sqltap | SQL profiling and introspection for applications | SQL Database library
kandi X-RAY | sqltap Summary
kandi X-RAY | sqltap Summary
sqltap is a Python library typically used in Database, SQL Database, Oracle applications. sqltap has no bugs, it has no vulnerabilities, it has build file available and it has low support. However sqltap has a Non-SPDX License. You can install using 'pip install sqltap' or download it from GitHub, PyPI.
sqltap helps you quickly understand:.
sqltap helps you quickly understand:.
Support
Quality
Security
License
Reuse
Support
sqltap has a low active ecosystem.
It has 256 star(s) with 39 fork(s). There are 9 watchers for this library.
It had no major release in the last 12 months.
There are 9 open issues and 10 have been closed. On average issues are closed in 97 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of sqltap is 0.3.11
Quality
sqltap has 0 bugs and 24 code smells.
Security
sqltap has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
sqltap code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
sqltap has a Non-SPDX License.
Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
Reuse
sqltap releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Installation instructions are not available. Examples and code snippets are available.
sqltap saves you 348 person hours of effort in developing the same functionality from scratch.
It has 832 lines of code, 84 functions and 6 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed sqltap and discovered the below as its top functions. This is intended to give you an instant insight into sqltap implemented functionality, and help decide if they suit your requirements.
- Calculate the statistics for each query
- Add a new query to the database
- Calculate the median of the query
- Add the given query
- Find the user function in the stack
- Format SQL
- Collect the query and collect the results
- Extract the parameters from the query results
- Hook for _remove_dispatch
Get all kandi verified functions for this library.
sqltap Key Features
No Key Features are available at this moment for sqltap.
sqltap Examples and Code Snippets
No Code Snippets are available at this moment for sqltap.
Community Discussions
Trending Discussions on sqltap
QUESTION
Applying array_agg on Enum column returns ""{" is not among the defined enum values"
Asked 2019-Oct-18 at 07:39
For my project, I am using Postgres DB and SQLAlchemy as an ORM. I have defined a few enums that we are using across different models.
I have a enum defined
...ANSWER
Answered 2019-Oct-18 at 07:39So, while trying different things, I tried json_agg instead and it seems to work. So now my query looks like
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install sqltap
You can install using 'pip install sqltap' or download it from GitHub, PyPI.
You can use sqltap 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 sqltap 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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