Spark源码编译

很遗憾，如果按照官网第3个步骤那个链接去wget的话，会下载失败

曲线救国

Spark源码编译

[[email protected] src]$ wget https://archive.apache.org/dist/spark/spark-2.3.3/spark-2.3.3.tgz

[[email protected] src]$ wget https://archive.apache.org/dist/spark/spark-2.4.2/spark-2.4.2.tgz

[[email protected] src]$ tar -zxf spark-2.3.3.tgz -C ~/app/

[[email protected] src]$ tar -zxf spark-2.4.2.tgz -C ~/app/

编译Saprk源码前置条件

Maven 3.3.9 or newer

Java 8+

Scala

# 设置Spark编译的内存使用
export MAVEN_OPTS="-Xmx2g -XX:ReservedCodeCacheSize=2048m"

在编译Spark的时候，Hadoop的版本可以跟Yarn的版本不一致

./build/mvn -Pyarn -Phadoop-2.7 -Dhadoop.version=2.7.3 -DskipTests clean package

-Dhadoop.version=2.7.3指定Hadoop的小版本

mvn -Pyarn -Phvie -Phive-thriftserver -Phadoop-2.6 -Dhadoop.version=2.6.0-cdh5.7.0 -DskipTests clean package

使用mvn安装这种方式是拿不到tar.gz这样的包

使用另外一种方式

./dev/make-distribution.sh --name 2.6.0-cdh5.7.0 --tgz -Dhadoop.version=2.6.0-cdh5.7.0 -Phadoop-2.6 -Phive -Phive-thriftserver -Pyarn

建议先把git安装一下

把Version那一部分注释掉

VERSION=2.3.3
SCALA_VERSION=2.11
SPARK_HADOOP_VERSION=2.6.0-cdh5.7.0
SPARK_HIVE=1

报错了，莫慌

[ERROR] Failed to execute goal on project spark-launcher_2.11: Could not resolve dependencies for project org.apache.spark:spark-launcher_2.11:jar:2.3.3: Could not find artifact org.apache.hadoop:hadoop-client:jar:2.6.0-cdh5.7.0 in nexus-aliyun (http://maven.aliyun.com/nexus/content/groups/public) -> [Help 1]

在pom.xml中添加cloudera repos

<repository>
<id>cloudera</id>
<name>cloudera Repository</name>
<url>https://repository.cloudera.com/artifactory/cloudera-repos/</url>
</repository>

mvn的项目构建是有源码跟资源文件

又报错了，莫慌

[error] Java HotSpot(TM) 64-Bit Server VM warning: INFO: os::commit_memory(0x00000000eec00000, 18350080, 0) failed; error='Cannot allocate memory' (errno=12)

解决方法

# 设置Spark编译的内存使用
export MAVEN_OPTS="-Xmx2g -XX:ReservedCodeCacheSize=2048m"

生产环境中，我们把Spark在本地编译好，然后传到服务器上面去，特别是Spark onYARN，解压开就好

Spark安装包目录结构说明

Spark examples的代码很重要，要看

jars这里1.0和2.0不一样，生产上有个最佳实践

yarn存放yarn相关的jar spark-2.2.0-yarn-shuffle.jar 动态资源调动会用到

编译成功！！！

[[email protected] spark-2.3.3]$ pwd
/home/hadoop/src/spark-2.3.3
[[email protected] spark-2.3.3]$ tar -zxf spark-2.3.3-bin-2.6.0-cdh5.7.0.tgz -C ~/app/

[[email protected] bin]$ ./spark-shell

Spark源码编译

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