Add ClickHouse result for c7i.4xlarge - #1161
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Run on an AWS c7i.4xlarge (16 vCPU Intel Xeon Platinum 8488C, 30 GiB RAM) with a 500 GB gp2 root volume, Ubuntu 24.04, us-west-2, matching the reference environment from cloud-init.sh.in (16 GB swapfile, earlyoom). The scripts in clickhouse/ were used unmodified. Cold runs are true cold runs: the server is restarted and the page cache dropped before the first run of each query, as done by lib/benchmark-common.sh. Load time 248 s, data size 15267844939 bytes (99,997,497 rows).
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Member
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What is the point? |
Author
I do not see any Intel-based results (I work for Intel). Only ARM and AMD. It is a hardware configuration that is missing. I would like to contribute for completeness. If you think there is a better/different way - please let me know. |
Member
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Let's add it here: https://benchmark.clickhouse.com/hardware/ |
Author
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Thanks @alexey-milovidov - I see a number of different platforms evaluated there. I will see if I can contribute something meaningful there. ( still learning - thank you) |
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Adds a ClickHouse result for a new hardware configuration: AWS c7i.4xlarge (16 vCPU Intel Xeon Platinum 8488C, 30 GiB RAM), 500 GB gp2 root volume, Ubuntu 24.04.4, us-west-2d.
The environment matches cloud-init.sh.in: 16 GB swapfile, earlyoom enabled. The scripts in clickhouse/ were used unmodified — install, start, check, stop, load, query and data-size all as committed, driven by lib/benchmark-common.sh. ClickHouse version 26.8.1.440.
Cold runs are true cold runs: the server is stopped, the page cache dropped via drop_caches, and the server restarted before the first run of each query, so no lukewarm-cold-run tag applies.
metric c7i.4xlarge c6a.4xlarge (same date)
load_time 248 s 285 s
data_size 15,267,844,939 15,267,511,633
concurrent_qps 0.595 0.927
concurrent_error_ratio 0.707 0.578
Loaded 99,997,497 rows. ./validate-results.py . passes with no warnings for this file.
The run was operator-driven rather than launched through run-benchmark.sh, since that script provisions instances via the EC2 API.