python - How to convert csv into a dictionary in apache beam dataflow

Question

I would like to read a csv file and write it to BigQuery using apache beam dataflow. In order to do this I need to present the data to BigQuery in the form of a dictionary. How can I transform the data using apache beam in order to do this?

My input csv file has two columns, and I want to create a subsequent two column table in BigQuery. I know how to create data in BigQuery, thats straight forward, what I don't know is how to transform the csv into a dictionary. The below code is not correct but should give an idea of what i'm trying to do.

# Standard imports
import apache_beam as beam
# Create a pipeline executing on a direct runner (local, non-cloud).
p = beam.Pipeline('DirectPipelineRunner')
# Create a PCollection with names and write it to a file.
(p
| 'read solar data' >> beam.Read(beam.io.TextFileSource('./sensor1_121116.csv'))
# How do you do this??
| 'convert to dictionary' >> beam.Map(lambda (k, v): {'luminosity': k, 'datetime': v})
| 'save' >> beam.Write(
   beam.io.BigQuerySink(
   output_table,
   schema='month:INTEGER, tornado_count:INTEGER',
   create_disposition=beam.io.BigQueryDisposition.CREATE_IF_NEEDED,
   write_disposition=beam.io.BigQueryDisposition.WRITE_TRUNCATE)))
p.run()

Answer 1

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