Highlights
Copy data and Load Data into Hive Tables
We’ll work with TPC-H data. TPC-H is a standard decision support benchmark for big data analytics. It contains synthetic data and several queries representing a generalized complex analytics workload that answers critical business questions. The data size and distribution can be controlled via arguments while generating the synthetic data. Below is the schema of the benchmark database. The size of the dataset used in this assignment is 1 GB. You can learn more about TPC-H
Dataset size:
|
table |
number of tuples |
|
customer |
150000 |
|
lineitem |
6001215 |
|
nation |
25 |
|
orders |
1500000 |
|
part |
200000 |
|
partsupp |
800000 |
|
region |
5 |
|
supplier |
10000 |
Use an app like cyberduck to transfer files from local machine to the cluster. After installing the app, the only step is to establish a connection between local machine and the server. Following figure shows what information you should input. Choose SFTP (SSH ...), input Server either turing.hpc.odu.edu or wahab.hpc.odu.edu, your Username and password. Then, click connect. Authentication may needed for connection.
Write and run queries on the dataset. For each question, please only use one query.
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