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

0 vote334 views1 answer
Unction which takes in a list of integers and returns a dictionary of the five number summary..
Python
0 vote314 views6 answers
How to choose a random key from a dictionary in python
Python
13 votes325 views3 answers
Python memory usage
Python
12 votes311 views2 answers
How to create dynamic variable names in python
Python
6 votes344 views2 answers
Remove index in pd.read
Python
0 vote324 views1 answer
Bs4 innerhtml
Python
0 vote362 views3 answers
Pandas pivot table
Python
0 vote331 views1 answer
Python get ppretty string representaiton of dictinary
Python
0 vote328 views1 answer
Collections counter sort by value
Python
0 vote315 views1 answer
Python listas por comprension
Python