[
https://issues.apache.org/jira/browse/SPARK-24535?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16530963#comment-16530963
]
Felix Cheung edited comment on SPARK-24535 at 7/3/18 7:50 AM:
--------------------------------------------------------------
ok, I submitted a modified package to win-builder, and was able to confirm the
problem with launchScript. updating with the fix, result here
[https://win-builder.r-project.org/zD6OfPID9JtR/00check.log]
basically, I don't think launchScript(.. wait = T) is working on Windows.
was (Author: felixcheung):
ok, I submitted a modified package to win-builder, and was able to confirm the
problem with launchScript. updating with the fix, result here
https://win-builder.r-project.org/zD6OfPID9JtR/00check.log
> Fix java version parsing in SparkR on Windows
> ---------------------------------------------
>
> Key: SPARK-24535
> URL: https://issues.apache.org/jira/browse/SPARK-24535
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Affects Versions: 2.3.1, 2.4.0
> Reporter: Shivaram Venkataraman
> Assignee: Felix Cheung
> Priority: Blocker
>
> We see errors on CRAN of the form
> {code:java}
> java version "1.8.0_144"
> Java(TM) SE Runtime Environment (build 1.8.0_144-b01)
> Java HotSpot(TM) 64-Bit Server VM (build 25.144-b01, mixed mode)
> Picked up _JAVA_OPTIONS: -XX:-UsePerfData
> -- 1. Error: create DataFrame from list or data.frame (@test_basic.R#21)
> ------
> subscript out of bounds
> 1: sparkR.session(master = sparkRTestMaster, enableHiveSupport = FALSE,
> sparkConfig = sparkRTestConfig) at
> D:/temp/RtmpIJ8Cc3/RLIBS_3242c713c3181/SparkR/tests/testthat/test_basic.R:21
> 2: sparkR.sparkContext(master, appName, sparkHome, sparkConfigMap,
> sparkExecutorEnvMap,
> sparkJars, sparkPackages)
> 3: checkJavaVersion()
> 4: strsplit(javaVersionFilter[[1]], "[\"]")
> {code}
> The complete log file is at
> http://home.apache.org/~shivaram/SparkR_2.3.1_check_results/Windows/00check.log
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
