sqlitebiter | CLI tool to convert CSV | CSV Processing library

by thombashi Python Version: 0.36.3 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | sqlitebiter Summary

sqlitebiter is a Python library typically used in Utilities, CSV Processing, Pandas applications. sqlitebiter has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install sqlitebiter' or download it from GitHub, PyPI.

A CLI tool to convert CSV / Excel / HTML / JSON / Jupyter Notebook / LDJSON / LTSV / Markdown / SQLite / SSV / TSV / Google-Sheets to a SQLite database file.

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Quality

Security

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Support

sqlitebiter has a low active ecosystem.

It has 762 star(s) with 53 fork(s). There are 27 watchers for this library.

There were 1 major release(s) in the last 6 months.

There are 7 open issues and 45 have been closed. On average issues are closed in 32 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of sqlitebiter is 0.36.3

Quality

sqlitebiter has 0 bugs and 0 code smells.

Security

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

sqlitebiter code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

sqlitebiter 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

sqlitebiter releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

sqlitebiter saves you 1643 person hours of effort in developing the same functionality from scratch.

It has 3652 lines of code, 178 functions and 39 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Create a file
Write completion message
Create a database
Finalizes the database
Get a URL
Convert ipynb to ipynb
Load an IPynb URL
Check if url is a valid ipynb URL
Manage stdin
Convert the given text into SourceInfo
Load ipynb formatted text
Return source info base
Gets data from Google sheets
Convert to Google sheets table
Write some example examples
Implements database
Convert the table to a set of table names
Convert kwargs to kwargs
Returns the log header for the given info_name
Make a table name from a list of names
Fetches the checksum of the SQLite database
Return the release command class
Convert the table to a set of changed tables
Convert a cell
Convert the output data to table
Return a log header

Get all kandi verified functions for this library.

sqlitebiter Key Features

No Key Features are available at this moment for sqlitebiter.

sqlitebiter Examples and Code Snippets

No Code Snippets are available at this moment for sqlitebiter.

Community Discussions

Trending Discussions on sqlitebiter

Converting JSON file to SQLITE or CSV

QUESTION

Converting JSON file to SQLITE or CSV

Asked 2018-Feb-19 at 10:32

I'm attempting to convert a JSON file to an SQLite or CSV file so that I can manipulate the data with python. Here is where the data is housed: JSON File.

I found a few converters online, but those couldn't handle the quite large JSON file I was working with. I tried using a python module called sqlbiter but again, like the others, was never really able to output or convert the file.

I'm not. sure where to go now, if anyone has any recommendations or insights on how to get this data into a database, I'd really appreciate it.

Thanks in advance!

EDIT: I'm not looking for anyone to do it for me, I just need to be pointed in the right direction. Are there other methods I haven't tried that I could learn?

...

ANSWER

Answered 2018-Feb-07 at 15:01

You need to load your json file and parse it to have all the fields available, or load the contents to a dictionary, then you could using pyodbc to write to the database these fields, or write them to the csv if you use import csv first. But this is just a general idea. You need to study python and how to do every step.

For instance for writting to the database you could do something like: for i in range(0,max_len): sql_order = "UPDATE MYTABLE SET MYTABLE.MYFIELD ...." cursor1.execute(sql_order) cursor1.commit()

Source https://stackoverflow.com/questions/48666671

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

Vulnerabilities

No vulnerabilities reported

Install sqlitebiter

You can install using 'pip install sqlitebiter' or download it from GitHub, PyPI.
You can use sqlitebiter 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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