Introduction

MySQL HeatWave is Oracle's fully managed database service that uniquely combines Online Transaction Processing (OLTP) and Online Analytical Processing (OLAP) workloads in a single platform. Built on MySQL Enterprise Edition, it delivers real-time analytics on transactional data without requiring ETL duplication to a separate analytics database.

DB System Architecture Overview

A MySQL HeatWave DB System consists of several key components:

Core Components

• Compute Instance: The foundational cloud-based compute resource
• MySQL Server: MySQL Enterprise Edition with advanced security features including encryption, data masking, authentication, and a database firewall
• Operating System: Oracle Linux OS
• Virtual Network Interface Card (VNIC): Enables network connectivity
• Block Storage: Persistent storage for data and transaction logs

Prerequisites for Deployment

Before creating a DB System, you need:

1. Tenancy: Your Oracle Cloud Infrastructure account
2. Compartment: Logical container for organizing resources
3. Policies: IAM policies for access control
4. Virtual Cloud Network (VCN): Network infrastructure for connectivity

DB System Provisioning

Shape Configuration

Shapes specify CPU, memory, and network bandwidth. As of 2024, you can provision MySQL HeatWave DB systems using ECPU shapes, which are architecture-agnostic. Shapes can be changed after deployment to scale your resources up or down based on workload demands.

Storage Capacity

Storage stores both data and logs and can be increased as your database grows. The system automatically manages storage allocation for optimal performance.

Endpoint Configuration

The endpoint comprises private IP addresses and port numbers that accept client connections. This provides secure, private connectivity to your database instance.

Data Security in HeatWave

MySQL HeatWave implements comprehensive security measures: data is encrypted and compressed both at rest and in transit. Client applications connect securely to the HeatWave DB System through encrypted channels.

Data Masking is commonly implemented for protecting sensitive information such as:

• Social Security Numbers (SSNs)
• Credit card numbers
• Phone numbers
• Personally Identifiable Information (PII)

High Availability Architecture

Standalone vs. High Availability DB Systems

A High Availability (HA) DB System provides enterprise-grade reliability through:

Three MySQL instances: one primary instance and two secondary instances, with all data written to the primary instance automatically copied to the secondary instances.

Distribution Across Availability Domains

The three instances are deployed across different availability domains (AD1, AD2, AD3) and fault domains. This geographic distribution ensures resilience against localized failures.

Automatic Failover Mechanism

In case the primary instance fails, MySQL HeatWave Service automatically promotes one of the secondary instances to function as the primary instance, resuming availability with no data loss.

Important Note: MySQL HeatWave uses MySQL Group Replication to replicate data from the primary to secondary instances over a secure, managed internal network.

HeatWave Cluster Architecture

Components and Features

The HeatWave cluster extends your DB System with powerful analytics capabilities:

• HeatWave Plugin: Manages cluster operations and query routing
• HeatWave Nodes: Store data in memory and process analytics queries, with each node containing an instance of HeatWave
• Data Loading: Tables are loaded from MySQL into the HeatWave cluster
• Query Offloading: Analytics queries are automatically offloaded to the cluster

Scalability

HeatWave's scale-out architecture enables massive parallelism, allowing the cluster to scale up to 512 nodes for provisioning, loading data, and processing queries.

Query Processing

MySQL HeatWave Cluster stores data in main memory using a hybrid columnar format that achieves the benefits of columnar processing while avoiding the materialization and update costs of pure columnar format.

Queries that meet specific prerequisites are automatically offloaded from the MySQL DB System to the HeatWave cluster for accelerated processing, with results returned to the client through the MySQL DB System.

HeatWave Storage Layer

The HeatWave Storage Layer is a critical component that provides data persistence and rapid recovery:

Key Features

Data loaded into MySQL HeatWave Cluster is automatically persisted to network-attached block storage, known as the MySQL HeatWave Storage Layer, which allows data to be reloaded quickly when the cluster resumes after a pause or recovers from a node or cluster failure.

Storage Layer Capabilities

1. Automated Persistence: Stores a copy of in-memory data automatically
2. Transparent Updates: Changes are propagated without manual intervention
3. Fast Recovery: Enables rapid restoration after failures
4. Data Reload: Supports efficient data restoration to memory
5. Automatic Expansion: On AWS, the storage layer is built on S3, allowing data to be reloaded to each MySQL HeatWave node independently and in parallel

Self-Managing Architecture

This automated, self-managing storage layer scales to the size required for your MySQL HeatWave Cluster and operates independently in the background.

HeatWave Lakehouse

MySQL HeatWave Lakehouse allows enterprises to process and query data across file formats such as CSV and Parquet, as well as Aurora and Redshift backups from AWS, even when data is not stored inside a MySQL database.

The Lakehouse capability enables organizations to:

• Query up to 400TB of data in object storage
• Combine OLTP data with data lake information
• Eliminate ETL complexity and costs
• Process structured, semi-structured, and unstructured data

Performance and Capabilities

AutoML Integration

MySQL HeatWave includes built-in machine learning capabilities through HeatWave AutoML, which:

• Automates model training and selection
• Eliminates the need for separate ML services
• Processes data in-database for security and performance

GenAI and Vector Store

Recent additions include:

• In-database Large Language Models (LLMs)
• Automated vector store for AI applications
• Natural language query capabilities
• Contextual conversations with your data

Performance Benchmarks

Oracle claims HeatWave provides 1,400x faster analytics performance than Amazon RDS Aurora and 6-7x faster than AWS Redshift and Snowflake, based on their benchmarks.

Multicloud Availability

MySQL HeatWave is available across multiple cloud platforms:

• Oracle Cloud Infrastructure (OCI): Native availability in all OCI regions
• Amazon Web Services (AWS): Native deployment within AWS
• Microsoft Azure: Available through Oracle Database Service for Azure

Best Practices

1. Enable High Availability: For production workloads requiring 99.99% uptime
2. Monitor Shape Performance: Use Autopilot Shape Advisor for optimization
3. Implement Data Masking: Protect sensitive information at the column level
4. Leverage Storage Layer: Trust automatic persistence for recovery scenarios
5. Plan Node Capacity: Use the Estimate Node Count feature for proper cluster sizing

Conclusion

MySQL HeatWave represents a significant advancement in database technology by unifying OLTP and OLAP workloads in a single, fully managed service. Its innovative architecture, featuring automated storage management, high availability, and integrated machine learning capabilities, makes it a compelling choice for organizations seeking to eliminate data duplication, reduce costs, and accelerate insights from their data.

For more detailed information, consult the official MySQL HeatWave documentation.