问题
I have just extracted and setup spark 1.6.0 into environment that has a fresh install of hadoop 2.6.0 and hive 0.14.
I have verified that hive, beeline and mapreduce works fine on examples.
However, as soon as I run sc.textfile() within spark-shell, it returns an error:
$ 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
There is not a lot in spark's conf. The setup for spark were as per: http://www.tutorialspoint.com/apache_spark/apache_spark_installation.htm
I have already made certain that everything in /tmp is world accessible (uog+rwx).
Any advice/ideas would be much appreciated.
回答1:
This issue occurs when (for security reasons) /tmp is mounted non-exec. I ran into the same problem and our sysadmin fixed it by remounting /tmp as exec.
来源：https://stackoverflow.com/questions/35418018/spark-returns-error-libsnappyjava-so-failed-to-map-segment-from-shared-object