Hadoop集成BTrace

来源：互联网发布：程序员喜欢用的浏览器编辑：程序博客网时间：2024/05/21 07:47

1.BTrace

1.1BTrace部署

1.下载BTrace工具包，官网地址：https://kenai.com/projects/btrace/downloads/directory/releases

2.解压btrace-bin.tar.gz，命令如下：

$ tar -zxvf btrace-bin.tar.gz

3.配置环境变量

BTRACE_HOME=/usr/btrace-binPATH=$PATH:$BTRACE_HOME/bin

4.执行btrace（注意：$BTRACE_HOME/bin下btrace、btracec、btracer文件权限）命令如下，表示部署成功：

1.2BTrace脚本

BTrace测试脚本代码：

importcom.sun.btrace.annotations.*;  import static com.sun.btrace.BTraceUtils.*; @BTracepublic class TraceMR{       @TLS privatestaticlongmapperSetupStartTime = 0l;        @OnMethod(clazz="org.apache.hadoop.mapreduce.Mapper",                       method="run",                       location=@Location(where=Where.BEFORE, value=Kind.CALL,clazz="/.*/", method="setup"))       public static void onMapper_run_Before_Call_setup() {              mapperSetupStartTime =timeNanos();              println(strcat("MAP\tSTARTUP_MEM\t",str(used(heapUsage()))));       }        @OnMethod(clazz="org.apache.hadoop.mapreduce.Mapper",                       method="run",                       location=@Location(where=Where.AFTER, value=Kind.CALL,clazz="/.*/", method="setup"))       public static void onMapper_run_After_Call_setup() {              println(strcat("MAP\tSETUP\t",str(timeNanos() -mapperSetupStartTime)));              println(strcat("MAP\tSETUP_MEM\t",str(used(heapUsage()))));       }}

1.3编译BTrace脚本

编译命令：

$ btracec TraceMR.java

2.Hadoop配置

2.1分发文件

将BTrace文件：$BTRACE_HOME/build目录下的btrace-agent.jar和btrace-boot.jar，以及编译Btrace脚本后生成的class文件分发到各个子节点上。建议使用脚本分发，代码如下：

#!/usr/bin/envbash#Usage:#  ./install_btrace.sh <slaves_file># # where:#    slaves_file = File containing a list of slavemachines##Example:#  ./install_btrace.sh /root/SLAVE_NAMES.txt#Make sure we have all the argumentsif [$# -ne 1 ]; then   echo "Usage: $0<slaves_file>"   echo " slaves_file = File containing a list of slave machines"   echo ""   exit -1fi #Get the slaves filedeclareSLAVES_FILE=$1;iftest ! -e $SLAVES_FILE; then   echo "ERROR: The file '$SLAVES_FILE'does not exist. Exiting"   exit -1fi#Get the slaves filedeclareSLAVES_FILE=$1;iftest ! -e $SLAVES_FILE; then   echo "ERROR: The file '$SLAVES_FILE'does not exist. Exiting"   exit -1fi MASTER_BTRACE_DIR=/home/wangpeng/zhiming/usr/btrace/buildSLAVES_BTRACE_DIR=/home/wangpeng/zhiming/usr forslave in `cat "$SLAVES_FILE"`; do{   printf "Installing on host:$slave\n"   ssh $slave "mkdir -p$SLAVES_BTRACE_DIR"   scp ${MASTER_BTRACE_DIR}/btrace-agent.jar$slave:$SLAVES_BTRACE_DIR/.   scp ${MASTER_BTRACE_DIR}/btrace-boot.jar$slave:$SLAVES_BTRACE_DIR/.   scp ${MASTER_BTRACE_DIR}/TraceMR.class$slave:$SLAVES_BTRACE_DIR/.}done

2.2配置Hadoop文件

在所有子节点的$HADOOP_HOME安装目录下找到mapred-site.xml文件，进行如下设置：

代码：

<property>         <name>mapred.map.child.java.opts</name>         <value>     -Xmx1024m -javaagent:/home/wangpeng/zhiming/usr/btrace/build/btrace-agent.jar=script=/home/wangpeng/zhiming/usr//TraceMR.class,stdout=true,noServer=true         </value></property>

2.3运行MR程序

准备一个写好的MR程序，如WordCount.java程序；
.执行hadoop jar WordCount.jar WordCount /user/wzm/input /user/wzm/output。

2.4查看输出文件

在所有子节点的$HADOOP_HOME安装目录下找到logs目录中的stdout文件，执行命令：cat stdout，且有如下输出表示配置成功：

1 0