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我的火花[R 1.6代碼不spark2.0工作，我做了必要的修改，如創建sparkr.session()而不是sparkr.init()，而不是通過sqlcontext參數等等sparkr 2.0 read.df拋出路徑不存在錯誤
在下面我加載從幾個文件夾中的數據到數據幀
read.df在spark1.6的作品
sales <- read.df(sqlContext, path= "gs://dev.appspot.com/myData/2014/20*,gs://dev.appspot.com/myData/2015/20*", source = "com.databricks.spark.csv", delimiter
="\t")
代碼read.df在spark2.0不起作用
sales <- read.df("gs://dev.appspot.com/myData/2014/20*,gs://dev.appspot.c
om/myData/2015/20*", source = "com.databricks.spark.csv", delimiter="\t")
上述行拋出以下錯誤：
6/09/25 19:28:52 ERROR org.apache.spark.api.r.RBackendHandler: loadDF on org.apache.spark.sql.api.r.SQLUtils faile d Error in invokeJava(isStatic = TRUE, className, methodName, ...) : org.apache.spark.sql.AnalysisException: **Path does not exist: gs://dev.appspot.com/myData/2014/ 20*,gs://dev.appspot.com/myData/2015/20***;
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$12.apply(DataSource.scala:357)
at org.apache.spark.sql.execution.datasources.DataSource$$anonfun$12.apply(DataSource.scala:350)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.TraversableLike$$anonfun$flatMap$1.apply(TraversableLike.scala:241)
at scala.collection.immutable.List.foreach(List.scala:381)
at scala.collection.TraversableLike$class.flatMap(TraversableLike.scala:241)
at scala.collection.immutable.List.flatMap(List.scala:344)
at org.apache.spark.sql.execution.datasources.DataSource.resolveRelation(DataSource.scala:350)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:149)
at org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:122 Calls: read.df -> dispatchFunc -> f -> callJStatic -> invokeJava Execution halted 16/09/25 19:28:53 INFO org.spark_project.jetty.server.ServerConnector: Stopped [email protected]{HTTP/1.1}{0 .0.0.0:4040}