[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user shivaram commented on the issue: https://github.com/apache/spark/pull/14433 Merged into master --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user shivaram commented on the issue: https://github.com/apache/spark/pull/14433 LGTM. Thanks @wangmiao1981 -- I'll keep this open for a bit to see if there are any more comments. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 @shivaram I simplified the solution by only changing the message as we discussed. Thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 Any further comments? Thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 Jenkins, retest this please. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 `args.primaryResource` is good for this purpose. I can make change similar to my initial commit but checking against `args.primaryResource`. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/14433 that's a good point actually - how about we use `args.primaryResource` or `args.isR` that already exists in SparkSubmit? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user srowen commented on the issue: https://github.com/apache/spark/pull/14433 It feels like some overkill unless there are going to be more uses for changing logic based on whether it's running a shell. It seems not so bad to define `setRootLevel` in Scala as an alias when in the shell, or define something in SparkR, or just change the log message to note the two possibilities. Is there more need for this logic? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/14433 @srowen @vanzin what do you think? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 @felixcheung, Any comments on the new change? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 @felixcheung I think SparkSubmitAction is good for this purpose. We might have to make the scope as [spark] instead of [deploy]. So it can be used in other components if needed. I will create the Enum object accordingly. Thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/14433 Can we have this like [SparkSubmitAction](https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/deploy/SparkSubmit.scala#L55) that extends `Enumeration`? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue:
https://github.com/apache/spark/pull/14433
@felixcheung I have an idea of creating an Enum object in scala, like the
example below:
object WeekDay {
sealed trait EnumVal
case object Mon extends EnumVal
case object Tue extends EnumVal
case object Wed extends EnumVal
case object Thu extends EnumVal
case object Fri extends EnumVal
val daysOfWeek = Seq(Mon, Tue, Wed, Thu, Fri)
}
I create a private API of setting the Enum value to a private variable and
a public API of checking the shell type by returning Option[Shell_type]. If
return value is NULL, it is not a shell otherwise, it returns the correct shell
type.
How do you think about this approach?
Thanks!
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 @felixcheung I don't find a better way other than checking the string either passed by resource or by the class name. Do you have any good ideas? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 @felixcheung Since all shell instances (i.e., spark-shell, pyspark and sparkR) are initialized through spark-submit script, I think a possible solution is to set a status flag in SparkSubmit object when shell is initialized. Then, we can create a API public to [spark] for by checking the flag. What do you think? Thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 I am investigating a solution now. Either today or tomorrow, I can give an update. Thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/14433 Sure - but one is an subset of another (ie. knowing it's the sparkR shell means it is running a shell) I don't feel strongly about and we could come back later on, but thought less fragmentation would be nice. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 @felixcheung Checking whether it is running from shell is not exactly the same as checking which shell is calling it. My approach is depends on the fact that the Logging trait is used in three different gateway objects. Let me check if there is a better way to do that. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/14433 I think both checks are a bit fragile and would be great to a single way to check if running as shell that is shared, and that could be what SparkSubmit.scala call as well. Would be better not to have 3 different ways to check if running as shell, right? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 @felixcheung "I think we might have a need to create a helper for "am I running in the SparkR shell" function?" Do you mean for #14258 ? Not for this PR, right? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/14433 awesome! I think we might have a need to create a helper for "am I running in the SparkR shell" function? https://github.com/apache/spark/pull/14258#issuecomment-236336042 --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 @felixcheung I checked which object calls the log and print message accordingly. ./bin/sparkR R version 3.3.0 (2016-05-03) -- "Supposedly Educational" Copyright (C) 2016 The R Foundation for Statistical Computing Platform: x86_64-apple-darwin13.4.0 (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. Natural language support but running in an English locale R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. [Previously saved workspace restored] Launching java with spark-submit command /Users/mwang/spark_ws_0904/bin/spark-submit "sparkr-shell" /var/folders/s_/83b0sgvj2kl2kwq4stvft_pmgn/T//Rtmpi4dP8y/backend_portb9fa113abad2 Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties Setting default log level to "WARN". To adjust logging level use setLogLevel(newLevel). ./bin/spark-shell Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). ./bin/pyspark Python 2.7.11 |Anaconda 2.4.0 (x86_64)| (default, Dec 6 2015, 18:57:58) [GCC 4.2.1 (Apple Inc. build 5577)] on darwin Type "help", "copyright", "credits" or "license" for more information. Anaconda is brought to you by Continuum Analytics. Please check out: http://continuum.io/thanks and https://anaconda.org Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 Jenkins, re-test this please. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 The failure seems unrelated to the change. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 @felixcheung I will try to retrieve terminal/shell type before printing out the message. I will update the PR if I can find a way of doing that. Thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/14433 https://github.com/apache/spark/blob/master/core/src/main/scala/org/apache/spark/internal/Logging.scala#L138 --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 @felixcheung Let me check the code of launching the sparkR shell. Can you point me the code? Thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user felixcheung commented on the issue: https://github.com/apache/spark/pull/14433 Correct, I don't think should name the function `sc.setLogLevel` The message is coming from Scala - I changed the default logging level for python and R recently so I think I know where it is coming from - it just so happen python is named the same way as JVM/Scala - it would be better if that code is checking what shell is running and print the right message instead. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user wangmiao1981 commented on the issue: https://github.com/apache/spark/pull/14433 @shivaram I found spark-shell and pyspark using the same message: Python 2.7.11 |Anaconda 2.4.0 (x86_64)| (default, Dec 6 2015, 18:57:58) [GCC 4.2.1 (Apple Inc. build 5577)] on darwin Type "help", "copyright", "credits" or "license" for more information. Anaconda is brought to you by Continuum Analytics. Please check out: http://continuum.io/thanks and https://anaconda.org Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). ./bin/spark-shell Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties Setting default log level to "WARN". To adjust logging level use sc.setLogLevel(newLevel). --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
Github user shivaram commented on the issue: https://github.com/apache/spark/pull/14433 I think a better change might be to change that message if we are launching SparkR ? cc @felixcheung --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org
[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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[GitHub] spark issue #14433: [SPARK-16829][SparkR]:sparkR sc.setLogLevel doesn't work
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