A very simple ORM for relational, NoSQL database, and simple maps. It is designed to work on browsers, so it doesn't use mirrors or annotations.
Run this command:
$ dart pub add entity
$ flutter pub add entity
This will add a line like this to your package's pubspec.yaml (and run an implicit dart pub get):
dependencies: entity: ^2.0.1
Alternatively, your editor might support dart pub get or flutter pub get. Check the docs for your editor to learn more.
Now in your Dart code, you can use:
Official Website: https://github.com/rikulo/entity
Posted on September 25, 2020 by Dean Conally | Updated: October 8, 2020
Category: Tutorials | Tags: Cassandra, Columns, Database, Database Management, Database Structure, DB2, Document Stores, Dynamic Schema, Extensible Record Stores, Graph Stores, JSON, Key-Value, MSSQL, Multi-Row, MySQL, Node, Node Relationship Node, Non-Relational Databases, NoSQL, NoSQL Model, Query, Rows, Scalability, Schema Free, SQL, Stores, Tables, Wide-Column
Reading Time: 5 minutes
A NoSQL or a NoSQL Database is a term used when referring to a “non SQL” or “not only SQL” database. NoSQL databases store data in a different format than a traditional relational database management systems. This is why NoSQL is often associated with the term “non-relational” database. Simply put, NoSQL databases are modern databases with high flexibility, blazing performance, and built for scalability. These databases are used when you require low latency and high extensibility while working with large data structures. The versatility of NoSQL is due to the nature of as being unrestricted in comparison to relational databases models such as MySQL or DB2.
There are multiple differences between SQL and NoSQL database types. In the table below, we will compare some of the most critical variations.
#tutorials #cassandra #columns #database #database management #database structure #db2 #document stores #dynamic schema #extensible record stores #graph stores #json #key-value #mssql #multi-row #mysql #node #node relationship node #non-relational databases #nosql #nosql model #query #rows #scalability #schema free #sql #stores #tables #wide-column
Define: SQL [pron. “sequel”] – stands for Structured Query Language (SQL), used by databases to model and manage tabular/relational datasets; a set of standardized Data Definition Language (DDL) functions to create tables, views, and define relational schema models, and Data Manipulation Language (DML) to query, insert, and modify data in the tables.
*Read-only select queries are technically part of its Data Query Language (DQL) group. Still, operationally, many refer to it as DML because it can do more than read-only queries.
#sql #database #relational-database #nosql #json #sql-database #database-administration #databases-best-practices
A simple Boilerplate to Setup Authentication using Django-allauth, with a custom template for login and registration using
# clone the repo $ git clone https://github.com/yezz123/Django-Authentication # move to the project folder $ cd Django-Authentication
virtual environmentfor this project:
# creating pipenv environment for python 3 $ virtualenv venv # activating the pipenv environment $ cd venv/bin #windows environment you activate from Scripts folder # if you have multiple python 3 versions installed then $ source ./activate
SECRET_KEY = #random string DEBUG = #True or False ALLOWED_HOSTS = #localhost DATABASE_NAME = #database name (You can just use the default if you want to use SQLite) DATABASE_USER = #database user for postgres DATABASE_PASSWORD = #database password for postgres DATABASE_HOST = #database host for postgres DATABASE_PORT = #database port for postgres ACCOUNT_EMAIL_VERIFICATION = #mandatory or optional EMAIL_BACKEND = #email backend EMAIL_HOST = #email host EMAIL_HOST_PASSWORD = #email host password EMAIL_USE_TLS = # if your email use tls EMAIL_PORT = #email port
change all the environment variables in the
.env.sampleand don't forget to rename it to
After Setup the environment, you can run the project using the
Makefile provided in the project folder.
help: @echo "Targets:" @echo " make install" #install requirements @echo " make makemigrations" #prepare migrations @echo " make migrations" #migrate database @echo " make createsuperuser" #create superuser @echo " make run_server" #run the server @echo " make lint" #lint the code using black @echo " make test" #run the tests using Pytest
Includes preconfigured packages to kick start Django-Authentication by just setting appropriate configuration.
|django-allauth||Integrated set of Django applications addressing authentication, registration, account management as well as 3rd party (social) account authentication.|
|django-crispy-forms||django-crispy-forms provides you with a |
Source Code: https://github.com/yezz123/Django-Authentication
License: MIT License
Reading about the death of the relational database seems like a regular occurrence. However, here we are in 2021, and the relational data store is going strong. If we look at the DB-Engines Ranking website, six of the top 10, including the top four spots, are all relational data stores. Evidently, structured, or relational, data storage is here to stay. Yet four of the top spots are held by non-relational engines. Could that mean that relational data storage is really dying?
The core of this question is not really which kind of data store is better between a relational, normalized structure or a non-relational, denormalized storage mechanism. No, the real core question is: What kind of data store should your organization be using in 2021?
The shortest possible way I can answer this question is as follows:
All of them.
The fact is, you’re much better off not trying to answer your data needs with one, single methodology. Let’s discuss why.
#nosql #sql #data storage #relational database #data consistency #relational data #structured data #non-relational database #data stores #database choice
If we have a look at available databases, we see a clear line, drawn in the middle. On one side, relational systems like MySQL, PostgreSQL, or SQLite. On the other side, non-relational ones like MongoDB or Neo4j. In this article you will learn the difference between them and which ones, you should use when!
#engineering #database #nosql #coding #sql #relational vs non-relational databases