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Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

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Since porting to 2.1.0, Dataflow is leaving Datasets/Tables behind in BigQuery when the pipeline is cancelled or when it fails. We've been on 1.8.0/1.9.0 previous to this, and we've never...

I'm doing a simple batch-job, that I'm implementing as a template. It is supposed to read data from BigQuery. Everything works fine on the first run, but all subsequent executions...

I am running a BigQueryIO like BigQueryIO.Read.usingStandardSql().fromQuery("SELECT * FROM `foo-bar-123456.category_view.markets` LIMIT 1000") but seeing this error, "The user [email protected] does not have bigquery.tables.get permission for table foo-bar-123456.category.markets" which `category` is...

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For both working on the SDK and building Dataflow pipelines, it would be useful if there was an easy way to get profiles from the execution of code on the...

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I'm not expecting this to be done. But I do want to highlight the UseCase I have for this. My environment is as follows. 1. I only allow templates to...

It is not possible to launch a templated dataflow that accepts an option in the form of `ValueProvider`, despite support for Lists within the `ValueProvider` class. I'm not sure if...