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 environment​
EC2 size : c5a.4xlarge
EC2 region: <your S3 bucket region>
local disk 300G, local disk only used for ontime save and databend complie.
Os Type: ubuntu 20 x64
Prepare install package:
$sudo apt-get install unzip make mysql-client-core-8.0
Step 2. Deploy Databend​
2.1 Compile Databend​
$git clone https://github.com/datafuselabs/databend.git
$cd databend
$make setup
$export PATH=$PATH:~/.cargo/bin
$make build-native
Finally, the databend-related binary files are at ./target/release/{databend-meta, databend-query}
2.2 Start Databend​
# Please replace the s3 env config with your own.
export STORAGE_TYPE=s3
export S3_STORAGE_BUCKET=<your-s3-bucket>
export S3_STORAGE_REGION=<your-s3-region>
export S3_STORAGE_ENDPOINT_URL=https://s3.amazonaws.com
export S3_STORAGE_ACCESS_KEY_ID=<your-s3-key-id>
export S3_STORAGE_SECRET_ACCESS_KEY=<your-s3-access-key>
echo "Starting standalone DatabendQuery(release)"
./scripts/ci/deploy/databend-query-standalone.sh release
For S3 compatible services, please also set S3_STORAGE_ENDPOINT_URL to your S3 endpoint.
export S3_STORAGE_ENDPOINT_URL=http://127.0.0.1:9000
2.3 Test Databend​
mysql -h 127.0.0.1 -P3307 -uroot
Check connect is ok .
Step 3. Load OnTime datasets​
3.1 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;
3.2 Load Data into OnTime table​
wget --no-check-certificate https://repo.databend.rs/t_ontime/t_ontime.csv.zip
unzip t_ontime.csv.zip
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://localhost:8001/v1/streaming_load |bash
Step 4. Queries​
Execute Query and set settings:
mysql -h 127.0.0.1 -P3307 -uroot
mysql>set parallel_read_threads=4;
mysql>select count(*) from ontime;
mysql>select Year, count(*) from ontime group by Year;
All Queries:
| Number | Query |
|---|---|
| Q1 | SELECT DayOfWeek, count(*) AS c FROM ontime WHERE Year >= 2000 AND Year <= 2008 GROUP BY DayOfWeek ORDER BY c DESC; |
| Q2 | SELECT DayOfWeek, count(*) AS c FROM ontime WHERE DepDelay>10 AND Year >= 2000 AND Year <= 2008 GROUP BY DayOfWeek ORDER BY c DESC; |
| Q3 | 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 | SELECT IATA_CODE_Reporting_Airline AS Carrier, count() FROM 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 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 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 ontime WHERE Year >= 2000 AND Year <= 2008 GROUP BY Carrier; |
| Q8 | SELECT Year, avg(DepDelay) FROM ontime GROUP BY Year; |
| Q9 | SELECT Year, count(*) as c1 FROM ontime GROUP BY Year; |
| Q10 | SELECT avg(cnt) FROM (SELECT Year,Month,count(*) AS cnt FROM ontime WHERE DepDel15=1 GROUP BY Year,Month) a; |
| Q11 | SELECT avg(c1) FROM (SELECT Year,Month,count(*) AS c1 FROM ontime GROUP BY Year,Month) a; |
| Q12 | SELECT OriginCityName, DestCityName, count(*) AS c FROM ontime GROUP BY OriginCityName, DestCityName ORDER BY c DESC LIMIT 10; |
| Q13 | SELECT OriginCityName, count(*) AS c FROM ontime GROUP BY OriginCityName ORDER BY c DESC LIMIT 10; |
| Q14 | SELECT count(*) FROM ontime; |