pyspark 记录

- **RDD（弹性分布式数据集）**: PySpark的核心数据结构，是不可变、分区的记录集合，可以在集群中并行操作。 - **DataFrame**: 基于Spark SQL，提供了更高级别的抽象，类似于SQL表，支持多种数据类型和关系操作。 -...

项目使用的数据集是`sparkify_event_data.json`的一个子集——`mini_sparkify_event_data.json`，包含了用户操作的日志记录，时间戳信息用于追踪用户行为。为了评估模型，选择了F1分数，它能平衡精确性和召回率，...

最近在使用spark的过程中，发现自己对spark的包了解的不够，网上查也是这一点那一点的，所以自己整理的一张脑图，然后做了些实验，记录下来，上传到CSDN上需要的自取

About This Book, Learn why and how you can efficiently use Python to process data and build machine learning models in Apache Spark 2.0Develop and deploy efficient, scalable real-time Spark solutionsTake your understanding of using Spark with Python to the next level with this jump start guide, Who This Book Is For, If you are a Python developer who wants to learn about the Apache Spark 2.0 ecosystem, this book is for you. A firm understanding of Python is expected to get the best out of the book. Familiarity with Spark would be useful, but is not mandatory., What You Will Learn, Learn about Apache Spark and the Spark 2.0 architectureBuild and interact with Spark DataFrames using Spark SQLLearn how to solve graph and deep learning problems using GraphFrames and TensorFrames respectivelyRead, transform, and understand data and use it to train machine learning modelsBuild machine learning models with MLlib and MLLearn how to submit your applications programmatically using spark-submitDeploy locally built applications to a cluster, In Detail, Apache Spark is an open source framework for efficient cluster computing with a strong interface for data parallelism and fault tolerance. This book will show you how to leverage the power of Python and put it to use in the Spark ecosystem. You will start by getting a firm understanding of the Spark 2.0 architecture and how to set up a Python environment for Spark., You will get familiar with the modules available in PySpark. You will learn how to abstract data with RDDs and DataFrames and understand the streaming capabilities of PySpark. Also, you will get a thorough overview of machine learning capabilities of PySpark using ML and MLlib, graph processing using GraphFrames, and polyglot persistence using Blaze. Finally, you will learn how to deploy your applications to the cloud using the spark-submit command., By the end of this book, you will have established a firm understanding of the Spark Python API and how it can be used t

用于读取和写入FITS文件的python库。 描述 这是用c和python编写的python扩展。 数据被读取到数字python数组中。 该软件包捆绑了cfitsio版本，无需安装自己的版本，也不会与已安装的版本冲突。 一些功能 读取和写入图像，二进制和ASCII表扩展名。 读取表列和行的任意子集，而无需将所有数据加载到内存中。 读取图像子集而不读取整个图像。 将子集写入现有图像。 写入和读取可变长度表列。 使用类似于numpy数组的切片符号读取图像和表格。 这就像更强大的memmap，因为它可以识别表的列。 将行追加到现有表。 删除行集和行范围。 调整表大小或插入行。 查询表中的列和行。 读写标题关键字。 以图块压缩格式（RICE，GZIP，PLIO，HCOMPRESS）读取和写入图像。 直接读取/写入gzip文件。 读取unix compress（.Z，.zip）和