gtfs_SQL_importer | Import GTFS data to SQL | Web Services library
kandi X-RAY | gtfs_SQL_importer Summary
kandi X-RAY | gtfs_SQL_importer Summary
gtfs_SQL_importer is a Python library typically used in Web Services applications. gtfs_SQL_importer has no vulnerabilities, it has a Permissive License and it has low support. However gtfs_SQL_importer has 17 bugs and it build file is not available. You can download it from GitHub.
Quick & easy import of GTFS data into a SQL database.
Quick & easy import of GTFS data into a SQL database.
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Quality
Security
License
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Support
gtfs_SQL_importer has a low active ecosystem.
It has 82 star(s) with 61 fork(s). There are 12 watchers for this library.
It had no major release in the last 6 months.
There are 2 open issues and 3 have been closed. On average issues are closed in 0 days. There are 4 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of gtfs_SQL_importer is current.
Quality
gtfs_SQL_importer has 17 bugs (0 blocker, 0 critical, 12 major, 5 minor) and 20 code smells.
Security
gtfs_SQL_importer has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
gtfs_SQL_importer code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
gtfs_SQL_importer 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
gtfs_SQL_importer releases are not available. You will need to build from source code and install.
gtfs_SQL_importer has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
gtfs_SQL_importer saves you 111 person hours of effort in developing the same functionality from scratch.
It has 282 lines of code, 13 functions and 7 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of gtfs_SQL_importer
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of gtfs_SQL_importer
gtfs_SQL_importer Key Features
No Key Features are available at this moment for gtfs_SQL_importer.
gtfs_SQL_importer Examples and Code Snippets
No Code Snippets are available at this moment for gtfs_SQL_importer.
Community Discussions
Trending Discussions on gtfs_SQL_importer
QUESTION
how to pipe multiple sql- and py-scripts
Asked 2017-Jun-20 at 03:52
I have the following code copied from github gtfs_SQL_importer:
...ANSWER
Answered 2017-Jun-17 at 14:51Comment: So I can´t combine the sql-files and the output from my pythonscript together and pipe them to psql?
Another approach, create your own cat
with Python,
or add the first three line of code to import_gtfs_to_sql.py
,
for instance:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install gtfs_SQL_importer
You can download it from GitHub.
You can use gtfs_SQL_importer 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 gtfs_SQL_importer 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
This will use "INSERT" statements instead of "COPY" statements. Also, I believe the vacuumer.sql file is also postgres specific, so omit it if it gives errors. Most GTFS data has errors in it, so you will likely encounter an error when running the step above. After fixing the error by manually correcting the GTFS files, you can simply repeat the command (which will likely break again, and so on).
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