You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Arun (JIRA)" <ji...@apache.org> on 2015/06/17 13:48:00 UTC
[jira] [Created] (SPARK-8409) i cant able to read .csv files using
read.df() in sparkR of spark 1.4 for eg.) mydf<-read.df(sqlContext,
"/home/esten/ami/usaf.json", source="json", header="false")
Arun created SPARK-8409:
---------------------------
Summary: i cant able to read .csv files using read.df() in sparkR of spark 1.4 for eg.) mydf<-read.df(sqlContext, "/home/esten/ami/usaf.json", source="json", header="false")
Key: SPARK-8409
URL: https://issues.apache.org/jira/browse/SPARK-8409
Project: Spark
Issue Type: Bug
Components: Build
Affects Versions: 1.4.0
Environment: sparkR API
Reporter: Arun
Priority: Critical
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
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org