it.agilelab.darwin.common

Connector

trait Connector extends Serializable

Generic abstraction of a component capable of reading and writing Schema entities in an external storage. The external storage should keep at least the ID (Long) and the schema (Schema) for each entry.

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Abstract Value Members

  1. abstract def createTable(): Unit

    Creates the configured table, if the table already exists, does nothing

  2. abstract def findSchema(id: Long): Option[Schema]

    Retrieves a single schema using its ID from the storage.

    Retrieves a single schema using its ID from the storage.

    id

    the ID of the schema

    returns

    an option that is empty if no schema was found for the ID or defined if a schema was found

  3. abstract def fullLoad(): Seq[(Long, Schema)]

    Loads all schemas found on the storage.

    Loads all schemas found on the storage. This method can be invoked multiple times: to initialize the initial values or to update the existing ones with the new data found on the storage.

    returns

    a sequence of all the pairs (ID, schema) found on the storage

  4. abstract def insert(schemas: Seq[(Long, Schema)]): Unit

    Inserts all the schema passed as parameters in the storage.

    Inserts all the schema passed as parameters in the storage. This method is called when new schemas should be registered in the storage (the test if a schema is already in the storage should be performed before the invocation of this method, e.g. by checking them against the pre-loaded cache).

    schemas

    a sequence of pairs (ID, schema) Schema entities to insert in the storage.

  5. abstract def tableCreationHint(): String

    returns

    a message indicating the user what he/she should do to create the table him/herself

  6. abstract def tableExists(): Boolean

    Returns whether or not the configured table exists

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