How we configure huge pages in ClickHouse Managed Postgres
Blog post from ClickHouse
Huge pages, which are larger units of memory allocation compared to the standard 4KB pages, play a significant role in optimizing memory management for Postgres by reducing the overhead associated with page-table entries in the CPU's translation lookaside buffer (TLB). Postgres is particularly sensitive to page size due to its shared_buffers cache, which, when mapped by each backend process, can lead to significant memory consumption for page tables if standard pages are used. By utilizing 2MB huge pages, Postgres can dramatically decrease the memory required for page tables, thereby enhancing performance by keeping more of the hot working set in the TLB and reducing the need for page-table walks. Implementing huge pages involves reserving them early, ensuring Postgres refuses to start without them, and correctly sizing shared_buffers to fit within the reserved huge pages pool. This approach is particularly beneficial in environments like ClickHouse Managed Postgres, where it results in more efficient memory usage and increased throughput, as demonstrated in tests comparing the performance impact of 4KB versus 2MB pages. By accommodating huge pages, Postgres turns the shared_buffers cache from a per-connection page-table tax into a flat, translation-friendly cache, offering improved performance and stability for applications that require scalable data processing.
No tracked trend matches for this post yet.
Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.