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updating dataflow documentation
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@@ -43,9 +43,14 @@ python -m analyse_properties.main \
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--project street-group \
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--temp_location gs://street-group-technical-test-dmot-euw1/tmp \
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--subnetwork=https://www.googleapis.com/compute/v1/projects/street-group/regions/europe-west1/subnetworks/europe-west-1-dataflow \
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--no_use_public_ips
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--no_use_public_ips \
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--worker_machine_type=n1-highmem-8
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```
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—-disk_size_gb=50 \
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### Locally
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Run the pipeline locally:
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@@ -64,3 +69,17 @@ Running in its own private VPC without public IPs
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- <https://stackoverflow.com/questions/58893082/which-compute-engine-quotas-need-to-be-updated-to-run-dataflow-with-50-workers>
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- <https://cloud.google.com/dataflow/docs/guides/specifying-networks#subnetwork_parameter>
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Error help
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- <https://cloud.google.com/dataflow/docs/guides/common-errors>
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- <https://cloud.google.com/dataflow/docs/guides/troubleshooting-your-pipeline>
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Scaling
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Using DataFlowPrime: <https://cloud.google.com/dataflow/docs/guides/enable-dataflow-prime#enable-prime>
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Use `--experiments=enable_prime`
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Deploying a pipeline (with scaling options): <https://cloud.google.com/dataflow/docs/guides/deploying-a-pipeline>
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Available VM types (with pricing): <https://cloud.google.com/compute/vm-instance-pricing#n1_predefined>
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