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  • r - Installing of SparkR - Stack Overflow
    I also faced similar issue while trying to play with SparkR in EMR with Spark 2 0 0 I'll post the steps here that I followed to install rstudio server, SparkR, sparklyr, and finally connecting to a spark session in a EMR cluster:
  • r - SparkR vs sparklyr - Stack Overflow
    As I don't see too many answers which are in favour sparkR I just want to mention that as a newbie I started learning them both and I see that sparkR api is more closely related to the one I use with standard scala-spark As I study them both I mean I want to use rstudio and also scala, I need to choose between sparkr and sparklyr Learning
  • r - Using SparkR, how to split a string column into n multiple . . .
    This is a pure Spark solution without using SparkR::collect() If the column of the given Spark dataframe has the certain number of separators, here is my solution with the following assumptions: If the column of the given Spark dataframe has the certain number of separators, here is my solution with the following assumptions:
  • How to access a DataFrame created with PySpark using SparkR?
    According to the Spark stack diagram (on the first reference you indicated) both sparkR and PySpark are two API languages that access commonly the SQL, Dataframe and Dataset from the analytical API My understanding is that both languages API are interfacing the same Dataframe API, therefore I do not understand why a Dataframe object should be
  • r - SparkR - cast to date format - Stack Overflow
    SparkR - cast to date format Ask Question Asked 7 years, 8 months ago Modified 6 years, 5 months ago
  • r - SparkR distinct (on databricks) - Stack Overflow
    I am new to SparkR, so please forgive if my question is very basic I work on databricks and try to get all unique dates of a column of a SparkDataFrame When I run: uniquedays lt;- SparkR::dis
  • hadoop - How to load large R data. frames into Spark using SparkRs as . . .
    My goal is to load large R data frame into Spark The size of the data frame is 5 mil rows and 7 columns of various types Once loaded into R, this data frame takes up approx 200mb of memory How
  • r - SparkR: unable to create the Spark session - Stack Overflow
    Ask questions, find answers and collaborate at work with Stack Overflow for Teams Try Teams for free Explore Teams
  • Can `data. table` be used safely instead of `dplyr` with `sparkR . . .
    I am refreshing my H2O on Spark knowledge using RStudio Spark Extensions as one of the sources Frankly everywhere I look, I find dplyr's unnecessarily convoluted efforts in coming out with even simplest results quite painful if not opaque in most cases





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