Pyspark name accumulator

# Named accumulators are not available in Python yet
# You can use broadcast variables to see you progress
# Somehow

# Get a spark context sc and read your data into and rdd (or DataFrame)
rows = sc.textFile("/path/to/data/sample_data.txt")
# broadcast an object defined like below
processor = spark.sparkContext.broadcast(Processor())
# Apply this lambda to your rdd
mapped = rows.map(lambda x: processor.value.process(x))
# Other transformations you need to do
sc.stop()

class Processor:
    def process(self, content):
        # either print some output to the screen
        print(content)
        
        # or write to a file
        with open('results.txt', 'a') as f:
            f.write(content + "\n")

        # or call an API to store and count the requests
        requests.get('https://some.external.api/' + content)

        return self.other_processing(content)

Source: stackoverflow.com

Similar codes

1 vote210 views1 answer
Python alphabet to number
Python
5 votes217 views1 answer
Get index in foreach py
Python
1 vote188 views1 answer
Python practice questions on classes and objects
Python
0 vote268 views1 answer
Python - How To Convert Bytearray to String
Python
38 votes179 views2 answers
Python to uppercase
Python
0 vote209 views2 answers
Generate-thumbnails-in-django-with-pil
Python
0 vote182 views1 answer
Django connect to a db on heroku
Python
0 vote180 views1 answer
Logging store info to different files
Python
0 vote189 views1 answer
How to check if a list raises IndexError but wihing a if statement python
Python
0 vote186 views1 answer
Python OPERATORS, Data Types: LIST, SET, TUPLE, DICTIONARY
Python