1. 主机规划
主机名称 | IP地址 | 操作系统 | 部署软件 | 运行进程 | 备注 |
|---|---|---|---|---|---|
mini01 | 172.16.1.11【内网】 10.0.0.11 【外网】 | CentOS 7.5 | Jdk-8、zookeeper-3.4.5、Hadoop2.7.6、hbase-2.0.2、kafka_2.11-2.0.0、spark-2.4.0-hadoop2.7【主】 | QuorumPeerMain、 | |
mini02 | 172.16.1.12【内网】 10.0.0.12 【外网】 | CentOS 7.5 | Jdk-8、zookeeper-3.4.5、Hadoop2.7.6、hbase-2.0.2、kafka_2.11-2.0.0 | QuorumPeerMain、 | |
mini03 | 172.16.1.13【内网】 10.0.0.13 【外网】 | CentOS 7.5 | Jdk-8、zookeeper-3.4.5、Hadoop2.7.6、hbase-2.0.2、kafka_2.11-2.0.0、spark-2.4.0-hadoop2.7 | QuorumPeerMain、 | |
mini04 | 172.16.1.14【内网】 10.0.0.14 【外网】 | CentOS 7.5 | Jdk-8、zookeeper-3.4.5、Hadoop2.7.6、hbase-2.0.2、spark-2.4.0-hadoop2.7 | QuorumPeerMain、 | |
mini05 | 172.16.1.15【内网】 10.0.0.15 【外网】 | CentOS 7.5 | Jdk-8、zookeeper-3.4.5、Hadoop2.7.6、hbase-2.0.2、spark-2.4.0-hadoop2.7 | QuorumPeerMain、 | |
说明
代码语言：txt复制 该Spark集群安装，但是有一个很大的问题，那就是Master节点存在单点故障，要解决此问题，就要借助zookeeper，并且启动至少两个Master节点来实现高可靠。具体部署下节讲解。2. 免密码登录
实现mini01到mini02、mini03、mini04、mini05通过秘钥免密码登录。
参见文章：Hadoop2.7.6_01_部署
3. Jdk【java8】
参见文章：Hadoop2.7.6_01_部署
4. Spark部署步骤
4.1. Spark安装
代码语言：javascript复制 1 [yun@mini01 software]$ pwd
2 /app/software
3 [yun@mini01 software]$ ll
4 total 238572
5 -rw-r--r-- 1 yun yun 227893062 Nov 19 21:24 spark-2.4.0-bin-hadoop2.7.tgz
6 [yun@mini01 software]$ tar xf spark-2.4.0-bin-hadoop2.7.tgz
7 [yun@mini01 software]$ mv spark-2.4.0-bin-hadoop2.7 /app/
8 [yun@mini01 software]$ cd /app/
9 [yun@mini01 ~]$ ln -s spark-2.4.0-bin-hadoop2.7/ spark
10 [yun@mini01 ~]$ ll -d spark-*
11 drwxr-xr-x 13 yun yun 211 Oct 29 14:36 spark-2.4.0-bin-hadoop2.7
12 lrwxrwxrwx 1 yun yun 26 Nov 24 14:23 spark -> spark-2.4.0-bin-hadoop2.7/4.2. 环境变量修改
根据规划，该环境变量的修改包括mini01、mini03、mini04、mini05。
代码语言：javascript复制1 # 需要root权限去添加环境变量
2 [root@mini01 ~]# tail /etc/profile
3 ………………
4 # spark环境变量
5 export SPARK_HOME="/app/spark"
6 export PATH=$SPARK_HOME/bin:$SPARK_HOME/sbin:$PATH
7
8 [root@mini01 ~]# logout
9 [yun@mini01 conf]$ source /etc/profile # 重新加载该环境变量4.3. 配置修改
代码语言：javascript复制 1 [yun@mini01 conf]$ pwd
2 /app/spark/conf
3 [yun@mini01 conf]$ cp -a spark-env.sh.template spark-env.sh
4 [yun@mini01 conf]$ tail spark-env.sh # 修改环境变量配置
5 # Options for native BLAS, like Intel MKL, OpenBLAS, and so on.
6 # You might get better performance to enable these options if using native BLAS (see SPARK-21305).
7 # - MKL_NUM_THREADS=1 Disable multi-threading of Intel MKL
8 # - OPENBLAS_NUM_THREADS=1 Disable multi-threading of OpenBLAS
9
10 # 添加配置如下
11 # 配置JAVA_HOME
12 export JAVA_HOME=/app/jdk
13 # 设置Master的主机名
14 export SPARK_MASTER_IP=mini01
15 # 每一个Worker最多可以使用的内存，我的虚拟机就2g
16 # 真实服务器如果有128G，你可以设置为100G
17 # 所以这里设置为1024m或1g
18 export SPARK_WORKER_MEMORY=1024m
19 # 每一个Worker最多可以使用的cpu core的个数，我虚拟机就一个...
20 # 真实服务器如果有32个，你可以设置为32个
21 export SPARK_WORKER_CORES=1
22 # 提交Application的端口，默认就是这个，万一要改呢，改这里
23 export SPARK_MASTER_PORT=7077
24
25 [yun@mini01 conf]$ pwd
26 /app/spark/conf
27 [yun@mini01 conf]$ cp -a slaves.template slaves
28 [yun@mini01 conf]$ tail slaves # 修改slaves 配置
29 # distributed under the License is distributed on an "AS IS" BASIS,
30 # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
31 # See the License for the specific language governing permissions and
32 # limitations under the License.
33 #
34
35 # A Spark Worker will be started on each of the machines listed below.
36 mini03
37 mini04
38 mini054.4. 分发到其他机器
分发到mini03、mini04和mini05
代码语言：javascript复制1 [yun@mini01 ~]$ scp -pr spark-2.4.0-bin-hadoop2.7/ yun@mini03:/app # 拷贝到mini03
2 [yun@mini01 ~]$ scp -pr spark-2.4.0-bin-hadoop2.7/ yun@mini04:/app # 拷贝到mini04
3 [yun@mini01 ~]$ scp -pr spark-2.4.0-bin-hadoop2.7/ yun@mini05:/app # 拷贝到mini05在mini03、mini04和mini05上操作
代码语言：javascript复制1 [yun@mini04 ~]$ pwd
2 /app
3 [yun@mini04 ~]$ ll -d spark-2.4.0-bin-hadoop2.7
4 drwxr-xr-x 13 yun yun 211 Oct 29 14:36 spark-2.4.0-bin-hadoop2.7
5 [yun@mini04 ~]$ ln -s spark-2.4.0-bin-hadoop2.7/ spark
6 [yun@mini04 ~]$ ll -d spark-*
7 drwxr-xr-x 13 yun yun 211 Oct 29 14:36 spark-2.4.0-bin-hadoop2.7
8 lrwxrwxrwx 1 yun yun 26 Nov 24 23:39 spark -> spark-2.4.0-bin-hadoop2.7/4.5. 启动spark
在mini01上操作
代码语言：javascript复制 1 [yun@mini01 sbin]$ pwd
2 /app/spark/sbin
3 [yun@mini01 sbin]$ ./start-all.sh # 关闭使用 stop-all.sh 脚本
4 starting org.apache.spark.deploy.master.Master, logging to /app/spark/logs/spark-yun-org.apache.spark.deploy.master.Master-1-mini01.out
5 mini03: starting org.apache.spark.deploy.worker.Worker, logging to /app/spark/logs/spark-yun-org.apache.spark.deploy.worker.Worker-1-mini03.out
6 mini05: starting org.apache.spark.deploy.worker.Worker, logging to /app/spark/logs/spark-yun-org.apache.spark.deploy.worker.Worker-1-mini05.out
7 mini04: starting org.apache.spark.deploy.worker.Worker, logging to /app/spark/logs/spark-yun-org.apache.spark.deploy.worker.Worker-1-mini04.out
8 [yun@mini01 ~]$
9 [yun@mini01 ~]$ jps # 查看进程状态
10 3103 Master
11 3183 Jpsmini03进程查看
代码语言：javascript复制1 [yun@mini03 ~]$ jps
2 2387 Worker
3 2437 Jpsmini04进程查看
代码语言：javascript复制1 [yun@mini04 ~]$ jps
2 2183 Jps
3 2125 Workermini05进程查看
代码语言：javascript复制1 [yun@mini05 ~]$ jps
2 2212 Worker
3 2261 Jps4.6. 浏览器访问
代码语言：javascript复制1 http://mini01:8080/ 
