ADFlib | A free, portable and open implementation of the Amiga filesystem | File Utils library

by lclevy C Version: 0.7.12 License: GPL-2.0

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kandi X-RAY | ADFlib Summary

ADFlib is a C library typically used in Utilities, File Utils applications. ADFlib has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

The ADFlib is a free, portable and open implementation of the Amiga filesystem. initial release in 1999. It is written in portable C, and support the WinNT platform to access real drives. See also :

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Support

ADFlib has a low active ecosystem.

It has 57 star(s) with 26 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 8 have been closed. On average issues are closed in 343 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ADFlib is 0.7.12

Quality

ADFlib has no bugs reported.

Security

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

License

ADFlib is licensed under the GPL-2.0 License. This license is Strong Copyleft.

Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

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

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

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Community Discussions

Trending Discussions on ADFlib

Azure Data Factory V2 - Input and Output

QUESTION

Azure Data Factory V2 - Input and Output

Asked 2019-Nov-19 at 09:48

I'm trying to reproduce the following architecture based on the following github repo: https://github.com/Azure/cortana-intelligence-price-optimization

The problem is the part linked to the ADF, since in the guide it uses the old version of ADF: I don't know how to map in ADF v2 the "input" and "output" properties of a single activity so that they point to a dataset.

The pipeline performs a spark activity that does nothing more than execute a python script, and then I think it should write data into the dataset I defined already.

Here is the json of the ADF V1 pipeline inside the guide, which I cannot replicate:

...

ANSWER

Answered 2019-Nov-19 at 09:48

The Spark activity in a Data Factory pipeline executes a Spark program on your own or on-demand HDInsight cluster. This article builds on the data transformation activities article, which presents a general overview of data transformation and the supported transformation activities. When you use an on-demand Spark linked service, Data Factory automatically creates a Spark cluster for you just-in-time to process the data and then deletes the cluster once the processing is complete.

Upload "Sales_Data_Aggregation_2.0_blob.py" to storage account attached to the HDInsight cluster and the modify the sample definition of a spark activity and create a schedule trigger and run the code:

Here is the sample JSON definition of a Spark activity:

Source https://stackoverflow.com/questions/58793564

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