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https://issues.apache.org/jira/browse/SPARK-34791?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17463635#comment-17463635
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Tinus Chen commented on SPARK-34791:
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I also encountered the same situation in R-4.1.1 with Apache Spark 3.1.2
错误: 节点堆叠上溢 i.e. -> Error: node stack overflow
> sessionInfo()
R version 4.1.1 (2021-08-10)
Platform: x86_64-apple-darwin17.0 (64-bit)
Running under: macOS Sierra 10.12.6
> SparkR throws node stack overflow
> ---------------------------------
>
> Key: SPARK-34791
> URL: https://issues.apache.org/jira/browse/SPARK-34791
> Project: Spark
> Issue Type: Question
> Components: SparkR
> Affects Versions: 3.0.1
> Reporter: obfuscated_dvlper
> Priority: Major
>
> SparkR throws "node stack overflow" error upon running code (sample below) on
> R-4.0.2 with Spark 3.0.1.
> Same piece of code works on R-3.3.3 with Spark 2.2.1 (& SparkR 2.4.5)
> {code:java}
> source('sample.R')
> myclsr = myclosure_func()
> myclsr$get_some_date('2021-01-01')
> ## spark.lapply throws node stack overflow
> result = spark.lapply(c('2021-01-01', '2021-01-02'), function (rdate) {
> source('sample.R')
> another_closure = myclosure_func()
> return(another_closure$get_some_date(rdate))
> })
> {code}
> Sample.R
> {code:java}
> ## util function, which calls itself
> getPreviousBusinessDate <- function(asofdate) {
> asdt <- asofdate;
> asdt <- as.Date(asofdate)-1;
> wd <- format(as.Date(asdt),"%A")
> if(wd == "Saturday" | wd == "Sunday") {
> return (getPreviousBusinessDate(asdt));
> }
> return (asdt);
> }
> ## closure which calls util function
> myclosure_func = function() {
> myclosure = list()
> get_some_date = function (random_date) {
> return (getPreviousBusinessDate(random_date))
> }
> myclosure$get_some_date = get_some_date
> return(myclosure)
> }
> {code}
> This seems to have caused by sourcing sample.R twice. Once before invoking
> Spark session and another within Spark session.
>
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