5. ● Load data into Hive table from our local file system
Load Data Local Inpath
'/home/cloudera/Desktop/rollercoasters.csv'
Overwrite Into table rollercoaster;
6. Question 1
● Number of rollercoaster type based on excitement and nausea and also print theme name
select theme, excitement_rating, nausea_rating , count(rollercoaster_type) from
rollercoaster group by
excitement_rating, nausea_rating,theme;
7. Question 2
● No. of rollercoaster where grouping based on excitement level and drop height
a) where excitement level is highest(very high) and drop_height>50
b) where excitement level is high and drop_height>50 and also print the park_id.
a) select excitement_rating, highest_drop_height , count(rollercoaster_type) from
rollercoaster
where excitement_rating = 'Very High' and
highest_drop_height > 50 group by excitement_rating, highest_drop_height;Q
8. b) select park_id,excitement_rating,highest_drop_height ,
count(rollercoaster_type)
from rollercoaster group by park_id, excitement_rating,
highest_drop_height
having excitement_rating = 'High' and highest_drop_height > 50;
9. Question 3
a) Find out the name of rollercoaster_type, excitement_level intensity _level and nausea_level where
total_air_time is max and
b) Find out the total_air_time of that rows whose excitement_level intensity _level and nausea_level is
similar to row where total_air_time is maximum.
a) select distinct rollercoaster_type,excitement_rating,intensity_rating ,
nausea_rating
from rollercoaster as r1 where r1.total_air_time in (select
max(r2.total_air_time) from rollercoaster as r2);
10. b) select r1.total_air_time from rollercoaster as r1 inner join
(select distinct excitement_rating,intensity_rating , nausea_rating from
rollercoaster as rc where
rc.total_air_time in (select max(total_air_time) from rollercoaster)) as t
on t.excitement_rating = r1.excitement_rating
and t.intensity_rating = r1.intensity_rating and t.nausea_rating = r1.nausea_rating;
11. Question 4
a) Find out the name of rollercoaster_type, excitement_level ,intensity _level and
nausea_level where avg_speed is max and
b) Compare the max_speed of those rows whose excitement_level intensity _level and
nausea_level is similar to row where avg_speed is maximum.
a) select rollercoaster_type,excitement_rating,intensity_rating,
nausea_rating from rollercoaster r1 where r1.avg_speed in
(select max(r2.avg_speed) from rollercoaster r2);
12. b) select r3.max_speed from rollercoaster as r3 inner join (select
excitement_rating,intensity_rating,
nausea_rating from rollercoaster r1 where r1.avg_speed
in(select max(r2.avg_speed) from rollercoaster r2) ) as t
on r3.intensity_rating = t.intensity_rating
and r3.excitement_rating = t.excitement_rating and r3.nausea_rating =
t.nausea_rating;
13. Question 5
● Find out the parkid and rollercoaster type where no of drop is greater than
10 and have same excitement _level.
select x.park_id,x.rollercoaster_type from (select park_id,rollercoaster_type
,excitement_rating
from rollercoaster where drops>10 group by park_id,rollercoaster_type
,excitement_rating) as x;
14. Question 6
● Group rollercoaster_type based on custom_design where excitement level
is high.
select custom_design ,rollercoaster_type from rollercoaster where
excitement_rating = 'High' group by
custom_design,rollercoaster_type;
15. Question 7
● If ride_length is greater than 2000 and max_speed is greater than 50 so what is the level of
excitement and nausea.
Select distinct excitement_rating,nausea_rating from rollercoaster where
ride_length > 2000 and max_speed >50;
16. Question 8
● Park_name(theme) where atleast 2 rides excitement level is high.
Select x.theme from (select theme,count(excitement_rating) from rollercoaster
where excitement_rating = 'High'
group by theme having count(excitement_rating)>=2 ) as x;
17. Question 9
● In which roller coaster ride excitement level and avg_speed is highest.
Select rollercoaster_type from rollercoaster r1 where excitement_rating = 'Very
High'
and r1.avg_speed in (select max(r2.avg_speed ) from rollercoaster as r2 );
18. Question 10
● Name of Rollercoaster where total_air_time is greater than 5 but still excitement_level is not very
high.
Select rollercoaster_type from rollercoaster where total_air_time>5 and
excitement_rating <> 'Very High';
19. Question 11
● If ride_length is greater than 2000 then find out avg_speed and excitement_level , group
excitement_level based on avg_speed >10.
select excitement_rating,avg_speed from rollercoaster
where ride_length >2000 and avg_speed>10 group by excitement_rating,avg_speed;
20. Question 12
● When max_pos> 3 and max_neg is >-2 then find out the name of rollercoaster where
intensity_level is greater than excitement_level.
Select rollercoaster_type from rollercoaster where max_pos_gs>3 and
max_neg_gs>-2 and intensity > excitement;
21. Question 13
● When max_pos>= 3 and max_neg is >=-2 count the no of rollercoaster grouping based on
a) Intensity_level greater than equal or less than excitement_level and
b) Find out the same when max_pos>= 4 and max_neg is >=1 condition is not true.
a) Select count(distinct(rollercoaster_type)) ,intensity_rating from rollercoaster
where max_pos_gs>=3 and max_neg_gs>=-2 and intensity > excitement group by
intensity_rating;
23. Question 14
● When nausea_level is low that what is the value of excitement_level.
select distinct excitement_rating from rollercoaster where nausea_rating =
'Low';
24. Question 15
● Group rollercoaster_type based on custom_design where intensity level is very high and ride_length is
greater than 2000.
Select custom_design, rollercoaster_type from rollercoaster where intensity_rating=
'Very High'
and ride_length>2000 group by custom_design , rollercoaster_type ;
