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

24.Azkaban调度脚本的编写_hdfs

 

 

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

24.Azkaban调度脚本的编写_java_02

 

 进入azkaban的登录页面

24.Azkaban调度脚本的编写_hadoop_03

 

 

 

 

 

24.Azkaban调度脚本的编写_hdfs_04

 

 

 

24.Azkaban调度脚本的编写_java_05

 

 

 

 

选择刚刚打包的upflow.zip

24.Azkaban调度脚本的编写_java_06

 

 

24.Azkaban调度脚本的编写_java_07

 

 

 

24.Azkaban调度脚本的编写_hdfs_08

 

 

这个时候把日志文件上传到集群上

24.Azkaban调度脚本的编写_hadoop_09

 

 

 

24.Azkaban调度脚本的编写_java_10

 

 

 

 

24.Azkaban调度脚本的编写_hadoop_11

 

 

 

24.Azkaban调度脚本的编写_hdfs_12

 

 

 

24.Azkaban调度脚本的编写_hdfs_13

 

 

 

 

查看HDFS目录,证明文件上传成功

24.Azkaban调度脚本的编写_hdfs_14

 

 本地集群的日志文件也不在了

24.Azkaban调度脚本的编写_hadoop_15

 

 

24.Azkaban调度脚本的编写_java_16

 

 

 

 

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

24.Azkaban调度脚本的编写_java_17

 

 

 

24.Azkaban调度脚本的编写_hadoop_18

 

 

 

24.Azkaban调度脚本的编写_hdfs_19

 

 

 

 

 

24.Azkaban调度脚本的编写_java_20

 

 

 

24.Azkaban调度脚本的编写_hadoop_21

 

 

 

 

24.Azkaban调度脚本的编写_java_22

 

 

 

 

24.Azkaban调度脚本的编写_java_23

 

 

 

上传数据文件

24.Azkaban调度脚本的编写_hadoop_24

 

 

 

24.Azkaban调度脚本的编写_hadoop_25

 

 

 

24.Azkaban调度脚本的编写_hdfs_26

 

 

24.Azkaban调度脚本的编写_java_27

 

 

 

24.Azkaban调度脚本的编写_java_28

 

 24.Azkaban调度脚本的编写_hdfs_29

 

 

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

24.Azkaban调度脚本的编写_hadoop_30

 

 

24.Azkaban调度脚本的编写_java_31

 

 

24.Azkaban调度脚本的编写_hdfs_32

 

 

 

24.Azkaban调度脚本的编写_hadoop_33

 

 

 

上传日志文件

24.Azkaban调度脚本的编写_hadoop_34

 

 

24.Azkaban调度脚本的编写_hdfs_35

 

 

24.Azkaban调度脚本的编写_hdfs_36

 

 

 

24.Azkaban调度脚本的编写_hadoop_37

 

 

24.Azkaban调度脚本的编写_hdfs_38

 

 

打开本地安装的phpsudy

24.Azkaban调度脚本的编写_hdfs_39

 

 

 

在浏览器打开网页​​http://www.echart.com/​

24.Azkaban调度脚本的编写_java_40