In this blog, we will discuss about how to setup MySQL NDB Cluster replication in a more secure way with the help of binary log and relay log encryption and a secure connection. These measures protect binary log dat in transit and at rest.

Let’s create two MySQL NDB Clusters with the following environment, Here, one will be termed as ‘source’ cluster and the other one will be termed as ‘replica’ cluster.

• MySQL NDB Cluster version (Latest GA version)
• 1 Management node
• 4 Data nodes
• 1 MySQLDs
• Configuration slots for up to 4 additional API nodes

Step 1: Start both of the Clusters

Let’s start both the source cluster and replica cluster but do not start the MySQLD servers from both the clusters as we want to modify their configuration first.
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In this blog, we will discuss about how to scale out MySQL NDB Cluster in few easy steps. The use cases could be, when user business applications demand massive expansion and the existing cluster may not able to handle the request in that case a cluster scaling is needed. This is an online procedure i.e. zero cluster downtime so that user’s business won’t affect while this scaling process is going on.

In the below demo, we will see, how to scale from a 4 nodes cluster to 8 nodes cluster while transactions are going on.

Let’s create a MySQL NDB Cluster with the following environment.

• MySQL NDB Cluster version (Latest GA version)
• 1 Management node
• 4 Data nodes
• 1 MySQLDs
• Configuration slots for up to 4 additional API nodes

Step 1: Let's start the Cluster

Let’s start a 4 nodes cluster.
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In this blog, we will discuss, how to setup MySQL NDB Cluster replication through backup and restore method. This is bit tricky but interesting. The scenario here is, say user have a standalone cluster up and running, later there is a need to have a replication setup with an another empty cluster without shutting down the existing running cluster i.e. zero downtime. Then this backup and restore method will come in handy.

Let’s create two MySQL NDB Cluster with the following environment, Here, one will be termed as ‘source’ cluster and the other one will be termed as ‘replica’ cluster.

• MySQL NDB Cluster version (Latest GA version)
• 1 Management Node
• 4 Data Nodes
• 1 MySQLDs
• Configuration slots for up to 4 additional API nodes

Replication schema diagram:
CLUSTER 'A'        …

In this blog, we will discuss about bidirectional replication between two NDB clusters. With this topology, user can do transaction simultaneously from both the clusters on the same database objects.

Let’s create two MySQL NDB Cluster with the following environment, Here, both will be termed as ‘source’ cluster as well as ‘replica’ cluster as we will do replication from both the sides.

• MySQL NDB Cluster version (Latest GA version)
• 1 Management node
• 4 Data nodes
• 2 MySQLDs
• Configuration slots for up to 4 additional API nodes

Replication schema diagram:

                    |-----------S1---------->>----------S3--------------|                   …

 In the 1990s I spent a few years studying requirements on databases used in 3G telecom networks. The main requirement was centered around three keywords, Latency, Throughput and Availability. In this blog post I will focus on Availability.

If a telecom database is down it means that no phone calls can be made, internet connections will not work and your app on your smartphone will cease to work. So more or less impacting each and everyone's life immediately.

The same requirements on databases now also start to appear in AI applications such as online Fraud detection, self-driving cars, smartphone apps.

Availability is measured in percent and for telecom databases the requirement is to reach 99.9999% availability. One often calls this Class 6 availability where 6 is the number of nines in the availability percentage.

Almost every database …

 As introduced in a previous blog RonDB enables us to easily execute benchmarks on RonDB using the Sysbench benchmark.

In this blog I will present some results where the RonDB cluster had 2 data nodes, each using a r5.4xlarge VM in AWS that has 16 VCPUs and 128 GB memory. The Sysbench test uses SQL to access RonDB.

In this particular test case we wanted to test the Key-Lookup performance using SQL. Key-Lookup performance is essential in the RonDB use case as an online Feature Store in Hopsworks.

In this case we use the …

In the previous blog, we were able to setup a MySQL NDB Cluster replication between one source and one replica cluster. In this blog, we will discuss about replication between one source and three replica clusters.

Note: With MySQL version (8.0.21), we have started changing the term “master” to “source”, the term “slave” to “replica”. So in this blog we will refer these terms ‘source’ and ‘replica’ wherever applicable.

The main advantage of this type of topology is good for giving ‘local’ reads in geographically distant areas as well as increased redundancy in case of issues.

Let’s create four MySQL NDB Cluster with the following environment, from which one will be termed as ‘source’ cluster while the rest will be ‘replica’ clusters.

• MySQL NDB Cluster version (Latest GA version)
• 1 Management node
• 4 Data nodes …

In this blog series, we will discuss various MySQL NDB Cluster replication topologies possible with a demonstration. We will start with a simple case i.e. one source (formerly called master) and one replica (formerly called slave).

Note: With MySQL version (8.0.21), we have started changing the term “master” to “source”, the term “slave” to “replica”. So in this blog we will refer these terms ‘source’ and ‘replica’ wherever applicable.

Let’s create two MySQL NDB Cluster with the following environment, from which one will be termed as ‘source’ cluster while the other one will be ‘replica’ cluster. For now, let’s stick to the identical environment from both the cluster. Later in the following blog series, we will change the environments and will run the replication.

• MySQL NDB Cluster version (Latest GA version)
• 1 Management node
• 4 Data nodes …

Introduction

In my previous two blogs on this topic I first introduced the concept of automatic thread configuration and the thread model we use in RonDB. After receiving some questions on the topic I dived a bit deeper into explaining the RonDB thread model and its thread pipeline and compared it to another similar concept called batch pipelines.

Since then I read up a bit more on the research in this area with a focus on implementations in other key-value stores. Some researchers argue that a model where one handles the request immediately is superior to a model using a thread pipeline.

RonDB Software …

Introduction

Sysbench is a tool to benchmark to test open source databases. We have integrated Sysbench into the RonDB installation. This makes it extremely easy to run benchmarks with RonDB. This paper will describe the use of these benchmarks in RonDB. These benchmarks were executed with 1 cluster connection per MySQL Server. This limited the scalability per MySQL Server to about 12 VCPUs. Since we executed those benchmarks we have increased the number of cluster connections per MySQL Server to 4 providing scalability to at least 32 VCPUs per MySQL Server.

As preparation to run those benchmarks we have created a RonDB cluster using the Hopsworks framework that is currently used to create …