Spring Boot use-project start automatically execute sql script

background

  • Before the project goes online, a batch of test data needs to be provided to the database. The data requirements are: after each modification of the defect and restart of the project, the test data will be initialized to the original data

main idea

  • In the SpringBoot architecture, the DataSourceInitializer class can initialize data after the project is started, and we can initialize the data by automatically executing a custom sql script. By customizing the DataSourceInitializer Bean, you can implement specific scripts according to business requirements.

use

  • Prerequisite: The project data source configuration is completed
  • method
    • Customize the DataSourceInitializer Bean through the three annotations @Configuration, @Bean and @Value, and now the business logic of automating the execution of the script is implemented in the definition of the Bean.
    • code show as below
package com.test.integration.rpc.initdata;

import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.io.Resource;
import org.springframework.jdbc.datasource.init.DataSourceInitializer;
import org.springframework.jdbc.datasource.init.DatabasePopulator;
import org.springframework.jdbc.datasource.init.ResourceDatabasePopulator;
import javax.sql.DataSource;

/**
 * @author test
 * @Description: 自定义初始化数据源
 * @date 2020/4/11
 */
@Configuration
public class CustomizeDataSourceInitializer {


    @Value("classpath:testSql/test_farms.sql")
    private Resource functionScriptFarms;
    @Value("classpath:testSql/test_miners.sql")
    private Resource functionScriptMiners;
    @Value("classpath:testSql/test_pool_config.sql")
    private Resource functionScriptPoolConfig;

    @Bean
    public DataSourceInitializer dataSourceInitializer(final DataSource dataSource) {
        final DataSourceInitializer initializer = new DataSourceInitializer();
        // 设置数据源
        initializer.setDataSource(dataSource);
        initializer.setDatabasePopulator(databasePopulator());
        return initializer;
    }

    private DatabasePopulator databasePopulator() {
        final ResourceDatabasePopulator populator = new ResourceDatabasePopulator();
        populator.addScripts(functionScriptFarms);
        populator.addScripts(functionScriptMiners);
        populator.addScripts(functionScriptPoolConfig);

        return populator;
    }

}
    • The SQL script is as follows: example test_pool_config.sql
delete from `pool_configs`;

INSERT INTO `pool_configs`(`pool_config_id`, `cdate`, `mdate`, `pool_config_mid` ) VALUES (1, '2020-04-10 18:02:54', '2020-04-10 18:02:54', 'bcf2a18a-b38b-4e3a-8852-7efbabc7954d');
INSERT INTO `pool_configs`(`pool_config_id`, `cdate`, `mdate`, `pool_config_mid` ) VALUES (2, '2020-04-10 18:02:54', '2020-04-10 18:02:54', 'bcf3a18a-b38b-4e3a-8852-7efbabc7954d');
INSERT INTO `pool_configs`(`pool_config_id`, `cdate`, `mdate`, `pool_config_mid` ) VALUES (3, '2020-04-10 18:02:54', '2020-04-10 18:02:54', 'bcf4a18a-b38b-4e3a-8852-7efbabc7954d');
INSERT INTO `pool_configs`(`pool_config_id`, `cdate`, `mdate`, `pool_config_mid` ) VALUES (4, '2020-04-10 18:02:54', '2020-04-10 18:02:54', 'bcf5a18a-b38b-4e3a-8852-7efbabc7954d ' );

 

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Origin www.cnblogs.com/zuiyue_jing/p/12681815.html