July 2020
Intermediate to advanced
262 pages
5h 34m
Chinese
Content preview from 大规模数据分析和建模：基于 Spark 与 R
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162
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第
9
章
使用配置文件的另一个好处是，系统管理员可以通过更改 R_CONFIG_ACTIVE 环境变
量的值来更改默认配置。若想获取更多信息，请参阅 GitHub 的 rstudio/config 仓库。
9.8
小结
本章介绍了 Spark 内部机制和具体设置的诸多内容，以帮助你加速计算，并启用高计算
负载。它可以为理解常见配置的瓶颈和指导提供基础。然而，调试 Spark 是一个广泛的
话题，需要更多的章节来详尽介绍。因此，在对 Spark 的性能和可扩展性进行故障排除、
搜索网络资源和咨询在线社区时，通常还需要对你的特定环境进行调试。
第 10 章会介绍 R 中提供的 Spark 扩展的生态系统。大多数扩展都是高度专业化的，但
是它们对于特定情况以及有特殊需求的读者来说都是非常有用的。例如，它们可以处理
嵌套数据、执行图分析、使用不同的建模库（如 H20 中的 rsparkling）。此外，接下
来的几章会介绍许多高级数据分析和建模话题。这些话题是掌握 R 语言大规模计算所必
需的。
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