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[SPARK-32073][R] Drop R < 3.5 support #28908

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[SPARK-32073][R] Drop R < 3.5 support #28908

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4 changes: 2 additions & 2 deletions R/WINDOWS.md
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Expand Up @@ -22,8 +22,8 @@ To build SparkR on Windows, the following steps are required

1. Make sure `bash` is available and in `PATH` if you already have a built-in `bash` on Windows. If you do not have, install [Cygwin](https://www.cygwin.com/).

2. Install R (>= 3.1) and [Rtools](https://cloud.r-project.org/bin/windows/Rtools/). Make sure to
include Rtools and R in `PATH`. Note that support for R prior to version 3.4 is deprecated as of Spark 3.0.0.
2. Install R (>= 3.5) and [Rtools](https://cloud.r-project.org/bin/windows/Rtools/). Make sure to
include Rtools and R in `PATH`.

3. Install JDK that SparkR supports (see `R/pkg/DESCRIPTION`), and set `JAVA_HOME` in the system environment variables.

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2 changes: 1 addition & 1 deletion R/pkg/DESCRIPTION
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Expand Up @@ -15,7 +15,7 @@ URL: https://www.apache.org/ https://spark.apache.org/
BugReports: https://spark.apache.org/contributing.html
SystemRequirements: Java (>= 8, < 12)
Depends:
R (>= 3.1),
R (>= 3.5),
methods
Suggests:
knitr,
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4 changes: 0 additions & 4 deletions R/pkg/inst/profile/general.R
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Expand Up @@ -16,10 +16,6 @@
#

.First <- function() {
if (utils::compareVersion(paste0(R.version$major, ".", R.version$minor), "3.4.0") == -1) {
warning("Support for R prior to version 3.4 is deprecated since Spark 3.0.0")
}

packageDir <- Sys.getenv("SPARKR_PACKAGE_DIR")
dirs <- strsplit(packageDir, ",")[[1]]
.libPaths(c(dirs, .libPaths()))
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4 changes: 0 additions & 4 deletions R/pkg/inst/profile/shell.R
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Expand Up @@ -16,10 +16,6 @@
#

.First <- function() {
if (utils::compareVersion(paste0(R.version$major, ".", R.version$minor), "3.4.0") == -1) {
warning("Support for R prior to version 3.4 is deprecated since Spark 3.0.0")
}

home <- Sys.getenv("SPARK_HOME")
.libPaths(c(file.path(home, "R", "lib"), .libPaths()))
Sys.setenv(NOAWT = 1)
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3 changes: 1 addition & 2 deletions docs/index.md
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Expand Up @@ -44,10 +44,9 @@ source, visit [Building Spark](building-spark.html).

Spark runs on both Windows and UNIX-like systems (e.g. Linux, Mac OS), and it should run on any platform that runs a supported version of Java. This should include JVMs on x86_64 and ARM64. It's easy to run locally on one machine --- all you need is to have `java` installed on your system `PATH`, or the `JAVA_HOME` environment variable pointing to a Java installation.

Spark runs on Java 8/11, Scala 2.12, Python 2.7+/3.4+ and R 3.1+.
Spark runs on Java 8/11, Scala 2.12, Python 2.7+/3.4+ and R 3.5+.
Java 8 prior to version 8u92 support is deprecated as of Spark 3.0.0.
Python 2 and Python 3 prior to version 3.6 support is deprecated as of Spark 3.0.0.
R prior to version 3.4 support is deprecated as of Spark 3.0.0.
For the Scala API, Spark {{site.SPARK_VERSION}}
uses Scala {{site.SCALA_BINARY_VERSION}}. You will need to use a compatible Scala version
({{site.SCALA_BINARY_VERSION}}.x).
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