Processamento de dados sem servidor com o Dataflow: como criar um Pipeline ETL usando Apache Beam e Dataflow (Python) avaliações

Nitesh R. · Revisado há over 1 year

good ig

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599 Brahma G. · Revisado há over 1 year

The content of the lab is excellent and a very good way of learning how to configure a Dataflow pipeline. But when I try to run the pipelines in the dataflow service, it throws an error "Startup of the worker pool in zone us-central1-c failed to bring up any of the desired 1 workers. ZONE_RESOURCE_POOL_EXHAUSTED. The zone 'projects/qwiklabs-gcp-00-369d3ab044ce/zones/us-central1-c' does not have enough resources available to fulfill the request. Try a different zone, or try again later." Without running the pipeline, I can't check my progress and the lab is not marked as completed, even though I went through all the steps.

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