关于rust:Analyze-OnTime-datasets-with-Databend-on-AWS-EC2-and-S3

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1. 基准环境

ec2 size：c5a.4xlarge

ec2 region：< 您的 s3 存储区域 >

本地磁盘 300G，本地磁盘仅用于 ontime save 和 databend complie。

操作系统：ubuntu 20 x64

筹备安装包：

$sudo apt-get install unzip make mysql-client-core-8.0

2. 部署 Databend

2.1 编译 Databend

$git clone https://github.com/datafuselabs/databend.git

$cd databend

$make setup

$export PATH=$PATH:~/.cargo/bin

$make build-native

最初，databend 相干的二进制文件位于

./target/release/{databend-meta, databend-query}

2.2 启动 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=<your-bucket>.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

2.3 测试 Databend

mysql -h 127.0.0.1 -P3307 -uroot

查看连贯是否失常。

3. 加载 Ontime

3.1 创立 Ontime 表

wget --no-check-certificate https://repo.databend.rs/ontime/create_table.sql
cat create_table.sql |mysql -h 127.0.0.1 -P3307 -uroot

3.2 加载数据

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 \"csv_header:0\" -H \"field_delimitor:'\t'\"  -F  \"upload=@{}\"  -XPUT http://localhost:8001/v1/streaming_load |bash

4. 查问

执行查问

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;

基准查问要点

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 IATACODE_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;