1. 安裝centos8 jdk
2. 部署偽分布式spark環(huán)境

安裝Centos8 環(huán)境下的JDK

下載jdk linux版本

下載鏈接：
jdk-8u381-linux-x64.tar.gz

將該文件上傳到Centos8 主機(jī)

部署配置jdk（java8）

# 解壓到指定路徑
[lhang@tigerkeen Downloads]$ sudo tar -zxvf jdk-8u381-linux-x64.tar.gz -C /opt/soft_Installed/jdk/

# 配置個(gè)人用戶環(huán)境變量
[lhang@tigerkeen jdk1.8.0_381]$ cat ~/.bashrc
# .bashrc

# Source global definitions
if [ -f /etc/bashrc ]; then
        . /etc/bashrc
fi

# User specific environment
if ! [[ "$PATH" =~ "$HOME/.local/bin:$HOME/bin:" ]]
then
    PATH="$HOME/.local/bin:$HOME/bin:$PATH"
fi
export PATH

# Uncomment the following line if you don't like systemctl's auto-paging feature:
# export SYSTEMD_PAGER=

# User specific aliases and functions

# 配置Java 個(gè)人環(huán)境變量
JAVA_HOME=/opt/soft_Installed/jdk/jdk1.8.0_381

PATH=$PATH:$JAVA_HOME/bin

export PATH JAVE_HOME

# 刷新讓環(huán)境變量生效
[lhang@tigerkeen jdk1.8.0_381]$ source ~/.bashrc

# 檢查java是否部署成功
[lhang@tigerkeen jdk1.8.0_381]$ java -version
java version "1.8.0_381"
Java(TM) SE Runtime Environment (build 1.8.0_381-b09)
Java HotSpot(TM) 64-Bit Server VM (build 25.381-b09, mixed mode)

部署偽分布式Hadoop環(huán)境

[lhang@tigerkeen Downloads]$ sudo tar -zxvf hadoop-3.3.6.tar.gz -C /opt/soft_Installed/

[lhang@tigerkeen Downloads]$ sudo tar -zxvf scala-2.12.18.tgz -C /opt/soft_Installed/

cd soft_Installed/
sudo mkdir {hadoop,scala}

sudo mv hadoop-3.3.6/ hadoop
sudo mv scala-2.12.18/ scala

詳細(xì)的Hadoop偽分布式配置

這里不是重點(diǎn)，如果感興趣，請(qǐng)參照文后參考鏈接

部署偽分布式的Spark環(huán)境

1. 上傳spark到centos8
2. 解壓spark到指定目錄
3. 配置spark偽分布式環(huán)境

[lhang@tigerkeen Downloads]$ sudo tar -zxvf spark-3.4.1-bin-hadoop3.gz -C /opt/soft_Installed/

[lhang@tigerkeen soft_Installed]$ sudo mv spark-3.4.1-bin-hadoop3/ spark

[lhang@tigerkeen conf]$ cp spark-env.sh.template spark-env.sh
[lhang@tigerkeen conf]$ vim spark-env.sh
[lhang@tigerkeen conf]$ tail spark-env.sh
# - OPENBLAS_NUM_THREADS=1   Disable multi-threading of OpenBLAS

# Options for beeline
# - SPARK_BEELINE_OPTS, to set config properties only for the beeline cli (e.g. "-Dx=y")
# - SPARK_BEELINE_MEMORY, Memory for beeline (e.g. 1000M, 2G) (Default: 1G)

# 配置偽分布式Spark環(huán)境
export JAVA_HOME=/opt/soft_Installed/jdk/jdk1.8.0_381
export SPARK_MASTER_HOST=tigerkeen
export SPARK_MASTER_PORT=7077

[lhang@tigerkeen conf]$ cp workers.template workers
[lhang@tigerkeen conf]$ vim workers
[lhang@tigerkeen conf]$ tail workers
#
# 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.
#

# A Spark Worker will be started on each of the machines listed below.
tigerkeen
[lhang@tigerkeen conf]$ ls

[lhang@tigerkeen sbin]$ ./start-all.sh
starting org.apache.spark.deploy.master.Master, logging to /opt/soft_Installed/spark/spark-3.4.1-bin-hadoop3/logs/spark-lhang-org.apache.spark.deploy.master.Master-1-tigerkeen.out
tigerkeen: Warning: Permanently added 'tigerkeen,fe80::20c:29ff:fee0:bc8c%ens160' (ECDSA) to the list of known hosts.
lhang@tigerkeen's password:
tigerkeen: starting org.apache.spark.deploy.worker.Worker, logging to /opt/soft_Installed/spark/spark-3.4.1-bin-hadoop3/logs/spark-lhang-org.apache.spark.deploy.worker.Worker-1-tigerkeen.out
[lhang@tigerkeen sbin]$ jps
4040 Jps
3900 Master
4012 Worker

配置用戶環(huán)境變量

vim ~/.bashrc
# 配置Java 個(gè)人環(huán)境變量
JAVA_HOME=/opt/soft_Installed/jdk/jdk1.8.0_381
CLASSPATH=.:$CLASSPATH:$JAVA_HOME/lib:$JAVA_HOME/jre/lib
PATH=$PATH:$JAVA_HOME/bin:$JAVA_HOME/jre/bin
export PATH JAVA_HOME CLASSPATH

# 配置Scala用戶環(huán)境變量
SCALA_HOME=/opt/soft_Installed/scala/scala-2.12.18

# 配置HADOOP偽分布式環(huán)境
HADOOP_HOME=/opt/soft_Installed/hadoop/hadoop-3.3.6
HADOOP_CONF_DIR=/opt/soft_Installed/hadoop/hadoop-3.3.6/etc/hadoop
CLASSPATH=$($HADOOP_HOME/bin/hadoop classpath):$CLASSPATH
HADOOP_COMMON_LIB_NATIVE_DIR=$HADOOP_HOME/lib/native

# 配置偽分布式Spark環(huán)境
SPARK_HOME=/opt/soft_Installed/spark/spark-3.4.1-bin-hadoop3

PATH=$PATH:$SCALA_HOME/bin:$HADOOP_HOME/bin:$HADOOP_HOME/sbin:$SPARK_HOME/bin

export PATH HADOOP_HOME HADOOP_CONF_DIR HADOOP_COMMON_LIB_NATIVE_DIR SPARK_HOME CLASSPATH

配置Centos8 防火墻開(kāi)啟指定端口

開(kāi)啟centos8 的防火墻指定端口

sudo firewall-cmd --zone=public --add-port=1234/tcp --permanent
sudo firewall-cmd --reload
sudo firewall-cmd --list-port

sudo firewall-cmd --zone=public --add-port=8080/tcp --permanent
sudo firewall-cmd --zone=public --add-port=7077/tcp --permanent
sudo firewall-cmd --reload
sudo firewall-cmd --list-port

Spark Master at spark://tigerkeen:7077

Spark submit 提交pi計(jì)算測(cè)試

[lhang@tigerkeen bin]$ ./spark-submit --class org.apache.spark.examples.SparkPi --master local[*] /opt/soft_Installed/spark/spark-3.4.1-bin-hadoop3/examples/jars/spark-examples_2.12-3.4.1.jar

參考鏈接

https://blog.csdn.net/pblh123/article/details/126721139文章來(lái)源地址http://www.zghlxwxcb.cn/news/detail-685779.html

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