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Update README.md

Git-Leon 7 years ago
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-# Pagination
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+# Part 6 - Pagination
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 * To optimize performance, it is important to limit the amount of data returned, especially in the case of a mobile client.
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 * REST services have the ability to give clients access large datasets in manageable chunks, by splitting the data into discrete pages or _paging data_. 
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 * For this lab, we will approach this by implementing the _page number pagination pattern_.
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-# Taking Action!
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+# Part 6.1 - Load Dummy Poll Data
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-1. Create a `src/main/resource/import.sql` file with [DML statements](http://lmgtfy.com/?q=DML+statement) for populating the database upon bootstrap. The `import.sql` should insert at least 10 polls, each with 3 or more options.
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+* Create a `src/main/resource/import.sql` file with [DML statements](http://lmgtfy.com/?q=DML+statement) for populating the database upon bootstrap. The `import.sql` should insert at least 15 polls, each with 3 or more options.
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 	* Below is an example of `SQL` statements for creating a single poll with only one option.
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 		* Poll Creation
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 			insert into option (option_id, option_value, poll_id) values (1, 'Red', 1);
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 			``` 
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-2. Restart your application.
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-3. Ensure database is populated by `import.sql`.
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-4. Utilize Spring's built-in page number pagination support by researching the `PagingAndSortingRepository` class.
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-5. Ensure the `Controller` methods handle `Pageable` arguments.
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-6. Send a `GET` request to `http://localhost:8080/polls?page=0&size=2` via Postman.
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+* Restart your application.
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+* Use Postman to ensure database is populated by `import.sql`.
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+# Part 6.2 - Spring's Built-in Pagination
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+* Make use of Spring's built-in page number pagination support by researching `org.springframework.data.repository.PagingAndSortingRepository`.
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+* Modify respective `Controller` methods to handle `Pageable` arguments.
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+* Send a `GET` request to `http://localhost:8080/polls?page=0&size=2` via Postman.
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 	* Ensure the response is a `JSON` object with pagination-specific information.