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Analyzing OnTime Datasets with Databend on AWS EC2 and S3

Analyzing OnTime datasets on AWS EC2 and S3 with Databend step by step.

Step 1. Deploy Databend

Install databend, see deploy Databend with AWS S3.

Step 2. Load OnTime Datasets

2.1 Create OnTime Table

CREATE TABLE ontime
(
Year UInt16,
Quarter UInt8,
Month UInt8,
DayofMonth UInt8,
DayOfWeek UInt8,
FlightDate Date,
Reporting_Airline String,
DOT_ID_Reporting_Airline Int32,
IATA_CODE_Reporting_Airline String,
Tail_Number String,
Flight_Number_Reporting_Airline String,
OriginAirportID Int32,
OriginAirportSeqID Int32,
OriginCityMarketID Int32,
Origin String,
OriginCityName String,
OriginState String,
OriginStateFips String,
OriginStateName String,
OriginWac Int32,
DestAirportID Int32,
DestAirportSeqID Int32,
DestCityMarketID Int32,
Dest String,
DestCityName String,
DestState String,
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 String,
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 = FUSE;

2.2 Load Data Into OnTime Table

t_ontime.csv.zip
wget --no-check-certificate https://repo.databend.rs/t_ontime/t_ontime.csv.zip
Unzip
unzip t_ontime.csv.zip
Load CSV files into Databend
ls *.csv|xargs -I{} echo  curl -H \"insert_sql:insert into ontime format CSV\" -H \"skip_header:0\" -H \"field_delimiter:'\t'\"  -F  \"upload=@{}\"  -XPUT http://127.0.0.1:8081/v1/streaming_load |bash
tip

Step 3. Queries

Execute Queries:

mysql
mysql -h127.0.0.1 -P3307 -uroot 
select Year, count(*) from ontime group by Year;

All Queries:

NumberQuery
Q1SELECT DayOfWeek, count(*) AS c FROM ontime WHERE Year >= 2000 AND Year <= 2008 GROUP BY DayOfWeek ORDER BY c DESC;
Q2SELECT DayOfWeek, count(*) AS c FROM ontime WHERE DepDelay>10 AND Year >= 2000 AND Year <= 2008 GROUP BY DayOfWeek ORDER BY c DESC;
Q3SELECT Origin, count(*) AS c FROM ontime WHERE DepDelay>10 AND Year >= 2000 AND Year <= 2008 GROUP BY Origin ORDER BY c DESC LIMIT 10;
Q4SELECT IATA_CODE_Reporting_Airline AS Carrier, count() FROM ontime WHERE DepDelay>10 AND Year = 2007 GROUP BY Carrier ORDER BY count() DESC;
Q5SELECT IATA_CODE_Reporting_Airline AS Carrier, avg(cast(DepDelay>10 as Int8))*1000 AS c3 FROM ontime WHERE Year=2007 GROUP BY Carrier ORDER BY c3 DESC;
Q6SELECT IATA_CODE_Reporting_Airline AS Carrier, avg(cast(DepDelay>10 as Int8))*1000 AS c3 FROM ontime WHERE Year>=2000 AND Year <=2008 GROUP BY Carrier ORDER BY c3 DESC;
Q7SELECT IATA_CODE_Reporting_Airline AS Carrier, avg(DepDelay) * 1000 AS c3 FROM ontime WHERE Year >= 2000 AND Year <= 2008 GROUP BY Carrier;
Q8SELECT Year, avg(DepDelay) FROM ontime GROUP BY Year;
Q9SELECT Year, count(*) as c1 FROM ontime GROUP BY Year;
Q10SELECT avg(cnt) FROM (SELECT Year,Month,count(*) AS cnt FROM ontime WHERE DepDel15=1 GROUP BY Year,Month) a;
Q11SELECT avg(c1) FROM (SELECT Year,Month,count(*) AS c1 FROM ontime GROUP BY Year,Month) a;
Q12SELECT OriginCityName, DestCityName, count(*) AS c FROM ontime GROUP BY OriginCityName, DestCityName ORDER BY c DESC LIMIT 10;
Q13SELECT OriginCityName, count(*) AS c FROM ontime GROUP BY OriginCityName ORDER BY c DESC LIMIT 10;
Q14SELECT count(*) FROM ontime;