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Walmart PySpark Interview Question | Data Engineering |
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# Initialize Spark session
.appName("Create Datasets") \
.getOrCreate()
# Define the schema for transactions
transaction_schema = StructType([
StructField("customer_id", IntegerType(), True),
StructField("transaction_type", StringType(), True),
StructField("transaction_amount", FloatType(), True)
])
# Create the transactions DataFrame
transactions_data = [
(1, "credit", 30.0),
(1, "debit", 90.0),
(2, "credit", 50.0),
(3, "debit", 57.0),
(2, "debit", 90.0)
]
# Show the transactions DataFrame
# Define the schema for amounts
amount_schema = StructType([
StructField("customer_id", IntegerType(), True),
StructField("current_amount", FloatType(), True)
])
# Create the amounts DataFrame
amounts_data = [
(1, 1000.0),
(2, 2000.0),
(3, 3000.0),
(4, 4000.0)
]
# Show the amounts DataFrame
This series is for beginners and intermediate level candidates who wants to crack PySpark interviews
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