BigQuery (prices)/_StreamToBigQuery/CommitInsertIds/GroupByKey' [while running 'Write to BigQuery (prices)/_StreamToBigQuery/CommitInsertIds/Map(reify_timestamps)-ptransform-1768936'] passed through: ==> dist_proc/dax/workflow/worker/fnapi_service_impl.cc:644 generic::unknown: Traceback (most recent call last): File
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Pull request:
python beam sdk update -> 2.30.0 #18
from dataflow-fsi-example.
Related Issues (10)
- Move libraries to Vertex AI
- Support multiple concurrent training jobs
- Support multiple currency pairs in startup
- Add delete, project shutdown.
- Review 3M pattern, makefile + docker
- Ensure service accounts (gcp & k8s) are not over-privileged
- Link to Grafana dashboards, add waiter.
- Flatten cloudbuilds.
- Limit maxNumWorkers in Dataflow Streaming Engine
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