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Version: 0.5.4

extract.incremental.transform

IncrementalTransform Objects​

class IncrementalTransform()

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A base class for handling extraction and stateful tracking of incremental data from input data items.

By default, the descendant classes are instantiated within the dlt.extract.incremental.Incremental class.

Subclasses must implement the __call__ method which will be called for each data item in the extracted data.

deduplication_disabled​

@property
def deduplication_disabled() -> bool

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Skip deduplication when length of the key is 0

JsonIncremental Objects​

class JsonIncremental(IncrementalTransform)

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Extracts incremental data from JSON data items.

find_cursor_value​

def find_cursor_value(row: TDataItem) -> Any

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Finds value in row at cursor defined by self.cursor_path.

Will use compiled JSONPath if present, otherwise it reverts to column search if row is dict

__call__​

def __call__(row: TDataItem) -> Tuple[Optional[TDataItem], bool, bool]

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Returns:

Tuple (row, start_out_of_range, end_out_of_range) where row is either the data item or None if it is completely filtered out

This demo works on codespaces. Codespaces is a development environment available for free to anyone with a Github account. You'll be asked to fork the demo repository and from there the README guides you with further steps.
The demo uses the Continue VSCode extension.

Off to codespaces!

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