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sparkcontext pyspark

Innocent Iguana answered on February 12, 2024 Popularity 6/10 Helpfulness 8/10

answer sparkcontext pyspark

sparkcontext pyspark

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# Create a context from SparkSession
spark = SparkSession.builder \
    .appName("example") \
    .getOrCreate()
sc = spark.sparkContext

# Alternative : create spark context explicitly
from pyspark import SparkConf, SparkContext
conf = SparkConf().setAppName("YourAppName").setMaster("local[*]") # Set configuration for SparkContext
sc = SparkContext(conf=conf)


print(sc) # Verify SparkContext
print(sc.version) # Print Spark version
print(sc.pythonVer) # Print Python version
print(sc.master) # Print the spark mode

# Loading data (With specified number of partitions)
numRDD = sc.parallelize(range(10), minPartitions = 6)
fileRDD = sc.textFile("README.md", minPartitions = 6)
fileRDD.getNumPartitions() # See number of broken parts

# Create a SparkSession from SparkContext
spark = SparkSession(sc)

Popularity 6/10 Helpfulness 8/10 Language python

Source: Grepper

Tags: pyspark python

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Contributed on Feb 12 2024

Innocent Iguana

0 Answers Avg Quality 2/10

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