crontab定时运行MR不行，手动shell可以执行成功问题排查过程

最新推荐文章于 2024-12-03 23:58:50 发布

h_1_y_m

最新推荐文章于 2024-12-03 23:58:50 发布

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分类专栏：大数据云计算文章标签： crontab MR

本文链接：https://blog.youkuaiyun.com/h_1_y_m/article/details/84914068

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本文详细记录了在crontab中定时运行MR任务遇到的问题及排查过程，包括手动执行shell脚本成功，但在crontab中执行失败。通过检查shell脚本格式、定时任务调度、环境变量对比，最终发现是HADOOP_CLASSPATH环境变量未正确设置，导致找不到相关类。解决方法是在脚本中添加环境变量设置并导出。

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设置了定时任务，但MR任务没有执行。

第一步：手动执行shell脚本，如果有问题，检查相关设置，如source /etc/profile, 绝对路径之类这里不是重点，手动可以执行成功
第二步：检查shell脚本文件格式，设置测试输出，确保crontab任务调度没有问题，测试hymtest.sh

#!/bin/bash
DATE=$(date +%Y%m%d:%H:%M:%S)
echo $DATE + "every minute test">>/bigdata/shell/hymoutput.txt
echo 导入每天指数涨跌排行数据 {存到：hbase："jmdata:topIndex"}>>/bigdata/shell/hymoutput.txt
hadoop jar /bigdata/cdh/jmdata-jdata-mrs-index.jar org.jumao.jdata.mrs.index.TopIndexMR
echo "end topIndex MR">>/bigdata/shell/hymoutput.txt

第三步：
定时任务调度室成功的，检查定时任务相关输出
cat /etc/crontab
SHELL=/bin/bash
PATH=/sbin:/bin:/usr/sbin:/usr/bin
MAILTO=root
HOME=/

# For details see man 4 crontabs

# Example of job definition:
# .---------------- minute (0 - 59)
# | .------------- hour (0 - 23)
# | | .---------- day of month (1 - 31)
# | | | .------- month (1 - 12) OR jan,feb,mar,apr ...
# | | | | .---- day of week (0 - 6) (Sunday=0 or 7) OR sun,mon,tue,wed,thu,fri,sat
# | | | | |
# * * * * * user-name command to be executed
15 2,15 * * * root sh /bigdata/shell/2-35indexmrs.sh
20 2,15 * * * root sh /bigdata/shell/2-40impexpmrs.sh
20 0,8 * * * root sh /bigdata/shell/0,8-20futuresmrs1.sh
25 0,8 * * * root sh /bigdata/shell/0,8-25futuresmrs2.sh
45 7,10,15 * * * root sh /bigdata/shell/1,7,10-45pricemrs.sh
40 */2 * * * root sh /bigdata/shell/2homemrs1.sh
42 */2 * * * root sh /bigdata/shell/2homemrs2.sh
48 */2 * * * root sh /bigdata/shell/2homemrs3.sh
10 */2 * * * root sh /bigdata/shell/2topmrs.sh
50 */1 * * * root sh /bigdata/shell/dailytaskmrs.sh
11 1,7,9,10,12,15,17,19 * * * root sh /bigdata/shell/englishhome.sh
5 8-16,18,20 * * * root sh /bigdata/shell/englishtocom.sh
16 1,7,12,15 * * * root sh /bigdata/shell/englishprice.sh
30 1,7,12,15 * * * root sh /bigdata/shell/englishcategory.sh
2 6 * * * root sh /bigdata/shell/englishtaskmrs.sh
50 2,15 * * * root sh /bigdata/shell/jmbitaskmr.sh
00 3 1 * * /bin/sh /bigdata/shell/logclear.sh
*/1 * * * * root /etc/profile;/bin/sh /bigdata/shell/hymtest.sh >>/bigdata/shell/hymout.txt 2>&1

结果可以看到如下异常：
Exception in thread "main" java.lang.NoClassDefFoundError: org/apache/hadoop/hbase/mapreduce/TableMapReduceUtil
at org.jumao.jdata.mrs.index.TopIndexMR.main(TopIndexMR.java:99)
at sun.reflect.NativeMethodAccessorImpl.invoke0(Native Method)
at sun.reflect.NativeMethodAccessorImpl.invoke(NativeMethodAccessorImpl.java:62)
at sun.reflect.DelegatingMethodAccessorImpl.invoke(DelegatingMethodAccessorImpl.java:43)
at java.lang.reflect.Method.invoke(Method.java:498)
at org.apache.hadoop.util.RunJar.run(RunJar.java:221)
at org.apache.hadoop.util.RunJar.main(RunJar.java:136)
Caused by: java.lang.ClassNotFoundException: org.apache.hadoop.hbase.mapreduce.TableMapReduceUtil
at java.net.URLClassLoader.findClass(URLClassLoader.java:381)
at java.lang.ClassLoader.loadClass(ClassLoader.java:424)
at java.lang.ClassLoader.loadClass(ClassLoader.java:357)
... 7 more

第四步：
对比手动shell的环境变量 env和 crontab运行时的环境变量，输出到文件
在hymtest.sh中加入

#!/bin/bash
source /etc/profile
env>>/bigdata/shell/hymout.txt
DATE=$(date +%Y%m%d:%H:%M:%S)
echo $DATE + "every minute test">>/bigdata/shell/hymoutput.txt
echo 导入每天指数涨跌排行数据 {存到：hbase："jmdata:topIndex"}>>/bigdata/shell/hymoutput.txt
/opt/cloudera/parcels/CDH/lib/hadoop/bin/hadoop jar /bigdata/cdh/jmdata-jdata-mrs-index.jar org.jumao.jdata.mrs.index.TopIndexMR
echo "end topIndex MR">>/bigdata/shell/hymoutput.txt

手动env
HOSTNAME=nn1
TERM=xterm
SHELL=/bin/bash
HADOOP_HOME=/opt/cloudera/parcels/CDH/lib/hadoop
HISTSIZE=1000
SSH_CLIENT=172.18.203.112 49374 22
QTDIR=/usr/lib64/qt-3.3
QTINC=/usr/lib64/qt-3.3/include
SSH_TTY=/dev/pts/0
USER=root
LS_COLORS=rs=0:di=01;34:ln=01;36:mh=00:pi=40;33:so=01;35:do=01;35:bd=40;33;01:cd=40;33;01:or=40;31;01:mi=01;05;37;41:su=37;41:sg=30;43:ca=30;41:tw=30;42:ow=34;42:st=37;44:ex=01;32:*.tar=01;31:*.tgz=01;31:*.arj=01;31:*.taz=01;31:*.lzh=01;31:*.lzma=01;31:*.tlz=01;31:*.txz=01;31:*.zip=01;31:*.z=01;31:*.Z=01;31:*.dz=01;31:*.gz=01;31:*.lz=01;31:*.xz=01;31:*.bz2=01;31:*.tbz=01;31:*.tbz2=01;31:*.bz=01;31:*.tz=01;31:*.deb=01;31:*.rpm=01;31:*.jar=01;31:*.rar=01;31:*.ace=01;31:*.zoo=01;31:*.cpio=01;31:*.7z=01;31:*.rz=01;31:*.jpg=01;35:*.jpeg=01;35:*.gif=01;35:*.bmp=01;35:*.pbm=01;35:*.pgm=01;35:*.ppm=01;35:*.tga=01;35:*.xbm=01;35:*.xpm=01;35:*.tif=01;35:*.tiff=01;35:*.png=01;35:*.svg=01;35:*.svgz=01;35:*.mng=01;35:*.pcx=01;35:*.mov=01;35:*.mpg=01;35:*.mpeg=01;35:*.m2v=01;35:*.mkv=01;35:*.ogm=01;35:*.mp4=01;35:*.m4v=01;35:*.mp4v=01;35:*.vob=01;35:*.qt=01;35:*.nuv=01;35:*.wmv=01;35:*.asf=01;35:*.rm=01;35:*.rmvb=01;35:*.flc=01;35:*.avi=01;35:*.fli=01;35:*.flv=01;35:*.gl=01;35:*.dl=01;35:*.xcf=01;35:*.xwd=01;35:*.yuv=01;35:*.cgm=01;35:*.emf=01;35:*.axv=01;35:*.anx=01;35:*.ogv=01;35:*.ogx=01;35:*.aac=01;36:*.au=01;36:*.flac=01;36:*.mid=01;36:*.midi=01;36:*.mka=01;36:*.mp3=01;36:*.mpc=01;36:*.ogg=01;36:*.ra=01;36:*.wav=01;36:*.axa=01;36:*.oga=01;36:*.spx=01;36:*.xspf=01;36:
HBASE_HOME=/opt/cloudera/parcels/CDH/lib/hbase
HADOOP_COMMON_LIB_NATIVE_DIR=/opt/cloudera/parcels/CDH/lib/hadoop/lib/native
MAIL=/var/spool/mail/root
PATH=/usr/java/jdk1.8.0_131/bin:/opt/cloudera/parcels/CDH/lib/hadoop/bin:/opt/cloudera/parcels/CDH/lib/hbase/bin:/usr/lib64/qt-3.3/bin:/usr/local/sbin:/usr/local/bin:/sbin:/bin:/usr/sbin:/usr/bin:/root/bin
PWD=/bigdata/shell
JAVA_HOME=/usr/java/jdk1.8.0_131
HADOOP_CLASSPATH=:/opt/cloudera/parcels/CDH-5.10.1-1.cdh5.10.1.p0.10/lib/hive/lib/*:/opt/cloudera/parcels/CDH-5.10.1-1.cdh5.10.1.p0.10/lib/hive-hcatalog/share/hcatalog/*
EDITOR=vi
LANG=en_US.UTF-8
HISTCONTROL=ignoredups
SHLVL=1
HOME=/root
LOGNAME=root
QTLIB=/usr/lib64/qt-3.3/lib
CVS_RSH=ssh
CLASSPATH=.:/usr/java/jdk1.8.0_131/lib/dt.jar:/usr/java/jdk1.8.0_131/lib/tools.jar
SSH_CONNECTION=172.18.203.112 49374 172.18.203.111 22
LESSOPEN=||/usr/bin/lesspipe.sh %s
G_BROKEN_FILENAMES=1
HIVE_CONF_DIR=/etc/hive/conf
_=/bin/env
OLDPWD=/root

对比发现关键的没有以下环境变量设置，导致找不到相关的class
HADOOP_CLASSPATH=:/opt/cloudera/parcels/CDH-5.10.1-1.cdh5.10.1.p0.10/lib/hive/lib/*:/opt/cloudera/parcels/CDH-5.10.1-1.cdh5.10.1.p0.10/lib/hive-hcatalog/share/hcatalog/*

第五步，修正，执行成功，在执行MR前导出环境变量，指定MR依赖的包，当然这些依赖的包也可以直接copy到集群每台hadoop的lib下，最初部署MR任务做法就是如此。
#!/bin/bash
source /etc/profile
export HADOOP_CLASSPATH=:/opt/cloudera/parcels/CDH-5.10.1-1.cdh5.10.1.p0.10/lib/hive/lib/*:/opt/cloudera/parcels/CDH-5.10.1-1.cdh5.10.1.p0.10/lib/hive-hcatalog/share/hcatalog/*

env>>/bigdata/shell/hymout.txt
DATE=$(date +%Y%m%d:%H:%M:%S)
echo $DATE + "every minute test">>/bigdata/shell/hymoutput.txt
echo 导入每天指数涨跌排行数据 {存到：hbase："jmdata:topIndex"}>>/bigdata/shell/hymoutput.txt
/opt/cloudera/parcels/CDH/lib/hadoop/bin/hadoop jar /bigdata/cdh/jmdata-jdata-mrs-index.jar org.jumao.jdata.mrs.index.TopIndexMR
echo "end topIndex MR">>/bigdata/shell/hymoutput.txt