Usually, you can compare the following database objects: columns, primary keys, foreign keys, indexes, and so on (it depends on your database). In this case (and only for these databases), it is possible to compare the entire datasources. However, some databases (such as SQLite and Firebird) do not have catalogs and schemes that can be compared. In most cases, you can compare schemas, databases, or tables. Liquibase change report (JSON, YAML, or plaintext).DDL script (series of create/alter/drop statements).You can compare two schema/database structures and generate a report in the following formats: Additional object types in Liquibase PROĭatabases supporting schema comparison.Using schema compare with Liquibase PRO key.NB: This feature is available in Enterprise, Ultimate and Team editions only. Importing CA certificates from your local Java into DBeaver.Connecting to Oracle Database using JDBC OCI driver.Installing extensions - Themes, version control, etc.Let’s say you have value type Val with the following definition. Generic parameters are supported when some upper level JSON document object specify actual type parameters, so nested document value objects that are parametrized may know exact type used in the context. Please refer to Gson reference Generic parameters To add custom binding for types, other than immutable values, use Gson APIs. Where value objects are adapted to a representation rather than free-form objects having complex To have direct and straightforward mappings to JSON derived from the structure of value objects, While there’s certain amount of customization (like changing field names in JSON), the basic idea is Immutable values having only constructor - arrays of constructor arguments.Optional attributes - as nullable fields.Map and Multimaps mapped to JSON object (keys always converted to strings).Lists, Sets, Maps, Optional and other supported containers of the above types:.Nested documents/objects - supported as long as corresponding type adapter would be registered with Gson.Java primitives and Strings - work as built-in types.class ) interface Val Īutomatically generated bindings are straightforward and generally useful. Style ( builder = "new" ) // builder has to have constructor ( builder = ImmutableVal. To enable this, you should use annotation. Integration works by generating factory method and puts on immutable implementations. It is recommended to use Jackson version 2.4+, but earlier versions can work also. No additional dependencies are required except for Immutables processor and Jackson Overall Jackson doesn’t require any serious code generation to be flexible and highly performant Helper classes to integrate Gson streaming with Jackson streaming to squeeze maximum performance.Generation of TypeAdapterFactories which use no reflection.No custom runtime APIs, Gson APIs are used. Delegates everything back to Jackson using its powerful binding engine.Generation of annotations and a helper class.Instead of the old generated marshaler infrastructure based on Jackson streaming (jackson-core), two new integrations available: This made integration a lot less exotic and more comprehensible. Immutables JSON integration underwent an overhaul for 2.0. Moreover, using libraries like Jackson, you can use various additional textual and binary formats: It’s not uncommon to use immutable object as messages or documents to transfer or store data.
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