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RealTime CDC From MySQL Using AWS MSK With Debezium

Credit: AWS

CDC is becoming more popular nowadays. Many organizations that want to build a realtime/near realtime data pipe and reports are using the CDC as a backbone to powering their real-time reports. Debezium is an opensource product from RedHat and it supports multiple databases (both SQL and NoSQL). Apache Kafka is the core of this.

Managing and scaling Kafka clusters is not easy for everyone. If you are using AWS for your infra then let AWS manage the cluster. AWS has MSK is a managed Kafka service. We are going to configure Debezium with AWS MSK.

Configuration File:

If you are already worked with AWS MSK, then you might be familiar with this configuration file. This is similar to the RDS Parameter group but here you need to upload a with your parameter name and its value. If you are using MSK for the first time, then it’ll make you a bit confused. No worries, I’ll give you the steps to do …

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Build Production Grade Dedezium Cluster With Confluent Kafka

We are living in the DataLake world. Now almost every oraganization wants their reporting in Near Real Time. Kafka is of the best streaming platform for realtime reporting. Based on the Kafka connector, RedHat designed the Debezium which is an OpenSource product and high recommended for real time CDC from transnational databases. I referred many blogs to setup this cluster. But I found just basic installation steps. So I setup this cluster for AWS with Production grade and publishing this blog.

A shot intro:

Debezium is a set of distributed services to capture changes in your databases so that your applications can see those changes and respond to them. Debezium records all row-level changes within each database table in a change event stream, and applications simply read these streams to see the change events in the same order in which they occurred.

Basic Tech Terms:

  • Kafka …
[Read more]
Build Production Grade Debezium Cluster With Confluent Kafka

We are living in the DataLake world. Now almost every organizations wants their reporting in Near Real Time. Kafka is of the best streaming platform for realtime reporting. Based on the Kafka connector, RedHat designed the Debezium which is an OpenSource product and high recommended for real time CDC from transnational databases. I referred many blogs to setup this cluster. But I found just basic installation steps. So I setup this cluster for AWS with Production grade and publishing this blog.

A shot intro:

Debezium is a set of distributed services to capture changes in your databases so that your applications can see those changes and respond to them. Debezium records all row-level changes within each database table in a change event stream, and applications simply read these streams to see the change events in the same order in which they occurred.

Basic Tech Terms:

  • Kafka …
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Maximizing Database Query Efficiency for MySQL - Part One

Slow queries, inefficient queries, or long running queries are problems that regularly plague DBA's. They are always ubiquitous, yet are an inevitable part of life for anyone responsible for managing a database. 

Poor database design can affect the efficiency of the query and its performance. Lack of knowledge or improper use of function calls, stored procedures, or routines can also cause database performance degradation and can even harm the entire MySQL database cluster

For a master-slave replication, a very common cause of these issues are tables which lack primary or secondary indexes. This causes slave lag which can last for a very long time (in a worse case scenario).

In this two-part series blog, we'll give you a refresher course on how to tackle the maximizing of your database queries in …

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Give Love to Your SSDs – Reduce innodb_io_capacity_max!

The innodb_io_capacity and innodb_io_capacity_max are often misunderstood InnoDB parameters. As consultants, we see, at least every month, people setting this variable based on the top IO write specifications of their storage. Is this a correct choice? Is it an optimal value for performance? What about the SSD/Flash wear leveling?

Innodb_io_capacity 101

Let’s begin with what the manual has to say about innodb_io_capacity:

The innodb_io_capacity variable defines the number of I/O operations per second (IOPS) available to InnoDB background tasks, such as flushing pages from the buffer pool and merging data from the change buffer.

What does this mean exactly? …

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DBLog: A Generic Change-Data-Capture Framework

Andreas Andreakis, Ioannis Papapanagiotou

Overview

Change-Data-Capture (CDC) allows capturing committed changes from a database in real-time and propagating those changes to downstream consumers [1][2]. CDC is becoming increasingly popular for use cases that require keeping multiple heterogeneous datastores in sync (like MySQL and ElasticSearch) and addresses challenges that exist with traditional techniques like dual-writes and distributed transactions [3][4].

In databases like MySQL and PostgreSQL, transaction logs are the source of CDC events. As transaction logs typically have limited retention, they aren’t guaranteed to contain the full history of changes. Therefore, dumps are needed to capture the full state of a source. There are several open source CDC projects, …

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Sensitive Data Cleaning with MasKING

Wow !!! Its easy too restore sensitive data without any fear !!!

Its really tough sometimes , we restored the sensitive data without knowing and test mails triggered to customer as $100 deducted from your account for purchase . Its strange scenario when we missed to cleansing the customer data in DEV Sandbox !!!

Yes MasKING sensitive / Credential is easy now !!! Reference : https://github.com/kibitan/masking

Just tried simple practice for masking the paymentdb table data with masking , Its working as expected

Step 1 : Installed latest Ruby version and masking using below commands . Before doing install , update the server with latest packages

rvm install ruby-2.6.3
gem install masking

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MySQL 8.0 & PHP

See some update at the end: 23 Dec 2019

MySQL and PHP is a love story that started long time ago. However the love story with MySQL 8.0 was a bit slower to start… but don’t worry it rules now !

The support of MySQL 8.0’s new default authentication method in PHP took some time and was added in PHP 7.2.8 but removed in PHP 7.2.11.

Now it’s fully supported in PHP 7.4 !

If you have installed PHP 7.4, you can see that the new plugin auth_plugin_caching_sha2_passwordis now available:

# php -i | grep "Loaded plugins\|PHP Version " | tail -n2
PHP Warning:  Module 'mysql_xdevapi' already loaded in Unknown on line 0
PHP Version => 7.4.0
Loaded plugins => mysqlnd,debug_trace,auth_plugin_mysql_native_password, …
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Angular 9 CRUD Tutorial: Consume a Python/Django CRUD REST API

Angular 9 is in pre-release! Read about its new features in this article and how to update to the latest Angular version in this article.

You can also get our Angular 8 book for free or pay what you can.

This tutorial is designed for developers that want to use Angular 9 to build front-end apps for their back-end REST APIs. You can either use Python & Django as the backend or use JSON-Server to mock the API if you don't want to deal with Python. We'll be showing both ways in this tutorial.

Check out the other parts of this tutorial:

Adding Routing Building Navigation UI Using Angular Material 8

This tutorial deals with REST APIs and routing but you can also start with basic concepts by following this tutorial (part 1 and part 2) instead which you'll build a simple calculator.

If you would like to consume a third-party REST API instead of building your own API, make to check out this tutorial. …

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Angular 9/8 Tutorial By Example: REST CRUD APIs & HTTP GET Requests with HttpClient

In this Angular 9 tutorial, we'll learn to build an Angular 9 CRUD example application going through all the required steps from creating/simulating a REST API, scaffolding a new project, setting up the essential APIs, and finally building and deploying your final application to the cloud.

We'll learn by example how to send GET requests with URL query strings and parameters and process HTTP responses from REST API servers in your Angular 9/8 application using Httplient for fetching and consuming JSON data, how to do error handling for HTTP errors using the RxJS throwError() and catchError() operators, how to retry failed HTTP requests in poor network connections and cancel pending requests using the RxJS retry() and takeUntil() operators, and finally how to deploy the application to Firebase hosting using the latest Angular 8.3+ features. We'll also see how to use Angular services and RxJS Observables, and learn how to set up Angular …

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