ClickHouse/doc/example_datasets/1_ontime.txt

This benchmark was created by Vadim Tkachenko, see:

https://www.percona.com/blog/2009/10/02/analyzing-air-traffic-performance-with-infobright-and-monetdb/
https://www.percona.com/blog/2009/10/26/air-traffic-queries-in-luciddb/
https://www.percona.com/blog/2009/11/02/air-traffic-queries-in-infinidb-early-alpha/
https://www.percona.com/blog/2014/04/21/using-apache-hadoop-and-impala-together-with-mysql-for-data-analysis/
https://www.percona.com/blog/2016/01/07/apache-spark-with-air-ontime-performance-data/
http://nickmakos.blogspot.ru/2012/08/analyzing-air-traffic-performance-with.html

1. https://github.com/Percona-Lab/ontime-airline-performance/blob/master/download.sh

for s in `seq 1987 2015`
do
for m in `seq 1 12`
do
wget http://tsdata.bts.gov/PREZIP/On_Time_On_Time_Performance_${s}_${m}.zip
done
done

2.

CREATE TABLE `ontime` (
  `Year` UInt16,
  `Quarter` UInt8,
  `Month` UInt8,
  `DayofMonth` UInt8,
  `DayOfWeek` UInt8,
  `FlightDate` Date,
  `UniqueCarrier` FixedString(7),
  `AirlineID` Int32,
  `Carrier` FixedString(2),
  `TailNum` String,
  `FlightNum` String,
  `OriginAirportID` Int32,
  `OriginAirportSeqID` Int32,
  `OriginCityMarketID` Int32,
  `Origin` FixedString(5),
  `OriginCityName` String,
  `OriginState` FixedString(2),
  `OriginStateFips` String,
  `OriginStateName` String,
  `OriginWac` Int32,
  `DestAirportID` Int32,
  `DestAirportSeqID` Int32,
  `DestCityMarketID` Int32,
  `Dest` FixedString(5),
  `DestCityName` String,
  `DestState` FixedString(2),
  `DestStateFips` String,
  `DestStateName` String,
  `DestWac` Int32,
  `CRSDepTime` Int32,
  `DepTime` Int32,
  `DepDelay` Int32,
  `DepDelayMinutes` Int32,
  `DepDel15` Int32,
  `DepartureDelayGroups` String,
  `DepTimeBlk` String,
  `TaxiOut` Int32,
  `WheelsOff` Int32,
  `WheelsOn` Int32,
  `TaxiIn` Int32,
  `CRSArrTime` Int32,
  `ArrTime` Int32,
  `ArrDelay` Int32,
  `ArrDelayMinutes` Int32,
  `ArrDel15` Int32,
  `ArrivalDelayGroups` Int32,
  `ArrTimeBlk` String,
  `Cancelled` UInt8,
  `CancellationCode` FixedString(1),
  `Diverted` UInt8,
  `CRSElapsedTime` Int32,
  `ActualElapsedTime` Int32,
  `AirTime` Int32,
  `Flights` Int32,
  `Distance` Int32,
  `DistanceGroup` UInt8,
  `CarrierDelay` Int32,
  `WeatherDelay` Int32,
  `NASDelay` Int32,
  `SecurityDelay` Int32,
  `LateAircraftDelay` Int32,
  `FirstDepTime` String,
  `TotalAddGTime` String,
  `LongestAddGTime` String,
  `DivAirportLandings` String,
  `DivReachedDest` String,
  `DivActualElapsedTime` String,
  `DivArrDelay` String,
  `DivDistance` String,
  `Div1Airport` String,
  `Div1AirportID` Int32,
  `Div1AirportSeqID` Int32,
  `Div1WheelsOn` String,
  `Div1TotalGTime` String,
  `Div1LongestGTime` String,
  `Div1WheelsOff` String,
  `Div1TailNum` String,
  `Div2Airport` String,
  `Div2AirportID` Int32,
  `Div2AirportSeqID` Int32,
  `Div2WheelsOn` String,
  `Div2TotalGTime` String,
  `Div2LongestGTime` String,
  `Div2WheelsOff` String,
  `Div2TailNum` String,
  `Div3Airport` String,
  `Div3AirportID` Int32,
  `Div3AirportSeqID` Int32,
  `Div3WheelsOn` String,
  `Div3TotalGTime` String,
  `Div3LongestGTime` String,
  `Div3WheelsOff` String,
  `Div3TailNum` String,
  `Div4Airport` String,
  `Div4AirportID` Int32,
  `Div4AirportSeqID` Int32,
  `Div4WheelsOn` String,
  `Div4TotalGTime` String,
  `Div4LongestGTime` String,
  `Div4WheelsOff` String,
  `Div4TailNum` String,
  `Div5Airport` String,
  `Div5AirportID` Int32,
  `Div5AirportSeqID` Int32,
  `Div5WheelsOn` String,
  `Div5TotalGTime` String,
  `Div5LongestGTime` String,
  `Div5WheelsOff` String,
  `Div5TailNum` String
) ENGINE = MergeTree(FlightDate, (Year, FlightDate), 8192)

3.

for i in *.zip; do echo $i; unzip -cq $i '*.csv' | sed 's/\.00//g' | clickhouse-client --host=example-perftest01j --query="INSERT INTO ontime FORMAT CSVWithNames"; done

4.

SELECT count() FROM ontime

Q0. select avg(c1) from (select Year, Month, count(*) as c1 from ontime group by Year, Month);

Q1. Count flights per day from 2000 to 2008 years
SELECT DayOfWeek, count(*) AS c FROM ontime WHERE Year >= 2000 AND Year <= 2008 GROUP BY DayOfWeek ORDER BY c DESC;

Q2. Count of flights delayed more than 10min per day of week for 2000-2008 years
SELECT DayOfWeek, count(*) AS c FROM ontime WHERE DepDelay>10 AND Year >= 2000 AND Year <= 2008 GROUP BY DayOfWeek ORDER BY c DESC

Q3. Count of delays per airport for years 2000-2008
SELECT Origin, count(*) AS c FROM ontime WHERE DepDelay>10 AND Year >= 2000 AND Year <= 2008 GROUP BY Origin ORDER BY c DESC LIMIT 10

Q4. Count of delays per Carrier for 2007 year
SELECT Carrier, count(*) FROM ontime WHERE DepDelay>10  AND Year = 2007 GROUP BY Carrier ORDER BY count(*) DESC

Q5. Percentage of delays for each carrier for 2007 year.
SELECT Carrier, c, c2, c*1000/c2 as c3
FROM
(
	SELECT
		Carrier,
		count(*) AS c
	FROM ontime
	WHERE DepDelay>10
		AND Year=2007
	GROUP BY Carrier
)
ANY INNER JOIN
(
	SELECT
		Carrier,
		count(*) AS c2
	FROM ontime
	WHERE Year=2007
	GROUP BY Carrier
) USING Carrier
ORDER BY c3 DESC;

More optimal version of same query:

SELECT Carrier, avg(DepDelay > 10) * 1000 AS c3 FROM ontime WHERE Year = 2007 GROUP BY Carrier ORDER BY Carrier

Q6. Let’s try the same query for wide range of years 2000-2008.
SELECT Carrier, c, c2, c*1000/c2 as c3
FROM
(
	SELECT
		Carrier,
		count(*) AS c
	FROM ontime
	WHERE DepDelay>10
		AND Year >= 2000 AND Year <= 2008
	GROUP BY Carrier
)
ANY INNER JOIN
(
	SELECT
		Carrier,
		count(*) AS c2
	FROM ontime
	WHERE Year >= 2000 AND Year <= 2008
	GROUP BY Carrier
) USING Carrier
ORDER BY c3 DESC;

More optimal version of same query:

SELECT Carrier, avg(DepDelay > 10) * 1000 AS c3 FROM ontime WHERE Year >= 2000 AND Year <= 2008 GROUP BY Carrier ORDER BY Carrier

Q7. Percent of delayed (more 10mins) flights per year.
SELECT Year, c1/c2
FROM
(
	select
		Year,
		count(*)*1000 as c1
	from ontime
	WHERE DepDelay>10
	GROUP BY Year
)
ANY INNER JOIN
(
	select
		Year,
		count(*) as c2
	from ontime
	GROUP BY Year
) USING (Year)
ORDER BY Year

More optimal version of same query:

SELECT Year, avg(DepDelay > 10) FROM ontime GROUP BY Year ORDER BY Year

Q8. Most popular destination in sense count of direct connected cities for different range of years.
SELECT DestCityName, uniqExact(OriginCityName) AS u FROM ontime WHERE Year >= 2000 and Year <= 2010 GROUP BY DestCityName ORDER BY u DESC LIMIT 10;

Q9. select Year, count(*) as c1 from ontime group by Year;

Q10.

select
   min(Year), max(Year), Carrier, count(*) as cnt,
   sum(ArrDelayMinutes>30) as flights_delayed,
   round(sum(ArrDelayMinutes>30)/count(*),2) as rate
FROM ontime
WHERE
   DayOfWeek not in (6,7) and OriginState not in ('AK', 'HI', 'PR', 'VI')
   and DestState not in ('AK', 'HI', 'PR', 'VI')
   and FlightDate < '2010-01-01'
GROUP by Carrier
HAVING cnt > 100000 and max(Year) > 1990
ORDER by rate DESC
LIMIT 1000;

Bonus:

SELECT avg(cnt) FROM (SELECT Year,Month,count(*) AS cnt FROM ontime WHERE DepDel15=1 GROUP BY Year,Month)

select avg(c1) from (select Year,Month,count(*) as c1 from ontime group by Year,Month)

SELECT DestCityName, uniqExact(OriginCityName) AS u FROM ontime GROUP BY DestCityName ORDER BY u DESC LIMIT 10;

SELECT OriginCityName, DestCityName, count() AS c FROM ontime GROUP BY OriginCityName, DestCityName ORDER BY c DESC LIMIT 10;

SELECT OriginCityName, count() AS c FROM ontime GROUP BY OriginCityName ORDER BY c DESC LIMIT 10;