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Displaying posts with tag: cloud (reset)
Database Objects migration to RDS/ Aurora (AWS)

The world of application and its related services are migrating more towards cloud, because of availability, Elasticity, Manageability etc. While moving the entire stack we need to be very cautious while migrating the database part.

Migration of DB servers is not a simple lift and shift operation, Rather it would require a proper planning and more cautious in maintaining data consistency with existing DB server and cloud server by means of native replication or by using any third party tools.

The best way to migrate the existing MySQL database to RDS, in my opinion, is by using “logical backup“. Some of the logical backup tools as below,

Mysqldump — single threaded (widely used)

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MySQL to Amazon Redshift Replication.

In our work, We used to get a lot of requirements for replicating data from one data source to another. Our team provided solutions to replicate data from MySQL to Vertica, Amazon Redshift, Hadoop. Out of which Amazon Redshift replication is a bit complicated as Amazon Redshift is a Database as a service (DBaaS) and the process is not straightforward.

So, I take this opportunity to guide on how to replicate the specific set of tables from MySQL to AWS Redshift using Tungsten replicator.

1.0. Tungsten Replicator:

Tungsten Replicator is an open source replication engine supports data extract from MySQL, MySQL Variants such as RDS, Percona Server, MariaDB and Oracle and allows the data extracted to be applied on other data sources such as Vertica, Cassandra, …

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Log Buffer #548: A Carnival of the Vanities for DBAs

This Log Buffer Edition covers blog posts from Cloud, Oracle, and MySQL.

Cloud:

Google Stackdriver lets you track your cloud-powered applications with monitoring, logging and diagnostics. Using Stackdriver to monitor Google Cloud Platform (GCP) or Amazon Web Services (AWS) projects has many advantages—you can get detailed performance data and can set up tailored alerts.

This post is courtesy of Sam Dengler, AWS Solutions Architect. Message brokers can be used to solve a number of needs in enterprise architectures, including managing workload queues and broadcasting messages to a number of subscribers.

New Cloud …

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Log Buffer #547: A Carnival of the Vanities for DBAs

This Log Buffer edition covers Oracle, SQL Server and MySQL.

Cloud:

What DBAs need to know about Cloud Spanner, Part 1: Keys and indexes

Introducing sole-tenant nodes for Google Compute Engine — when sharing isn’t an option

A serverless solution for invoking AWS Lambda at a sub-minute frequency

Amazon Aurora MySQL DBA Handbook – …

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MySQL Cluster 7.6GA in the Cloud: the RPM/YUM platform

In this series of blogs I will do my best to demonstrate how to set up and run Cluster in Cloud environment by hand and by utilizing MCC. For detailed configuration, I will use MCC (Auto-installer). Some of the information regarding this setup is provided in post by Mikael. Information regarding Auto-installer is available in our documentation, HTML help files in share/MCC distribution directory and in my blog post.

Cloud setupIt might come as surprise but for initial testing any instance should do. I started with 1CPU/1GB RAM ones. The target topology was:

  • Host #1: Management node and Cluster client tools.
  • Host #2: Multi-threaded DATA node. …
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MySQL Shell for MySQL 8.0: your best friends in the cloud !

MySQL 8.0.11 seems to be around the corner and the new MySQL Shell will take advantage of all the new improvements made in MySQL 8.0 like SET PERSIST, RESTART, … see this previous post.

In the video below, I show you how easy it’s to deploy a MySQL InnoDB Cluster using the Shell that connects remotely to all the instances:

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ProxySQL behind a load balancer in Google Cloud

Introduction

In this article we will explore one approach for deploying ProxySQL behind a load balancer in Google Cloud.

While considering the deployment of ProxySQL, one has basically the following options:

  1. Install ProxySQL on existing application server(s)
  2. Provision dedicated ProxySQL server(s) between your application servers and the database layer.

Each approach has its pros and cons, but if there’s a significant number of application servers (more than a dozen or so) having a dedicated ProxySQL “layer” can be a more attractive option, specially if there is no service discovery mechanism in place (e.g. Consul).

Let’s consider a simple scenario, with a master and a small number of slaves in a single geographic region. Assuming that you are following the best practice, your database servers should be split into different availability zones. So for ProxySQL, it also …

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Reading Amazon RDS MySQL/Aurora log file from terminal.

Introduction:

At Mydbops we support a good number of clients on AWS cloud (Aurora and RDS).

Amazon Relational Database Service (RDS) is providing the cloud based database service. It is the cost-efficient, resize able & ease to manage. As in any other DBaaS, If you need to analyse the log files (Error log / Slow log), you need to login the console and manually download the files.

Logging into the console seems simple, But this is a bit complex operation when it comes to incorporate that in a day to day operation and automation. In this blog i would like to share my experience in making this into a straightforward process for downloading the log files directly from command line without console GUI.

Prerequisites:

Following tools are to be installed for this operation.

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How to Enable Binary Logging on an Amazon RDS Read Replica

One of the more common struggles I’ve had to assist with in regard to Amazon RDS is enabling binary logging on read replicas, or forming multi-tier replication in instances using version 5.6 or later after seeing that multi-tier replication is not supported in version 5.5 (for a reason that will become clear by the end of this post.)

First off, let’s have a look at the topology that I have in place in my AWS account. As you’ll see below I have a master, blog1, and a read replica that I created via the AWS console called blog2. You’ll also notice that, despite being supported, if I select instance actions while having blog2 highlighted the option to create a read replica is grayed out.

Further, if we use the MySQL CLI to connect to blog2 and check the global variables for log_bin and binlog_format, you’ll see that binary logging is off and binlog_format is set to statement. This is strange considering that the parameter …

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Aurora Hash Join Optimization (with a Gentle Reminder on Lab Features)

The Aurora hash join feature for relational databases has been around for a while now. But unlike MySQL Block Nested Loop algorithm, an Aurora hash join only caters to a specific number of use cases. When implemented with the optimizer properly, they can provide great benefits with certain workloads. Below we’ll see a brief example of a quick win.

This new feature is available in Aurora lab mode version 1.16. Because this is a lab feature, it’s important to make sure to test your queries before upgrading, especially if you are looking to scale up to the new R4 instances before the Superbowl to avoid hitting the same problem I discuss below.

When lab mode is enabled and

hash_join

  is ON, you can verify the optimizer feature from the

optimizer_switch

 variable: …

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