Highlights
QUESTION 1
Assume you are given data with the following columns.
|
Index |
Column Name |
Possible values |
|
0 |
House_ID |
Integer |
|
1 |
Suburb |
String |
|
2 |
Postcode |
Integer |
|
3 |
Multistory |
True, False |
|
4 |
Price |
Float |
|
5 |
Owner_ID |
Integer |
|
6 |
Number_bedrooms |
Integer |
|
7 |
Land_size |
Float |
[Spark RDD] How many houses have a price above 1000000.00 and have a postcode of 3086?
Question 2
Assume you are given data with the following columns.
|
Index |
Column Name |
Possible values |
|
0 |
House_ID |
Integer |
|
1 |
Suburb |
String |
|
2 |
Postcode |
Integer |
|
3 |
Multistory |
True, False |
|
4 |
Price |
Float |
|
5 |
Owner_ID |
Integer |
|
6 |
Number_bedrooms |
Integer |
|
7 |
Land_size |
Float |
You will answer the questions either using the Spark RDD API or Spark SQL data frames/datasets. Please complete the question using spark RDDs for the questions marked as [Spark RDD], please complete the questions using data frames/datasets for questions marked as [Spark SQL]. When you program Spark SQL you must use the dataset/dataframe operations instead of SQL syntax.
[Spark RDD] Output the House_ID of the house with the largest Land_size in the Bundoora suburb. Break ties arbitrarily if there are more than one house with the largest Land_size.
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