Google Cloud Dataflow (Python): function to read from and write to a .csv file? -


i not able figure out precise functions in gcp dataflow python sdk read , write csv files (or non-txt files matter). bigquery, have figured out following functions:

beam.io.read(beam.io.bigquerysource('%table_id%')) beam.io.write(beam.io.bigquerysink('%table_id%'))

for reading textfiles, readfromtext , writetotext functions known me.

however, not able find examples gcp dataflow python sdk in data written or read csv files. please provide gcp dataflow python sdk functions reading , writing csv files in same manner have done functions relating bigquery above?

csv files text files. simplest (though inelegant) way of reading them readfromtext, , split lines read on commas (e.g. beam.map(lambda x: x.split(','))).

for more elegant option, check out this question, or use beam_utils pip repository , use beam_utils.sources.csvfilesource source read from.


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