The error you are running into is that the input file does not exist -- You can see it from the following line "Input path does not exist: hdfs://smalldata13.hdp:8020/ home/esten/ami/usaf.json"
Thanks Shivaram On Tue, Jun 16, 2015 at 1:55 AM, esten <erik.stens...@dnvgl.com> wrote: > Hi, > In SparkR shell, I invoke: > > mydf<-read.df(sqlContext, "/home/esten/ami/usaf.json", source="json", > > header="false") > I have tried various filetypes (csv, txt), all fail. > > RESPONSE: "ERROR RBackendHandler: load on 1 failed" > BELOW THE WHOLE RESPONSE: > 15/06/16 08:09:13 INFO MemoryStore: ensureFreeSpace(177600) called with > curMem=0, maxMem=278302556 > 15/06/16 08:09:13 INFO MemoryStore: Block broadcast_0 stored as values in > memory (estimated size 173.4 KB, free 265.2 MB) > 15/06/16 08:09:13 INFO MemoryStore: ensureFreeSpace(16545) called with > curMem=177600, maxMem=278302556 > 15/06/16 08:09:13 INFO MemoryStore: Block broadcast_0_piece0 stored as > bytes > in memory (estimated size 16.2 KB, free 265.2 MB) > 15/06/16 08:09:13 INFO BlockManagerInfo: Added broadcast_0_piece0 in memory > on localhost:37142 (size: 16.2 KB, free: 265.4 MB) > 15/06/16 08:09:13 INFO SparkContext: Created broadcast 0 from load at > NativeMethodAccessorImpl.java:-2 > 15/06/16 08:09:16 WARN DomainSocketFactory: The short-circuit local reads > feature cannot be used because libhadoop cannot be loaded. > 15/06/16 08:09:17 ERROR RBackendHandler: load on 1 failed > java.lang.reflect.InvocationTargetException > at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method) > at > > sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57) > at > > sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43) > at java.lang.reflect.Method.invoke(Method.java:606) > at > > org.apache.spark.api.r.RBackendHandler.handleMethodCall(RBackendHandler.scala:127) > at > > org.apache.spark.api.r.RBackendHandler.channelRead0(RBackendHandler.scala:74) > at > > org.apache.spark.api.r.RBackendHandler.channelRead0(RBackendHandler.scala:36) > at > > io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105) > at > > io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333) > at > > io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319) > at > > io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103) > at > > io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333) > at > > io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319) > at > > io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:163) > at > > io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:333) > at > > io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:319) > at > > io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:787) > at > > io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:130) > at > io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:511) > at > > io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:468) > at > > io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:382) > at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:354) > at > > io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:116) > at > > io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:137) > at java.lang.Thread.run(Thread.java:745) > Caused by: org.apache.hadoop.mapred.InvalidInputException: Input path does > not exist: hdfs://smalldata13.hdp:8020/home/esten/ami/usaf.json > at > > org.apache.hadoop.mapred.FileInputFormat.singleThreadedListStatus(FileInputFormat.java:285) > at > > org.apache.hadoop.mapred.FileInputFormat.listStatus(FileInputFormat.java:228) > at > > org.apache.hadoop.mapred.FileInputFormat.getSplits(FileInputFormat.java:313) > at > org.apache.spark.rdd.HadoopRDD.getPartitions(HadoopRDD.scala:207) > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) > at > > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32) > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) > at > > org.apache.spark.rdd.MapPartitionsRDD.getPartitions(MapPartitionsRDD.scala:32) > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:219) > at > org.apache.spark.rdd.RDD$$anonfun$partitions$2.apply(RDD.scala:217) > at scala.Option.getOrElse(Option.scala:120) > at org.apache.spark.rdd.RDD.partitions(RDD.scala:217) > at > org.apache.spark.rdd.RDD$$anonfun$treeAggregate$1.apply(RDD.scala:1069) > at > > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:148) > at > > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:109) > at org.apache.spark.rdd.RDD.withScope(RDD.scala:286) > at org.apache.spark.rdd.RDD.treeAggregate(RDD.scala:1067) > at > org.apache.spark.sql.json.InferSchema$.apply(InferSchema.scala:58) > at > > org.apache.spark.sql.json.JSONRelation$$anonfun$schema$1.apply(JSONRelation.scala:139) > at > > org.apache.spark.sql.json.JSONRelation$$anonfun$schema$1.apply(JSONRelation.scala:138) > at scala.Option.getOrElse(Option.scala:120) > at > > org.apache.spark.sql.json.JSONRelation.schema$lzycompute(JSONRelation.scala:137) > at > org.apache.spark.sql.json.JSONRelation.schema(JSONRelation.scala:137) > at > > org.apache.spark.sql.sources.LogicalRelation.<init>(LogicalRelation.scala:30) > at > org.apache.spark.sql.DataFrameReader.load(DataFrameReader.scala:120) > at org.apache.spark.sql.SQLContext.load(SQLContext.scala:1230) > ... 25 more > Error: returnStatus == 0 is not TRUE > > > > -- > View this message in context: > http://apache-spark-user-list.1001560.n3.nabble.com/SparkR-1-4-0-read-df-function-fails-tp23333.html > Sent from the Apache Spark User List mailing list archive at Nabble.com. > > --------------------------------------------------------------------- > To unsubscribe, e-mail: user-unsubscr...@spark.apache.org > For additional commands, e-mail: user-h...@spark.apache.org > >
