Help Center/
MapReduce Service/
Developer Guide (Normal_3.x)/
Impala Development Guide (Normal Mode)/
Application Development/
Querying Data
Updated on 2022-08-16 GMT+08:00
Querying Data
Function Description
This section describes how to use Impala SQL to query and analyze data. You can query and analyze data using the following methods:
- Use common features of a SELECT query, such as JOIN.
- Load data to a specified partition.
- Use built-in functions of Impala.
- Query and analyze data using user-defined functions. For details about how to create and define functions, see User-defined Functions.
Sample Code
-- Query contact information of employees whose salaries are paid in USD. SELECT a.name, b.tel_phone, b.email FROM employees_info a JOIN employees_contact b ON(a.id = b.id) WHERE usd_flag='D'; -- Query the IDs and names of employees who were hired in 2014, and load the query results to the partition with the hire date of 2014 in the employees_info_extended table. INSERT OVERWRITE TABLE employees_info_extended PARTITION (entrytime = '2014') SELECT a.id, a.name, a.usd_flag, a.salary, a.deductions, a.address, b.tel_phone, b.email FROM employees_info a JOIN employees_contact b ON (a.id = b.id) WHERE a.entrytime = '2014'; -- Use the existing function COUNT() in Impala to calculate the number of records in the employees_info table. SELECT COUNT(*) FROM employees_info; -- Query information about employees whose email addresses end with "cn". SELECT a.name, b.tel_phone FROM employees_info a JOIN employees_contact b ON (a.id = b.id) WHERE b.email like '%cn';
Extended Applications
For details about user-defined functions, see User-defined Functions.
Parent topic: Application Development
Feedback
Was this page helpful?
Provide feedbackThank you very much for your feedback. We will continue working to improve the documentation.See the reply and handling status in My Cloud VOC.
The system is busy. Please try again later.
For any further questions, feel free to contact us through the chatbot.
Chatbot