spark返回错误libsnappyjava.so:未能从共享对象Map段：不允许操作

guykilcj  于 2021-05-29  发布在  Hadoop
关注(0)|答案(1)|浏览(382)

我刚刚将spark 1.6.0解压并安装到新安装了Hadoop2.6.0和Hive0.14的环境中。
我已经验证了hive、beeline和mapreduce在示例中的效果很好。
不过，我一跑 sc.textfile() 在spark shell中，它返回一个错误：

$ spark-shell
Welcome to
      ____              __
     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 1.6.0
      /_/

Using Scala version 2.10.5 (Java HotSpot(TM) 64-Bit Server VM, Java 1.7.0_67)
Type in expressions to have them evaluated.
Type :help for more information.
Spark context available as sc.
SQL context available as sqlContext.

scala> val textFile = sc.textFile("README.md")
java.lang.IllegalArgumentException: java.lang.UnsatisfiedLinkError: /tmp/snappy-1.1.2-2ccaf764-c7c4-4ff1-a68e-bbfdec0a3aa1-libsnappyjava.so: /tmp/snappy-1.1.2-2ccaf764-c7c4-4ff1-a68e-bbfdec0a3aa1-libsnappyjava.so: failed to map segment from shared object: Operation not permitted
        at org.apache.spark.io.SnappyCompressionCodec.<init>(CompressionCodec.scala:156)
        at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
        at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:57)
        at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
        at java.lang.reflect.Constructor.newInstance(Constructor.java:526)
        at org.apache.spark.io.CompressionCodec$.createCodec(CompressionCodec.scala:72)
        at org.apache.spark.io.CompressionCodec$.createCodec(CompressionCodec.scala:65)
        at org.apache.spark.broadcast.TorrentBroadcast.org$apache$spark$broadcast$TorrentBroadcast$$setConf(TorrentBroadcast.scala:73)
        at org.apache.spark.broadcast.TorrentBroadcast.<init>(TorrentBroadcast.scala:80)
        at org.apache.spark.broadcast.TorrentBroadcastFactory.newBroadcast(TorrentBroadcastFactory.scala:34)
        at org.apache.spark.broadcast.BroadcastManager.newBroadcast(BroadcastManager.scala:63)
        at org.apache.spark.SparkContext.broadcast(SparkContext.scala:1326)
        at org.apache.spark.SparkContext$$anonfun$hadoopFile$1.apply(SparkContext.scala:1014)
        at org.apache.spark.SparkContext$$anonfun$hadoopFile$1.apply(SparkContext.scala:1011)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
        at org.apache.spark.SparkContext.withScope(SparkContext.scala:714)
        at org.apache.spark.SparkContext.hadoopFile(SparkContext.scala:1011)
        at org.apache.spark.SparkContext$$anonfun$textFile$1.apply(SparkContext.scala:832)
        at org.apache.spark.SparkContext$$anonfun$textFile$1.apply(SparkContext.scala:830)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:150)
        at org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:111)
        at org.apache.spark.SparkContext.withScope(SparkContext.scala:714)
        at org.apache.spark.SparkContext.textFile(SparkContext.scala:830)
        at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:27)
        at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:32)
        at $iwC$$iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:34)
        at $iwC$$iwC$$iwC$$iwC$$iwC.<init>(<console>:36)
        at $iwC$$iwC$$iwC$$iwC.<init>(<console>:38)
        at $iwC$$iwC$$iwC.<init>(<console>:40)
        at $iwC$$iwC.<init>(<console>:42)
        at $iwC.<init>(<console>:44)
        at <init>(<console>:46)
        at .<init>(<console>:50)
        at .<clinit>(<console>)
        at .<init>(<console>:7)
        at .<clinit>(<console>)
        at $print(<console>)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at org.apache.spark.repl.SparkIMain$ReadEvalPrint.call(SparkIMain.scala:1065)
        at org.apache.spark.repl.SparkIMain$Request.loadAndRun(SparkIMain.scala:1346)
        at org.apache.spark.repl.SparkIMain.loadAndRunReq$1(SparkIMain.scala:840)
        at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:871)
        at org.apache.spark.repl.SparkIMain.interpret(SparkIMain.scala:819)
        at org.apache.spark.repl.SparkILoop.reallyInterpret$1(SparkILoop.scala:857)
        at org.apache.spark.repl.SparkILoop.interpretStartingWith(SparkILoop.scala:902)
        at org.apache.spark.repl.SparkILoop.command(SparkILoop.scala:814)
        at org.apache.spark.repl.SparkILoop.processLine$1(SparkILoop.scala:657)
        at org.apache.spark.repl.SparkILoop.innerLoop$1(SparkILoop.scala:665)
        at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$loop(SparkILoop.scala:670)
        at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply$mcZ$sp(SparkILoop.scala:997)
        at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
        at org.apache.spark.repl.SparkILoop$$anonfun$org$apache$spark$repl$SparkILoop$$process$1.apply(SparkILoop.scala:945)
        at scala.tools.nsc.util.ScalaClassLoader$.savingContextLoader(ScalaClassLoader.scala:135)
        at org.apache.spark.repl.SparkILoop.org$apache$spark$repl$SparkILoop$$process(SparkILoop.scala:945)
        at org.apache.spark.repl.SparkILoop.process(SparkILoop.scala:1059)
        at org.apache.spark.repl.Main$.main(Main.scala:31)
        at org.apache.spark.repl.Main.main(Main.scala)
        at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
        at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:57)
        at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
        at java.lang.reflect.Method.invoke(Method.java:606)
        at org.apache.spark.deploy.SparkSubmit$.org$apache$spark$deploy$SparkSubmit$$runMain(SparkSubmit.scala:731)
        at org.apache.spark.deploy.SparkSubmit$.doRunMain$1(SparkSubmit.scala:181)
        at org.apache.spark.deploy.SparkSubmit$.submit(SparkSubmit.scala:206)
        at org.apache.spark.deploy.SparkSubmit$.main(SparkSubmit.scala:121)
        at org.apache.spark.deploy.SparkSubmit.main(SparkSubmit.scala)
Caused by: java.lang.UnsatisfiedLinkError: /tmp/snappy-1.1.2-2ccaf764-c7c4-4ff1-a68e-bbfdec0a3aa1-libsnappyjava.so: /tmp/snappy-1.1.2-2ccaf764-c7c4-4ff1-a68e-bbfdec0a3aa1-libsnappyjava.so: failed to map segment from shared object: Operation not permitted
        at java.lang.ClassLoader$NativeLibrary.load(Native Method)
        at java.lang.ClassLoader.loadLibrary1(ClassLoader.java:1965)
        at java.lang.ClassLoader.loadLibrary0(ClassLoader.java:1890)
        at java.lang.ClassLoader.loadLibrary(ClassLoader.java:1851)
        at java.lang.Runtime.load0(Runtime.java:795)
        at java.lang.System.load(System.java:1062)
        at org.xerial.snappy.SnappyLoader.loadNativeLibrary(SnappyLoader.java:174)
        at org.xerial.snappy.SnappyLoader.load(SnappyLoader.java:152)
        at org.xerial.snappy.Snappy.<clinit>(Snappy.java:46)
        at org.apache.spark.io.SnappyCompressionCodec.<init>(CompressionCodec.scala:154)
        ... 69 more

spark的配置中没有太多。spark的设置如下：http://www.tutorialspoint.com/apache_spark/apache_spark_installation.htm
我已经确定/tmp中的所有内容都是世界可访问的（uog+rwx）。
如有任何建议/意见，将不胜感激。

JavahadoopHiveapache-sparksnappy

1条答案

按热度按时间
hmmo2u0o

hmmo2u0o1#

当（出于安全原因）出现此问题时 /tmp 非执行挂载。我遇到了同样的问题，我们的系统管理员通过重新安装修复了它 /tmp 作为执行官。

赞(0）分享  回复(0）举报  2021-05-29
我来回答

相关问题

    查看更多

    热门标签

    更多
    JavaquerypythonNode开发语言requestUtil数据库Table后端算法LoggerMessageElementParser

    最新问答

    更多
    • 蜀ICP备2022004421号-2 NULL123 https://www.null123.com © All rights reserved
    • 本站内容来源互联网,如果侵犯您的权益请联系我们删除, 联系方式：448109455@qq.com