Spark 1.1.0已经在前几天发布了（《Spark 1.1.0发布:各个模块得到全面升级》、《Spark 1.1.0正式发布》），本博客对Hive部分进行了部分说明：《Spark SQL 1.1.0和Hive的兼容说明》、《Shark迁移到Spark 1.1.0 编程指南》，在这个版本对Hive的支持更加完善了，如果想在Spark SQL中加入Hive，并加入JDBC server和CLI，我们可以在编译的时候通过加上参数将hive方面的特性打包到Spark源码中。可以用下面的命令进行编译。

如果想及时了解Spark、Hadoop或者Hbase相关的文章，欢迎关注微信公共帐号：iteblog_hadoop

# Apache Hadoop 2.4.X with Hive support
mvn -Pyarn -Phadoop-2.4 -Dhadoop.version=2.4.0 -Phive -DskipTests clean package

　　如果你用的是sbt，你也可以直接加上-Phive参数。Spark 1.1.0默认的是依赖Hive 0.12.0。关于详细的Spark Maven编译命令可以参照本博客《用Maven编译Spark 1.0.0源码以错误解决》。
　　当然，在下载下来的Spark源码中的同一级目录下有个make-distribution.sh脚本，这个脚本可以打包Spark的发行包，make-distribution.sh文件其实就是调用了Maven进行编译的，可以通过下面的命令运行：

./make-distribution.sh --tgz -Phadoop-2.2 -Pyarn -DskipTests -Dhadoop.version=2.2.0 -Phive

　　编译的过程中可能需要很长的时间，需要慢慢的等待，如果你看到下面的输出信息，那恭喜你，编译成功了！

[WARNING] See http://docs.codehaus.org/display/MAVENUSER/Shade+Plugin
[INFO] ------------------------------------------------------------------------
[INFO] Reactor Summary:
[INFO] 
[INFO] Spark Project Parent POM .......................... SUCCESS [3:12.329s]
[INFO] Spark Project Core ................................ SUCCESS [4:49.088s]
[INFO] Spark Project Bagel ............................... SUCCESS [19.565s]
[INFO] Spark Project GraphX .............................. SUCCESS [1:20.401s]
[INFO] Spark Project Streaming ........................... SUCCESS [1:09.413s]
[INFO] Spark Project ML Library .......................... SUCCESS [1:48.712s]
[INFO] Spark Project Tools ............................... SUCCESS [14.620s]
[INFO] Spark Project Catalyst ............................ SUCCESS [1:14.372s]
[INFO] Spark Project SQL ................................. SUCCESS [1:23.813s]
[INFO] Spark Project Hive ................................ SUCCESS [2:06.349s]
[INFO] Spark Project REPL ................................ SUCCESS [36.802s]
[INFO] Spark Project YARN Parent POM ..................... SUCCESS [5.664s]
[INFO] Spark Project YARN Stable API ..................... SUCCESS [34.322s]
[INFO] Spark Project Assembly ............................ SUCCESS [42.193s]
[INFO] Spark Project External Twitter .................... SUCCESS [22.767s]
[INFO] Spark Project External Kafka ...................... SUCCESS [30.759s]
[INFO] Spark Project External Flume Sink ................. SUCCESS [40.095s]
[INFO] Spark Project External Flume ...................... SUCCESS [25.221s]
[INFO] Spark Project External ZeroMQ ..................... SUCCESS [25.414s]
[INFO] Spark Project External MQTT ....................... SUCCESS [32.147s]
[INFO] Spark Project Examples ............................ SUCCESS [1:24.143s]
[INFO] ------------------------------------------------------------------------
[INFO] BUILD SUCCESS
[INFO] ------------------------------------------------------------------------
[INFO] Total time: 23:58.722s
[INFO] Finished at: Wed Sep 17 15:17:04 CST 2014
[INFO] Final Memory: 107M/1316M
[INFO] ------------------------------------------------------------------------