Explanation:
To read a Parquet file into a DataFrame, the correct sequence starts with the SparkSession (spark), followed by .read, and then specifying the Parquet file using .parquet(filePath). Option C (4, 3, 6) correctly chains these steps as spark.read.parquet(filePath). Other options are invalid due to incorrect method calls (e.g., .read() instead of .read) or incorrect parameters (e.g., source="parquet" instead of format="parquet").
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In what order should the below lines of code be run in order to read a parquet at the file path filePath into a DataFrame?
Lines of code:
(1) storesDF
(2) .load(filePath, source = "parquet")
(3) .read
(4) spark
(5) .read()
(6) .parquet(filePath)
A
1, 5, 2
B
4, 5, 2
C
4, 3, 6
D
4, 5, 6
E
4, 3, 2