ClickHouse/docs/fa/getting-started/example-datasets/ontime.md

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---
machine_translated: true
machine_translated_rev: 72537a2d527c63c07aa5d2361a8829f3895cf2bd
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toc_priority: 15
toc_title: "\u0628\u0647 \u0645\u0648\u0642\u0639"
---
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# به موقع {#ontime}
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این مجموعه داده را می توان به دو روش دریافت کرد:
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- واردات از دادههای خام
- دانلود پارتیشن های تهیه شده
## واردات از دادههای خام {#import-from-raw-data}
بارگیری داده ها:
``` bash
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for s in `seq 1987 2018`
do
for m in `seq 1 12`
do
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wget https://transtats.bts.gov/PREZIP/On_Time_Reporting_Carrier_On_Time_Performance_1987_present_${s}_${m}.zip
done
done
```
(از https://github.com/Percona-Lab/ontime-airline-performance/blob/master/download.sh )
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ایجاد یک جدول:
``` sql
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
PARTITION BY Year
ORDER BY (Carrier, FlightDate)
SETTINGS index_granularity = 8192;
```
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بارگیری داده:
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``` bash
$ for i in *.zip; do echo $i; unzip -cq $i '*.csv' | sed 's/\.00//g' | clickhouse-client --host=example-perftest01j --query="INSERT INTO ontime FORMAT CSVWithNames"; done
```
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## دانلود پارتیشن های تهیه شده {#download-of-prepared-partitions}
``` bash
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$ curl -O https://clickhouse-datasets.s3.yandex.net/ontime/partitions/ontime.tar
$ tar xvf ontime.tar -C /var/lib/clickhouse # path to ClickHouse data directory
$ # check permissions of unpacked data, fix if required
$ sudo service clickhouse-server restart
$ clickhouse-client --query "select count(*) from datasets.ontime"
```
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!!! info "اطلاعات"
اگر شما نمایش داده شد شرح داده شده در زیر اجرا خواهد شد, شما مجبور به استفاده از نام جدول کامل, `datasets.ontime`.
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## نمایش داده شد {#queries}
Q0.
``` sql
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SELECT avg(c1)
FROM
(
SELECT Year, Month, count(*) AS c1
FROM ontime
GROUP BY Year, Month
);
```
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Q1. تعداد پرواز در روز از سال 2000 تا 2008
``` sql
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SELECT DayOfWeek, count(*) AS c
FROM ontime
WHERE Year>=2000 AND Year<=2008
GROUP BY DayOfWeek
ORDER BY c DESC;
```
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Q2. تعداد پروازهای تاخیر بیش از 10 دقیقه, گروه بندی شده توسط روز هفته, برای 2000-2008
``` sql
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SELECT DayOfWeek, count(*) AS c
FROM ontime
WHERE DepDelay>10 AND Year>=2000 AND Year<=2008
GROUP BY DayOfWeek
ORDER BY c DESC;
```
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پرسش 3 تعداد تاخیر در فرودگاه برای 2000-2008
``` sql
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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;
```
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پرسش4. تعداد تاخیر توسط حامل برای 2007
``` sql
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SELECT Carrier, count(*)
FROM ontime
WHERE DepDelay>10 AND Year=2007
GROUP BY Carrier
ORDER BY count(*) DESC;
```
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پرسش 5 درصد تاخیر توسط حامل برای 2007
``` sql
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SELECT Carrier, c, c2, c*100/c2 as c3
FROM
(
SELECT
Carrier,
count(*) AS c
FROM ontime
WHERE DepDelay>10
AND Year=2007
GROUP BY Carrier
)
JOIN
(
SELECT
Carrier,
count(*) AS c2
FROM ontime
WHERE Year=2007
GROUP BY Carrier
) USING Carrier
ORDER BY c3 DESC;
```
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نسخه بهتر از پرس و جو همان:
``` sql
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SELECT Carrier, avg(DepDelay>10)*100 AS c3
FROM ontime
WHERE Year=2007
GROUP BY Carrier
ORDER BY c3 DESC
```
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س6 درخواست قبلی برای طیف وسیع تری از سال 2000-2008
``` sql
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SELECT Carrier, c, c2, c*100/c2 as c3
FROM
(
SELECT
Carrier,
count(*) AS c
FROM ontime
WHERE DepDelay>10
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AND Year>=2000 AND Year<=2008
GROUP BY Carrier
)
JOIN
(
SELECT
Carrier,
count(*) AS c2
FROM ontime
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WHERE Year>=2000 AND Year<=2008
GROUP BY Carrier
) USING Carrier
ORDER BY c3 DESC;
```
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نسخه بهتر از پرس و جو همان:
``` sql
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SELECT Carrier, avg(DepDelay>10)*100 AS c3
FROM ontime
WHERE Year>=2000 AND Year<=2008
GROUP BY Carrier
ORDER BY c3 DESC;
```
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پرسش 7 درصد پرواز به تاخیر افتاد برای بیش از 10 دقیقه, به سال
``` sql
SELECT Year, c1/c2
FROM
(
select
Year,
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count(*)*100 as c1
from ontime
WHERE DepDelay>10
GROUP BY Year
)
JOIN
(
select
Year,
count(*) as c2
from ontime
GROUP BY Year
) USING (Year)
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ORDER BY Year;
```
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نسخه بهتر از پرس و جو همان:
``` sql
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SELECT Year, avg(DepDelay>10)*100
FROM ontime
GROUP BY Year
ORDER BY Year;
```
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س8 محبوب ترین مقصد توسط تعدادی از شهرستانها به طور مستقیم متصل برای محدوده های مختلف سال
``` sql
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SELECT DestCityName, uniqExact(OriginCityName) AS u
FROM ontime
WHERE Year >= 2000 and Year <= 2010
GROUP BY DestCityName
ORDER BY u DESC LIMIT 10;
```
Q9.
``` sql
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SELECT Year, count(*) AS c1
FROM ontime
GROUP BY Year;
```
Q10.
``` sql
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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
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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
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HAVING cnt>100000 and max(Year)>1990
ORDER by rate DESC
LIMIT 1000;
```
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پاداش:
``` sql
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SELECT avg(cnt)
FROM
(
SELECT Year,Month,count(*) AS cnt
FROM ontime
WHERE DepDel15=1
GROUP BY Year,Month
);
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SELECT avg(c1) FROM
(
SELECT Year,Month,count(*) AS c1
FROM ontime
GROUP BY Year,Month
);
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SELECT DestCityName, uniqExact(OriginCityName) AS u
FROM ontime
GROUP BY DestCityName
ORDER BY u DESC
LIMIT 10;
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SELECT OriginCityName, DestCityName, count() AS c
FROM ontime
GROUP BY OriginCityName, DestCityName
ORDER BY c DESC
LIMIT 10;
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SELECT OriginCityName, count() AS c
FROM ontime
GROUP BY OriginCityName
ORDER BY c DESC
LIMIT 10;
```
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این تست عملکرد توسط وادیم تکچنکو ایجاد شد. ببینید:
- 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
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[مقاله اصلی](https://clickhouse.tech/docs/en/getting_started/example_datasets/ontime/) <!--hide-->