Questions tagged [google-cloud-dataflow]

Google Cloud Dataflow stands out as an all-encompassing cloud solution specially designed for the seamless creation and assessment of large-scale data processing pipelines. These pipelines, which are built on the Apache Beam programming model, have the flexibility to function within batch and streaming modes. Additionally, it's worth mentioning that Cloud Dataflow is an integral component of the Google Cloud Platform.

What is the best way to serialize data when a writer subclass of iobase.write is responsible for writing records to a local server, and the writer process is distributed

The information in the "Custom Sources and Sinks (Python)" document (https://cloud.google.com/dataflow/model/custom-io-python) explains how the writing process involves multiple workers. How does the "finalize_write" method of the custom Sink handle worke ...

pythongoogle-cloud-dataflowdataflow

Having trouble establishing a connection to a cloud SQL instance (SQL server) from the GCP Dataflow Python environment

Currently, I am in a GCP Dataflow environment running a Python Jupyter Notebook. My next task is to establish a connection to a SQL server database located on the GCP Cloud SQL platform. Both the Dataflow environment and the Cloud SQL database are within t ...

pythongoogle-cloud-dataflowgoogle-cloud-sql