Spark权威指南(影印版)(英文版)

为了帮助读者学习如何使用、部署和维护 Apache Spark，该开源集群计算框架的部分创建者 编写了《Spark权威指南(影印版)(英文版)》这本综 合指南。作者比尔·钱伯斯和马太·扎哈里亚在强 调Spark 2．0的改进和新功能的同时，将Spark题 分为不同的部分，每个部分都有其独特的目标。 你将探索Spark的结构化API的基本操作和常见 功能以及StructuredStreaming，后者是用于构建 端到端流应用的一种全新的高层API。开发人员和系 统管理员会学Spark监控、调优、调试的基础知识， 探索机器学习技术以及Spark可扩展机器学习库 MLlib的部署场景。

Preface Part I. Gentle Overview of Big Data and Spark 1. What Is Apache Spark? Apache Spark's Philosophy Context: The Big Data Problem History of Spark The Present and Future of Spark Running Spark Downloading Spark Locally Launching Spark's Interactive Consoles Running Spark in the Cloud Data Used in This Book 2. A Gentle Introduction to Spark Spark's Basic Architecture Spark Applications Spark's Language APIs Spark's APIs Starting Spark The SparkSession DataFrames Partitions Transformations Lazy Evaluation Actions Spark UI An End-to-End Example DataFrames and SQL Conclusion 3. A Tour of Spark's Too1set Running Production Applications Datasets: Type-Safe Structured APIs Structured Streaming Machine Learning and Advanced Analytics Lower-Level APIs SparkR Spark's Ecosystem and Packages Conclusion Part II. Structured APls--DataFrames, SQL, and Datasets 4. Structured API Overview DataFrames and Datasets Schemas Overview of Structured Spark Types DataFrames Versus Datasets Columns Rows Spark Types Overview of Structured API Execution Logical Planning Physical Planning Execution