Spark3.0.1 结合CDH6.1.0 编译打包

0.下载spark代码

git clone https://github.com/apache/spark.git cd spark git checkout -b v3.0.1_cdh6.1.0 v3.0.1 # 新开一个分支

1.添加Cloudera maven镜像 及 Hadoop3.0 profile

在spark的pom文件中添加 CDH的maven镜像[1]，并添加 Hadoop 3.0 的profile

cloudera     https://repository.cloudera.com/artifactory/cloudera-repos/     Cloudera Repositories            true              cloudera     Cloudera Repositories     https://repository.cloudera.com/artifactory/cloudera-repos/         hadoop-3.0            3.0.0-cdh6.1.0

具体添加配置的位置可参考这个commit

https://github.com/yangrong688/spark/commit/13c322ee32daaae7d4505fa676396be5254ecddf

2.使用命令进行编译打包[2]

编译打包过程中需要下载很多jar包，可以配置一下梯子，加速下载jar包。

cd spark ./dev/make-distribution.sh --name hadoop-3.0.0-cdh6.1.0  --tgz  -Phadoop-3.0 -Pyarn -Phive-thriftserver -DskipTests     # 完成后的输出结果 [INFO] ------------------------------------------------------------------------ [INFO] Reactor Summary for Spark Project Parent POM 3.0.1: [INFO] [INFO] Spark Project Parent POM ........................... SUCCESS [  8.397 s] [INFO] Spark Project Tags ................................. SUCCESS [ 18.853 s] [INFO] Spark Project Sketch ............................... SUCCESS [ 16.176 s] [INFO] Spark Project Local DB ............................. SUCCESS [  3.727 s] [INFO] Spark Project Networking ........................... SUCCESS [  8.747 s] [INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [  2.958 s] [INFO] Spark Project Unsafe ............................... SUCCESS [ 19.984 s] [INFO] Spark Project Launcher ............................. SUCCESS [  4.830 s] [INFO] Spark Project Core ................................. SUCCESS [05:56 min] [INFO] Spark Project ML Local Library ..................... SUCCESS [01:16 min] [INFO] Spark Project GraphX ............................... SUCCESS [01:45 min] [INFO] Spark Project Streaming ............................ SUCCESS [03:06 min] [INFO] Spark Project Catalyst ............................. SUCCESS [07:11 min] [INFO] Spark Project SQL .................................. SUCCESS [10:29 min] [INFO] Spark Project ML Library ........................... SUCCESS [07:36 min] [INFO] Spark Project Tools ................................ SUCCESS [ 18.832 s] [INFO] Spark Project Hive ................................. SUCCESS [04:56 min] [INFO] Spark Project REPL ................................. SUCCESS [01:14 min] [INFO] Spark Project YARN Shuffle Service ................. SUCCESS [ 18.784 s] [INFO] Spark Project YARN ................................. SUCCESS [02:46 min] [INFO] Spark Project Hive Thrift Server ................... SUCCESS [02:40 min] [INFO] Spark Project Assembly ............................. SUCCESS [  8.246 s] [INFO] Kafka 0.10+ Token Provider for Streaming ........... SUCCESS [01:19 min] [INFO] Spark Integration for Kafka 0.10 ................... SUCCESS [01:51 min] [INFO] Kafka 0.10+ Source for Structured Streaming ........ SUCCESS [03:03 min] [INFO] Spark Project Examples ............................. SUCCESS [02:20 min] [INFO] Spark Integration for Kafka 0.10 Assembly .......... SUCCESS [ 11.549 s] [INFO] Spark Avro ......................................... SUCCESS [02:39 min] [INFO] ------------------------------------------------------------------------ [INFO] BUILD SUCCESS [INFO] ------------------------------------------------------------------------ [INFO] Total time:  01:02 h [INFO] Finished at: 2020-09-28T17:11:13+08:00 [INFO] ------------------------------------------------------------------------

参考文章

[1]Using the CDH 6 Maven Repository

https://docs.cloudera.com/documentation/enterprise/6/release-notes/topics/rg_cdh_6_maven_repo.html

[2] Building Spark

https://spark.apache.org/docs/latest/building-spark.html