memsql-python | repository holds some python libraries
kandi X-RAY | memsql-python Summary
kandi X-RAY | memsql-python Summary
memsql-python is a Python library. memsql-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 memsql-python' or download it from GitHub, PyPI.
This repository holds some python libraries and plugins designed to be used with MemSQL.
This repository holds some python libraries and plugins designed to be used with MemSQL.
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Quality
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memsql-python has a low active ecosystem.
It has 58 star(s) with 31 fork(s). There are 132 watchers for this library.
It had no major release in the last 12 months.
There are 2 open issues and 7 have been closed. On average issues are closed in 49 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of memsql-python is v2.10.4
Quality
memsql-python has 0 bugs and 0 code smells.
Security
memsql-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
memsql-python code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
memsql-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.
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memsql-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.
Top functions reviewed by kandi - BETA
kandi has reviewed memsql-python and discovered the below as its top functions. This is intended to give you an instant insight into memsql-python implemented functionality, and help decide if they suit your requirements.
- Connect to the master
- Update the aggregator list
- Connect to the pool
- Connect to the Aggregator
- Connect to a multiprocessing process
- Handle a connection failure
- Wraps a function to handle errors
- Connect to the database
- Execute a query
- Close the database
- Reconnect to the database
- Ensure the connection is established
- Warm up the workload
- Execute a query against the database
- Returns the last row id of the query
- Performs multiple replace
- Insert multiple rows into database
- Setup the test database
- Run a query
- Return the value of a key
- Return the value of a field
- Run the benchmark
- Show the given error number
- Perform multiple insert operation
- Close all open connections
- Run the main thread
Get all kandi verified functions for this library.
memsql-python Key Features
No Key Features are available at this moment for memsql-python.
memsql-python Examples and Code Snippets
No Code Snippets are available at this moment for memsql-python.
Community Discussions
No Community Discussions are available at this moment for memsql-python.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install memsql-python
You can install using 'pip install memsql-python' or download it from GitHub, PyPI.
You can use memsql-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.
You can use memsql-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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