Linux操作、hadoop和sh脚本小结

近期一直在忙项目上的事情,今天对以前的工作做一个简单的小结。明天就是国庆节啦。

1  脚本可以手动执行,可是crontab缺总是找不到路径?

#!/bin/bash
. /etc/profile
. /home/sms/.bash_profile

请在脚本中加入 本机的环境变量和用户的环境变量的配置

2 config.ini文件总是出现乱码,导致读入的数据莫名其妙?

更改config的编码为ANSI, UTF-8不一定是更好的选择。

3 logback.xml配置不起作用

可能是pom文件引入jar文件相互之间有屏蔽的影响。把logback依赖的文件放入到前面试试。
<?xml version="1.0" encoding="UTF-8"?>
<configuration>
<appender name="FILE-THREAD" class="ch.qos.logback.classic.sift.SiftingAppender">
<discriminator>
<key>logname</key>
<defaultValue>rdjklog</defaultValue>
</discriminator>
<sift>
<appender name="FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${logname}.log</file> <rollingPolicy class="ch.qos.logback.core.rolling.FixedWindowRollingPolicy">
<fileNamePattern>${logname}.log.%i</fileNamePattern>
<minIndex>1</minIndex>
<maxIndex>10</maxIndex>
</rollingPolicy> <triggeringPolicy
class="ch.qos.logback.core.rolling.SizeBasedTriggeringPolicy">
<maxFileSize>10MB</maxFileSize>
</triggeringPolicy> <!-- encoders are assigned the type
ch.qos.logback.classic.encoder.PatternLayoutEncoder by default -->
<encoder>
<pattern>%d{yyyy-MM-dd HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
</encoder>
</appender> </sift>
</appender> <root level="debug">
<appender-ref ref="FILE-THREAD"/>
</root>
</configuration>

logback文件-样例

4 SVN提交总是冲突,是不是没有update

在操纵之前update源码,确保代码是最新的版本。

5 crontab 运行脚本是一个好的选择吗?

#!/bin/bash

# KpiAggregator run script(mainly for crontab)
# author: Alfred
# created: 2015/08/31
# history:
# 2015/08/31 - add sourcing /etc/profile and ~/.bash_profile to solve crontab env problem . /etc/profile
. /home/sms/.bash_profile v_dir=$(dirname $0)
v_basename=$(basename $0 .sh)
v_logname=${v_dir}/${v_basename} # parameters
v_topo_index=$(echo $v_basename | awk -F'_' '{print $3}')
v_redis_url=$(grep "^${v_topo_index}.redis.url" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
v_db_driver=$(grep "^${v_topo_index}.db.driver" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
v_db_url=$(grep "^${v_topo_index}.db.url" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
v_db_user=$(grep "^${v_topo_index}.db.user" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
v_db_password=$(grep "^${v_topo_index}.db.password" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
v_monitor_time=$(grep "^${v_topo_index}.monitor.time" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
v_monitor_timedis=$(grep "^${v_topo_index}.monitor.timedis" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
v_monitor_timeDistrict=$(grep "^${v_topo_index}.monitor.timeDistrict" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
v_monitor_sender=$(grep "^${v_topo_index}.monitor.sender" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
v_monitor_smtpHost=$(grep "^${v_topo_index}.monitor.smtpHost" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
v_monitor_user=$(grep "^${v_topo_index}.monitor.user" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
v_monitor_password=$(grep "^${v_topo_index}.monitor.password" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
v_monitor_mailtitle=$(grep "^${v_topo_index}.monitor.mailtitle" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
v_monitor_dirfielCount=$(grep "^${v_topo_index}.monitor.dirfielCount" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
v_kloader_indir=$(grep "^${v_topo_index}.kloader.indir" $v_dir/config.ini | awk -F '=' '{print $2}' | head -1)
echo $
nohup java -cp $v_dir/../lib/log4j-1.2.9.jar:$(ls $v_dir/../jar/rta-*-with-dependencies.jar) DataMonitor redis.url=${v_redis_url} topo.index=${v_topo_index} db.driver=${v_db_driver} db.url=${v_db_url} db.user=${v_db_user} db.password=${v_db_password} monitor.time=${v_monitor_time} monitor.timedis=${v_monitor_timedis} monitor.timeDistrict=${v_monitor_timeDistrict} monitor.sender=${v_monitor_sender} monitor.smtpHost=${v_monitor_smtpHost} monitor.user=${v_monitor_user} monitor.password=${v_monitor_password} monitor.mailtitle=${v_monitor_mailtitle} monitor.dirfielCount=${v_monitor_dirfielCount} kloader.indir=${v_kloader_indir} logname=${v_logname} &

例子1

#!/bin/bash

. ~/.bash_profile

#外部JAR包引用

MY_LIB_PATH=/home/utxt/software/zdgh/SmsApplication_GG/lib

#定义通道数量
number='' #程序工作路径
work_path=/home/utxt/software/zdgh/SmsApplication_GG/bin CLASSPATH=.:$CLASSPATH:$JAVA_HOME/lib:$JAVA_HOME/lib/dt.jar:$JAVA_HOME/lib/tools.jar:$JAVA_HOME/lib:$MY_LIB_PATH/msutil.jar:$MY_LIB_PATH/msbase.jar:$MY_LIB_PATH/ojdbc14.jar:$MY_LIB_PATH/commons-pool-1.5..jar:$MY_LIB_PATH/commons-dbcp-1.2..jar:$MY_LIB_PATH/c3p0-0.9..jar:$MY_LIB_PATH/spring-2.5..jar:$MY_LIB_PATH/commons-logging.jar:$MY_LIB_PATH/commons-io-1.3..jar:$MY_LIB_PATH/commons-lang-2.2.jar:$MY_LIB_PATH/log4j-1.2..jar:$MY_LIB_PATH/commons-collections-2.1..jar:$MY_LIB_PATH/cglib-src-2.2.jar export LANG="zh_CN.GBK" PROC_DESC="CMPP网关短信下发程序" is_proc_run(){
result=`ps -ef| grep -P "CmppStart $i " | grep -v grep | wc -l`
if [ "$result" -eq "" ]; then
return
else
return
fi
} start(){
for ((i=;i<number;i=i+))
do
is_proc_run $i
#echo "$?"
if [ "$?" -eq "" ]; then
echo "The Process is Exists"
echo "$PROC_DESC 通道【$i】---->已运行"
else cd $work_path
nohup java com.witsky.sms.cmpp.app.proc.CmppStart $i -server -XX:+PrintGCTimeStamps -XX:+PrintGCDetails -Xmx512m -Xms512m -Xmn512m -XX:PermSize=128m -Xss256k -XX:MaxTenuringThreshold= -XX:+DisableExplicitGC -XX:+UseConcMarkSweepGC -XX:+UseParNewGC -XX:+CMSParallelRemarkEnabled -XX:+UseCMSCompactAtFullCollection -XX:LargePageSizeInBytes=256m -XX:+UseFastAccessorMethods >/dev/null >& &
sleep cmppid=`ps -ef|grep " com.witsky.sms.cmpp.app.proc.CmppStart $i " | grep -v grep | awk '{print $2}'`
if [ -n "$cmppid" ]; then
echo "$i process spid is $cmppid"
echo "$PROC_DESC [$i]通道进程号[$cmppid]"
else
echo "$i Process spid is not exists"
echo "$PROC_DESC 通道【$i】---->不存在 "
fi
fi
done } stop(){
for ((i=;i<number;i=i+))
do
is_proc_run $i
if [ "$?" -eq "" ]; then
echo "Kill the Process"
cmppid=`ps -ef|grep " com.witsky.sms.cmpp.app.proc.CmppStart $i " |grep -v grep|awk '{print $2 }'|wc -l`
if [ "$cmppid" -eq "" ]; then
echo " The Process is not Exists"
echo "$PROC_DESC 通道【$i】---->不存在 " else
cmppid=`ps -ef|grep " com.witsky.sms.cmpp.app.proc.CmppStart $i " | grep -v grep | awk '{print $2}'`
ps -ef |grep " com.witsky.sms.cmpp.app.proc.CmppStart $i " |grep -v grep|awk '{print $2 }'| xargs kill -
echo "$PROC_DESC 通道【$i】进程号[$cmppid]----->已杀死 "
fi
else
echo "The Process is not Exists"
echo "$PROC_DESC 通道【$i】---->不存在"
fi done } status(){
for ((i=;i<number;i=i+))
do
is_proc_run $i
if [ "$?" -eq "" ]; then
cmppid=`ps -ef |grep " com.witsky.sms.cmpp.app.proc.CmppStart $i " |grep -v grep|awk '{print $2 }'`
if [ -n "$cmppid" ]; then
echo "$i process spid is $cmppid"
echo "$PROC_DESC 通道【$i】---->已运行"
else
echo "The Process is not Exists"
echo "$PROC_DESC 通道【$i】---->不存在"
fi
else
echo "The Process is not Exists"
echo "$PROC_DESC 通道【$i】---->不存在"
fi
done } usage(){
echo ${PROC_DESC} usage:
echo -e "`basename $0` <start|stop|status|restart>"
echo -e "\tstart - start ${PROC_NAME}"
echo -e "\tstop - stop ${PROC_NAME}"
echo -e "\tstatus - list ${PROC_NAME}"
echo -e "\trestart - restart ${PROC_NAME}"
} #=======================================================================
# 主发送程序启动,状态,停止,重启 -- hzg
#=======================================================================
case $ in
start)
# stop
start
;;
status)
status ;;
stop)
stop
;;
restart)
stop
start
;;
*)
usage
esac

例子2

可嵌入Strom运行,或者实时计算。

6 hadoop处理小文件,怎么办?

基本的办法是把众多小文件,合并为大文件。再MapReduce,实测确实比较快。
比如原来的文件是2000个500k的小文件,伪分布的MapReduce耗时4到5个小时。
合并为一个大文件后,耗时为1分钟左右。合并的方法也很简单,可参考如下代码。
public static void putMergeFunc(String LocalDir, String fsFile)
throws IOException { Configuration conf = new Configuration();
FileSystem fs = FileSystem.get(conf); // fs是HDFS文件系统
FileSystem local = FileSystem.getLocal(conf); // 本地文件系统
FileStatus[] status = local.listStatus(new Path(LocalDir)); // 得到输入目录
FSDataOutputStream out = fs.create(new Path(fsFile)); // 在HDFS上创建输出文件 for (FileStatus st : status) {
Path temp = st.getPath();
FSDataInputStream in = local.open(temp);
IOUtils.copyBytes(in, out, 4096, false); // 读取in流中的内容放入out
in.close(); // 完成后,关闭当前文件输入流
}
out.close();
}

合并本地小文件上传HDFS

7 hadoop怎么用java -cp的方式执行?

项目执行过程中,一般会把需要的jar包整体打包,一般不会用hadoop jar的方式执行。
只需注意两个地方就行。Configuration需要添加特定的xml和通信机制,否则访问不到HDFS文件系统。
在其它的函数中,调用createFS方法,就可以访问和写入HDFS文件了。
import org.apache.commons.httpclient.URI;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FileStatus;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.Path; /**
* 客户端xml配置文件, 待更改
* @return
*/
public static Configuration getConf(){
Configuration conf = new Configuration();
conf.addResource("../../hadoop/core-site.xml");
conf.addResource("../../hadoop/hdfs-site.xml");
conf.addResource("../../hadoop/mapred-site.xml");
conf.set("fs.hdfs.impl", org.apache.hadoop.hdfs.DistributedFileSystem.class.getName());
conf.set("fs.file.impl", org.apache.hadoop.fs.LocalFileSystem.class.getName());
return conf;
} /**
* 返回特定的fs文件系统
* @return
*/
public static FileSystem createFS(){
Configuration conf = getConf();
try{
URI uri = new URI(ConArgs.hdfsInPathDir, false);
String hdfs = uri.getScheme() + "://" + uri.getHost() + ":" + uri.getPort();
FileSystem fs = FileSystem.get(java.net.URI.create(hdfs), conf); return fs; }catch(Exception e){ logger.error("createFS() wrong, please check hdfsInPathDir.");
System.exit(-1);
} return null;
}

getHDFS

java 指定内存运行命令行

java启动参数调整
nohup java -cp $v_dir/../cfg:$v_dir/../lib/icp.jar:$(ls $v_dir/../jar/bsssa-*-with-dependencies.jar) -server -Xms2g -Xmx2g -XX:MaxPermSize=256m -Xloggc:/utxt/soft/bss/proglog/gc.log -XX:+PrintGCDetails -XX:+PrintGCDateStamps -Diname=witskybss cn.witsky.smb.bss.Main &

指定内存

8 关键路径和关联规则,以及频繁项集之间的联系?

9 速度计算、拥堵指数计算,贝叶斯统计?

参考资料

1 Hadoop Map中获取当前spilt文件名    http://blog.csdn.net/shallowgrave/article/details/7757914

2 Linux中crontab的坑爹环境变量问题    http://blog.csdn.net/dancen/article/details/24355287

3 linux中crontable的用法   http://www.xuebuyuan.com/1791389.html

4 hadoop java-jar运行,yarn框架   http://blog.163.com/silver9886@126/blog/static/35971862201432163918529/

5 hadoop map读取参数     http://blog.csdn.net/zdy0_2004/article/details/46335195

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