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环境:
Eclipse: eclipse-jee-indigo-SR1-linux-gtk.tar.gz
Hadoop: hadoop-0.20.203.0
1、在使用Hadoop的压缩输出流时,发现总是报这隔错误:
Unable to load native-hadoop library for your platform
找了很多资料,都没能解决,最后终于发现是自己将文件名多加了个空格,导致本地库路径错误。
实际的路径是:
/home/hadoop/hadoop-0.20.203.0/lib/native/Linux-i386-32
另外要注意的是,Eclipse 运行配置的VM变量要加上一句:
-Djava.library.path=/home/hadoop/hadoop-0.20.203.0/lib/native/Linux-i386-32
并在程序中输出该变量值,以保证设置正确:
String libpath = System.getProperty("java.library.path"); System.out.println("libpath=" + libpath);2、如果用org.apache.hadoop.io.compress.DefaultCodec,则不需要lzo库,以免花费很多不必要的时间在编译安装lzo库上面,因为你可能根本用不着。
3、将日志设置为DEBUG级别,能获得更多的关于错误的信息。
public static void main(String[] args) { HdfsTest ht = new HdfsTest(); String path = ht.getClass().getClassLoader().getResource("").getPath(); System.out.println("path=" + path); String libpath = System.getProperty("java.library.path"); System.out.println("libpath=" + libpath); PropertyConfigurator.configure(path + "log4j.properties"); //do something }log4j.properties日志配置文件:
4、可能需要编译本地库,在RedHat AS4 上不编译本地库会报错:
[hadoop@hdp0 hadoop-0.20.203.0]$ more hs_err_pid8895.log
#
# A fatal error has been detected by the Java Runtime Environment:
#
# SIGFPE (0x8) at pc=0x003d947c, pid=8895, tid=3074153392
#
# JRE version: 6.0_25-b06
# Java VM: Java HotSpot(TM) Server VM (20.0-b11 mixed mode linux-x86 )
# Problematic frame:
# C [ld-linux.so.2+0x847c]
#
# If you would like to submit a bug report, please visit:
# http://java.sun.com/webapps/bugreport/crash.jsp
# The crash happened outside the Java Virtual Machine in native code.
# See problematic frame for where to report the bug.
#
--------------- T H R E A D ---------------
Current thread (0x0805a000): JavaThread "main" [_thread_in_native, id=8921, sta
ck(0xb736d000,0xb73be000)]
siginfo:si_signo=SIGFPE: si_errno=0, si_code=1 (FPE_INTDIV), si_addr=0x003d947c
Registers:
EAX=0x0f4d007f, EBX=0x003e6fd4, ECX=0x00000000, EDX=0x00000000
ESP=0xb73bb02c, EBP=0xb73bb074, ESI=0x08304800, EDI=0x70984e4c
EIP=0x003d947c, EFLAGS=0x00010246, CR2=0x00000004
Top of Stack: (sp=0xb73bb02c)
0xb73bb02c: b73d7cce 70984619 b73bb0e8 b73bb000
0xb73bb03c: 00000000 00000000 00000000 70984e4c
0xb73bb04c: 70984618 70984218 00000007 08304b08
0xb73bb05c: 00000000 0f4d007f 70984619 003e6fd4
0xb73bb06c: 083049b0 70984619 b73bb148 003d9822
0xb73bb07c: 70984258 b73bb104 08304958 00000000
0xb73bb08c: 00000000 00000001 00000000 00000000
0xb73bb09c: 00511820 0000003c 003e6fd4 003e7650
. . .
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