[hadoop@node1 ~]$ pwd
/home/hadoop
[hadoop@node1 ~]$ mkdir job
[hadoop@node1 ~]$ ls
Desktop    Downloads  job   Music                                     Pictures  Templates
Documents  hive       logs  mysql-community-release-el7-5.noarch.rpm  Public    Videos
[hadoop@node1 ~]$ cd job/
[hadoop@node1 job]$ vim upload.sh

#!/bin/bash#set java env
export JAVA_HOME=/opt/modules/jdk1.8.0_65
export JRE_HOME=${JAVA_HOME}/jre
export CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib
export PATH=${JAVA_HOME}/bin:$PATH#set hadoop env
export HADOOP_HOME=/opt/modules/hadoop-2.6.0
export PATH=${HADOOP_HOME}/bin:${HADOOP_HOME}/sbin:$PATHlog_src_dir=/home/hadoop/logs/log/
log_toupload_dir=/home/hadoop/logs/toupload/
hdfs_root_dir=/data/clickLog/20190620/echo "log_src_dir:"$log_src_dir
ls $log_src_dir | while read fileName
doif [[ "$fileName" == access.log ]]; then# if [ "access.log" = "$fileName" ];thendate=`date +%Y_%m_%d_%H_%M_%S`#将文件移动到待上传目录并重命名#打印信息echo "moving $log_src_dir$fileName to $log_toupload_dir"xxxxx_click_log_$fileName"$date"mv $log_src_dir$fileName $log_toupload_dir"xxxxx_click_log_$fileName"$date#将待上传的文件path写入一个列表文件willDoingecho $log_toupload_dir"xxxxx_click_log_$fileName"$date >> $log_toupload_dir"willDoing."$datefidone#找到列表文件willDoing
ls $log_toupload_dir | grep will |grep -v "_COPY_" | grep -v "_DONE_" | while read line
do#打印信息echo "toupload is in file:"$line#将待上传文件列表willDoing改名为willDoing_COPY_mv $log_toupload_dir$line $log_toupload_dir$line"_COPY_"#读列表文件willDoing_COPY_的内容（一个一个的待上传文件名）  ,此处的line 就是列表中的一个待上传文件的pathcat $log_toupload_dir$line"_COPY_" |while read linedo#打印信息echo "puting...$line to hdfs path.....$hdfs_root_dir"hadoop fs -put $line $hdfs_root_dirdone    mv $log_toupload_dir$line"_COPY_"  $log_toupload_dir$line"_DONE_"
done

[hadoop@node1 job]$ ls
upload.sh
[hadoop@node1 job]$ pwd
/home/hadoop/job
[hadoop@node1 job]$ ll
total 4
-rw-rw-r--. 1 hadoop hadoop 1734 Jun 20 10:57 upload.sh
[hadoop@node1 job]$ chmod 777 upload.sh
[hadoop@node1 job]$ ll
total 4
-rwxrwxrwx. 1 hadoop hadoop 1734 Jun 20 10:57 upload.sh
[hadoop@node1 job]$