changes (DataStreamReader)

Returns the row-level changes (Change Data Capture) from the specified table as a streaming DataFrame. Currently only supported for Data Source V2 tables whose catalog implements TableCatalog.loadChangelog(). Use option() to specify the starting version or timestamp and processing options.

Syntax

changes(tableName)

Parameters

Parameter	Type	Description
tableName	str	Name of the table.

Returns

DataFrame

Examples

Python

spark.readStream.option("startingVersion", "10").changes("my_table")