MiniDFS | Python Implementation of Mini DFS | Learning library

by HawkAaron Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | MiniDFS Summary

MiniDFS is a Python library typically used in Tutorial, Learning, Example Codes applications. MiniDFS has no bugs, it has no vulnerabilities and it has low support. However MiniDFS build file is not available. You can download it from GitHub.

Python Implementation of Mini DFS

Support

Quality

Security

License

Reuse

Support

MiniDFS has a low active ecosystem.

It has 13 star(s) with 4 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

MiniDFS has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of MiniDFS is current.

Quality

MiniDFS has 0 bugs and 0 code smells.

Security

MiniDFS has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

MiniDFS code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MiniDFS does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

MiniDFS releases are not available. You will need to build from source code and install.

MiniDFS has no build file. You will be need to create the build yourself to build the component from source.

Installation instructions are not available. Examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed MiniDFS and discovered the below as its top functions. This is intended to give you an instant insight into MiniDFS implemented functionality, and help decide if they suit your requirements.

The main loop
Get a node from the tree
Update the meta file
Put a file
Read the file
Fetch data server
Insert directory
Return the file id associated with the given path
List files
Insert directory id into d
Main loop
Read data from server
Write the content of the file
Start the daemon
Process command line
Print information about a given operation
View the tree
Insert directory into tree
Get node from the tree
Display information about the operation

Get all kandi verified functions for this library.

MiniDFS Key Features

No Key Features are available at this moment for MiniDFS.

MiniDFS Examples and Code Snippets

No Code Snippets are available at this moment for MiniDFS.

Community Discussions

Trending Discussions on MiniDFS

MiniDFS cluster setup for multiple test classes throws java.net.BindException: Address already in use

QUESTION

MiniDFS cluster setup for multiple test classes throws java.net.BindException: Address already in use

Asked 2020-Aug-28 at 16:06

I am writing unit test cases for spark code that reads/writes data from/to both hdfs files and spark's catalog. For this I created a separate trait that provides initialisation of minidfs cluster and I am using the generated hdfs uri in value for - spark.sql.warehouse.dir while creating the SparkSession object. Here is the code for it -

...

ANSWER

Answered 2020-Aug-28 at 16:06

I resolved it by creating the hdfs cluster in companion object instead so that it creates a single instance of it for all the test suits.

Source https://stackoverflow.com/questions/63629754

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install MiniDFS

You can download it from GitHub.
You can use MiniDFS like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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