HasorDB 4.3.2 released to enhance the use of CRUD in pure Map mode

introduce

HasorDB is a full-featured database access tool that provides object mapping, rich type handling, dynamic SQL, stored procedures, 20+ built-in paging dialects, support for nested transactions, multiple data sources, conditional constructors, INSERT strategies, multiple statements/multiple result. And compatible with Spring and MyBatis usage. It does not depend on any other framework, so it can be easily integrated with any framework.

Features

• familiar way

  • JdbcTemplate interface (highly compatible with Spring JDBC)
  • Mapper file method (highly compatible with MyBatis)
  • LambdaTemplate (highly close to MyBatis Plus, jOOQ and BeetlSQL)
  • @Insert, @Update, @Delete, @Query, @Callable annotations (similar to JPA)

• Transaction support

  • Supports 5 transaction isolation levels, 7 transaction propagation behaviors (same as Spring tx)
  • Provides TransactionTemplate, TransactionManager interface mode declarative transaction control capabilities (same usage as Spring)

• Features and advantages

  • Supports paginated queries and provides multiple database dialects (20+)
  • Support for INSERT strategies (INTO, UPDATE, IGNORE)
  • Richer TypeHandler (MyBatis 40+, HasorDB 60+)
  • Mapper XML supports multiple statements and multiple results
  • Provide a unique rule expansion mechanism to make dynamic SQL easier @{xxx, expr , xxxxx } 
  • Support for stored procedures
  • Supports time types in JDBC 4.2 and Java8
  • Support for multiple data sources

Release.Node

• New feature, Lambda support for pure Map is more friendly, and LambdaTemplate can be used in an entityless way at present
• Official documentation site: http://www.hasor.cn , https://www.hasordb.net

import dependencies

The latest version of HasorDB so far is: 4.3.2

• The latest version can also be found at https://mvnrepository.com/artifact/net.hasor/hasor-db  

<dependency>
    <groupId>net.hasor</groupId>
    <artifactId>hasor-db</artifactId>
    <version>4.3.2</version>
</dependency>

Then introduce the database driver. Take MySQL and Maven as an example:

<dependency>
    <groupId>mysql</groupId>
    <artifactId>mysql-connector-java</artifactId>
    <version>8.0.22</version>
</dependency>

You can use HasorDB without relying on database connection pools, but database connection pools are standard in most projects. Here we use Alibaba's Druid

<dependency>
    <groupId>com.alibaba</groupId>
    <artifactId>druid</artifactId>
    <version>1.1.23</version>
</dependency>

Finally prepare a database table and initialize some data ( CreateDB.sql files)

drop table if exists `test_user`;
    create table `test_user` (
    `id`          int(11) auto_increment,
    `name`        varchar(255),
    `age`         int,
    `create_time` datetime,
    primary key (`id`)
);

insert into `test_user` values (1, 'mali', 26, now());
insert into `test_user` values (2, 'dative', 32, now());
insert into `test_user` values (3, 'jon wes', 41, now());
insert into `test_user` values (4, 'mary', 66, now());
insert into `test_user` values (5, 'matt', 25, now());

execute SQL

Use SQL to read data, PrintUtils and two tool classes can be found in the example project DsUtils 

// 创建数据源
DataSource dataSource = DsUtils.dsMySql();
LambdaTemplate lambdaTemplate = new LambdaTemplate(dataSource);

// 新增Map<String, Object> newValue = new HashMap<>();
newValue.put("id", 20);
newValue.put("name", "new name");
newValue.put("age", 88);
newValue.put("create_time", new Date());

InsertOperation<Map<String, Object>> insert = lambdaTemplate.lambdaInsert("test_user");
int result = insert.applyMap(newValue).executeSumResult()
// 更新Map<String, Object> updateValue = new HashMap<>();
updateValue.put("name", "new name");
updateValue.put("age", 88);

MapUpdateOperation update = lambdaTemplate.lambdaUpdate("test_user");
int result = update.eq("id", 1).updateByMap(updateValue).doUpdate();
// 查询
List<Map<String, Object>> mapList = jdbcTemplate.queryForList("select * from test_user");
// 打印测试数据
PrintUtils.printMapList(mapList)