OnTime

항공편의 정시 운항 실적을 담은 데이터셋

이 데이터셋에는 Bureau of Transportation Statistics에서 제공하는 데이터가 포함되어 있습니다.

​

테이블 생성

CREATE TABLE `ontime`
(
    `Year`                            UInt16,
    `Quarter`                         UInt8,
    `Month`                           UInt8,
    `DayofMonth`                      UInt8,
    `DayOfWeek`                       UInt8,
    `FlightDate`                      Date,
    `Reporting_Airline`               LowCardinality(String),
    `DOT_ID_Reporting_Airline`        Int32,
    `IATA_CODE_Reporting_Airline`     LowCardinality(String),
    `Tail_Number`                     LowCardinality(String),
    `Flight_Number_Reporting_Airline` LowCardinality(String),
    `OriginAirportID`                 Int32,
    `OriginAirportSeqID`              Int32,
    `OriginCityMarketID`              Int32,
    `Origin`                          FixedString(5),
    `OriginCityName`                  LowCardinality(String),
    `OriginState`                     FixedString(2),
    `OriginStateFips`                 FixedString(2),
    `OriginStateName`                 LowCardinality(String),
    `OriginWac`                       Int32,
    `DestAirportID`                   Int32,
    `DestAirportSeqID`                Int32,
    `DestCityMarketID`                Int32,
    `Dest`                            FixedString(5),
    `DestCityName`                    LowCardinality(String),
    `DestState`                       FixedString(2),
    `DestStateFips`                   FixedString(2),
    `DestStateName`                   LowCardinality(String),
    `DestWac`                         Int32,
    `CRSDepTime`                      Int32,
    `DepTime`                         Int32,
    `DepDelay`                        Int32,
    `DepDelayMinutes`                 Int32,
    `DepDel15`                        Int32,
    `DepartureDelayGroups`            LowCardinality(String),
    `DepTimeBlk`                      LowCardinality(String),
    `TaxiOut`                         Int32,
    `WheelsOff`                       LowCardinality(String),
    `WheelsOn`                        LowCardinality(String),
    `TaxiIn`                          Int32,
    `CRSArrTime`                      Int32,
    `ArrTime`                         Int32,
    `ArrDelay`                        Int32,
    `ArrDelayMinutes`                 Int32,
    `ArrDel15`                        Int32,
    `ArrivalDelayGroups`              LowCardinality(String),
    `ArrTimeBlk`                      LowCardinality(String),
    `Cancelled`                       Int8,
    `CancellationCode`                FixedString(1),
    `Diverted`                        Int8,
    `CRSElapsedTime`                  Int32,
    `ActualElapsedTime`               Int32,
    `AirTime`                         Int32,
    `Flights`                         Int32,
    `Distance`                        Int32,
    `DistanceGroup`                   Int8,
    `CarrierDelay`                    Int32,
    `WeatherDelay`                    Int32,
    `NASDelay`                        Int32,
    `SecurityDelay`                   Int32,
    `LateAircraftDelay`               Int32,
    `FirstDepTime`                    Int16,
    `TotalAddGTime`                   Int16,
    `LongestAddGTime`                 Int16,
    `DivAirportLandings`              Int8,
    `DivReachedDest`                  Int8,
    `DivActualElapsedTime`            Int16,
    `DivArrDelay`                     Int16,
    `DivDistance`                     Int16,
    `Div1Airport`                     LowCardinality(String),
    `Div1AirportID`                   Int32,
    `Div1AirportSeqID`                Int32,
    `Div1WheelsOn`                    Int16,
    `Div1TotalGTime`                  Int16,
    `Div1LongestGTime`                Int16,
    `Div1WheelsOff`                   Int16,
    `Div1TailNum`                     LowCardinality(String),
    `Div2Airport`                     LowCardinality(String),
    `Div2AirportID`                   Int32,
    `Div2AirportSeqID`                Int32,
    `Div2WheelsOn`                    Int16,
    `Div2TotalGTime`                  Int16,
    `Div2LongestGTime`                Int16,
    `Div2WheelsOff`                   Int16,
    `Div2TailNum`                     LowCardinality(String),
    `Div3Airport`                     LowCardinality(String),
    `Div3AirportID`                   Int32,
    `Div3AirportSeqID`                Int32,
    `Div3WheelsOn`                    Int16,
    `Div3TotalGTime`                  Int16,
    `Div3LongestGTime`                Int16,
    `Div3WheelsOff`                   Int16,
    `Div3TailNum`                     LowCardinality(String),
    `Div4Airport`                     LowCardinality(String),
    `Div4AirportID`                   Int32,
    `Div4AirportSeqID`                Int32,
    `Div4WheelsOn`                    Int16,
    `Div4TotalGTime`                  Int16,
    `Div4LongestGTime`                Int16,
    `Div4WheelsOff`                   Int16,
    `Div4TailNum`                     LowCardinality(String),
    `Div5Airport`                     LowCardinality(String),
    `Div5AirportID`                   Int32,
    `Div5AirportSeqID`                Int32,
    `Div5WheelsOn`                    Int16,
    `Div5TotalGTime`                  Int16,
    `Div5LongestGTime`                Int16,
    `Div5WheelsOff`                   Int16,
    `Div5TailNum`                     LowCardinality(String)
) ENGINE = MergeTree
  ORDER BY (Year, Quarter, Month, DayofMonth, FlightDate, IATA_CODE_Reporting_Airline);

​

원본 데이터에서 가져오기

데이터 다운로드:

wget --no-check-certificate --continue https://transtats.bts.gov/PREZIP/On_Time_Reporting_Carrier_On_Time_Performance_1987_present_{1987..2022}_{1..12}.zip

여러 스레드로 데이터 불러오기:

ls -1 *.zip | xargs -I{} -P $(nproc) bash -c "echo {}; unzip -cq {} '*.csv' | sed 's/\.00//g' | clickhouse-client --input_format_csv_empty_as_default 1 --query='INSERT INTO ontime FORMAT CSVWithNames'"

(서버에서 메모리 부족 등의 문제가 발생하면 -P $(nproc) 부분을 제거하십시오)

​

저장된 사본에서 가져오기

또는 다음 쿼리로 저장된 사본의 데이터를 가져올 수 있습니다:

INSERT INTO ontime SELECT * FROM s3('https://clickhouse-public-datasets.s3.amazonaws.com/ontime/csv_by_year/*.csv.gz', CSVWithNames) SETTINGS max_insert_threads = 40;

스냅샷은 2022-05-29에 생성되었습니다.

​

쿼리

Q0.

SELECT avg(c1)
FROM
(
    SELECT Year, Month, count(*) AS c1
    FROM ontime
    GROUP BY Year, Month
);

Q1. 2000년부터 2008년까지의 일별 항공편 수

SELECT DayOfWeek, count(*) AS c
FROM ontime
WHERE Year>=2000 AND Year<=2008
GROUP BY DayOfWeek
ORDER BY c DESC;

Q2. 2000~2008년 요일별 10분 초과 지연 항공편 수

SELECT DayOfWeek, count(*) AS c
FROM ontime
WHERE DepDelay>10 AND Year>=2000 AND Year<=2008
GROUP BY DayOfWeek
ORDER BY c DESC;

Q3. 2000~2008년 공항별 지연 건수

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. 2007년 항공사별 지연 건수

SELECT IATA_CODE_Reporting_Airline AS Carrier, count(*)
FROM ontime
WHERE DepDelay>10 AND Year=2007
GROUP BY Carrier
ORDER BY count(*) DESC;

Q5. 2007년 항공사별 지연 비율

SELECT Carrier, c, c2, c*100/c2 AS c3
FROM
(
    SELECT
        IATA_CODE_Reporting_Airline AS Carrier,
        count(*) AS c
    FROM ontime
    WHERE DepDelay>10
        AND Year=2007
    GROUP BY Carrier
) q
JOIN
(
    SELECT
        IATA_CODE_Reporting_Airline AS Carrier,
        count(*) AS c2
    FROM ontime
    WHERE Year=2007
    GROUP BY Carrier
) qq USING Carrier
ORDER BY c3 DESC;

같은 쿼리의 개선된 버전:

SELECT IATA_CODE_Reporting_Airline AS Carrier, avg(DepDelay>10)*100 AS c3
FROM ontime
WHERE Year=2007
GROUP BY Carrier
ORDER BY c3 DESC

Q6. 2000-2008년의 더 넓은 연도 범위에 대한 이전 요청

SELECT Carrier, c, c2, c*100/c2 AS c3
FROM
(
    SELECT
        IATA_CODE_Reporting_Airline AS Carrier,
        count(*) AS c
    FROM ontime
    WHERE DepDelay>10
        AND Year>=2000 AND Year<=2008
    GROUP BY Carrier
) q
JOIN
(
    SELECT
        IATA_CODE_Reporting_Airline AS Carrier,
        count(*) AS c2
    FROM ontime
    WHERE Year>=2000 AND Year<=2008
    GROUP BY Carrier
) qq USING Carrier
ORDER BY c3 DESC;

같은 쿼리의 개선된 버전:

SELECT IATA_CODE_Reporting_Airline AS Carrier, avg(DepDelay>10)*100 AS c3
FROM ontime
WHERE Year>=2000 AND Year<=2008
GROUP BY Carrier
ORDER BY c3 DESC;

Q7. 연도별 10분 넘게 지연된 항공편 비율

SELECT Year, c1/c2
FROM
(
    SELECT
        Year,
        count(*)*100 AS c1
    FROM ontime
    WHERE DepDelay>10
    GROUP BY Year
) q
JOIN
(
    SELECT
        Year,
        count(*) AS c2
    FROM ontime
    GROUP BY Year
) qq USING (Year)
ORDER BY Year;

같은 쿼리의 개선된 버전:

SELECT Year, avg(DepDelay>10)*100
FROM ontime
GROUP BY Year
ORDER BY Year;

Q8. 여러 연도 구간별로 직접 연결된 도시 수를 기준으로 가장 인기 있는 목적지

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), IATA_CODE_Reporting_Airline AS 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;

보너스:

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;

Playground에서 데이터를 직접 살펴볼 수도 있습니다. 예시.

이 성능 테스트는 Vadim Tkachenko가 만들었습니다. 다음 자료를 참조하십시오:

• 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