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KafkaIO implementation for feast #19
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baskaranz
commented
Dec 27, 2018
- Support for reading message from kafka topics as FeatureRow using Apache Beam's KafkaIO implementation
- Profiles to building ingestion jar for specific runners (flink, dataflow and direct)
- Minor refactoring
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looks good to me :)
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LGTM
} catch (IOException e) { | ||
log.error("Exception while setting gcp credential manually : ", e.getMessage()); | ||
} | ||
log.info("options: " + options.toString()); |
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This doesn't print out the credentials, right?
This looks mostly good, but I don't think this should have been merged so quickly.
I'd suggest we revert this and fix the build at least. |
…_manager Databricks job manager
Closes KE-712, KE-738 Deploys an IaC environment with Feast and Databricks, and runs e2e tests with Redis (using DirectRunner for now, as tests with Databricks runner depend on PR feast-dev#19 and currently fail with timeout issues) Deletes infra/charts/feast/charts/feast-serving/templates/configmap-store.yaml (To be reviewed)Closes KE-712, KE-738 Deploys an IaC environment with Feast and Databricks, and runs e2e tests with Redis (using DirectRunner for now, as tests with Databricks runner depend on PR feast-dev#19 and currently fail with timeout issues) Deletes infra/charts/feast/charts/feast-serving/templates/configmap-store.yaml
Feast RBAC Model