[SPARK-35573][R][TESTS] Make SparkR tests pass with R 4.1+

This PR proposes to support R 4.1.0+ in SparkR. Currently the tests are being failed as below:

```
══ Failed ══════════════════════════════════════════════════════════════════════
── 1. Failure (test_sparkSQL_arrow.R:71:3): createDataFrame/collect Arrow optimi
collect(createDataFrame(rdf)) not equal to `expected`.
Component “g”: 'tzone' attributes are inconsistent ('UTC' and '')

── 2. Failure (test_sparkSQL_arrow.R:143:3): dapply() Arrow optimization - type
collect(ret) not equal to `rdf`.
Component “b”: 'tzone' attributes are inconsistent ('UTC' and '')

── 3. Failure (test_sparkSQL_arrow.R:229:3): gapply() Arrow optimization - type
collect(ret) not equal to `rdf`.
Component “b”: 'tzone' attributes are inconsistent ('UTC' and '')

── 4. Error (test_sparkSQL.R:1454:3): column functions ─────────────────────────
Error: (converted from warning) cannot xtfrm data frames
Backtrace:
  1. base::sort(collect(distinct(select(df, input_file_name())))) test_sparkSQL.R:1454:2
  2. base::sort.default(collect(distinct(select(df, input_file_name()))))
  5. base::order(x, na.last = na.last, decreasing = decreasing)
  6. base::lapply(z, function(x) if (is.object(x)) as.vector(xtfrm(x)) else x)
  7. base:::FUN(X[[i]], ...)
 10. base::xtfrm.data.frame(x)

── 5. Failure (test_utils.R:67:3): cleanClosure on R functions ─────────────────
`actual` not equal to `g`.
names for current but not for target
Length mismatch: comparison on first 0 components

── 6. Failure (test_utils.R:80:3): cleanClosure on R functions ─────────────────
`actual` not equal to `g`.
names for current but not for target
Length mismatch: comparison on first 0 components
```

It fixes three as below:

- Avoid a sort on DataFrame which isn't legitimate: apache#32709 (comment)
- Treat the empty timezone and local timezone as equivalent in SparkR: apache#32709 (comment)
- Disable `check.environment` in the cleaned closure comparison (enabled by default from R 4.1+, https://cran.r-project.org/doc/manuals/r-release/NEWS.html), and keep the test as is apache#32709 (comment)

Higher R versions have bug fixes and improvements. More importantly R users tend to use highest R versions.

Yes, SparkR will work together with R 4.1.0+

```bash
./R/run-tests.sh
```

```
sparkSQL_arrow:
SparkSQL Arrow optimization: .................

...

sparkSQL:
SparkSQL functions: ........................................................................................................................................................................................................
........................................................................................................................................................................................................
........................................................................................................................................................................................................
........................................................................................................................................................................................................
........................................................................................................................................................................................................
........................................................................................................................................................................................................

...

utils:
functions in utils.R: ..............................................
```

Closes apache#32709 from HyukjinKwon/SPARK-35573.

Authored-by: Hyukjin Kwon <gurwls223@apache.org>
Signed-off-by: Hyukjin Kwon <gurwls223@apache.org>

R/pkg/tests/fulltests/test_sparkSQL.R

@@ -1267,6 +1267,11 @@ test_that("column functions", {
   expect_equal(collect(df2)[[3, 1]], FALSE)
   expect_equal(collect(df2)[[3, 2]], TRUE)
 
+  # Test that input_file_name()
+  actual_names <- collect(distinct(select(df, input_file_name())))
+  expect_equal(length(actual_names), 1)
+  expect_equal(basename(actual_names[1, 1]), basename(jsonPath))
+
   df3 <- select(df, between(df$name, c("Apache", "Spark")))
   expect_equal(collect(df3)[[1, 1]], TRUE)
   expect_equal(collect(df3)[[2, 1]], FALSE)

R/pkg/tests/fulltests/test_utils.R

@@ -64,7 +64,12 @@ test_that("cleanClosure on R functions", {
   actual <- get("y", envir = env, inherits = FALSE)
   expect_equal(actual, y)
   actual <- get("g", envir = env, inherits = FALSE)
-  expect_equal(actual, g)
+  if (as.numeric(R.Version()$major) >= 4 && !startsWith(R.Version()$minor, "0")) {
+    # 4.1+ checks environment in the function
+    expect_true(all.equal(actual, g, check.environment = FALSE))
+  } else {
+    expect_equal(actual, g)
+  }
 
   # Test for nested enclosures and package variables.
   env2 <- new.env()
@@ -77,7 +82,12 @@ test_that("cleanClosure on R functions", {
   actual <- get("y", envir = env, inherits = FALSE)
   expect_equal(actual, y)
   actual <- get("g", envir = env, inherits = FALSE)
-  expect_equal(actual, g)
+  if (as.numeric(R.Version()$major) >= 4 && !startsWith(R.Version()$minor, "0")) {
+    # 4.1+ checks environment in the function
+    expect_true(all.equal(actual, g, check.environment = FALSE))
+  } else {
+    expect_equal(actual, g)
+  }
 
   base <- c(1, 2, 3)
   l <- list(field = matrix(1))