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 vote169 views1 answer
Install sorting
Python
1 vote160 views1 answer
Numpy divide array by scalar
Python
3 votes165 views3 answers
Python list contains substring
Python
0 vote153 views1 answer
Kinesis Client get_records example
Python
3 votes154 views2 answers
Different dataframe name with for loop
Python
0 vote155 views1 answer
Python ai for stock trading
Python
6 votes157 views3 answers
Flask cors
Python
12 votes168 views6 answers
Tkinter
Python
1 vote147 views2 answers
Python 3d software
Python
8 votes198 views3 answers
Which python mac
Python