SQLike | A simple DBMS based on flat files and commands like SQL | Database library

by liyafe1997 Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | SQLike Summary

SQLike is a Python library typically used in Database applications. SQLike has no bugs, it has no vulnerabilities and it has low support. However SQLike build file is not available. You can download it from GitHub.

A simple "DBMS" based on flat files and commands like "SQL"

Support

Quality

Security

License

Reuse

Support

SQLike has a low active ecosystem.

It has 9 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of SQLike is current.

Quality

SQLike has no bugs reported.

Security

SQLike has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

SQLike 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.

Reuse

SQLike releases are not available. You will need to build from source code and install.

SQLike has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed SQLike and discovered the below as its top functions. This is intended to give you an instant insight into SQLike implemented functionality, and help decide if they suit your requirements.

Generate a select column .
Update data in a table .
Parse command .
Process a WHERE condition list .
Deletes data from a table .
Insert a single row
Write a file line to filename .
Receive data from incoming connection .
Write a file .
Start the TCP socket .

Get all kandi verified functions for this library.

SQLike Key Features

No Key Features are available at this moment for SQLike.

SQLike Examples and Code Snippets

No Code Snippets are available at this moment for SQLike.

Community Discussions

Trending Discussions on SQLike

How to use Asyncio module in migrate database from Sqlite to Postgres?

How can I use concurrency to migrate database in Python?

QUESTION

How to use Asyncio module in migrate database from Sqlite to Postgres?

Asked 2020-Feb-02 at 00:48

I have a script to migrate database from Sqlite to Postgres. My original scipt works, but when I try to use Asyncio to speed up program, my new code even running slower than the original a few seconds. The transfer speed of tables is very slow. Can anyone suggest to me, where am I wrong ?

My original code :

...

ANSWER

Answered 2020-Feb-02 at 00:48

If both databases located on a same computer, asyncio won't speedup a process: there's no network overhead to parallelize. Quite opposite: overhead for using coroutines will make program a bit slower.

Please, read this answer for detailed explanation.

Source https://stackoverflow.com/questions/60018305

QUESTION

How can I use concurrency to migrate database in Python?

Asked 2020-Jan-30 at 07:42

I have a script used to migrate data from SQLite to Postgres. I just use a for loop to transfer tables one by one. Now, I want to experiment with transfering multiple tables in concurrency using threads, multiprocessing or asyncio to speed up the program to compare the runtimes between those ways. How do you do one of those ways?

Here is my script:

...

ANSWER

Answered 2020-Jan-30 at 05:15

You should put the inner of for table in tabnames into a function, say copyTable. Then you're able to use the multiprocessing package to parallelize your code. It should look something like this:

Source https://stackoverflow.com/questions/59979288

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

Vulnerabilities

No vulnerabilities reported

Install SQLike

You can download it from GitHub.
You can use SQLike 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 .

Find more information at: