python-snappy | Python bindings for the snappy google library

by andrix Python Version: 0.7.0.dev1 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(7)Vulnerabilities Install Support

kandi X-RAY | python-snappy Summary

python-snappy is a Python library. python-snappy has no bugs, it has no vulnerabilities, it has build file available and it has low support. However python-snappy has a Non-SPDX License. You can install using 'pip install python-snappy' or download it from GitHub, PyPI.

Python bindings for the snappy google library

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Quality

Security

License

Reuse

Support

python-snappy has a low active ecosystem.

It has 425 star(s) with 94 fork(s). There are 13 watchers for this library.

It had no major release in the last 12 months.

There are 17 open issues and 52 have been closed. On average issues are closed in 89 days. There are 5 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of python-snappy is 0.7.0.dev1

Quality

python-snappy has 0 bugs and 0 code smells.

Security

python-snappy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

python-snappy code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

python-snappy has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

python-snappy releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

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

Top functions reviewed by kandi - BETA

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

Decompress data
Calculate the CRC32 checksum of data
Calculate the CRC32 of the given data
Unpacks an integer into an integer
Compress data
Add chunk data to the stream
Pack an integer into an integer
Get the decompress function for the given format
Guess the format of a file
Return the compression function for the specified format

Get all kandi verified functions for this library.

python-snappy Key Features

No Key Features are available at this moment for python-snappy.

python-snappy Examples and Code Snippets

No Code Snippets are available at this moment for python-snappy.

Community Discussions

Trending Discussions on python-snappy

Docker/Linux: 'x86_64-linux-gnu-gcc' failed with exit status 1

RuntimeError: Decompression 'SNAPPY' not available. Options: ['BROTLI', 'GZIP', 'UNCOMPRESSED'] (error happens only in .py and not in .ipython)

Can't install python-snappy wheel in Pycharm

Interpreting package requests conflicts for a failed conda install

Operations on a Dask DataFrame fail when using snappy compression

local dask cluster using docker-compose

compression option in fastparquet is not consistent

QUESTION

Docker/Linux: 'x86_64-linux-gnu-gcc' failed with exit status 1

Asked 2021-Sep-12 at 02:57

I have this error when trying to load my docker container, specifically when trying to install the pyodbc package.

I have tried all the fixes here: command 'x86_64-linux-gnu-gcc' failed with exit status 1

but I still get the following error:

...

ANSWER

Answered 2021-Sep-12 at 02:57

You need apt-get install unixodbc-dev -y before install pyodbc, the sql.h is in that package, see next:

Source https://stackoverflow.com/questions/69148064

QUESTION

RuntimeError: Decompression 'SNAPPY' not available. Options: ['BROTLI', 'GZIP', 'UNCOMPRESSED'] (error happens only in .py and not in .ipython)

Asked 2021-Feb-24 at 21:47

I got this error as in the title while trying to read parquet files using fastparquet with the following codes:

...

ANSWER

Answered 2021-Feb-24 at 21:47

After trying around, I found a workaround: I downloaded the wheel file of python-snappy from the PyPI website and manually installed it via pip install --force-reinstall python_snappy-0.6.0-cp38-cp38-win_amd64.whl and this error disappeared. Hopefully, this can help others having the same issue.

Source https://stackoverflow.com/questions/66177216

QUESTION

Can't install python-snappy wheel in Pycharm

Asked 2020-Dec-02 at 15:19

I have a question here, and then I have followed this answer https://stackoverflow.com/a/43756412/12375559 to download the file and installed from my windows prompt, and it seems the python-snappy has been installed

...

ANSWER

Answered 2020-Dec-02 at 15:19

Using the full path to the correct Python interpreter does the job:

Source https://stackoverflow.com/questions/65109444

QUESTION

Interpreting package requests conflicts for a failed conda install

Asked 2020-Aug-04 at 17:40

Attempting the following conda install operation (derived from the NVIDIA RAPIDS installation instructions):

...

ANSWER

Answered 2020-Aug-04 at 17:40

Just running :

Source https://stackoverflow.com/questions/63179722

QUESTION

Operations on a Dask DataFrame fail when using snappy compression

Asked 2020-Jul-29 at 16:15

I partitioned a large dataset into a sequence of parquet files using pandas.DataFrame.to_parquet and saved them to S3. I then read these into Dask on a cluster using dask.read_parquet:

...

ANSWER

Answered 2020-Jul-29 at 16:15

You need to have snappy and python-snappy installed in the client environment as well, so that the worker can use the codec to turn source bytes into data.

I'm accessing the cluster from a local Jupyter notebook on my machine via SSH port forwarding, and did not have these packages installed locally. Installing them in my local env:

Source https://stackoverflow.com/questions/63157674

QUESTION

local dask cluster using docker-compose

Asked 2020-Jun-25 at 08:44

I want to create a docker-compose.yml containing our company analysis toolchain. For this purpose, I add dask. The docker-compoe.yml looks like this:

docker-compose.yml

...

ANSWER

Answered 2020-Jun-25 at 08:44

After a long trip of debugging, I could finally break it on a before running Environment. Given bokeh="==2.0.2" shows the dashboard as expected. But using latest Version bokeh="==2.1.0" in my Pipefile showed the appropriate error message. Maybe it also a combination of different versions of various packages.

In case somebody else find this: Fix your version of bokeh to 2.0.2 to have the Dashboard back. Using latest with no fixed versions at all will break it. So its not related to docker or docker-compose.

Edit: Its now fixed in the latest dask release 2.19.0 - so updating your dask dependencies should work as well.

Source https://stackoverflow.com/questions/62345391

QUESTION

compression option in fastparquet is not consistent

Asked 2020-Jan-23 at 05:15

According to the project page of fastparquet, fastparquet support various compression methods

Optional (compression algorithms; gzip is always available):
...

ANSWER

Answered 2020-Jan-23 at 05:15

Yes, you may be missing some packages. Your system must have have the python LZ4 and/or zstandard bindings first. See the source code for more details.

For LZ4: if import lz4.block gives a ModuleNotFoundError, then go ahead and install with pip install lz4.
Similarly for zstandard: pip install zstandard
And for brotli: pip install brotlipy
And lzo: pip install python-lzo
And snappy: pip install python-snappy

Source https://stackoverflow.com/questions/59871667

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

Vulnerabilities

No vulnerabilities reported

Install python-snappy

You can install using 'pip install python-snappy' or download it from GitHub, PyPI.
You can use python-snappy 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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