在 MapR 4.0.1 版群集上，革命 R mapreduce 作业可能会失败，错误︰
2015-02-13 08:00:37、 657 致命 [IPC 服务器上处理程序 2 52243] org.apache.hadoop.mapred.TaskAttemptListenerImpl︰ 任务︰ attempt_1423734868663_0289_m_000000_0-退出︰ java.io.IOException: R 虚拟机退出，退出代码︰ 1，输出︰启动脚本[1]，则返回 TRUE$fileName [1] NA$start [1] 0$length [1] 0/usr/lib64/Revo-7.3/R-3.1.1/lib64/R/library/RevoScaleR/rxLibs/x64/libExaCore.so.2(_Z21CriticalSignalHandleri+0x1e)[0x7fe02d3d423e] /usr/lib/jvm/java-1.7.0-openjdk-1.7.0.71.x86_64/jre/lib/amd64/server/libjvm.so(+0x7e2628)[0x7fe0282f8628] /usr/lib/jvm/java-1.7.0-openjdk-1.7.0.71.x86_64/jre/lib/amd64/server/libjvm.so(JVM_handle_linux_signal+0x95)[0x7fe0282fea55] /lib64/libpthread.so.0[0x30cec0f710] /usr/lib64/Revo-7.3/R-3.1.1/lib64/R/library/RevoScaleR/rxLibs/x64/libExaCore.so.2(_ZNK10CxAnalysis19HaveWriteDataSourceEv+0x0)[0x7fe02acbc280] /usr/lib64/Revo-7.3/R-3.1.1/lib64/R/library/RevoScaleR/rxLibs/x64/libExaCore.so.2(_ZN10CxAnalysis18GetWriteDataSourceEv+0x9)[0x7fe02acbcb49] /usr/lib64/Revo-7.3/R-3.1.1/lib64/R/library/RevoScaleR/rxLibs/x64/libRxLink.so.2(_Z19RxComputeHadoopTaskR11RListObjectR11RxAllocator+0x3b3)[0x7fe02e2a5d23] /usr/lib64/Revo-7.3/R-3.1.1/lib64/R/library/RevoScaleR/rxLibs/x64/libRxLink.so.2(_Z10RxUtilBaseP7SEXPREC+0x6db)[0x7fe02e2b2fab] /usr/lib64/Revo-7.3/R-3.1.1/lib64/R/library/RevoScaleR/rxLibs/x64/libRxLink.so.2(RxUtil+0x34)[0x7fe02e2b3f14] /usr/lib64/Revo-7.3/R-3.1.1/lib64/R/lib/libR.so(+0x9f36b)[0x7fe04083536b] /usr/lib64/Revo-7.3/R-3.1.1/lib64/R/lib/libR.so(Rf_eval+0x871)[0x7fe04086be91] /usr/lib64/Revo-7.3/R-3.1.1/lib64/R/lib/libR.so(Rf_ReplIteration+0x212)[0x7fe0408946a2] /usr/lib64/Revo-7.3/R-3.1.1/lib64/R/lib/libR.so(+0xfea59)[0x7fe040894a59] /usr/lib64/Revo-7.3/R-3.1.1/lib64/R/lib/libR.so(run_Rmainloop+0x44)[0x7fe040894f64] /usr/lib64/Revo-7.3/R-3.1.1/lib64/R/bin/exec/R(main+0x1b)[0x40084b] /lib64/libc.so.6(__libc_start_main+0xfd)[0x30ce41ed5d] /usr/lib64/Revo-7.3/R-3.1.1/lib64/R/bin/exec/R[0x400739] 分段错误。在 com.revolutionanalytics.scaleR.hadoop.Rscript.waitFor(Rscript.java:103)在 com.revolutionanalytics.scaleR.hadoop.Rscript.run(Rscript.java:59)在 com.revolutionanalytics.scaleR.hadoop.RDelegatingMapper.run(RDelegatingMapper.java:73)在 org.apache.hadoop.mapred.MapTask.runNewMapper (MapTask.java:773)在 org.apache.hadoop.mapred.MapTask.run (MapTask.java:345)在 org.apache.hadoop.mapred.YarnChild$2.run (YarnChild.java:167)在 java.security.AccessController.doPrivileged （本机方法）在 javax.security.auth.Subject.doAs(Subject.java:415)在 org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1469)在 org.apache.hadoop.mapred.YarnChild.main (YarnChild.java:162)
MapR 4.0.1 版在平台上，这是因为使用不正确的 libhdfs.so 库的革命 R 企业环境配置。若要变通解决此问题，请确认以下安装后配置步骤已采取的革命 R 7.3 MapR 4.0.1 版群集上︰在"客户端"节点上，创建的每个用户的本机文件系统共享的目录︰1.sudo mkdir-p /var/RevoShare/mapr3.chmod 777 /var/RevoShare/mapr4.添加。对 /home/mapr/.bash_profile /usr/lib64/Revo-7.3/scripts/RevoHadoopEnvVars.site在每个工作节点上进行以下更改︰
# cp scaleR-hadoop-0.1-SNAPSHOT.jar /opt/mapr/hadoop/hadoop-2.4.1/share/hadoop/common/lib/ # ln -s /opt/mapr/hadoop/hadoop-0.20.2/c++/Linux-amd64-64/lib/libhdfs.so /usr/lib64 # mv /opt/mapr/hadoop/hadoop-2.4.1/lib/native/libhdfs.so /opt/mapr/hadoop/hadoop-2.4.1/lib/native/libhdfs.so.save
革命 R 安装自动在 $HADOOP_HOME/lib 创建一个链接到 scaleR 的 hadoop-0.1-SNAPSHOT.jar。但是，这是不正确的目录 （已报告 bug） 并应链接的文件，或将其复制到 /opt/mapr/hadoop/hadoop-2.4.1/share/hadoop/common/lib/ 中。链接 /opt/mapr/hadoop/hadoop-0.20.2/c++/Linux-amd64-64/lib/libhdfs.so /usr/lib64 在将确保正确 libhdfs.so 位于由革命。第三步则需要将问题 libhdfs.so 移开。
