hadoop运行java程序(jar包)并运行时动态指定参数

hadoop运行java程序(jar包)并运行时动态指定参数

1）首先启动hadoop2个进程，进入hadoop/sbin目录下，依次启动如下命令

[root@node02 sbin]# pwd

/usr/server/hadoop/hadoop-2.7.0/sbin

sh start-dfs.sh

sh start-yarn.sh

jps

2）通过jps查看是否正确启动，确保启动如下6个程序

[root@node02 sbin]# jps

10096 DataNode

6952 NodeManager

9962 NameNode

10269 SecondaryNameNode

12526 Jps

6670 ResourceManager

3）如果启动带有文件的话，将文件加入到hdfs 的 /input下，如果出现如下错误的话，

[root@node02 hadoop-2.7.0]# hadoop fs -put sample.txt /input

21/01/02 01:13:15 WARN util.NativeCodeLoader: Unable to load native-hadoop library for atform... using builtin-java classes where applicable

在环境变量中添加如下字段

[root@node02 ~]# vim /etc/profile

export HADOOP_COMMON_LIB_NATIVE_DIR=${HADOOP_PREFIX}/lib/native

export HADOOP_OPTS="-Djava.library.path=$HADOOP_PREFIX/lib"

4）进入到hadoop根目录，根据存放位置决定

[root@node02 hadoop-2.7.0]# pwd

/usr/server/hadoop/hadoop-2.7.0

5）新建hadoop hdfs 文件系统上的 /input 文件夹(用于存放输入文件)

hadoop fs -mkdir /input

6）传入测试文件,测试文件需要自己上传到根目录下（仅供测试，生产环境下存放到指AYHmTIrMeY定目录）

[root@node02 hadoop-2.7.0]# hadoop fs -put sample.txt /input

7）查看传入文件是否存在

[root@node02 hadoop-2.7.0]# hadoop fs -ls /input

-rw-r--r-- 1 root supergroup 529 2021-01-02 01:13 /input/sample.txt

8）上传jar包到根目录下（生产环境下，放入指定目录下），测试jar包为study_demo.jar

[root@node02 hadoop-2.7.0]# ll

总用量 1968

drwxr-xr-x. 2 10021 10021 4096 4月 11 2015 bin

drwxr-xr-x. 3 10021 10021 4096 4月 11 2015 etc

drwxr-xr-x. 2 10021 10021 4096 4月 11 2015 include

drwxr-xr-x. 3 10021 10021 4096 4月 11 2015 lib

drwxr-xr-x. 2 10021 10021 4096 4月 11 2015 libexec

-rw-r--r--. 1 10021 10021 15429 4月 11 2015 LICENSE.txt

drwxr-xr-x. 3 root root 4096 1月 2 01:36 logs

-rw-r--r--. 1 10021 10021 101 4月 11 2015 NOTICE.txt

-rw-r--r--. 1 10021 10021 1366 4月 11 2015 README.txt

drwxr-xr-x. 2 10021 10021 4096 4月 11 2015 sbin

drwxr-xr-x. 4 10021 10021 4096 4月 11 2015 share

-rw-r--r--. 1 root root 1956989 6月 14 2021 study_demo.jar

9）使用hadoop 运行 java jar包，Main函数一定要加上全限定类名

hadoop jar study_demo.jar com.ncst.hadoop.MaxTemperature /input/sample.txt /output

10）运行结果缩略图

21/01/02 01:37:54 INFO mapreduce.Job: Counters: 49

File System Counters

FILE: Number of bytes read=61

FILE: Number of bytes written=342877

FILE: Number of read operations=0

FILE: Number of large read operations=0

FILE: Number of AYHmTIrMeYwrite operations=0

HDFS: Number of bytes read=974

HDFS: Number of bytes written=17

HDFS: Number of read operations=9

HDFS: Number of large read operations=0

HDFS: Number of write operations=2

Job Counters

Launched map tasks=2

Launched reduce tasks=1

Data-local map tasks=2

Total time spent by all maps in occupied slots (ms)=14668

Total time spent by all reduces in occupied slots (ms)=4352

Total time spent by all map tasks (ms)=14668

Total time spent by all reduce tasks (ms)=4352

Total vcore-seconds taken by all map tasks=14668

Total vcore-seconds taken by all reduce tasks=4352

Total megabyte-seconds taken by all map tasks=15020032

Total megabyte-seconds taken by all reduce tasks=4456448

Map-Reduce Framework

Map input records=5

Map output records=5

Map output bytes=45

Map output materialized bytes=67

Input split bytes=180

Combine input records=0

Combine output records=0

Reduce input groups=2

Reduce shuffle bytes=67

Reduce input records=5

Reduce output records=2

Spilled Records=10

Shuffled Maps =2

Failed Shuffles=0

Merged Map outputs=2

GC time elapsed (ms)=525

CPU time spent (ms)=2510

Physical memory (bytes) snapshot=641490944

Virtual memory (bytes) snapshot=6241415168

Total committed heap usage (bytes)=476053504

Shuffle Errors

BAD_ID=0

CONNECTION=0

IO_ERROR=0

WRONG_LENGTH=0

WRONG_MAP=0

WRONG_REDUCE=0

File Input Format Counters

Bytes Read=794

File Output Format Counters

Bytes Written=17

10）运行成功后执行命令查看，此时多出一个 /output 文件夹

[root@node02 hadoop-2.7.0]# hadoop fs -ls /

drwxr-xr-x - root supergroup 0 2021-01-02 01:13 /input

drwxr-xr-x - root supergroup 0 2021-01-02 01:37 /output

drwx------ - root supergroup 0 2021-01-02 01:37 /tmp

11）查看 /output文件夹的文件

[root@node02 hadoop-2.7.0]# hadoop fs -ls /output

-rw-r--r-- 1 root supergroup 0 2021-01-02 01:37 /output/_SUCCESS

-rw-r--r-- 1 root supergroup 17 2021-01-02 01:3AYHmTIrMeY7 /output/part-00000

12）查看part-r-00000 文件夹中的内容，我这个测试用例用来获取1949年和1950年的最高气温（华氏度）

[root@node02 hadoop-2.7.0]# hadoop fs -cat /output/part-00000

1949 111

1950 22

13）在浏览器端访问端口可以观看可视化界面，对应的是hadoop服务器地址和自己设置的端口，通过可视化界面查看input文件夹面刚刚上传的sample.txt文件

http://192.168.194.XXX:50070/

14）测试程序jar包和测试文件已上传到github上面，此目录有面经和我自己总结的面试题

GitHub

如有兴趣的同学也可以查阅我的秒杀系统

秒杀系统

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