Thursday, August 5, 2021

Datafuse – Modern Real-Time Data Processing in Rust

SELECT avg(number) FROM numbers_mt(100000000000) 4.35 s.
(22.97 billion rows/s., 183.91 GB/s.)
×1.4 slow, (6.04 s.)
(16.57 billion rows/s., 132.52 GB/s.)
SELECT sum(number) FROM numbers_mt(100000000000) 4.20 s.
(23.79 billion rows/s., 190.50 GB/s.)
×1.4 slow, (5.90 s.)
(16.95 billion rows/s., 135.62 GB/s.)
SELECT min(number) FROM numbers_mt(100000000000) 4.92 s.
(20.31 billion rows/s., 162.64 GB/s.)
×2.7 slow, (13.05 s.)
(7.66 billion rows/s., 61.26 GB/s.)
SELECT max(number) FROM numbers_mt(100000000000) 4.77 s.
(20.95 billion rows/s., 167.78 GB/s.)
×3.0 slow, (14.07 s.)
(7.11 billion rows/s., 56.86 GB/s.)
SELECT count(number) FROM numbers_mt(100000000000) 2.91 s.
(34.33 billion rows/s., 274.90 GB/s.)
×1.3 slow, (3.71 s.)
(26.93 billion rows/s., 215.43 GB/s.)
SELECT sum(number+number+number) FROM numbers_mt(100000000000) 19.83 s.
(5.04 billion rows/s., 40.37 GB/s.)
×12.1 slow, (233.71 s.)
(427.87 million rows/s., 3.42 GB/s.)
SELECT sum(number) / count(number) FROM numbers_mt(100000000000) 3.90 s.
(25.62 billion rows/s., 205.13 GB/s.)
×2.5 slow, (9.70 s.)
(10.31 billion rows/s., 82.52 GB/s.)
SELECT sum(number) / count(number), max(number), min(number) FROM numbers_mt(100000000000) 8.28 s.
(12.07 billion rows/s., 96.66 GB/s.)
×4.0 slow, (32.87 s.)
(3.04 billion rows/s., 24.34 GB/s.)
SELECT number FROM numbers_mt(10000000000) ORDER BY number DESC LIMIT 100 4.80 s.
(2.08 billion rows/s., 16.67 GB/s.)
×2.9 slow, (13.95 s.)
(716.62 million rows/s., 5.73 GB/s.)
SELECT max(number), sum(number) FROM numbers_mt(1000000000) GROUP BY number % 3, number % 4, number % 5 6.31 s.
(158.49 million rows/s., 1.27 GB/s.)
×1.02 fast, (6.18 s.)
(161.84 million rows/s., 1.29 GB/s.)


from Hacker News https://ift.tt/32KrccS

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