sqlalchemy-teradata | A SQLAlchemy dialect for Teradata | SQL Database library
kandi X-RAY | sqlalchemy-teradata Summary
kandi X-RAY | sqlalchemy-teradata Summary
sqlalchemy-teradata is a Python library typically used in Database, SQL Database applications. sqlalchemy-teradata has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. However sqlalchemy-teradata has 21 bugs. You can download it from GitHub.
A SQLAlchemy dialect for Teradata
A SQLAlchemy dialect for Teradata
Support
Quality
Security
License
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Support
sqlalchemy-teradata has a low active ecosystem.
It has 54 star(s) with 18 fork(s). There are 23 watchers for this library.
It had no major release in the last 6 months.
There are 25 open issues and 39 have been closed. On average issues are closed in 146 days. There are 3 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of sqlalchemy-teradata is current.
Quality
sqlalchemy-teradata has 21 bugs (20 blocker, 0 critical, 1 major, 0 minor) and 45 code smells.
Security
sqlalchemy-teradata has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
sqlalchemy-teradata code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
sqlalchemy-teradata is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
sqlalchemy-teradata releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
sqlalchemy-teradata saves you 586 person hours of effort in developing the same functionality from scratch.
It has 1366 lines of code, 171 functions and 16 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed sqlalchemy-teradata and discovered the below as its top functions. This is intended to give you an instant insight into sqlalchemy-teradata implemented functionality, and help decide if they suit your requirements.
- Generate a CREATE statement
- Format table post creation
- Return postfix format for table
- Get all foreign keys
- Normalize name
- Create a partition by cols
- Return the SQL statement for a partition
- Appends a value to opts
- Get all the indexes in a table
- Get unique constraints for a table
- Get view names from database
- Partition by cols
- Set the primary amp index
- Creates a new primary index
- Add checksum
- Create a new table with a journal table
- Adds concurrent loading
- Set the datablocks size
- Compile options
- Format columns
- Set blockcompression
- Set the merge block ratio
- Return True if the connection supports autocommit
- Get transaction mode
- Set the freespaces property
Get all kandi verified functions for this library.
sqlalchemy-teradata Key Features
No Key Features are available at this moment for sqlalchemy-teradata.
sqlalchemy-teradata Examples and Code Snippets
No Code Snippets are available at this moment for sqlalchemy-teradata.
Community Discussions
Trending Discussions on sqlalchemy-teradata
QUESTION
Why don't SQLAlchemy show up in the search results of `pip3 search SQLAlchemy`?
Asked 2020-Apr-01 at 18:38
I wanted to install SQLAlchemy for Python 3 for working with databases.
I searched for the package using pip3 search SQLAlchemy, but I didn't find SQLAlchemy as part of the results.
Why don't SQLAlchemy show up in the output below, when the package is available on PyPI?
https://pypi.org/project/SQLAlchemy/
SQLAlchemy 1.3.15
...ANSWER
Answered 2020-Apr-01 at 18:38$ pip search sqlalchemy | wc -l
100
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sqlalchemy-teradata
You can download it from GitHub.
You can use sqlalchemy-teradata 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 sqlalchemy-teradata 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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