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 vote202 views1 answer
Set .difference() Operation in python3
Python
1 vote229 views1 answer
Telnet python
Python
0 vote251 views1 answer
Remove element from pack tkinter
Python
3 votes189 views2 answers
Print on two digit python format
Python
2 votes206 views1 answer
Python initialise dataframe
Python
0 vote243 views1 answer
A sorted set in python
Python
4 votes197 views2 answers
Not in python
Python
-1 vote210 views1 answer
Pandas merge_asof direction
Python
0 vote196 views1 answer
Fetch json array from mysql django
Python Django
0 vote224 views1 answer
Torch.cuda.randn
Python