November 2021
Intermediate to advanced
340 pages
10h 46m
Chinese
Content preview from Spark快速大数据分析（第2版）
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36
｜
第
2
章
20/01/11 16:00:48 INFO TaskSchedulerImpl: Killing all running tasks in stage 4:
Stage finished
20/01/11 16:00:48 INFO DAGScheduler: Job 4 finished: show at MnMcount.scala:49,
took 0.264579 s
+-----+------+-----+
|State| Color|Total|
+-----+------+-----+
| CA|Yellow| 1807|
| CA| Green| 1723|
| CA| Brown| 1718|
| CA|Orange| 1657|
| CA| Red| 1656|
| CA| Blue| 1603|
+-----+------+-----+
输出结果和
Python
版本的相同。试试看吧！
大功告成！我们的数据科学家作者将非常乐意使用这份数据来决定，在特定州授课时该在
曲奇饼干中使用哪种颜色的
M&M
豆。
2.7
小结
本章介绍了
Spark
入门的三步：首先下载整套框架，然后熟悉
Scala
或
PySpark
的交互式
shell
，最后掌握高层的
Spark
应用相关概念和术语
。本章概述了使用转化操作和行动操作
编写
Spark
应用的过程
，还简要介绍了如何使用
Spark UI
来查看创建的作业、执行阶段和
任务。
最后，通过一个简短的示例，我们展示了如何使用高层的结构化数据
API ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.