得了,这集人设崩个干净。还不如上一集让夜王一波带走。

Ugh!

首先,JamieBrienne 这是唱哪出啊。明明是惺惺相惜 + 敬佩 + 小暧昧的美妙关系,非得“升华”到床上,搞成狗血八点档。Jamie 拔迪奥无情不说,走之前还要嘴炮一番,"不好意思瑟曦是个烂人,爱她胜过一切为她做尽烂事的我也一直是个烂人"。看着七季以来战力爆表的女骑士穿着睡袍对着渣男离去背影泣不成声的样子,我真的怀疑自己看的到底是不是权游,这离国产脑残言情剧就只差一句 "我配不上你"了。两张好牌一起打臭,真是棒。

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Review note for Resilient Distributed Datasets: A Fault-Tolerant Abstraction for In-Memory Cluster Computing

RDD paper
RDD paper

1 - Summary The paper proposed an abstraction for sharing data in cluster application, called Resilient Distributed Dataset (RDD), that is more efficient, general-purpose and fault-tolerant in comparison to existing data storage abstractions for clusters, allowing programmers to process in-memory computations. RDDs are implemented in a big data processing engine, called Spark, and evaluated by a range of user applications and benchmarks in the paper.

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Review note for MapReduce: simplified data processing on large clusters

MapReduce Paper
MapReduce Paper

1 - Summary A programming framework, MapReduce, is introduced to easily process large-scale computations on large clusters of commodity PCs. In a MapReduce model, users utilize a self-defined map function on mapping workers to process splits of input data, generating set of intermediate key/value pairs and use a reduce function on reducing workers to sort and merge the intermediate values with the same key. The paper also provides some programming model examples and typical implementations of MapReduce that process terabytes of data on thousands of machines. Some refinements of the model, the performance evaluation of the implementation, the use of MapReduce on indexing system within Google, and related and future work are also discussed in the paper.

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