getting error while trying to read athena table in spark - apache-spark

Question

I have the following code snippet in pyspark:
import pandas as pd
from pyspark import SparkContext, SparkConf
from pyspark.context import SparkContext
from pyspark.sql import Row, SQLContext, SparkSession
import pyspark.sql.dataframe
def validate_data():
conf = SparkConf().setAppName("app")
spark = SparkContext(conf=conf)
config = {
"val_path" : "s3://forecasting/data/validation.csv"
}
data1_df = spark.read.table("db1.data_dest”)
data2_df = spark.read.table("db2.data_source”)
print(data1_df.count())
print(data2_df.count())
if __name__ == "__main__":
validate_data()
Now this code works fine when run on jupyter notebook on sagemaker ( connecting to EMR )
but when we are running as a python script on terminal, its throwing this error
Error message
AttributeError: 'SparkContext' object has no attribute 'read'
We have to automate these notebooks, so we are trying to convert them to python scripts

Answer 1

You can only call read on a Spark Session, not on a Spark Context.
from pyspark import SparkContext, SparkConf
from pyspark.sql import SparkSession
conf = SparkConf().setAppName("app")
spark = SparkSession.builder.config(conf=conf)
Or you can convert the Spark context to a Spark session
conf = SparkConf().setAppName("app")
sc = SparkContext(conf=conf)
spark = SparkSession(sc)