python-db | Relevant codes for python to operate the database

 by   happyheng Python Version: Current License: No License

kandi X-RAY | python-db Summary

kandi X-RAY | python-db Summary

python-db is a Python library. python-db has no bugs, it has no vulnerabilities and it has low support. However python-db build file is not available. You can download it from GitHub.

Relevant codes for python to operate the database

            kandi-support Support

              python-db has a low active ecosystem.
              It has 6 star(s) with 7 fork(s). There are 1 watchers for this library.
              It had no major release in the last 6 months.
              python-db has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of python-db is current.

            kandi-Quality Quality

              python-db has 0 bugs and 0 code smells.

            kandi-Security Security

              python-db has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              python-db code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              python-db does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              python-db releases are not available. You will need to build from source code and install.
              python-db has no build file. You will be need to create the build yourself to build the component from source.

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            python-db Key Features

            No Key Features are available at this moment for python-db.

            python-db Examples and Code Snippets

            No Code Snippets are available at this moment for python-db.

            Community Discussions


            AWS Lambda to RDS PostgreSQL
            Asked 2022-Mar-20 at 23:33

            Hello fellow AWS contributors, I’m currently working on a project to set up an example of connecting a Lambda function to our PostgreSQL database hosted on RDS. I tested my Python + SQL code locally (in VS code and DBeaver) and it works perfectly fine with including only basic credentials(host, dbname, username password). However, when I paste the code in Lambda function, it gave me all sorts of errors. I followed this template and modified my code to retrieve the credentials from secret manager instead.

            I’m currently using boto3, psycopg2, and secret manager to get credentials and connect to the database.

            List of errors I’m getting-

            1. server closed the connection unexpectedly. This probably means the server terminated abnormally before or while processing the request
            2. could not connect to server: Connection timed out. Is the server running on host “db endpoint” and accepting TCP/IP connections on port 5432?
            3. FATAL: no pg_hba.conf entry for host “ip:xxx”, user "userXXX", database "dbXXX", SSL off

            Things I tried -

            1. RDS and Lambda are in the same VPC, same subnet, same security group.
            2. IP address is included in the inbound rule
            3. Lambda function is set to run up to 15 min, and it always stops before it even hits 15 min
            4. I tried both database endpoint and database proxy endpoint, none of it works.

            It doesn’t really make sense to me that when I run the code locally, I only need to provide the host, dbname, username, and password, that’s it, and I’m able to write all the queries and function I want. But when I throw the code in lambda function, it’s requiring all these secret manager, VPC security group, SSL, proxy, TCP/IP rules etc. Can someone explain why there is a requirement difference between running it locally and on lambda?

            Finally, does anyone know what could be wrong in my setup? I'm happy to provide any information in related to this, any general direction to look into would be really helpful. Thanks!



            Answered 2022-Mar-20 at 23:33

            Following the directions at the link below to build a specific psycopg2 package and also verifying the VPC subnets and security groups were configured correctly solved this issue for me.

            I built a package for PostgreSQL 10.20 using psycopg2 v2.9.3 for Python 3.7.10 running on an Amazon Linux 2 AMI instance. The only change to the directions I had to make was to put the psycopg2 directory inside a python directory (i.e. "python/psycopg2/") before zipping it -- the import psycopg2 statement in the Lambda function failed until I did that.

            This the VPC scenario I'm using. The Lambda function is executing inside the Public Subnet and associated Security Group. Inbound rules for the Private Subnet Security Group only allow TCP connections to 5432 for the Public Subnet Security Group.



            python mysql - find in loop for every column name string has any reserved keywords used
            Asked 2021-Jun-22 at 13:13

            I am trying to implement an auto loader from csv to database in python. Here I used for loop to read the column names in csv. Sometimes it might happen that the column names could be same as reserved keywords of MySQL. So I want to find out a way if I can filter such strings that are same as reserved keywords. I saw many posts who suggested to do it manually adding all the keywords in a new table and then compare. But there is high chance of loosing a keyword while doing so and also extremely laborious process.

            Or would it be a feasable way to catch the error and process the letters from error? Would it be possible to identify like that?

            So is there a way how to find out if my query in loop has an input string which is same as reserved keyword of MySQL using python. Or any alternative how to find?

            I am aware how to handle a keyword Eg: with back tick or in square brackets. But that is second step. First I have to know if there is a string that could be a keyword. How do I do this without creating a table/list of keywords. I am sure some words might be missed or there could be a typo by adding manually.

            I have did some research and found an interesting almost similar but not same question in the following link. This answer did not support my use. Escaping MySQL reserved words with Python dbapi

            Looking forward for your support and encouragement. I am a total newbee in SQL. Thank you



            Answered 2021-Jun-22 at 13:13

            Not sure if this what you require but check it out;

            Option 1: Here is a complete list of all the keywords in MySQL. You can compare your column names with them and modify them accordingly



            "ModuleNotFoundError: No module named 'dbus'" on macOS
            Asked 2021-May-26 at 09:42

            I'm getting an error when I'm using the notify2 module.

            ModuleNotFoundError: No module named 'dbus'

            The error is from the file.

            When I tried pip install dbus this was the output:



            Answered 2021-May-26 at 08:00

            Try doing pip install dbus-python. It worked for me on fedora 34.


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install python-db

            You can download it from GitHub.
            You can use python-db 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.


            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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