io.smartdatalake.workflow.dataobject
Creates the read schema based on a given write schema.
Creates the read schema based on a given write schema. Normally this is the same, but some DataObjects can remove & add columns on read (e.g. KafkaTopicDataObject, SparkFileDataObject) In this cases we have to break the DataFrame lineage und create a dummy DataFrame in init phase.
Returns the factory that can parse this type (that is, type CO).
Returns the factory that can parse this type (that is, type CO).
Typically, implementations of this method should return the companion object of the implementing class. The companion object in turn should implement FromConfigFactory.
the factory (object) for this class.
Handle class cast exception when getting objects from instance registry
Handle class cast exception when getting objects from instance registry
SparkSession to use
DataFrame including all Dataobjects in the instanceRegistry, used for exporting the metadata
A unique identifier for this instance.
A unique identifier for this instance.
Additional metadata for the DataObject
Additional metadata for the DataObject
Runs operations after reading from DataObject
Runs operations after reading from DataObject
Runs operations after writing to DataObject
Runs operations after writing to DataObject
Runs operations before reading from DataObject
Runs operations before reading from DataObject
Runs operations before writing to DataObject Note: As the transformed SubFeed doesnt yet exist in Action.preWrite, no partition values can be passed as parameters as in preRead
Runs operations before writing to DataObject Note: As the transformed SubFeed doesnt yet exist in Action.preWrite, no partition values can be passed as parameters as in preRead
Prepare & test DataObject's prerequisits
Prepare & test DataObject's prerequisits
This runs during the "prepare" operation of the DAG.
Exports a util DataFrame that contains properties and metadata extracted from all DataObjects that are registered in the current InstanceRegistry.
Alternatively, it can export the properties and metadata of all DataObjects defined in config files. For this, the configuration "config" has to be set to the location of the config.
Example:
```dataObjects = { ... dataobject-exporter { type = DataObjectsExporterDataObject config = path/to/myconfiguration.conf } ... }The config value can point to a configuration file or a directory containing configuration files.
Refer to ConfigLoader.loadConfigFromFilesystem() for details about the configuration loading.