源码模拟试验说明：不考虑论文《HyperLogLog: the analysis of a near-optimal cardinality estimation algorithm》中的常数无偏估计修正因子，以尽量简单的方式模拟，而且从结果中可以看出分桶数据（数组）大小会影响HyperLogLog算法的精确度，也因此反过来可以理解常数无偏估计因子需要根据分桶数据（数组）大小适时调整。 12345 ...

Chapter 12. Resilient Distributed Datasets (RDDs)The previous part of the book covered Spark’s Structured APIs. You should heavily favor these APIs in almost all scenarios. That being said, there ar ...

Chapter 11 Datasets译者：https://snaildove.github.io Datasets are the foundational type of the Structured APIs. We already worked with DataFrames, which are Datasets of type Row, and are available acr ...

Chapter 14 Distributed Shared VariablesIn addition to the Resilient Distributed Dataset (RDD) interface, the second kind of low-level API in Spark is two types of “distributed shared variables”: bro ...

Chapter 13. Advanced RDDsChapter 12 explored the basics of single RDD manipulation. You learned how to create RDDs and why you might want to use them. In addition, we discussed map, filter, reduce, ...

Chapter 3. A Tour of Spark’s Toolset译者：https://snaildove.github.io In Chapter 2, we introduced Spark’s core concepts, like transformations and actions, in the context of Spark’s Structured APIs. Th ...