HyukjinKwon opened a new pull request #32709:
URL: https://github.com/apache/spark/pull/32709
### What changes were proposed in this pull request?
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)
```
### Why are the changes needed?
Higher R versions have bug fixes and improvements. More importantly R users
tend to use highest R versions.
### Does this PR introduce _any_ user-facing change?
Yes, SparkR will work together with R 4.1.0+
### How was this patch tested?
CI
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