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https://issues.apache.org/jira/browse/SPARK-17622?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
renzhi he closed SPARK-17622.
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Resolution: Not A Bug
> Cannot run create or load DF on Windows- Spark 2.0.0
> ----------------------------------------------------
>
> Key: SPARK-17622
> URL: https://issues.apache.org/jira/browse/SPARK-17622
> Project: Spark
> Issue Type: Bug
> Components: SparkR
> Affects Versions: 2.0.0
> Environment: windows 10
> R 3.3.1
> RStudio 1.0.20
> Reporter: renzhi he
> Labels: windows
>
> Under spark2.0.0- on Windows- when try to load or create data with the
> similar codes below, I also get error message and cannot execute the
> functions.
> |sc <- sparkR.session(master="local",sparkConfig = list(spark.driver.memory =
> "2g")) |
> |df <- as.DataFrame(faithful) |
> Here is the error message:
> #Error in invokeJava(isStatic = TRUE, className, methodName, ...) :
>
> #java.lang.reflect.InvocationTargetException
> #at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
> #at
> sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
> #at
> sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
> #at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
> #at
> org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(IsolatedClientLoader.scala:258)
> #at
> org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:359)
> #at
> org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:263)
> #at
> org.apache.spark.sql.hive.HiveSharedState.metadataHive$lzycompute(HiveSharedState.scala:39)
> #at
> org.apache.spark.sql.hive.HiveSharedState.metadataHive(HiveSharedState.scala:38)
> #at
> org.apache.spark.sql.hive.HiveSharedState.externalCatalog$lzycompute(HiveSharedState.scala:46)
> #at org.apache.spark.sql.hive.HiveSharedSt
> However, under spark1.6.1 or spark1.6.2, run the same functional functions,
> there will be no problem.
> |sc1 <- sparkR.init(master = "local", sparkEnvir =
> list(spark.driver.memory="2g"))|
> |sqlContext <- sparkRSQL.init(sc1)|
> |df <- as.DataFrame(sqlContext,faithful|
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