giraffez | User-friendly Teradata client for Python | Database library
kandi X-RAY | giraffez Summary
kandi X-RAY | giraffez Summary
giraffez is a Python library typically used in Database applications. giraffez 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 giraffez' or download it from GitHub, PyPI.
User-friendly Teradata client for Python
User-friendly Teradata client for Python
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Quality
Security
License
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Support
giraffez has a low active ecosystem.
It has 106 star(s) with 33 fork(s). There are 19 watchers for this library.
It had no major release in the last 12 months.
There are 15 open issues and 44 have been closed. On average issues are closed in 133 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of giraffez is 2.1.0
Quality
giraffez has 0 bugs and 0 code smells.
Security
giraffez has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
giraffez code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
giraffez 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
giraffez releases are available to install and integrate.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
giraffez saves you 4546 person hours of effort in developing the same functionality from scratch.
It has 9611 lines of code, 405 functions and 58 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed giraffez and discovered the below as its top functions. This is intended to give you an instant insight into giraffez implemented functionality, and help decide if they suit your requirements.
- Main entry point
- Get the format
- Execute a command
- Truncate a string
- Run the teradataBulk export
- Fetch data from target table or stream
- Convert to string
- Generator to write the data to the archive
- Execute the query
- Find the Teradata installation path
- Register commands
- Register arguments
- Fix compile
- List of column names
- Returns the names of tables
- Run a command
- Creates a wrapped spinner
- Print the value of a key
- Report table output
- Parse query
- Setup the teradata files
- Compile the given extension
- Run the workflow
- Write configuration file
- Set up the teradata files
- Default parser
Get all kandi verified functions for this library.
giraffez Key Features
No Key Features are available at this moment for giraffez.
giraffez Examples and Code Snippets
No Code Snippets are available at this moment for giraffez.
Community Discussions
Trending Discussions on giraffez
QUESTION
bash loop to extract data from Teradata
Asked 2017-Jun-02 at 15:36
I need to extract data from Teradata into csv files using a tool named giraffez
. I have to do this one date at a time due to file size constraints. I can do this using the command:
ANSWER
Answered 2017-Jun-02 at 15:21A loop to generate all dates between to dates
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install giraffez
You can install using 'pip install giraffez' or download it from GitHub, PyPI.
You can use giraffez 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 giraffez 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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