The code block shown below should create a single-column DataFrame from Scala list years which is made up of integers. Choose the response that correctly fills in the numbered blanks within the code block to complete this task.
Code block:
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To create a single-column DataFrame from a Scala list of integers, the Spark APIs should be used in the following way: First, use spark.createDataset to convert the list into a Dataset. The argument should be the Scala list itself, which is appropriately represented as years in the given code block. The resulting Dataset can then be converted to a DataFrame using the toDF method. Therefore, filling in the blanks, the correct response is: spark.createDataset(years).toDF.
I think it's C C. 1. spark 2. createDataset 3. List(years) 4. toDF it says "Scala list"
It's part of official databricks questions: Question 44 Which of the following code blocks creates a single-column DataFrame from Scala Listyears which is made up of integers? A. spark.createDataset(years).toDF B. spark.createDataFrame(years, IntegerType) C. spark.createDataset(years) D. spark.DataFrame(years, IntegerType) E. spark.createDataFrame(years) --> and the answer here is A.
spark.createDataset(years).toDF, to avoid confuse, it's answer C here, and answer A on official databruicks questions. :)
I think C is correct, but the result is a DataFrame with a single row whose value is a list of Integers, not a row for each element in the list. None of the other choices makes sense though.