Understanding SparkR DataFrames
The main component of is a distributed DataFrame called SparkR DataFrames. The Spark DataFrame API is similar to local R DataFrames but scales to large Datasets using Spark's execution engine and the relational query optimizer. It is a distributed collection of data organized into columns similar to a relational database table or an R DataFrame.
Spark DataFrames can be created from many different data sources, such as data files, databases, R DataFrames, and so on. After the data is loaded, developers can use familiar R syntax for performing various operations, such as filtering, aggregations, and merges. SparkR performs a lazy evaluation on DataFrame operations.
Furthermore, SparkR supports many functions on DataFrames, including statistical functions. Â We can also use libraries such as magrittr to chain commands. Developers can execute SQL queries on SparkR DataFrames using the SQL commands. Finally, SparkR DataFrames can be converted into a local R DataFrame...
