MariaDB ColumnStore Hardware Guide

Overview

MariaDB ColumnStore is designed for analytical workloads and scales linearly with hardware resources. While the performance generally improves with more CPU cores, memory, and servers, understanding the minimum hardware specifications is crucial for successful deployment, especially in development and production environments.

MariaDB ColumnStore's performance directly benefits from additional hardware resources:

• More CPU cores enable greater parallel processing, improving query processing time.

• More memory allows for more data caching (reducing I/O), and more servers enable a larger distributed architecture.

• HDDs vs. SSDs: SSDs don't deliver as much benefit as you might assume because ColumnStore is optimized towards block streaming, which usually performs well enough on HDDs.

• Bare metal vs. virtual servers: Bare metal servers are recommended — they provide additional performance because ColumnStore can fully consume CPU cores and memory.

Minimum Hardware Recommendations

The specifications differentiate between a basic development environment and a production-ready setup:

For Development Environments

• CPU: A minimum of 8 CPU cores.

• Memory (RAM): A minimum of 32 GB.

• Storage: Local disk storage is acceptable for development purposes.

For Production Environments

• CPU: A minimum of 64 CPU cores.

  • This recommendation underscores the highly parallel nature of ColumnStore, which can effectively utilize a large number of cores for analytical processing.

• Memory (RAM): A minimum of 128 GB.

Network Interconnectivity

Network interconnectivity plays a role for multi-server deployments.

• Minimum Network: A minimum of a 1 Gigabit (1G) network is recommended.

  • This facilitates efficient data transfer between nodes via TCP/IP for replication and query processing across the distributed architecture. For optimal performance in heavy-load scenarios, higher bandwidth (for instance, 10G or more) is highly beneficial.

Adhering to these minimum specifications will provide a baseline for ColumnStore functionality. For specific workload requirements, it's always advisable to conduct performance testing and scale hardware accordingly.

AWS Instance Sizes

For AWS, ColumnStore internal testing generally uses m4.4xlarge instance types as a cost-effective middle ground. The R4.8xlarge has also been tested, and performs about twice as fast for about twice the price.

See Also