[PySpark] RDD programming on a large file

【[PySpark] RDD programming on a large file】的更多相关文章

[PySpark] RDD programming on a large file

重难点一.parallelize 方法一般来说,Spark会尝试根据集群的状况,来自动设定slices的数目.然而,你也可以通过传递给parallelize的第二个参数来进行手动设置. data_reduce = sc.parallelize([1, 2, .5, .1, 5, .2], 1) works = data_reduce.reduce(lambda x, y: x / y) 10.0 data_reduce = sc.parallelize([1, 2, .5, .1, 5, .…

[PySpark] Spark SQL on a large file

基础篇:[Spark] 03 - Spark SQL /* implement */…

Spark核心类：弹性分布式数据集RDD及其转换和操作pyspark.RDD

http://blog.csdn.net/pipisorry/article/details/53257188 弹性分布式数据集RDD(Resilient Distributed Dataset) 术语定义 l弹性分布式数据集(RDD): Resillient Distributed Dataset,Spark的基本计算单元,可以通过一系列算子进行操作(主要有Transformation和Action操作): l有向无环图(DAG):Directed Acycle graph,反应RDD之间的依…

Github Upload Large File 上传超大文件

Github中单个文件的大小限制是100MB,为了能突破这个限制,我们需要使用Git Large File Storage这个工具,参见这个官方帖子,但是按照其给的步骤,博主未能成功上传超大文件,那么这里就给出自己成功的步骤吧: git lfs install git lfs track "*.exe" git add .gitattributes git commit -m "Updated the attributes" git push origin mast…

Read a large file with python

python读取大文件较pythonic的方法,使用with结构文件可以自动关闭异常可以在with块内处理 with open(filename, 'rb') as f: for line in f: <do someting with the line> 最大的优点:对可迭代对象 f,进行迭代遍历:for line in f,会自动地使用缓冲IO(buffered IO)以及内存管理,而不必担心任何大文件的问题. There should be one – and preferably…

Java – Reading a Large File Efficiently--转

原文地址:http://www.baeldung.com/java-read-lines-large-file 1. Overview This tutorial will show how to read all the lines from a large file in Java in an efficient manner. This article is part of the “Java – Back to Basic” tutorial here on Baeldung. 2. R…