The code block shown below should read a parquet at the file path filePath into a DataFrame. Choose the response that correctly fills in the numbered blanks within the code block to complete this…

The correct answer is B. 1. spark. To read a Parquet file into a DataFrame in PySpark, the correct syntax is spark.read.parquet(filePath). The blanks are: 1. spark (the SparkSession), 2. read (the DataFrameReader), 3. parquet (the format-specific method), 4. filePath (the path string). Choice D incorrectly…

Data Ingestion and Transformations

Question

The code block shown below should read a parquet at the file path filePath into a DataFrame. Choose the response that correctly fills in the numbered blanks within the code block to complete this task. Code block:

1.2.3(4)

Options

A1.spark
B
1. spark
C
1. spark
D
1. storesDF
E
1. spark

How the community answered

(48 responses)

A
2% (1)
B
88% (42)
C
6% (3)
D
4% (2)

Explanation

To read a Parquet file into a DataFrame in PySpark, the correct syntax is spark.read.parquet(filePath). The blanks are: 1. spark (the SparkSession), 2. read (the DataFrameReader), 3. parquet (the format-specific method), 4. filePath (the path string). Choice D incorrectly starts with storesDF (a DataFrame) instead of spark. Other choices likely differ in the method names used for blanks 2 and 3, such as using format('parquet').load() instead of the shorthand .parquet().

Topics

#Spark DataFrames#Data Ingestion#Parquet Format#SparkSession

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