搭建单机版伪分布式Hadoop+Scala+spark
搭建单机版伪分布式Hadoop+Scala+spark
修改ip
[root@master ~]# nmcli connection add ifname ens32 con-name ens32 autoconnect yes ipv4.method manual ipv4.gateway 192.168.130.2 ipv4.addresses 192.168.130.102/24 ipv4.dns 114.114.114.114
[root@master ~]# nmcli con up ens32
解压压缩包(jdk,hadoop)
[root@master ~]# mkdir /usr/local/soft
[root@master ~]# cd /opt/software/
[root@master software]# tar -xzf jdk-8u152-linux-x64.tar.gz -C /usr/local/soft/
[root@master software]# tar -zxf hadoop-2.7.1.tar.gz -C /usr/local/soft/
[root@master software]# cd /usr/local/soft/
[root@master soft]# ls
hadoop-2.7.1 jdk1.8.0_152
[root@master soft]# mv jdk1.8.0_152/ jdk
[root@master soft]# mv hadoop-2.7.1/ hadoop
[root@master soft]# ls
hadoop jdk
[root@master soft]#
配置环境变量
[root@master soft]# vim /etc/profile
[root@master soft]# tail -n 5 /etc/profile
## jdk
export JAVA_HOME=/usr/local/soft/jdk
export PATH=$PATH:$JAVA_HOME/bin
##
[root@master soft]#
卸载openjdk
[root@master soft]# rpm -e --nodeps $(rpm -qa | grep java)
[root@master soft]# rpm -qa | grep java
[root@master soft]#
使用环境变量
[root@master jdk]# java -version
java version "1.8.0_152"
Java(TM) SE Runtime Environment (build 1.8.0_152-b16)
Java HotSpot(TM) 64-Bit Server VM (build 25.152-b16, mixed mode)
[root@master jdk]#
免密登录
- 域名解析
127.0.0.1 localhost localhost.localdomain localhost4 localhost4.localdomain4
::1 localhost localhost.localdomain localhost6 localhost6.localdomain6
192.168.130.102 master
[root@master .ssh]#
- 生成密钥
[root@master .ssh]# ssh-keygen
Generating public/private rsa key pair.
Enter file in which to save the key (/root/.ssh/id_rsa):
Enter passphrase (empty for no passphrase):
Enter same passphrase again:
Your identification has been saved in /root/.ssh/id_rsa.
Your public key has been saved in /root/.ssh/id_rsa.pub.
The key fingerprint is:
SHA256:ob7g1XYA0M89LvIhIXGBv/HEap96x7+yzx5kr+IdGCE root@master
The key's randomart image is:
+---[RSA 2048]----+
| .o.. |
| o.o |
| +.+E.. |
| . +o=oo. |
| ..BS...o |
| .*.+..= . |
| ..o=o=o o . |
| . o o=.=o + |
| . oo ooBO. |
+----[SHA256]-----+
[root@master .ssh]# ssh-copy-id root@localhost
/usr/bin/ssh-copy-id: INFO: Source of key(s) to be installed: "/root/.ssh/id_rsa.pub"
The authenticity of host 'localhost (::1)' can't be established.
ECDSA key fingerprint is SHA256:j0Qc7uQw74uzDmvW6zpHdOJguFFJ7sKVfXyLjFoUoZM.
ECDSA key fingerprint is MD5:2d:9d:c6:f1:88:9d:d2:22:b0:e2:51:ef:d3:fb:6b:4f.
Are you sure you want to continue connecting (yes/no)? yes
/usr/bin/ssh-copy-id: INFO: attempting to log in with the new key(s), to filter out any that are already installed
/usr/bin/ssh-copy-id: INFO: 1 key(s) remain to be installed -- if you are prompted now it is to install the new keys
root@localhost's password:
Number of key(s) added: 1
Now try logging into the machine, with: "ssh 'root@localhost'"
and check to make sure that only the key(s) you wanted were added
修改配置文件
- core-site.xml
[root@master ~]# cd /usr/local/soft/
[root@master soft]# ls
hadoop jdk
[root@master soft]# cd hadoop/
[root@master hadoop]# ls
bin etc include lib libexec LICENSE.txt NOTICE.txt README.txt sbin share
[root@master hadoop]# cd etc/hadoop/
[root@master hadoop]# vim core-site.xml
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. See accompanying LICENSE file.
-->
<!-- Put site-specific property overrides in this file. -->
<configuration>
<property>
<name>fs.default.name</name>
<value>hdfs://master:9000</value>
</property>
<property>
<name>hadoop.tmp.dir</name>
<value>/usr/local/soft/hadoop/tmp</value>
</property>
</configuration>
- hadoop.env
[root@master hadoop]# vim hadoop-env.sh
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# Set Hadoop-specific environment variables here.
# The only required environment variable is JAVA_HOME. All others are
# optional. When running a distributed configuration it is best to
# set JAVA_HOME in this file, so that it is correctly defined on
# remote nodes.
# The java implementation to use.
export JAVA_HOME=//usr/local/soft/jdk
- hdfs-site.xm
[root@master hadoop]# vim hdfs-site.xml
<?xml version="1.0" encoding="UTF-8"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. See accompanying LICENSE file.
-->
<!-- Put site-specific property overrides in this file. -->
<configuration>
<property>
<name>dfs.replication</name>
<value>1</value>
</property>
</configuration>
- mapred-site.xml
[root@master hadoop]# cp mapred-site.xml.template mapred-site.xml
[root@master hadoop]# vim mapred-site.xml
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="configuration.xsl"?>
<!--
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. See accompanying LICENSE file.
-->
<!-- Put site-specific property overrides in this file. -->
<configuration>
<property>
<name>mapreduce.framework.name</name>
<value>yarn</value>
</property>
</configuration>
- yarn-site.xml
[root@localhost hadoop-3.1.3]# vim yarn-site.xml
#添加以下部分
<property>
<name>yarn.resourcemanager.hostname</name>
<value>hadoop01</value>
</property>
<property>
<name>yarn.nodemanager.aux-services</name>
<value>mapreduce_shuffle</value>
</property>
- 修改环境变量
[root@master hadoop]# vim /etc/profile
[root@master hadoop]# tail -n 5 /etc/profile
## hadoop
export HADOOP_HOME=/usr/local/soft/hadoop
export PATH=$PATH:$JAVA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin
[root@master hadoop]#
- 生成环境变量
[root@master hadoop]# source /etc/profile
[root@master hadoop]# hadoop
Usage: hadoop [--config confdir] [COMMAND | CLASSNAME]
CLASSNAME run the class named CLASSNAME
or
where COMMAND is one of:
fs run a generic filesystem user client
version print the version
jar <jar> run a jar file
note: please use "yarn jar" to launch
YARN applications, not this command.
checknative [-a|-h] check native hadoop and compression libraries availability
distcp <srcurl> <desturl> copy file or directories recursively
archive -archiveName NAME -p <parent path> <src>* <dest> create a hadoop archive
classpath prints the class path needed to get the
credential interact with credential providers
Hadoop jar and the required libraries
daemonlog get/set the log level for each daemon
trace view and modify Hadoop tracing settings
Most commands print help when invoked w/o parameters.
[root@master hadoop]#
格式化namenode
[root@master hadoop]# hadoop namenode -format
*******
xid >= 0
24/04/26 10:08:07 INFO util.ExitUtil: Exiting with status 0
24/04/26 10:08:07 INFO namenode.NameNode: SHUTDOWN_MSG:
/************************************************************
SHUTDOWN_MSG: Shutting down NameNode at master/192.168.130.102
************************************************************/
x修改启动停止配置文件
- 启动
[root@master hadoop]# cd bin/
[root@master bin]# ls
container-executor hadoop.cmd hdfs.cmd mapred.cmd test-container-executor yarn.cmd
hadoop hdfs mapred rcc yarn
[root@master bin]# cd ../sbin/
[root@master sbin]# ls
distribute-exclude.sh mr-jobhistory-daemon.sh start-dfs.sh stop-dfs.cmd
hadoop-daemon.sh refresh-namenodes.sh start-secure-dns.sh stop-dfs.sh
hadoop-daemons.sh slaves.sh start-yarn.cmd stop-secure-dns.sh
hdfs-config.cmd start-all.cmd start-yarn.sh stop-yarn.cmd
hdfs-config.sh start-all.sh stop-all.cmd stop-yarn.sh
httpfs.sh start-balancer.sh stop-all.sh yarn-daemon.sh
kms.sh start-dfs.cmd stop-balancer.sh yarn-daemons.sh
[root@master sbin]# vim start-dfs.sh
HDFS_DATANODE_USER=root
HDFS_DATANODE_SECURE_USER=hdfs
HDFS_NAMENODE_USER=root
HDFS_SECONDARYNAMENODE_USER=root
- 停止
[root@master sbin]# vim stop-dfs.sh
HDFS_DATANODE_USER=root
HDFS_DATANODE_SECURE_USER=hdfs
HDFS_NAMENODE_USER=root
HDFS_SECONDARYNAMENODE_USER=root
配置yarn的启动和停止的配置文件
- 开启
[root@master sbin]# vim yarn-daemon.sh
YARN_RESOURCEMANAGER_USER=root
HDFS_DATANODE_SECURE_USER=hdfs
YARN_NODEMANAGER_USER=root
- 停止
[root@master sbin]# vim stop-yarn.sh
YARN_RESOURCEMANAGER_USER=root
HDFS_DATANODE_SECURE_USER=hdfs
YARN_NODEMANAGER_USER=root
开启
[root@master sbin]# jps
4545 Jps
[root@master sbin]# start-dfs.sh
Starting namenodes on [master]
master: starting namenode, logging to /usr/local/soft/hadoop/logs/hadoop-root-namenode-master.out
localhost: starting datanode, logging to /usr/local/soft/hadoop/logs/hadoop-root-datanode-master.out
Starting secondary namenodes [0.0.0.0]
The authenticity of host '0.0.0.0 (0.0.0.0)' can't be established.
ECDSA key fingerprint is SHA256:j0Qc7uQw74uzDmvW6zpHdOJguFFJ7sKVfXyLjFoUoZM.
ECDSA key fingerprint is MD5:2d:9d:c6:f1:88:9d:d2:22:b0:e2:51:ef:d3:fb:6b:4f.
Are you sure you want to continue connecting (yes/no)? yes
0.0.0.0: Warning: Permanently added '0.0.0.0' (ECDSA) to the list of known hosts.
0.0.0.0: starting secondarynamenode, logging to /usr/local/soft/hadoop/logs/hadoop-root-secondarynamenode-master.out
[root@master sbin]# start-yarn.sh
starting yarn daemons
starting resourcemanager, logging to /usr/local/soft/hadoop/logs/yarn-root-resourcemanager-master.out
localhost: starting nodemanager, logging to /usr/local/soft/hadoop/logs/yarn-root-nodemanager-master.out
[root@master sbin]# jps
5168 SecondaryNameNode
4659 NameNode
5491 Jps
5413 NodeManager
4748 DataNode
[root@master sbin]#
spark和scala
- scala
- 先将安装包传入/opt/software

- 压缩
[root@master software]# tar -xzf spark-3.2.1-bin-hadoop2.7.tgz -C /usr/local/soft/
[root@master software]# tar -xzf scala-2.11.8.tgz -C /usr/local/soft/
[root@master software]#
- 重命名
[root@master soft]# mv scala-2.11.8/ scala
[root@master soft]# mv spark-3.2.1-bin-hadoop2.7/ spark
[root@master soft]# ls
hadoop jdk scala spark
[root@master soft]#
- 配置环境变量
[root@master scala]# vim /etc/profile
[root@master scala]# tail -n 3 /etc/profile
export SCALA_HOME=/usr/local/soft/scala
export PATH=$PATH:${SCALA_HOME}/bin
[root@master scala]#
spark
- 修改环境变量
[root@master spark]# tail -n 3 /etc/profile
export PATH=$PATH:${SPARK_HOME}/bin
export PATH=$PATH:${SPARK_HOME}/sbin
[root@master spark]# source /etc/profile
- spark-env.sh
[root@master conf]# vim spark-env.sh
[root@master conf]# tail -n 8 spark-env.sh
export JAVA_HOME=/usr/local/soft/jdk
export SPARK_MASTER_IP=master
export SPARK_WOKER_CORES=2
export SPARK_WOKER_MEMORY=2g
export HADOOP_CONF_DIR=/usr/local/src/hadoop/etc/hadoop
#export SPARK_MASTER_WEBUI_PORT=8080
#export SPARK_MASTER_PORT=7070
[root@master conf]#
- 修改配置文件
[root@master conf]# vim slaves
[root@master conf]# cat slaves
master
[root@master conf]#
- 启动
[root@master sbin]# ./start-all.sh
starting org.apache.spark.deploy.master.Master, logging to /usr/local/soft/spark/logs/spark-root-org.apache.spark.deploy.master.Master-1-master.out
master: starting org.apache.spark.deploy.worker.Worker, logging to /usr/local/soft/spark/logs/spark-root-org.apache.spark.deploy.worker.Worker-1-master.out
[root@master sbin]#
评分标准
1.可以访问Hadoop50070

2.可以访问spark8080

3.spark-shell进入交互式界面

4.Scala

5.提交csdn文档注意提交时间为今天十二点前
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