Batch Processing with Apache Beam in Python

Create an Apache Beam pipeline inside a function and run it from a top-level if block, using a context manager to wrap transforms and set logging to warning.

Configure pipeline options in Apache Beam Python using Pipeline Options to manage custom and default arguments, specify input and output paths, and choose runners like DirectRunner or Dataflow.

Format text lines in a beam pipeline by converting each line string into a list of fields with the map transformation, splitting by commas, and print results to verify locally.

Use a ParDo with a DoFn to compute visit durations from start and end timestamps. Convert strings to datetimes, subtract to get seconds, and yield the IP with the duration.

Call an external API from a DoFn in beam to map IP addresses to countries, using requests to IP API dot com and return country and IP.

Combine the IP map with duration data using a side input in Apache Beam to map each IP to its country and compute the average duration for each country.

Finish an Apache Beam Python pipeline by writing the results to a csv file using the write to text transform, specifying an output prefix and a country-level average session duration.