io.smartdatalake.workflow.dataobject
PKViolatorsDataObject
Related Docs:
object PKViolatorsDataObject
| package dataobject
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
A unique identifier for this instance.
A unique identifier for this instance.
Additional metadata for the DataObject
Additional metadata for the DataObject
Checks for Primary Key violations for all DataObjects with Primary Keys defined that are registered in the current InstanceRegistry. Returns the list of Primary Key violations as a DataFrame.
Alternatively, it can check for Primary Key violations of all DataObjects defined in config files. For this, the configuration "config" has to be set to the location of the config.
Example:
```dataObjects = { ... primarykey-violations { type = PKViolatorsDataObject config = path/to/myconfiguration.conf } ... }Refer to ConfigLoader.loadConfigFromFilesystem() for details about the configuration loading.