[SPARK-29936][R][2.4] Fix SparkR lint errors and add lint-r GitHub Action

### What changes were proposed in this pull request?

This PR fixes SparkR lint errors and adds `lint-r` GitHub Action to protect the branch.

### Why are the changes needed?

It turns out that we currently don't run it. It's recovered yesterday. However, after that, our Jenkins linter jobs (`master`/`branch-2.4`) has been broken on `lint-r` tasks.

### Does this PR introduce any user-facing change?

No.

### How was this patch tested?

Pass the GitHub Action on this PR in addition to Jenkins R.

Closes #26568 from dongjoon-hyun/SPARK-29936-2.

Authored-by: Dongjoon Hyun <[email protected]>
Signed-off-by: HyukjinKwon <[email protected]>

Author: dongjoon-hyun

.github/workflows/branch-2.4.yml

@@ -50,7 +50,7 @@ jobs:
 
   lint:
     runs-on: ubuntu-latest
-    name: Linters
+    name: Linters (Java/Scala/Python), licenses, dependencies
     steps:
     - uses: actions/checkout@master
     - uses: actions/setup-java@v1
@@ -72,3 +72,26 @@ jobs:
       run: ./dev/check-license
     - name: Dependencies
       run: ./dev/test-dependencies.sh
+
+  lintr:
+    runs-on: ubuntu-latest
+    name: Linter (R)
+    steps:
+    - uses: actions/checkout@master
+    - uses: actions/setup-java@v1
+      with:
+        java-version: '1.8'
+    - name: install R
+      run: |
+        echo 'deb https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/' | sudo tee -a /etc/apt/sources.list
+        sudo apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E298A3A825C0D65DFD57CBB651716619E084DAB9
+        sudo apt-get update
+        sudo apt-get install -y r-base r-base-dev libcurl4-openssl-dev
+    - name: install R packages
+      run: |
+        sudo Rscript -e "install.packages(c('curl', 'xml2', 'httr', 'devtools', 'testthat', 'knitr', 'rmarkdown', 'roxygen2', 'e1071', 'survival'), repos='https://cloud.r-project.org/')"
+        sudo Rscript -e "devtools::install_github('jimhester/[email protected]')"
+    - name: package and install SparkR
+      run: ./R/install-dev.sh
+    - name: lint-r
+      run: ./dev/lint-r

R/pkg/.lintr

@@ -1,2 +1,2 @@
-linters: with_defaults(line_length_linter(100), multiple_dots_linter = NULL, object_name_linter = NULL, camel_case_linter = NULL, open_curly_linter(allow_single_line = TRUE), closed_curly_linter(allow_single_line = TRUE))
+linters: with_defaults(line_length_linter(100), multiple_dots_linter = NULL, object_name_linter = NULL, camel_case_linter = NULL, open_curly_linter(allow_single_line = TRUE), closed_curly_linter(allow_single_line = TRUE), object_usage_linter = NULL, cyclocomp_linter = NULL)
 exclusions: list("inst/profile/general.R" = 1, "inst/profile/shell.R")

R/pkg/R/DataFrame.R

@@ -2198,7 +2198,7 @@ setMethod("mutate",
 
             # The last column of the same name in the specific columns takes effect
             deDupCols <- list()
-            for (i in 1:length(cols)) {
+            for (i in seq_len(length(cols))) {
               deDupCols[[ns[[i]]]] <- alias(cols[[i]], ns[[i]])
             }
 
@@ -2362,7 +2362,7 @@ setMethod("arrange",
             # builds a list of columns of type Column
             # example: [[1]] Column Species ASC
             #          [[2]] Column Petal_Length DESC
-            jcols <- lapply(seq_len(length(decreasing)), function(i){
+            jcols <- lapply(seq_len(length(decreasing)), function(i) {
               if (decreasing[[i]]) {
                 desc(getColumn(x, by[[i]]))
               } else {
@@ -2694,7 +2694,7 @@ genAliasesForIntersectedCols <- function(x, intersectedColNames, suffix) {
     col <- getColumn(x, colName)
     if (colName %in% intersectedColNames) {
       newJoin <- paste(colName, suffix, sep = "")
-      if (newJoin %in% allColNames){
+      if (newJoin %in% allColNames) {
         stop("The following column name: ", newJoin, " occurs more than once in the 'DataFrame'.",
           "Please use different suffixes for the intersected columns.")
       }
@@ -3393,7 +3393,7 @@ setMethod("str",
             cat(paste0("'", class(object), "': ", length(names), " variables:\n"))
 
             if (nrow(localDF) > 0) {
-              for (i in 1 : ncol(localDF)) {
+              for (i in seq_len(ncol(localDF))) {
                 # Get the first elements for each column
 
                 firstElements <- if (types[i] == "character") {

R/pkg/R/SQLContext.R

@@ -254,7 +254,7 @@ createDataFrame.default <- function(data, schema = NULL, samplingRatio = 1.0,
       as.list(schema)
     }
     if (is.null(names)) {
-      names <- lapply(1:length(row), function(x) {
+      names <- lapply(seq_len(length(row)), function(x) {
         paste("_", as.character(x), sep = "")
       })
     }
@@ -270,7 +270,7 @@ createDataFrame.default <- function(data, schema = NULL, samplingRatio = 1.0,
     })
 
     types <- lapply(row, infer_type)
-    fields <- lapply(1:length(row), function(i) {
+    fields <- lapply(seq_len(length(row)), function(i) {
       structField(names[[i]], types[[i]], TRUE)
     })
     schema <- do.call(structType, fields)

R/pkg/R/context.R

@@ -412,7 +412,7 @@ spark.getSparkFiles <- function(fileName) {
 #' @examples
 #'\dontrun{
 #' sparkR.session()
-#' doubled <- spark.lapply(1:10, function(x){2 * x})
+#' doubled <- spark.lapply(1:10, function(x) {2 * x})
 #'}
 #' @note spark.lapply since 2.0.0
 spark.lapply <- function(list, func) {

R/pkg/R/group.R

@@ -162,7 +162,7 @@ methods <- c("avg", "max", "mean", "min", "sum")
 #' @note pivot since 2.0.0
 setMethod("pivot",
           signature(x = "GroupedData", colname = "character"),
-          function(x, colname, values = list()){
+          function(x, colname, values = list()) {
             stopifnot(length(colname) == 1)
             if (length(values) == 0) {
               result <- callJMethod(x@sgd, "pivot", colname)

R/pkg/R/utils.R

@@ -131,7 +131,7 @@ hashCode <- function(key) {
     } else {
       asciiVals <- sapply(charToRaw(key), function(x) { strtoi(x, 16L) })
       hashC <- 0
-      for (k in 1:length(asciiVals)) {
+      for (k in seq_len(length(asciiVals))) {
         hashC <- mult31AndAdd(hashC, asciiVals[k])
       }
       as.integer(hashC)
@@ -724,7 +724,7 @@ assignNewEnv <- function(data) {
   stopifnot(length(cols) > 0)
 
   env <- new.env()
-  for (i in 1:length(cols)) {
+  for (i in seq_len(length(cols))) {
     assign(x = cols[i], value = data[, cols[i], drop = F], envir = env)
   }
   env
@@ -750,7 +750,7 @@ launchScript <- function(script, combinedArgs, wait = FALSE, stdout = "", stderr
   if (.Platform$OS.type == "windows") {
     scriptWithArgs <- paste(script, combinedArgs, sep = " ")
     # on Windows, intern = F seems to mean output to the console. (documentation on this is missing)
-    shell(scriptWithArgs, translate = TRUE, wait = wait, intern = wait) # nolint
+    shell(scriptWithArgs, translate = TRUE, wait = wait, intern = wait)
   } else {
     # http://stat.ethz.ch/R-manual/R-devel/library/base/html/system2.html
     # stdout = F means discard output

R/pkg/inst/worker/worker.R

@@ -181,7 +181,7 @@ if (isEmpty != 0) {
                     colNames, computeFunc, data)
        } else {
         # gapply mode
-        for (i in 1:length(data)) {
+        for (i in seq_len(length(data))) {
           # Timing reading input data for execution
           inputElap <- elapsedSecs()
           output <- compute(mode, partition, serializer, deserializer, keys[[i]],

R/pkg/tests/fulltests/test_sparkSQL.R

@@ -181,7 +181,7 @@ test_that("structField type strings", {
   typeList <- c(primitiveTypes, complexTypes)
   typeStrings <- names(typeList)
 
-  for (i in seq_along(typeStrings)){
+  for (i in seq_along(typeStrings)) {
     typeString <- typeStrings[i]
     expected <- typeList[[i]]
     testField <- structField("_col", typeString)
@@ -212,7 +212,7 @@ test_that("structField type strings", {
   errorList <- c(primitiveErrors, complexErrors)
   typeStrings <- names(errorList)
 
-  for (i in seq_along(typeStrings)){
+  for (i in seq_along(typeStrings)) {
     typeString <- typeStrings[i]
     expected <- paste0("Unsupported type for SparkDataframe: ", errorList[[i]])
     expect_error(structField("_col", typeString), expected)

dev/lint-r.R

@@ -27,7 +27,7 @@ if (! library(SparkR, lib.loc = LOCAL_LIB_LOC, logical.return = TRUE)) {
 # Installs lintr from Github in a local directory.
 # NOTE: The CRAN's version is too old to adapt to our rules.
 if ("lintr" %in% row.names(installed.packages()) == FALSE) {
-  devtools::install_github("jimhester/lintr@5431140")
+  devtools::install_github("jimhester/lintr@v2.0.0")
 }
 
 library(lintr)