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Unfortunately, the performance in benchmarks is almost the same as for 4KB pages. Please check out the Why Linux HugePages are Super Important for Database Servers: A Case with PostgreSQL blog post for more information. Setup I recommend starting with 2MB huge pages because it’s trivial to set up. It’s easy with anydbver and k3d.
The key findings of the article were as follows: This server had a HammerDB benchmark running against it. But why are we running a COPY operation during a benchmark anyway? So this COPY statement is coming from the schema build phase and not the HammerDB benchmark workload at all. and start the build running.
This enables the user to compare and contrast performance across different benchmark scenarios. shared_preload_libraries = 'pg_stat_statements,pgsentinel' track_activity_query_size=2048 pg_stat_statements.save=on pg_stat_statements.track=all pgsentinel_pgssh.enable = true pgsentinel_ash.pull_frequency = 1 pgsentinel_ash.max_entries = 1000000.
MySQL router, after the 2048 connection, could not serve anything more. As you can see, and as I was expecting, the three Proxies were behaving more or less the same, serving the same number of operations (they were capped, so why not) until they weren’t. That allows it to go a bit further.
Why do we tend to use 1MB IO sizes for throughput benchmarking? 8 Sectors = 4KB 128 Sectors = 64KB 1024 Sectors = 512KB 2048 Sectors = 1024KB (1MB). First things First. CDC 9762 SMD disk drive from 1974. Normally this is reported in “sectors” which are 512bytes in size. Using iostat.
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