Explanation:
The correct answer is A because it uses withColumn to add a new column named openDateString, from_unixtime to convert the UNIX epoch time from the openDate column to a formatted string, and the correct format string "EEEE, MMM d, yyyy h:mm a" to achieve the desired output. Option B incorrectly uses date_format which is not suitable for converting UNIX epoch time directly. Options C, D, and E contain typos or incorrect functions and format strings, making them invalid choices.
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Given a DataFrame storesDF with an integer column openDate representing UNIX epoch timestamps, which code snippet correctly converts these timestamps to a string representation using Java's SimpleDateFormat?
The DataFrame structure is as follows:
storeId openDate
0 1100746394
1 1474410343
2 1116610009
3 1180035265
4 1408024997
storeId openDate
0 1100746394
1 1474410343
2 1116610009
3 1180035265
4 1408024997
Fill in the blanks in the following code block to achieve this conversion:
storesDF.__1__("openDateString", __2__(__3__, __4__))
storesDF.__1__("openDateString", __2__(__3__, __4__))
A
B
C
D
E
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