是否可以将大型oracle数据库(600+ GB)导入到jupyter笔记本中? [英] Is it possible to import big oracle database(600+ GB) to jupyter notebook?

问题描述

是否可以将大型数据库导入jupyter笔记本?它是否仅限于某些类型的数据库，并且可以与oracle数据库一起使用?

Is it possible to import a large database to the jupyter notebook? Is it restricted to certain types of database and is it possible to do with oracle database?

推荐答案

是否可以将[600+ GB]导入jupyter笔记本?

Is it possible to import [600+ GB] to the jupyter notebook?

不.目前看来Jupyter的最大限制为100MB. 查看源代码.

No. At the moment it seems Jupyter has a maximum limit of 100MB. Check out the source.

笔记本用于共享分析和驱动分析的数据.它们不适用于600GB建议的那种繁重的数据处理.

Notebooks are for sharing analyses and the data to drive them. They are not intended for the sort of heavy duty data crunching suggested by 600GB.

是否仅限于某些类型的数据库，并且可以使用oracle数据库吗?

Is it restricted to certain types of database and is it possible to do with oracle database?

您可以使用Jupyter做任何其他Python工具可以做的事情.因此，您可以使用cx_oracle库将数据导入Pandas数据框，并在Jupyter中使用它. CERN站点上有一些有关与Oracle，Pandas和Jupyter一起工作的非常有用的信息(它们占用了大量的数据). 了解更多

You can do anything with Jupyter that you could do with any other Python tool. So you can use the cx_oracle library to import data into a Pandas dataframe and work with that in Jupyter. The CERN site has some very useful information on working with Oracle, Pandas and Jupyter (and they wrangle huuuuge amounts of data). Find out more

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