服务器编译spark3.3.1源码支持CDH6.3.2

1、一定要注意编译环境的配置

mvn:3.6.3
scala:2.12.17
JDK:1.8
spark:3.3.1
服务器内存至少需要 8G 重点

2、下载连接

wget https://dlcdn.apache.org/maven/maven-3/3.6.3/binaries/apache-maven-3.6.3-bin.zip
wget https://downloads.lightbend.com/scala/2.12.17/scala-2.12.17.tgz
wget https://dlcdn.apache.org/spark/spark-3.3.1/spark-3.3.1.tgz

3、安装直接解压，到/opt/softwear/文件夹

4、配置环境变量

vim /etc/profile
添加：
export JAVA_HOME=/usr/java/jdk1.8.0_191
export JRE_HOME=${JAVA_HOME}/jre
export CLASSPATH=.:${JAVA_HOME}/lib:${JRE_HOME}/lib:$CLASSPATH
export JAVA_PATH=${JAVA_HOME}/bin:${JRE_HOME}/bin
export SCALA_HOME=/opt/softwear/scala-2.12.17
export MAVEN_HOME=/opt/softwear/apache-maven-3.6.3
export PATH=$PATH:${JAVA_PATH}:$SCALA_HOME/bin:$MAVEN_HOME/bin

5、更改相关配置文件

vim /opt/softwear/spark-3.3.1/pom.xml

一定注意下面的修改配置

    <repository>  
        <id>alimaven</id>  
        <name>aliyun maven</name>  
        <url>http://maven.aliyun.com/nexus/content/groups/public/</url>  
        <releases>  
            <enabled>true</enabled>  
        </releases>  
        <snapshots>  
            <enabled>false</enabled>  
        </snapshots>  
    </repository>
    <repository>
        <id>cloudera</id>
        <url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
    </repository>
    <repository>
      <id>gcs-maven-central-mirror</id>
      <!--
        Google Mirror of Maven Central, placed first so that it's used instead of flaky Maven Central.
        See https://storage-download.googleapis.com/maven-central/index.html
      -->
      <name>GCS Maven Central mirror</name>
      <url>https://maven-central.storage-download.googleapis.com/maven2/</url>
      <releases>
        <enabled>true</enabled>
      </releases>
      <snapshots>
        <enabled>false</enabled>
      </snapshots>
    </repository>
    
<hadoop.version>3.0.0-cdh6.3.2</hadoop.version>
<maven.version>3.6.3</maven.version>

            <compilerPlugins>
              <compilerPlugin>
                <groupId>com.github.ghik</groupId>
                <artifactId>silencer-plugin_2.12.17</artifactId>
                <version>1.7.12</version>
              </compilerPlugin>
            </compilerPlugins>

6、修改mvn地址

vi /opt/softwear/spark-3.3.1/dev/make-distribution.sh

MVN="/opt/softwear/apache-maven-3.6.3/bin/mvn"

7、更改 scala版本

/opt/softwear/spark-3.3.1/dev/change-scala-version.sh 2.12

8、执行脚本编译

/opt/softwear/spark-3.3.1/dev/make-distribution.sh --name 3.0.0-cdh6.3.2 --tgz  -Pyarn -Phadoop-3.0 -Phive -Phive-thriftserver -Dhadoop.version=3.0.0-cdh6.3.2 -Dscala.version=2.12.17

9、打包完在/opt/softwear/spark-3.3.1 有一个完整包

10、部署 Spark3 客户端

tar -zxvf spark-3.3.1-bin-3.0.0-cdh6.3.2.tgz -C /opt/cloudera/parcels/CDH/lib
cd /opt/cloudera/parcels/CDH/lib
mv spark-3.3.1-bin-3.0.0-cdh6.3.2/ spark3

11、将 CDH 集群的 spark-env.sh 复制到 /opt/cloudera/parcels/CDH/lib/spark3/conf 下

cp /etc/spark/conf/spark-env.sh  /opt/cloudera/parcels/CDH/lib/spark3/conf
chmod +x /opt/cloudera/parcels/CDH/lib/spark3/conf/spark-env.sh

#修改 spark-env.sh
vim /opt/cloudera/parcels/CDH/lib/spark3/conf/spark-env.sh

export SPARK_HOME=/opt/cloudera/parcels/CDH/lib/spark3

12、将 gateway 节点的 hive-site.xml 复制到 spark3/conf 目录下，不需要做变动:

cp /etc/hive/conf/hive-site.xml /opt/cloudera/parcels/CDH/lib/spark3/conf/

13、创建 spark-sql
vim /opt/cloudera/parcels/CDH/bin/spark-sql

#!/bin/bash 
export HADOOP_CONF_DIR=/etc/hadoop/conf
export YARN_CONF_DIR=/etc/hadoop/conf
SOURCE="${BASH_SOURCE[0]}"  
BIN_DIR="$( dirname "$SOURCE" )"  
while [ -h "$SOURCE" ]  
do  
 SOURCE="$(readlink "$SOURCE")"  
 [[ $SOURCE != /* ]] && SOURCE="$BIN_DIR/$SOURCE"  
 BIN_DIR="$( cd -P "$( dirname "$SOURCE" )" && pwd )"  
done  
BIN_DIR="$( cd -P "$( dirname "$SOURCE" )" && pwd )"  
LIB_DIR=$BIN_DIR/../lib  
export HADOOP_HOME=$LIB_DIR/hadoop  
  
# Autodetect JAVA_HOME if not defined  
. $LIB_DIR/bigtop-utils/bigtop-detect-javahome  
  
exec $LIB_DIR/spark3/bin/spark-submit --class org.apache.spark.sql.hive.thriftserver.SparkSQLCLIDriver "$@"

14、配置 spark-sql 快捷方式

chmod +x /opt/cloudera/parcels/CDH/bin/spark-sql
alternatives --install /usr/bin/spark-sql spark-sql /opt/cloudera/parcels/CDH/bin/spark-sql 1

15、配置 conf

cd /opt/cloudera/parcels/CDH/lib/spark3/conf
## 开启日志
mv log4j2.properties.template log4j2.properties
## spark-defaults.conf 配置
cp /opt/cloudera/parcels/CDH/lib/spark/conf/spark-defaults.conf ./

# 修改 spark-defaults.conf
vim /opt/cloudera/parcels/CDH/lib/spark3/conf/spark-defaults.conf
删除 spark.extraListeners、spark.sql.queryExecutionListeners、spark.yarn.jars
添加 spark.yarn.jars=hdfs:///spark/3versionJars/*

只需要一台服务器上传spark的jar包就行
hadoop fs -mkdir -p /spark/3versionJars
cd /opt/cloudera/parcels/CDH/lib/spark3/jars
hadoop fs -put *.jar /spark/3versionJars

有可能会缺少 htrace-core4-4.1.0-incubating.jar 这个包，请下载让后放入到
这个目录下面/opt/cloudera/parcels/CDH/lib/spark3/jars

16、创建 spark3-submit
vim /opt/cloudera/parcels/CDH/bin/spark3-submit

#!/usr/bin/env bash
export HADOOP_CONF_DIR=/etc/hadoop/conf
export YARN_CONF_DIR=/etc/hadoop/conf
SOURCE="${BASH_SOURCE[0]}"
BIN_DIR="$( dirname "$SOURCE" )"
while [ -h "$SOURCE" ]
do
 SOURCE="$(readlink "$SOURCE")"
 [[ $SOURCE != /* ]] && SOURCE="$BIN_DIR/$SOURCE"
 BIN_DIR="$( cd -P "$( dirname "$SOURCE" )" && pwd )"
done
BIN_DIR="$( cd -P "$( dirname "$SOURCE" )" && pwd )"
LIB_DIR=/opt/cloudera/parcels/CDH/lib
export HADOOP_HOME=$LIB_DIR/hadoop

# Autodetect JAVA_HOME if not defined
. $LIB_DIR/bigtop-utils/bigtop-detect-javahome

# disable randomized hash for string in Python 3.3+
export PYTHONHASHSEED=0

exec $LIB_DIR/spark3/bin/spark-class org.apache.spark.deploy.SparkSubmit "$@"

17、配置 spark3-submit 快捷方式

chmod +x /opt/cloudera/parcels/CDH/bin/spark3-submit
alternatives --install /usr/bin/spark3-submit spark3-submit /opt/cloudera/parcels/CDH/bin/spark3-submit 1

参考链接：
https://juejin.cn/post/7140053569431928845