Transactional integration Kafka with database

Introduction

More and more projects are now choosing Kafka as their messaging infrastructure. This technology’s choice is not always driven by the real need to handle vast amounts of data with linear scalability. We can often hear about Kafka’s application in the usual boring enterprise projects involving trivial document workflow management. The answering the question “why” in this case is not easy. Sometimes it can be caused by hype and impressive examples of Kafka’s usage in notable projects. In other cases, it may be inspired by the opportunity to experiment at the expense of the customer’s money, attracting him with advanced technologies.

#software-development #database #software-architecture #kafka #transactions

What is GEEK

Buddha Community

Transactional integration Kafka with database

Introduction

More and more projects are now choosing Kafka as their messaging infrastructure. This technology’s choice is not always driven by the real need to handle vast amounts of data with linear scalability. We can often hear about Kafka’s application in the usual boring enterprise projects involving trivial document workflow management. The answering the question “why” in this case is not easy. Sometimes it can be caused by hype and impressive examples of Kafka’s usage in notable projects. In other cases, it may be inspired by the opportunity to experiment at the expense of the customer’s money, attracting him with advanced technologies.

#software-development #database #software-architecture #kafka #transactions

System Databases in SQL Server

Introduction

In SSMS, we many of may noticed System Databases under the Database Folder. But how many of us knows its purpose?. In this article lets discuss about the System Databases in SQL Server.

System Database

Fig. 1 System Databases

There are five system databases, these databases are created while installing SQL Server.

• Master
• Model
• MSDB
• Tempdb
• Resource

Master

• This database contains all the System level Information in SQL Server. The Information in form of Meta data.
• Because of this master database, we are able to access the SQL Server (On premise SQL Server)

Model

• This database is used as a template for new databases.
• Whenever a new database is created, initially a copy of model database is what created as new database.

MSDB

• This database is where a service called SQL Server Agent stores its data.
• SQL server Agent is in charge of automation, which includes entities such as jobs, schedules, and alerts.

TempDB

• The Tempdb is where SQL Server stores temporary data such as work tables, sort space, row versioning information and etc.
• User can create their own version of temporary tables and those are stored in Tempdb.
• But this database is destroyed and recreated every time when we restart the instance of SQL Server.

Resource

• The resource database is a hidden, read only database that holds the definitions of all system objects.
• When we query system object in a database, they appear to reside in the sys schema of the local database, but in actually their definitions reside in the resource db.

#sql server #master system database #model system database #msdb system database #sql server system databases #ssms #system database #system databases in sql server #tempdb system database

Django-allauth: A simple Boilerplate to Setup Authentication

Django-Authentication 

A simple Boilerplate to Setup Authentication using Django-allauth, with a custom template for login and registration using django-crispy-forms.

Getting Started

Prerequisites

• Python 3.8.6 or higher

Project setup

# clone the repo
$ git clone https://github.com/yezz123/Django-Authentication

# move to the project folder
$ cd Django-Authentication

Creating virtual environment

• Create a virtual environment for 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

Configured Enviromment

Environment variables

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.sample and don't forget to rename it to .env.

Run the project

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

Preconfigured Packages

Includes preconfigured packages to kick start Django-Authentication by just setting appropriate configuration.

Package	Usage
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 crispy filter and {% crispy %} tag that will let you control the rendering behavior of your Django forms in a very elegant and DRY way.

Contributing

• Django-Authentication is a simple project, so you can contribute to it by just adding your code to the project to improve it.
• If you have any questions, please feel free to open an issue or create a pull request.

Download Details:
Author: yezz123
Source Code: https://github.com/yezz123/Django-Authentication
License: MIT License

#django #python 

Tips About Kafka Connect On Heroku You Can't Afford To Miss

Introduction

With ever-increasing demands from other business units, IT departments have to be constantly looking for service improvements and cost-saving opportunities. This article showcases several concrete use-cases for companies that are investigating or already using Kafka, in particular, Kafka Connect.

Kafka Connect is an enterprise-grade solution for integrating a plethora of applications, ranging from traditional databases to business applications like Salesforce and SAP. Possible integration scenarios range from continuously streaming events and data between applications to large-scale, configurable batch jobs that can be used to replace manual data transfers.

#kafka-connect #kafka #heroku #database #database-architecture #apache-kafka #tutorial #cluster

Kafka for XML Message Integration and Processing

XML messages and XML Schema are not very common in the Apache Kafka and Event Streaming world! Why? Many people call XML legacy. It is complex, verbose, and often associated with the ugly WS-* Hell (SOAP, WSDL, etc). On the other side, every company older than five years uses XML. It is well understood, provides a good structure, and is human- and machine-readable.

This post does not want to start another flame war between XML and other technologies such as JSON (which also provides JSON Schema now), Avro, or Protobuf. Instead, I will walk you through the three main approaches to integrate between Kafka and XML messages as there is still a vast demand for implementing this integration today (often for integrating legacy applications and middleware).

XML and XML Schema

Extensible Markup Language (XML) is a markup language that defines a set of rules for encoding documents in a format that is both human-readable and machine-readable. The World Wide Web Consortium’s XML 1.0 Specification of 1998 and several other related specifications — all of them free open standards — define XML.

The design goals of XML emphasize simplicity, generality, and usability across the Internet. It is a textual data format with strong support via Unicode for different human languages. Although the design of XML focuses on documents, the language is widely used for the representation of arbitrary data structures such as those used in web services. Several schema systems exist to aid in defining XML-based languages, while programmers have developed many application programming interfaces (APIs) to assist the processing of XML data.

#open source #big data #integration #xml #json #kafka #middleware #event streaming #kafka connect platform #kafka connectors