Hive JDBC Sample Program Development Roadmap
Scenarios
A user develops a Hive data analysis application for managing employee information described in Table 1 and Table 2.
Procedure
- Prepare data.
- Create three tables: employee information table employees_info, contact table employees_contact, and extended employee information table employees_info_extended.
- Fields in the employees_info table include the employee ID, name, salary currency, salary, tax category, work place, and hiring date. R indicates RMB, and D indicates USD.
- Fields in the employees_contact table include the employee ID, mobile phone number, and e-mail address.
- Fields in the employees_info_extended table include the employee ID, name, mobile phone number, e-mail address, salary currency, salary, tax category, and work place. The partition field is the hiring date.
For table creation codes, see Creating a Hive Table.
- Load employee information to employees_info.
For data loading codes, see Loading Data to the Hive Table.
Table 1 describes employee information.
Table 1 Employee information ID
Name
Salary Currency
Salary
Tax Category
Work Place
Hiring Date
1
Wang
R
8000.01
personal income tax&0.05
Country1:City1
2014
3
Tom
D
12000.02
personal income tax&0.09
Country2:City2
2014
4
Jack
D
24000.03
personal income tax&0.09
Country3:City3
2014
6
Linda
D
36000.04
personal income tax&0.09
Country4:City4
2014
8
Zhang
R
9000.05
personal income tax&0.05
Country5:City5
2014
- Load employee contact information to employees_contact.
Table 2 describes employee contact information.
- Create three tables: employee information table employees_info, contact table employees_contact, and extended employee information table employees_info_extended.
- Analyze data.
For data analysis codes, see Querying the Hive Table Data.
- Query contact information of employees whose salaries are paid in USD.
- Query the IDs and names of employees who were hired in 2014, and load query results to the partition with the hiring time of 2014 in employees_info_extended.
- Collect statistics for the number of records in the employees_info table.
- Query information about employees whose email addresses end with "cn".
- Submit a data analysis task to collect statistics for the number of records in the employees_info table.
For details about the implementation, see Hive JDBC Access Sample Program.
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