Continuous Benchmarking
One of Databend design goals is to keep top performance, to guarantee it Databend runs Continuous Benchmarking on every nightly release to detect performance regressions and visualizes it on the website: perf.databend.rs.
The benchmark runner and results which run daily are defined in the repository datafuselabs/databend-perf.
Vectorized Execution Benchmarking
This benchmarking mainly for Databend vectorized execution, it will tell us how fast the vectorized execution in the memory is, we run these queries to measure it:
| Number | Query |
|---|---|
| Q1 | SELECT avg(number) FROM numbers_mt(10000000000); |
| Q2 | SELECT sum(number) FROM numbers_mt(10000000000); |
| Q3 | SELECT min(number) FROM numbers_mt(10000000000); |
| Q4 | SELECT max(number) FROM numbers_mt(10000000000); |
| Q5 | SELECT count(number) FROM numbers_mt(10000000000); |
| Q6 | SELECT sum(number+number+number) FROM numbers_mt(10000000000); |
| Q7 | SELECT sum(number) / count(number) FROM numbers_mt(10000000000); |
| Q8 | SELECT sum(number) / count(number), max(number), min(number) FROM numbers_mt(10000000000); |
| Q9 | SELECT number FROM numbers_mt(10000000000) ORDER BY number DESC LIMIT 10; |
| Q10 | SELECT max(number), sum(number) FROM numbers_mt(10000000000) GROUP BY number % 3, number % 4, number % 5 LIMIT 10; |
Ontime Benchmarking
This benchmarking will tell us what the performance is when Databend works with Ontime dataset which on the AWS S3, we measure it by these queries:
| Number | Query |
|---|---|
| Q1 | SELECT DayOfWeek, count(*) AS c FROM default.ontime WHERE Year >= 2000 AND Year <= 2008 GROUP BY DayOfWeek ORDER BY c DESC; |
| Q2 | SELECT DayOfWeek, count(*) AS c FROM default.ontime WHERE DepDelay>10 AND Year >= 2000 AND Year <= 2008 GROUP BY DayOfWeek ORDER BY c DESC; |
| Q3 | SELECT Origin, count(*) AS c FROM default.ontime WHERE DepDelay>10 AND Year >= 2000 AND Year <= 2008 GROUP BY Origin ORDER BY c DESC LIMIT 10; |
| Q4 | SELECT IATA_CODE_Reporting_Airline AS Carrier, count() FROM default.ontime WHERE DepDelay>10 AND Year = 2007 GROUP BY Carrier ORDER BY count() DESC; |
| Q5 | SELECT IATA_CODE_Reporting_Airline AS Carrier, avg(cast(DepDelay>10 as Int8))*1000 AS c3 FROM default.ontime WHERE Year=2007 GROUP BY Carrier ORDER BY c3 DESC; |
| Q6 | SELECT IATA_CODE_Reporting_Airline AS Carrier, avg(cast(DepDelay>10 as Int8))*1000 AS c3 FROM default.ontime WHERE Year>=2000 AND Year <=2008 GROUP BY Carrier ORDER BY c3 DESC; |
| Q7 | SELECT IATA_CODE_Reporting_Airline AS Carrier, avg(DepDelay) * 1000 AS c3 FROM default.ontime WHERE Year >= 2000 AND Year <= 2008 GROUP BY Carrier; |
| Q8 | SELECT Year, avg(DepDelay) FROM default.ontime GROUP BY Year; |
| Q9 | SELECT Year, count(*) as c1 FROM default.ontime GROUP BY Year; |
| Q10 | SELECT avg(cnt) FROM (SELECT Year,Month,count(*) AS cnt FROM default.ontime WHERE DepDel15=1 GROUP BY Year,Month) a; |
| Q11 | SELECT avg(c1) FROM (SELECT Year,Month,count(*) AS c1 FROM default.ontime GROUP BY Year,Month) a; |
| Q12 | SELECT OriginCityName, DestCityName, count(*) AS c FROM default.ontime GROUP BY OriginCityName, DestCityName ORDER BY c DESC LIMIT 10; |
| Q13 | SELECT OriginCityName, count(*) AS c FROM default.ontime GROUP BY OriginCityName ORDER BY c DESC LIMIT 10; |
| Q14 | SELECT count(*) FROM default.ontime; |
