TPC-C

3 statements across 1 episodes · 2 bullish · 0 bearish · 1 people on the record · first statement Oct 17, 2018 by Spencer Kimball · said 5 times in 2 episodes since 2018 · across every show →

Mentions by year

brought up most by Spencer Kimball (4), Johnny Graettinger (1)

tap a year for its mentions
00214120182019202020212022episodesmentions
01120182019202020212022episodes it came up in
0020.54120182019202020212022episodesmentions per episode

every mention, scene by scene, with the transcript →

Everything said about TPC-C, oldest first

Oct 17, 2018
Disclosure
Cockroach Labs ran 10,000-warehouse TPC-C benchmarks under active chaos testing
“We've actually run TPCC, 10 K, we probably could run 50 K, but it's actually expensive for us to run 50 K, but 10 K with chaos, and what chaos is, it's kind of like the Netflix model, where you actually bring nodes down.”
Spencer Kimball Oct 17, 2018 ▶ 6:27 Ultra-Resilient SQL for Global Business // Spencer Kimball, Cockroach (FirstMark's Data Driven NYC)
Oct 17, 2018 positive
Assertion Not checkable as stated
CockroachDB hits full TPC-C throughput globally despite 100-millisecond latency increases
“We've run TPC-C-T-K at this, and we get full throughput. The latencies are just higher, and they're higher by, like, a hundred milliseconds.”
Spencer Kimball Oct 17, 2018 ▶ 12:07 Ultra-Resilient SQL for Global Business // Spencer Kimball, Cockroach (FirstMark's Data Driven NYC)
Oct 17, 2018 positive
Assertion Supported
CockroachDB ran a 50,000-warehouse TPC-C test across 100+ nodes
“We recently ran a TPCC 50 K, which is 50,000 warehouses. It's a pretty big cluster and that was over a hundred plus nodes so, you know, it does scale.”
Spencer Kimball Oct 17, 2018 ▶ 2:13 Ultra-Resilient SQL for Global Business // Spencer Kimball, Cockroach (FirstMark's Data Driven NYC)
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 400 conversations transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.