Question

Illustrate(by any example) how to add the 'weekday` column to a Spark dataframe by calling Hive functions inside a `mutate` function in R Programming language.

Answer 1

To add the 'weekday' column to a Spark dataframe by calling Hive functions inside a mutate function in R Programming language, you can use the dplyr package. Here's an example: First, install and load the necessary packages: dplyr and sparklyr. Connect to your Spark cluster using the spark_connect() function. Load the data into a Spark dataframe using the sdf_load() function. Use the mutate() function from dplyr to add the 'weekday' column. Inside the mutate() function, you can call Hive functions using the invoke() function and passing it the Hive function name and the necessary arguments. Finally, collect the result using the collect() function.

Step-by-step explanation:

To add the 'weekday' column to a Spark dataframe by calling Hive functions inside a mutate function in R Programming language, you can use the dplyr package.

Here's an example:

1. First, install and load the necessary packages: dplyr and sparklyr.
2. Connect to your Spark cluster using the spark_connect() function.
3. Load the data into a Spark dataframe using the sdf_load() function.
4. Use the mutate() function from dplyr to add the 'weekday' column. Inside the mutate() function, you can call Hive functions using the invoke() function and passing it the Hive function name and the necessary arguments.
5. Finally, collect the result using the collect() function.