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這篇文章將為大家詳細(xì)講解有關(guān)springdata jpa如何使用Example快速實現(xiàn)動態(tài)查詢功能,小編覺得挺實用的,因此分享給大家做個參考,希望大家閱讀完這篇文章后可以有所收獲。
Query by Example (QBE) is a user-friendly querying technique with a simple interface. It allows dynamic query creation and does not require to write queries containing field names. In fact, Query by Example does not require to write queries using store-specific query languages at all.
谷歌翻譯:
按例查詢(QBE)是一種用戶界面友好的查詢技術(shù)。 它允許動態(tài)創(chuàng)建查詢,并且不需要編寫包含字段名稱的查詢。 實際上,按示例查詢不需要使用特定的數(shù)據(jù)庫的查詢語言來編寫查詢語句。
Probe
:含有對應(yīng)字段的實例對象。
ExampleMatcher
:ExampleMatcher攜帶有關(guān)如何匹配特定字段的詳細(xì)信息,相當(dāng)于匹配條件。
Example
:由Probe和ExampleMatcher組成,用于查詢。
屬性不支持嵌套或者分組約束,比如這樣的查詢 firstname = ?0 or (firstname = ?1 and lastname = ?2)
靈活匹配只支持字符串類型,其他類型只支持精確匹配
Limitations
1. No support for nested/grouped property constraints like firstname = ?0 or (firstname = ?1 and lastname = ?2)
2. Only supports starts/contains/ends/regex matching for strings and exact matching for other property types
創(chuàng)建實體映射:
@Entity @Table(name="t_user") @Data @AllArgsConstructor @NoArgsConstructor @ToString public class User { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private Integer id; @Column(name="username") private String username; @Column(name="password") private String password; @Column(name="email") private String email; @Column(name="phone") private String phone; @Column(name="address") private String address; }
@Test public void contextLoads() { User user = new User(); user.setUsername("admin"); Example<User> example = Example.of(user); List<User> list = userRepository.findAll(example); System.out.println(list); }
打印的sql語句如下:
Hibernate: select user0_.id as id1_0_, user0_.address as address2_0_, user0_.email as email3_0_, user0_.password as password4_0_, user0_.phone as phone5_0_, user0_.username as username6_0_ from t_user user0_ where user0_.username=?
可以發(fā)現(xiàn),試用Example查詢,默認(rèn)情況下會忽略空值,官方文檔也有說明:
This is a simple domain object. You can use it to create an Example. By default, fields having null values are ignored, and strings are matched using the store specific defaults. Examples can be built by either using the of factory method or by using ExampleMatcher. Example is immutable.
在上面的測試之中,我們只是只是定義了Probe而沒有ExampleMatcher,是因為默認(rèn)會不傳時會使用默認(rèn)的匹配器。點進(jìn)方法可以看到下面的代碼:
static <T> Example<T> of(T probe) { return new TypedExample(probe, ExampleMatcher.matching()); } static ExampleMatcher matching() { return matchingAll(); } static ExampleMatcher matchingAll() { return (new TypedExampleMatcher()).withMode(ExampleMatcher.MatchMode.ALL); }
@Test public void contextLoads() { User user = new User(); user.setUsername("y"); user.setAddress("sh"); user.setPassword("admin"); ExampleMatcher matcher = ExampleMatcher.matching() .withMatcher("username", ExampleMatcher.GenericPropertyMatchers.startsWith())//模糊查詢匹配開頭,即{username}% .withMatcher("address" ,ExampleMatcher.GenericPropertyMatchers.contains())//全部模糊查詢,即%{address}% .withIgnorePaths("password");//忽略字段,即不管password是什么值都不加入查詢條件 Example<User> example = Example.of(user ,matcher); List<User> list = userRepository.findAll(example); System.out.println(list); }
打印的sql語句如下:
select user0_.id as id1_0_, user0_.address as address2_0_, user0_.email as email3_0_, user0_.password as password4_0_, user0_.phone as phone5_0_, user0_.username as username6_0_ from t_user user0_ where ( user0_.username like ? ) and ( user0_.address like ? )
參數(shù)如下:
2018-03-24 13:26:57.425 TRACE 5880 --- [ main] o.h.type.descriptor.sql.BasicBinder : binding parameter [1] as [VARCHAR] - [y%]
2018-03-24 13:26:57.425 TRACE 5880 --- [ main] o.h.type.descriptor.sql.BasicBinder : binding parameter [2] as [VARCHAR] - [%sh%]
ExampleMatcher matcher = ExampleMatcher.matching() .withMatcher("firstname", match -> match.endsWith()) .withMatcher("firstname", match -> match.startsWith()); }
Matching | 生成的語句 | 說明 |
---|---|---|
DEFAULT (case-sensitive) | firstname = ?0 | 默認(rèn)(大小寫敏感) |
DEFAULT (case-insensitive) | LOWER(firstname) = LOWER(?0) | 默認(rèn)(忽略大小寫) |
EXACT (case-sensitive) | firstname = ?0 | 精確匹配(大小寫敏感) |
EXACT (case-insensitive) | LOWER(firstname) = LOWER(?0) | 精確匹配(忽略大小寫) |
STARTING (case-sensitive) | firstname like ?0 + ‘%' | 前綴匹配(大小寫敏感) |
STARTING (case-insensitive) | LOWER(firstname) like LOWER(?0) + ‘%' | 前綴匹配(忽略大小寫) |
ENDING (case-sensitive) | firstname like ‘%' + ?0 | 后綴匹配(大小寫敏感) |
ENDING (case-insensitive) | LOWER(firstname) like ‘%' + LOWER(?0) | 后綴匹配(忽略大小寫) |
CONTAINING (case-sensitive) | firstname like ‘%' + ?0 + ‘%' | 模糊查詢(大小寫敏感) |
CONTAINING (case-insensitive) | LOWER(firstname) like ‘%' + LOWER(?0) + ‘%' | 模糊查詢(忽略大小寫) |
說明:
1. 在默認(rèn)情況下(沒有調(diào)用withIgnoreCase())都是大小寫敏感的。
2. api之中還有個regex,但是我在mysql下測試報錯,不了解具體作用。
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