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>
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} &
#!/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='9' #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:$MY_LIB_PATH/commons-pool-1.5.4.jar:$MY_LIB_PATH/commons-dbcp-1.2.2.jar:$MY_LIB_PATH/c3p0-0.9.1.jar:$MY_LIB_PATH/spring-2.5.5.jar:$MY_LIB_PATH/commons-logging.jar:$MY_LIB_PATH/commons-io-1.3.1.jar:$MY_LIB_PATH/commons-lang-2.2.jar:$MY_LIB_PATH/log4j-1.2.13.jar:$MY_LIB_PATH/commons-collections-2.1.1.jar:$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 "0" ]; then return 0 else return 1 fi } start(){ for ((i=0;i<number;i=i+1)) do is_proc_run $i #echo "$?" if [ "$?" -eq "1" ]; then echo "The Process is Exists" echo "$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=31 -XX:+DisableExplicitGC -XX:+UseConcMarkSweepGC -XX:+UseParNewGC -XX:+CMSParallelRemarkEnabled -XX:+UseCMSCompactAtFullCollection -XX:LargePageSizeInBytes=256m -XX:+UseFastAccessorMethods >/dev/null 2>&1 & sleep 1 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=0;i<number;i=i+1)) do is_proc_run $i if [ "$?" -eq "1" ]; 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 "0" ]; 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 $2 }'| xargs kill -9 echo "$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=0;i<number;i=i+1)) do is_proc_run $i if [ "$?" -eq "1" ]; 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 " start - start ${PROC_NAME}" echo -e " stop - stop ${PROC_NAME}" echo -e " status - list ${PROC_NAME}" echo -e " restart - restart ${PROC_NAME}" } #======================================================================= # 主发送程序启动，状态，停止，重启 2012-7-12 hzg #======================================================================= case $1 in start) # stop start ;; status) status ;; stop) stop ;; restart) stop start ;; *) usage esac
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(); }
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; }
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 &
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