Hibernate is the ORM tool given to transfer the data between a java (object) application and a database (Relational) in the form of the objects. Hibernate is a non-invasive framework, which means it won't force the programmers to extend/implement any class/interface, and in hibernate, we have all POJO classes so it's lightweight.

Metadata is "data that provides information about other data", but not the content of the data, such as the text of a message or the image itself. There are many distinct types of metadata, including:

Descriptive metadata- the descriptive information about a resource. It is used for discovery and identification. It includes elements such as title, abstract, author, and keywords.

Structural metadata- metadata about containers of data and indicates how compound objects are put together, for example, how pages are ordered to form chapters. It describes the types, versions, relationships, and other characteristics of digital materials.

Administrative metadata- the information to help manage a resource, like a resource type, permissions, and when and how it was created.

Reference metadata- the information about the contents and quality of statistical data.

Statistical metadata- also called process data, may describe processes that collect, process, or produce statistical data.

Legal metadata- provides information about the creator, copyright holder, and public licensing, if provided.

Metadata is not strictly bound to one of these categories, as it can describe a piece of data in many other ways.

Hibernate could be very flexible, so it defines many psi (service issuer interfaces) that you could register to customize hibernate internals. The sort of interface is org.Hibernate.Integrator.Spi.Integrator is utilized by many technologies that combine with hibernate orm, like bean validation, Envers, or JACC Security Provider.

With the usage of the hibernate integrator API, we can write our issue that captures the session factory construct-time metadata which, in any other case, is most effective available all through bootstrap.

    implements org.hibernate.integrator.spi.Integrator {

    public static final MetadataExtractorIntegrator INSTANCE =

        new MetadataExtractorIntegrator();

        SessionFactoryImplementor sessionFactory,

        SessionFactoryServiceRegistry serviceRegistry) {

        database = metadata.getDatabase();

The org.hibernate.boot.model.relational.The database is what we are interested in since it contains all the database-related metadata.

To register MetadataExtractorIntegrator with Hibernate we have two possibilities based on the bootstrap method.

If you’re using the Hibernate-native bootstrap, then you can register the Integrator with the BootstrapServiceRegistryBuilder as follows:

final BootstrapServiceRegistry bootstrapServiceRegistry =

    new BootstrapServiceRegistryBuilder()

    .applyIntegrator(MetadataExtractorIntegrator.INSTANCE)

final StandardServiceRegistry serviceRegistry =

    new StandardServiceRegistryBuilder(bootstrapServiceRegistry)

for(Namespace namespace : MetadataExtractorIntegrator.INSTANCE

    for( Table table : namespace.getTables()) {

        LOGGER.info( "Table {} has the following columns: {}",

                Spliterators.spliteratorUnknownSize(

                    table.getColumnIterator(),

            .collect( Collectors.toList())

Hibernate generates the following output:

Table org.hibernate.mapping.Table(post) has the following columns: [

    org.hibernate.mapping.Column(version)

Table org.hibernate.mapping.Table(post_comment) has the following columns: [

    org.hibernate.mapping.Column(review),

    org.hibernate.mapping.Column(version),

    org.hibernate.mapping.Column(post_id)

Table org.hibernate.mapping.Table(post_details) has the following columns: [

    org.hibernate.mapping.Column(created_by),

    org.hibernate.mapping.Column(created_on),

Table org.hibernate.mapping.Table(post_tag) has the following columns: [

    org.hibernate.mapping.Column(post_id),

Table org.hibernate.mapping.Table(tag) has the following columns: [

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