Loading initial data with Spring

August 20th, 2019

6 minute read

Java JPA Spring Spring boot Spring Data

I’ve been answering Spring related questions on Stack Overflow for the past three years now, and one of my most popular answers is about how to load initial data. While my solution over there works really fine, there are multiple solutions to this problem, and in this tutorial I’ll demonstrate which ones you have. This also allows me to fulfil my promise I made in my earlier tutorial about Spring Data JPA, where I said I would create a tutorial like this one.

Using Spring’s JDBC initializer

One of the nice features of Spring boot is that it will automatically pick up any schema.sql and data.sql files on the classpath if you’re using an embedded datasource.

For example, let’s say we have the following entity:

@Data
@Builder
@NoArgConstructor
@AllArgConstructor
@Entity
@Table(name = "marvel_character")
public class MarvelCharacter {
    @Id
    @Column(name = "hero_name")
    private String heroName;
    @Column(name = "first_name")
    private String firstName;
    @Column(name = "last_name")
    private String lastName;
}

In this case, we can set up our schema by creating a schema.sql file like this:

create table marvel_character (
    name        varchar(100)    not null,
    first_name  varchar(100)    not null,
    last_name   varchar(100)    not null,
    primary key (name)
);

Additionally, we can create a data.sql file like this:

insert into marvel_character (hero_name, first_name, last_name) values ('Iron man', 'Tony', 'Stark');
insert into marvel_character (hero_name, first_name, last_name) values ('Thor', 'Thor', 'Odinson');
insert into marvel_character (hero_name, first_name, last_name) values ('Black widow', 'Natasha', 'Romanova');
insert into marvel_character (hero_name, first_name, last_name) values ('Hawkeye', 'Clint', 'Barton');
insert into marvel_character (hero_name, first_name, last_name) values ('Spider-man', 'Peter', 'Parker');
insert into marvel_character (hero_name, first_name, last_name) values ('Captain America', 'Steve', 'Rogers');
insert into marvel_character (hero_name, first_name, last_name) values ('Hulk', 'Bruce', 'Banner');
insert into marvel_character (hero_name, first_name, last_name) values ('Ant-man', 'Scott', 'Lang');

There are a few caveats though. First of all, if you use JPA and an embedded datasource, your schema.sql won’t be taken into effect, because Hibernate’s DDL generation has priority over it.

A solution to that problem is to set the following property:

spring.jpa.hibernate.ddl-auto=none

Additionally, since Spring boot 2, the schema is only initialized by default for embedded datasources. To allow loading data for all types of datasources, you have to set the following property:

spring.datasource.initialization-mode=always

If you want to use multiple datasources, like an in-memory H2 database for development, and a MySQL database for production, you can name your files like schema-h2.sql and data-h2.sql.

However, this will only work if you set the following property:

spring.datasource.platform=h2

Last but not least, if you want to change the name of the files in a different way, or you want to execute multiple SQL scripts, you can use the spring.datasource.data property:

spring.datasource.data=classpath:script1.sql, classpath:script2.sql

Using Hibernate

I’ve already mentioned it before, but with Hibernate you can also automatically generate your DDL based on your entities by setting:

spring.jpa.hibernate.ddl-auto=create-drop

Additionally, when you do this, Hibernate will pick up a file called import.sql on the classpath, in which you can add your insert-statements, like we did before:

insert into marvel_character (hero_name, first_name, last_name) values ('Iron man', 'Tony', 'Stark');
insert into marvel_character (hero_name, first_name, last_name) values ('Thor', 'Thor', 'Odinson');
insert into marvel_character (hero_name, first_name, last_name) values ('Black widow', 'Natasha', 'Romanova');
insert into marvel_character (hero_name, first_name, last_name) values ('Hawkeye', 'Clint', 'Barton');
insert into marvel_character (hero_name, first_name, last_name) values ('Spider-man', 'Peter', 'Parker');
insert into marvel_character (hero_name, first_name, last_name) values ('Captain America', 'Steve', 'Rogers');
insert into marvel_character (hero_name, first_name, last_name) values ('Hulk', 'Bruce', 'Banner');
insert into marvel_character (hero_name, first_name, last_name) values ('Ant-man', 'Scott', 'Lang');

Just like with the Spring JDBC initializer, you can also configure which SQL scripts you want to load, by using the spring.jpa.properties.hibernate.hbm2ddl.import_files property:

spring.jpa.properties.hibernate.hbm2ddl.import_files=script1.sql, script2.sql

Using a repository

While the previous solutions used SQL statements to insert data into the database, you can also use your Spring data repository if you created one.

To be able to insert data into the database when the application is started, all you have to do is create a bean of type ApplicationRunner or CommandLineRunner, for example:

@Bean
public ApplicationRunner initializer(MarvelCharacterRepository repository) {
    return args -> repository.saveAll(Arrays.asList(
        MarvelCharacter.builder().heroName("Iron man").firstName("Tony").lastName("Stark").build(),
        MarvelCharacter.builder().heroName("Thor").firstName("Thor").lastName("Odinson").build(),
        MarvelCharacter.builder().heroName("Black widow").firstName("Natasha").lastName("Romanova").build(),
        MarvelCharacter.builder().heroName("Hawkeye").firstName("Clint").lastName("Barton").build(),
        MarvelCharacter.builder().heroName("Spider-man").firstName("Peter").lastName("Parker").build(),
        MarvelCharacter.builder().heroName("Captain America").firstName("Steve").lastName("Rogers").build(),
        MarvelCharacter.builder().heroName("Hulk").firstName("Bruce").lastName("Banner").build(),
        MarvelCharacter.builder().heroName("Ant-man").firstName("Scott").lastName("Lang").build()
    ));
}

The benefit of this approach is that you can do this programmatically. The downside however is that if you make a mistake in your entity mapping, you won’t notice it immediately, because your entities might still work out fine.

Using a custom DataSource

Rather than relying on the DataSource that’s being provided by the Spring boot’s autoconfiguration, you can also create your own DataSource. Using the EmbeddedDataSourceBuilder, you can easily add scripts you want to execute, for example:

@Bean
public DataSource dataSource() {
    return new EmbeddedDatabaseBuilder()
        .setName("marvelDB")
        .setType(EmbeddedDatabaseType.H2)
        .addScript("classpath:script1.sql")
        .addScript("classpath:script2.sql")
        // ...
        .build();
}

Be aware, this approach only works for embedded datasources, the regular DataSourceBuilder doesn’t have a fluent way for adding SQL scripts to load on startup.

Using database migrations

When you’re handling more complex DDLs, or you need more versioned control over your DDLs, you can use a database migration framework like Flyway or Liquibase.

The nice part is that both integrate nicely with Spring boot. For example, to use Flyway, all you have to do is to add the following dependency:

<dependency>
    <groupId>org.flywaydb</groupId>
    <artifactId>flyway-core</artifactId>
</dependency>

Additionally, you have to make sure that spring.flyway.enabled is true. Considering that this is the default value, there shouldn’t be any issue.

Now you can create a folder called db/migrations in your src/main/resources folder, so that it’s available on the classpath. Within this folder, you can create versioned SQL migration files, using the naming convention provided in the documentation.

For example, we can create a V1__create_table_marvel_hero.sql, containing the CREATE TABLE statement like before:

create table marvel_character (
    hero_name   varchar(100)    not null,
    first_name  varchar(100)    not null,
    last_name   varchar(100)    not null,
    primary key (hero_name)
);

Additionally, you can create a V1.1__insert_marvel_hero.sql file, for example:

insert into marvel_character (hero_name, first_name, last_name) values ('Iron man', 'Tony', 'Stark');
insert into marvel_character (hero_name, first_name, last_name) values ('Thor', 'Thor', 'Odinson');
insert into marvel_character (hero_name, first_name, last_name) values ('Black widow', 'Natasha', 'Romanova');
insert into marvel_character (hero_name, first_name, last_name) values ('Hawkeye', 'Clint', 'Barton');

Did you forget a column, or did you forget to add some records? No worries, crate a V1.2__insert_more_marvel_hero.sql file, and add the records you need:

insert into marvel_character (hero_name, first_name, last_name) values ('Spider-man', 'Peter', 'Parker');
insert into marvel_character (hero_name, first_name, last_name) values ('Captain America', 'Steve', 'Rogers');
insert into marvel_character (hero_name, first_name, last_name) values ('Hulk', 'Bruce', 'Banner');
insert into marvel_character (hero_name, first_name, last_name) values ('Ant-man', 'Scott', 'Lang');

Conclusion

With that, we’ve seen plenty of ways to set up your initial data. For every specific requirement, there is a solution. Whether or not you go for a fully fledged database migration framework, or for a simple SQL file, the choice is up to you.