amazon-documentdb-tools | Tools for use with the Amazon DocumentDB managed document
kandi X-RAY | amazon-documentdb-tools Summary
kandi X-RAY | amazon-documentdb-tools Summary
amazon-documentdb-tools is a Python library typically used in MongoDB applications. amazon-documentdb-tools has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However amazon-documentdb-tools build file is not available. You can download it from GitHub.
This repo contains the following tools.
This repo contains the following tools.
Support
Quality
Security
License
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Support
amazon-documentdb-tools has a low active ecosystem.
It has 98 star(s) with 54 fork(s). There are 14 watchers for this library.
It had no major release in the last 6 months.
There are 7 open issues and 34 have been closed. On average issues are closed in 92 days. There are 3 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of amazon-documentdb-tools is current.
Quality
amazon-documentdb-tools has 0 bugs and 0 code smells.
Security
amazon-documentdb-tools has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
amazon-documentdb-tools code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
amazon-documentdb-tools is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
amazon-documentdb-tools releases are not available. You will need to build from source code and install.
amazon-documentdb-tools has no build file. You will be need to create the build yourself to build the component from source.
It has 5267 lines of code, 197 functions and 52 files.
It has high code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed amazon-documentdb-tools and discovered the below as its top functions. This is intended to give you an instant insight into amazon-documentdb-tools implemented functionality, and help decide if they suit your requirements.
- Loads keyword keywords
- Parse oplog log
- Process oplog processor
- Change stream processor
- Handler for Lambda Function
- Convert a regional cluster to global cluster
- Create a global cluster
- Adds a DB instance to the cluster
- Compute metrics from MongoDB
- Prints the evaluation
- Connect to MongoDB
- Get collection statistics
- Prints differences between two dictionaries
- Compare two documents
- Generate scan code
- Run the instance
- Load index files
- Full load loader
- Runs the reporting thread
- Get a list of _id values for each document
- Get the boundaries of the server
- Get data from MongoDB
- Start a watch on the given token_data
- Load collection - level collection operations
- Start watching the collection
- Start watching the databases from the cluster
Get all kandi verified functions for this library.
amazon-documentdb-tools Key Features
No Key Features are available at this moment for amazon-documentdb-tools.
amazon-documentdb-tools Examples and Code Snippets
No Code Snippets are available at this moment for amazon-documentdb-tools.
Community Discussions
No Community Discussions are available at this moment for amazon-documentdb-tools.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install amazon-documentdb-tools
You can download it from GitHub.
You can use amazon-documentdb-tools 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 amazon-documentdb-tools 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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