thriftpy2 | Pure python approach of Apache Thrift
kandi X-RAY | thriftpy2 Summary
kandi X-RAY | thriftpy2 Summary
thriftpy2 is a Python library typically used in Web Services applications. thriftpy2 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 thriftpy2' or download it from GitHub, PyPI.
Pure python approach of Apache Thrift.
Pure python approach of Apache Thrift.
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Quality
Security
License
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Support
thriftpy2 has a low active ecosystem.
It has 524 star(s) with 81 fork(s). There are 12 watchers for this library.
There were 2 major release(s) in the last 6 months.
There are 32 open issues and 74 have been closed. On average issues are closed in 77 days. There are 6 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of thriftpy2 is 0.5.1rc2
Quality
thriftpy2 has 0 bugs and 0 code smells.
Security
thriftpy2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
thriftpy2 code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
thriftpy2 is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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thriftpy2 releases are available to install and integrate.
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 thriftpy2 and discovered the below as its top functions. This is intended to give you an instant insight into thriftpy2 implemented functionality, and help decide if they suit your requirements.
- Flush the buffer
- Open the connection
- Create a new async client
- Open connection to server
- Process a stream
- Context manager
- Read a single frame from the stream
- Close the stream
- Parse reference type
- Sets the given info
- Calculate the log value
- Record request info
- Handle simple services
- Read MessageBegin index
- Permission negotiation
- Create a new metaclass
- Map values to their JSON representation
- Load a Thrift module
- Reads the message header
- Read the start of a message
- Map a list of keys to obj
- Parse include statement
- Parse a constant reference
- Parse simple field
- Send request to API
- Create an addressbook
Get all kandi verified functions for this library.
thriftpy2 Key Features
No Key Features are available at this moment for thriftpy2.
thriftpy2 Examples and Code Snippets
No Code Snippets are available at this moment for thriftpy2.
Community Discussions
Trending Discussions on thriftpy2
QUESTION
Pandas UDF throws error not of required length
Asked 2022-Mar-28 at 12:27
I have a delta table which has thrift data from kafka and I am using a UDF to deserialize it. I have no issues when I use regular UDF, but I get an error when I try to use Pandas UDF.
This runs fine i.e. ruglar UDF
...ANSWER
Answered 2022-Mar-28 at 12:27Figured out the solution, we have to return the output as a series
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install thriftpy2
You can install using 'pip install thriftpy2' or download it from GitHub, PyPI.
You can use thriftpy2 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.
You can use thriftpy2 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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