我正在尝试初始化SparkR，但我收到了权限错误。我的Spark版本是spark-2.2.1-bin-hadoop2.6。我已经搜索了这个错误以及如何解决它，我找到了几个相关的主题。但是，我无法使用相同的方法解决它，在这些主题中，他们提供的解决方案（以及我尝试过的解决方案）使用以下命令为/ tmp / hive目录提供了权限：
sudo -u hdfs hadoop fs -chmod -R 777 /tmp/hive
有足够知识的人能给我另一种可能的解决方案吗？
错误堆栈跟踪如下：
$ sudo ./bin/sparkR
R version 3.4.2 (2017-09-28) -- "Short Summer"
Copyright (C) 2017 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
Natural language support but running in an English locale
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Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
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Launching java with spark-submit command /opt/cloudera/parcels/spark-2.2.1-bin-hadoop2.6/bin/spark-submit "sparkr-shell" /tmp/RtmpecLPo8/backend_port4be122057a03
Using Spark's default log4j profile: org/apache/spark/log4j-defaults.properties
Setting default log level to "WARN".
To adjust logging level use sc.setLogLevel(newLevel). For SparkR, use setLogLevel(newLevel).
17/12/19 12:53:17 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable
17/12/19 12:53:17 WARN Utils: Service 'SparkUI' could not bind on port 4040. Attempting port 4041.
17/12/19 12:53:23 ERROR RBackendHandler: getOrCreateSparkSession on org.apache.spark.sql.api.r.SQLUtils failed
java.lang.reflect.InvocationTargetException
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.spark.api.r.RBackendHandler.handleMethodCall(RBackendHandler.scala:167)
at org.apache.spark.api.r.RBackendHandler.channelRead0(RBackendHandler.scala:108)
at org.apache.spark.api.r.RBackendHandler.channelRead0(RBackendHandler.scala:40)
at io.netty.channel.SimpleChannelInboundHandler.channelRead(SimpleChannelInboundHandler.java:105)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:343)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:336)
at io.netty.handler.timeout.IdleStateHandler.channelRead(IdleStateHandler.java:287)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:343)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:336)
at io.netty.handler.codec.MessageToMessageDecoder.channelRead(MessageToMessageDecoder.java:102)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:343)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:336)
at io.netty.handler.codec.ByteToMessageDecoder.fireChannelRead(ByteToMessageDecoder.java:293)
at io.netty.handler.codec.ByteToMessageDecoder.channelRead(ByteToMessageDecoder.java:267)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:343)
at io.netty.channel.AbstractChannelHandlerContext.fireChannelRead(AbstractChannelHandlerContext.java:336)
at io.netty.channel.DefaultChannelPipeline$HeadContext.channelRead(DefaultChannelPipeline.java:1294)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:357)
at io.netty.channel.AbstractChannelHandlerContext.invokeChannelRead(AbstractChannelHandlerContext.java:343)
at io.netty.channel.DefaultChannelPipeline.fireChannelRead(DefaultChannelPipeline.java:911)
at io.netty.channel.nio.AbstractNioByteChannel$NioByteUnsafe.read(AbstractNioByteChannel.java:131)
at io.netty.channel.nio.NioEventLoop.processSelectedKey(NioEventLoop.java:643)
at io.netty.channel.nio.NioEventLoop.processSelectedKeysOptimized(NioEventLoop.java:566)
at io.netty.channel.nio.NioEventLoop.processSelectedKeys(NioEventLoop.java:480)
at io.netty.channel.nio.NioEventLoop.run(NioEventLoop.java:442)
at io.netty.util.concurrent.SingleThreadEventExecutor$2.run(SingleThreadEventExecutor.java:131)
at io.netty.util.concurrent.DefaultThreadFactory$DefaultRunnableDecorator.run(DefaultThreadFactory.java:144)
at java.lang.Thread.run(Thread.java:748)
Caused by: java.lang.IllegalArgumentException: Error while instantiating 'org.apache.spark.sql.hive.HiveSessionStateBuilder':
at org.apache.spark.sql.SparkSession$.org$apache$spark$sql$SparkSession$$instantiateSessionState(SparkSession.scala:1062)
at org.apache.spark.sql.SparkSession$$anonfun$sessionState$2.apply(SparkSession.scala:137)
at org.apache.spark.sql.SparkSession$$anonfun$sessionState$2.apply(SparkSession.scala:136)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.SparkSession.sessionState$lzycompute(SparkSession.scala:136)
at org.apache.spark.sql.SparkSession.sessionState(SparkSession.scala:133)
at org.apache.spark.sql.api.r.SQLUtils$$anonfun$setSparkContextSessionConf$2.apply(SQLUtils.scala:71)
at org.apache.spark.sql.api.r.SQLUtils$$anonfun$setSparkContextSessionConf$2.apply(SQLUtils.scala:70)
at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
at scala.collection.Iterator$class.foreach(Iterator.scala:893)
at scala.collection.AbstractIterator.foreach(Iterator.scala:1336)
at scala.collection.IterableLike$class.foreach(IterableLike.scala:72)
at scala.collection.AbstractIterable.foreach(Iterable.scala:54)
at scala.collection.TraversableLike$WithFilter.foreach(TraversableLike.scala:732)
at org.apache.spark.sql.api.r.SQLUtils$.setSparkContextSessionConf(SQLUtils.scala:70)
at org.apache.spark.sql.api.r.SQLUtils$.getOrCreateSparkSession(SQLUtils.scala:63)
at org.apache.spark.sql.api.r.SQLUtils.getOrCreateSparkSession(SQLUtils.scala)
... 36 more
Caused by: org.apache.spark.sql.AnalysisException: java.lang.RuntimeException: java.lang.RuntimeException: The root scratch dir: /tmp/hive on HDFS should be writable. Current permissions are: rwx------;
at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:106)
at org.apache.spark.sql.hive.HiveExternalCatalog.databaseExists(HiveExternalCatalog.scala:194)
at org.apache.spark.sql.internal.SharedState.externalCatalog$lzycompute(SharedState.scala:105)
at org.apache.spark.sql.internal.SharedState.externalCatalog(SharedState.scala:93)
at org.apache.spark.sql.hive.HiveSessionStateBuilder.externalCatalog(HiveSessionStateBuilder.scala:39)
at org.apache.spark.sql.hive.HiveSessionStateBuilder.catalog$lzycompute(HiveSessionStateBuilder.scala:54)
at org.apache.spark.sql.hive.HiveSessionStateBuilder.catalog(HiveSessionStateBuilder.scala:52)
at org.apache.spark.sql.hive.HiveSessionStateBuilder.catalog(HiveSessionStateBuilder.scala:35)
at org.apache.spark.sql.internal.BaseSessionStateBuilder.build(BaseSessionStateBuilder.scala:289)
at org.apache.spark.sql.SparkSession$.org$apache$spark$sql$SparkSession$$instantiateSessionState(SparkSession.scala:1059)
... 52 more
Caused by: java.lang.RuntimeException: java.lang.RuntimeException: The root scratch dir: /tmp/hive on HDFS should be writable. Current permissions are: rwx------
at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:522)
at org.apache.spark.sql.hive.client.HiveClientImpl.<init>(HiveClientImpl.scala:191)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.apache.spark.sql.hive.client.IsolatedClientLoader.createClient(IsolatedClientLoader.scala:264)
at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:362)
at org.apache.spark.sql.hive.HiveUtils$.newClientForMetadata(HiveUtils.scala:266)
at org.apache.spark.sql.hive.HiveExternalCatalog.client$lzycompute(HiveExternalCatalog.scala:66)
at org.apache.spark.sql.hive.HiveExternalCatalog.client(HiveExternalCatalog.scala:65)
at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply$mcZ$sp(HiveExternalCatalog.scala:195)
at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply(HiveExternalCatalog.scala:195)
at org.apache.spark.sql.hive.HiveExternalCatalog$$anonfun$databaseExists$1.apply(HiveExternalCatalog.scala:195)
at org.apache.spark.sql.hive.HiveExternalCatalog.withClient(HiveExternalCatalog.scala:97)
... 61 more
Caused by: java.lang.RuntimeException: The root scratch dir: /tmp/hive on HDFS should be writable. Current permissions are: rwx------
at org.apache.hadoop.hive.ql.session.SessionState.createRootHDFSDir(SessionState.java:612)
at org.apache.hadoop.hive.ql.session.SessionState.createSessionDirs(SessionState.java:554)
at org.apache.hadoop.hive.ql.session.SessionState.start(SessionState.java:508)
... 75 more
Error in handleErrors(returnStatus, conn) :
java.lang.IllegalArgumentException: Error while instantiating 'org.apache.spark.sql.hive.HiveSessionStateBuilder':
at org.apache.spark.sql.SparkSession$.org$apache$spark$sql$SparkSession$$instantiateSessionState(SparkSession.scala:1062)
at org.apache.spark.sql.SparkSession$$anonfun$sessionState$2.apply(SparkSession.scala:137)
at org.apache.spark.sql.SparkSession$$anonfun$sessionState$2.apply(SparkSession.scala:136)
at scala.Option.getOrElse(Option.scala:121)
at org.apache.spark.sql.SparkSession.sessionState$lzycompute(SparkSession.scala:136)
at org.apache.spark.sql.SparkSession.sessionState(SparkSession.scala:133)
at org.apache.spark.sql.api.r.SQLUtils$$anonfun$setSparkContextSessionConf$2.apply(SQLUtils.scala:71)
at org.apache.spark.sql.api.r.SQLUtils$$anonfun$setSparkContextSessionConf$2.apply(SQLUtils.scala:70)
at scala.collection.TraversableLike$WithFilter$$anonfun$foreach$1.apply(TraversableLike.scala:733)
at scala.collection.Iterator$class.foreach(Iterator.sca
hadoop fs -ls / tmp的结果：
$ hadoop fs -ls /tmp
Found 5 items
drwxrwxrwx - hdfs supergroup 0 2017-12-19 14:47 /tmp/.cloudera_health_monitoring_canary_files
drwxr-xr-x - yarn supergroup 0 2017-11-07 12:36 /tmp/hadoop-yarn
drwx--x--x - hbase supergroup 0 2017-09-07 10:44 /tmp/hbase-staging
drwx-wx-wx - josholsan supergroup 0 2017-12-19 13:09 /tmp/hive
drwxrwxrwt - mapred hadoop 0 2017-09-12 09:34 /tmp/logs
非常感谢你！
由于您的错误权限与文件系统的输出不匹配，听起来像您下载了Spark但没有配置它，因此它默认为本地磁盘
首先，尝试单独使用CDZ安装中的spark-shell进行冒烟测试。
我认为Cloudera包括SparkR（他们只是不正式支持它）。我没有看到他们将其从安装中删除的原因。
我的Spark版本是spark-2.2.1-bin-hadoop2.6。
您下载了包含hadoop的版本（基于文件名的末尾）。由于您说您在群集上进行了设置，因此您应该使用没有预编译Hadoop的下载选项。除非它实际上是Cloudera包裹，否则不要将它放在/ opt / cloudera / parcels目录中。
然后，一旦你有了，把它解压缩到某个地方，然后打开conf / spark-env.sh（将模板复制到这个文件）
更新值至少包含与CDH附带的其他Spark安装相同的信息
确保HADOOP_CONF_DIR指向系统上Hadoop的配置目录。 /etc/hadoop/conf/