azure-data-lake-store-python | Microsoft Azure Data Lake Store Filesystem Library | Azure library

by Azure Python Version: v0.0.51 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | azure-data-lake-store-python Summary

azure-data-lake-store-python is a Python library typically used in Cloud, Azure applications. azure-data-lake-store-python has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install azure-data-lake-store-python' or download it from GitHub, PyPI.

Microsoft Azure Data Lake Store Filesystem Library for Python

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Security

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azure-data-lake-store-python has a low active ecosystem.

It has 63 star(s) with 64 fork(s). There are 31 watchers for this library.

It had no major release in the last 12 months.

There are 6 open issues and 142 have been closed. On average issues are closed in 115 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of azure-data-lake-store-python is v0.0.51

Quality

azure-data-lake-store-python has 0 bugs and 0 code smells.

Security

azure-data-lake-store-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

azure-data-lake-store-python code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

azure-data-lake-store-python is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

azure-data-lake-store-python releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

azure-data-lake-store-python saves you 2089 person hours of effort in developing the same functionality from scratch.

It has 4584 lines of code, 432 functions and 29 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Update the state of a future
Submit files to destination
Rename a file
Update the progress bar
Fetch a single chunk
Flush the buffer
Seek to a specific position
Write data to the file
Start a processor
Prepare the Azure Cosmos resource
Read a block of bytes
Initialize AzureDLPath objects
Set the expiration time of a path
Upload a chunk from src to dst
Configure logging
Remove a directory
Monitor the given exception queue
Remove ACL entries from a path
Merge multiple files into a single file
Modify a ACL entry
Set ACL for a path
Verify that the file exists
Create a directory
\ x1b
Main listener function
Removes the default ACL

Get all kandi verified functions for this library.

azure-data-lake-store-python Key Features

No Key Features are available at this moment for azure-data-lake-store-python.

azure-data-lake-store-python Examples and Code Snippets

No Code Snippets are available at this moment for azure-data-lake-store-python.

Community Discussions

Trending Discussions on azure-data-lake-store-python

Can azure data lake files be filtered based on Last Modified time using azure python sdk?

Flask File upload to Azure Data Lake Store

QUESTION

Can azure data lake files be filtered based on Last Modified time using azure python sdk?

Asked 2020-Apr-24 at 22:45

I am trying to perform in-memory operations on files stored in azure datalake. I am unable to find documentation regarding using a matching pattern without using the ADL Downloader.

For a single file, this is the code I use

...

ANSWER

Answered 2019-Oct-21 at 21:35

Note:

This question was answered by akharit in GitHub recently. I am providing his answer below which solves my requirement.

**There isn't any in build functionality in the adls sdk itself as there is no server side api that will return only files modified with the last 4 hours. It should be easy to write the code to do that after you get the list of all entries. The modification time field returns milliseconds since unix epoch, which you can convert to a python datetime object by

Source https://stackoverflow.com/questions/58341440

QUESTION

Flask File upload to Azure Data Lake Store

Asked 2019-May-20 at 08:16

I am trying to upload a file from a Flask (Flask-restplus) application directly to azure data lake store (gen1).

The flask application is running on azure web app. Is that even possible, or would I need to upload it to the azure web app server first, before moving it to ADLS?

The python library for ADLS (https://github.com/Azure/azure-data-lake-store-python) doesn't seem to have any function for that. For example, ADLUploader expects a local file as source.

Thanks!

...

ANSWER

Answered 2019-May-20 at 08:16

No direct way for that.

One way is that as you mentioned, upload to app server, then move to ADLS.

Another possible way is that if you can convert the file content to bytes, then you can use some other methods in ADLS like open() / write(), details like below(just the Pseudocode, you can modify them as per your need):

1.Create a client: myclient = core.AzureDLFileSystem(adlCreds,store_name=adlsAccountName)

2.Get the file name you're uploading, create an empty file in ADLS: myclient.touch("test/myfile.txt")

3.Open the file in ADLS with 'wb' mode: myfile = myclient.open('test/myfile.txt','wb')

4.Use some methods to convert the content of the file you're uploading to bytes

5.Use write() and flush() method to write the bytes content to the files in ADLS:

Source https://stackoverflow.com/questions/56212492

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

Vulnerabilities

No vulnerabilities reported

Install azure-data-lake-store-python

You can install using 'pip install azure-data-lake-store-python' or download it from GitHub, PyPI.
You can use azure-data-lake-store-python 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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