2017-05-31 41 views
0

我試圖從hdfs中讀取R中的數據。我在使用sparklyr時遇到的一件事是解密錯誤信息......因爲我不是一個java程序員。在sparklyr中使用spark_read_csv時發生錯誤「對象的方法csv無效」

考慮這個例子:

要這樣做中的R

創建鮑魚數據幀 - 鮑魚是用於機器學習實例的數據集

load pivotal R package #contains abalone data and create dataframe 
if (!require(PivotalR)){ 
    install.packages(PivotalR) } 

data(abalone) 

#sample of data 
head(abalone) 

#export data to a CSV file 
if (!require(readr)){ 
    install.packages(readr) } 
write_csv(abalone,'abalone.csv') 
要這樣做在命令行
hdfs dfs -put abalone.csv abalone.csv 
#check to see if the file is on the hdfs 
hdfs dfs -ls 

DO這在R 這是設置使用您當前版本的火花 您可能必須更改spark_home

library(sparklyr) 
    library(SparkR) 
    sc = spark_connect(master = 'yarn-client', 
         spark_home = '/usr/hdp/current/spark-client', 
         app_name = 'sparklyr', 
         config = list(
         "sparklyr.shell.executor-memory" = "1G", 
         "sparklyr.shell.driver-memory" = "4G", 
         "spark.driver.maxResultSize"  = "2G" # may need to transfer a lot of data into R 
    ) 
    ) 

讀入我們剛寫入HDFS的鮑魚文件。 您必須更改路徑以符合您的路徑。

df <- spark_read_csv(sc,name='abalone',path='hdfs://pnhadoop/user/stc004/abalone.csv',delimiter=",", 
         header=TRUE) 

,我發現了以下錯誤:

Error: java.lang.IllegalArgumentException: invalid method csv for object 63 
     at sparklyr.Invoke$.invoke(invoke.scala:113) 
     at sparklyr.StreamHandler$.handleMethodCall(stream.scala:89) 
     at sparklyr.StreamHandler$.read(stream.scala:55) 
     at sparklyr.BackendHandler.channelRead0(handler.scala:49) 
     at sparklyr.BackendHandler.channelRead0(handler.scala:14) 
     at io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105) 
     at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308) 
     at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294) 
     at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:103) 
     at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308) 
     at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294) 
     at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:244) 
     at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:308) 
     at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:294) 
     at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:846) 
     at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131) 
     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$2.run(SingleThreadEventExecutor.java:111) 
     at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:137) 
     at java.lang.Thread.run(Thread.java:745) 

不知道發生了什麼事情。我以前使用spark_read_csv沒有錯誤。我不知道如何解讀Java錯誤。思考?

+0

首先我會檢查的就是訪問權限的文件,是理所當然? – mrjoseph

回答

1

星火2.1.0

sparkR.session(sparkConfig = list(),enableHiveSupport= FALSE) 
df1 <- read.df(path="hdfs://<yourpath>/*",source="csv",na.strings = "NA", delimiter="\u0001") 
head(df1) 
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