24.Azkaban调度脚本的编写

启动azkaban

在启动了server和excutor之后，在浏览器打开azkaban,会发现不能打开，日志报这个错误

    at sun.security.ssl.InputRecord.handleUnknownRecord(InputRecord.java:710)
    at sun.security.ssl.InputRecord.read(InputRecord.java:527)
    at sun.security.ssl.SSLSocketImpl.readRecord(SSLSocketImpl.java:975)
    at sun.security.ssl.SSLSocketImpl.performInitialHandshake(SSLSocketImpl.java:1367)
    at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1395)
    at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1379)
    at org.mortbay.jetty.security.SslSocketConnector$SslConnection.run(SslSocketConnector.java:708)
    at org.mortbay.thread.QueuedThreadPool$PoolThread.run(QueuedThreadPool.java:582)
2019/09/01 15:18:24.499 +0800 WARN [log] [Azkaban] EXCEPTION 
javax.net.ssl.SSLException: Unrecognized SSL message, plaintext connection?
    at sun.security.ssl.InputRecord.handleUnknownRecord(InputRecord.java:710)
    at sun.security.ssl.InputRecord.read(InputRecord.java:527)
    at sun.security.ssl.SSLSocketImpl.readRecord(SSLSocketImpl.java:975)
    at sun.security.ssl.SSLSocketImpl.performInitialHandshake(SSLSocketImpl.java:1367)
    at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1395)
    at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1379)
    at org.mortbay.jetty.security.SslSocketConnector$SslConnection.run(SslSocketConnector.java:708)
    at org.mortbay.thread.QueuedThreadPool$PoolThread.run(QueuedThreadPool.java:582)
2019/09/01 15:18:24.680 +0800 WARN [log] [Azkaban] EXCEPTION 
javax.net.ssl.SSLException: Unrecognized SSL message, plaintext connection?
    at sun.security.ssl.InputRecord.handleUnknownRecord(InputRecord.java:710)
    at sun.security.ssl.InputRecord.read(InputRecord.java:527)
    at sun.security.ssl.SSLSocketImpl.readRecord(SSLSocketImpl.java:975)
    at sun.security.ssl.SSLSocketImpl.performInitialHandshake(SSLSocketImpl.java:1367)
    at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1395)
    at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1379)
    at org.mortbay.jetty.security.SslSocketConnector$SslConnection.run(SslSocketConnector.java:708)
    at org.mortbay.thread.QueuedThreadPool$PoolThread.run(QueuedThreadPool.java:582)
2019/09/01 15:18:24.809 +0800 WARN [log] [Azkaban] EXCEPTION 
javax.net.ssl.SSLException: Unrecognized SSL message, plaintext connection?
    at sun.security.ssl.InputRecord.handleUnknownRecord(InputRecord.java:710)
    at sun.security.ssl.InputRecord.read(InputRecord.java:527)
    at sun.security.ssl.SSLSocketImpl.readRecord(SSLSocketImpl.java:975)
    at sun.security.ssl.SSLSocketImpl.performInitialHandshake(SSLSocketImpl.java:1367)
    at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1395)
    at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1379)
    at org.mortbay.jetty.security.SslSocketConnector$SslConnection.run(SslSocketConnector.java:708)
    at org.mortbay.thread.QueuedThreadPool$PoolThread.run(QueuedThreadPool.java:582)
2019/09/01 15:26:14.746 +0800 WARN [log] [Azkaban] EXCEPTION 
javax.net.ssl.SSLHandshakeException: Remote host closed connection during handshake
    at sun.security.ssl.SSLSocketImpl.readRecord(SSLSocketImpl.java:994)
    at sun.security.ssl.SSLSocketImpl.performInitialHandshake(SSLSocketImpl.java:1367)
    at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1395)
    at sun.security.ssl.SSLSocketImpl.startHandshake(SSLSocketImpl.java:1379)
    at org.mortbay.jetty.security.SslSocketConnector$SslConnection.run(SslSocketConnector.java:708)
    at org.mortbay.thread.QueuedThreadPool$PoolThread.run(QueuedThreadPool.java:582)
Caused by: java.io.EOFException: SSL peer shut down incorrectly
    at sun.security.ssl.InputRecord.read(InputRecord.java:505)
    at sun.security.ssl.SSLSocketImpl.readRecord(SSLSocketImpl.java:975)
    ... 5 more

其实这个问题不难解决，在打开的时候建议用谷歌浏览器：地址是  https://192.168.86.131:8443/（https://你的ip:8433）

注意了，之前一直不能打开是因为使用了http,这里强调一下，一定不能用http,必须用https,然后选择高级选项，运行访问不安全的地址，因为这个地址被默认为不安全的

编写upload.job脚本

# upload.job
type=command
command=bash uploadFile2Hdfs.sh

编写uploadFile2Hdfs.sh脚本

#!/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:$PATH


#版本1的问题：
#虽然上传到Hadoop集群上了，但是原始文件还在。如何处理？
#日志文件的名称都是xxxx.log1,再次上传文件时，因为hdfs上已经存在了，会报错。如何处理？

#如何解决版本1的问题
#       1、先将需要上传的文件移动到待上传目录
#    2、在讲文件移动到待上传目录时，将文件按照一定的格式重名名
#        /export/software/hadoop.log1   /export/data/click_log/xxxxx_click_log_{date}


#日志文件存放的目录
log_src_dir=/home/hadoop/logs/log/ 

#待上传文件存放的目录
log_toupload_dir=/home/hadoop/logs/toupload/

day_01=`date -d'-1 day' +%Y-%m-%d`
syear=`date --date=$day_01 +%Y`
smonth=`date --date=$day_01 +%m`
sday=`date --date=$day_01 +%d`

#echo $day_01
#echo $syear
#echo $smonth
#echo $sday






#日志文件上传到hdfs的根路径
hdfs_root_dir=/data/clickLog/$syear/$smonth/$sday

hadoop fs -mkdir -p $hdfs_root_dir

#打印环境变量信息
echo "envs: hadoop_home: $HADOOP_HOME"


#读取日志文件的目录，判断是否有需要上传的文件
echo "log_src_dir:"$log_src_dir
ls $log_src_dir | while read fileName
do
    if [[ "$fileName" == access.log ]]; then
    # if [ "access.log" = "$fileName" ];then
        date=`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willDoing
        echo $log_toupload_dir"xxxxx_click_log_$fileName"$date >> $log_toupload_dir"willDoing."$date
    fi
    
done
#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path
    cat $log_toupload_dir$line"_COPY_" |while read line
    do
        #打印信息
        echo "puting...$line to hdfs path.....$hdfs_root_dir"
        hadoop fs -put $line $hdfs_root_dir
    done    
    mv $log_toupload_dir$line"_COPY_"  $log_toupload_dir$line"_DONE_"
done

然后把这两个脚本打包

 进入azkaban的登录页面

选择刚刚打包的upflow.zip

这个时候把日志文件上传到集群上

查看HDFS目录，证明文件上传成功

 本地集群的日志文件也不在了

编写脚本clean.job

# clean.job
type=command
dependencies=upload
command=bash clean.sh

编写clean.sh脚本

#!/bin/bash
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:${HADOOP_HOME}/sbin:$PATH

log_local_dir=/home/hadoop/flume/

#log_hdfs_dir=/test/2017/7/

day_01=`date -d'-1 day' +%Y-%m-%d`
syear=`date --date=$day_01 +%Y`
smonth=`date --date=$day_01 +%m`
sday=`date --date=$day_01 +%d`

#echo $day_01
#echo $syear
#echo $smonth
#echo $sday

log_hdfs_dir=/data/clickLog/$syear/$smonth/$sday
#echo $log_hdfs_dir
click_log_clean=com.it19gong.clickLog.AccessLogDriver

clean_dir=/cleaup/$syear/$smonth/$sday

echo "hadoop jar /home/hadoop/hivedome/hiveaad.jar $click_log_clean $log_hdfs_dir $clean_dir"
hadoop fs -rm -r -f $clean_dir
hadoop jar /home/hadoop/hivedome/mrclick.jar $click_log_clean $log_hdfs_dir $clean_dir

编写upload.job脚本

# upload.job
type=command
command=bash uploadFile2Hdfs.sh

然后将这四个脚本进行打包

上传数据文件

 

编写脚本hivesql.sh

#!/bin/bash
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:${HADOOP_HOME}/sbin:$PATH

export HIVE_HOME=/opt/modules/hive
export PATH=${HIVE_HOME}/bin:$PATH

log_local_dir=/home/hadoop/flume/

#log_hdfs_dir=/test/2017/7/

day_01=`date -d'-1 day' +%Y-%m-%d`
syear=`date --date=$day_01 +%Y`
smonth=`date --date=$day_01 +%m`
sday=`date --date=$day_01 +%d`

#echo $day_01
#echo $syear
#echo $smonth
#echo $sday

log_hdfs_dir=/data/clickLog/$syear/$smonth/$sday
#echo $log_hdfs_dir
click_log_clean=com.it19gong.clickLog.AccessLogDriver

clean_dir=/cleaup/$syear/$smonth/$sday
HQL_origin="load data inpath '$clean_dir' into table mydb2.access"
#HQL_origin="create external table db2.access(ip string,day string,url string,upflow string) row format delimited fields terminated by ',' location '$clean_dir'"
#echo $HQL_origin

hive -e  "$HQL_origin"

编写脚本hivesqljob.job

# hivesql.job
type=command
dependencies=clean
command=bash hivesql.sh

编写脚本ip.sh

#!/bin/bash
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:${HADOOP_HOME}/sbin:$PATH

export HIVE_HOME=/opt/modules/hive
export PATH=${HIVE_HOME}/bin:$PATH

log_local_dir=/home/hadoop/flume/

#log_hdfs_dir=/test/2017/7/

day_01=`date -d'-1 day' +%Y-%m-%d`
syear=`date --date=$day_01 +%Y`
smonth=`date --date=$day_01 +%m`
sday=`date --date=$day_01 +%d`

#echo $day_01
#echo $syear
#echo $smonth
#echo $sday

log_hdfs_dir=/data/clickLog/$syear/$smonth/$sday
#echo $log_hdfs_dir
click_log_clean=com.it19gong.clickLog.AccessLogDriver

clean_dir=/cleaup/$syear/$smonth/$sday

HQL_origin="insert into  mydb2.upflow  select ip,sum(upflow) as sum from mydb2.access group by ip order by sum desc "
#echo $HQL_origin

hive -e  "$HQL_origin"

编写脚本ipjob.job

# ip.job
type=command
dependencies=hivesqljob
command=bash ip.sh

编写脚本mysql.sh

#!/bin/bash
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:${HADOOP_HOME}/sbin:$PATH

export HIVE_HOME=/opt/modules/hive
export PATH=${HIVE_HOME}/bin:$PATH
export SQOOP_HOME=/opt/modules/sqoop
export PATH=${SQOOP_HOME}/bin:$PATH
sqoop export --connect 
 jdbc:mysql://node1:3306/userdb 
 --username sqoop --password sqoop --table upflow --export-dir 
/user/hive/warehouse/mydb2.db/upflow --input-fields-terminated-by ','

编写脚本mysqljob.job

# mysql.job
type=command
dependencies=ipjob
command=bash mysql.sh

打包成job.zip

上传日志文件

打开本地安装的phpsudy

在浏览器打开网页http://www.echart.com/