org.apache.spark.sql.execution.streaming
Returns the data that is between the offsets (start, end].
Returns the data that is between the offsets (start, end]. When start is None,
then the batch should begin with the first record. This method must always return the
same data for a particular start and end pair; even after the Source has been restarted
on a different node.
Higher layers will always call this method with a value of start greater than or equal
to the last value passed to commit and a value of end less than or equal to the
last value returned by getOffset
It is possible for the Offset type to be a SerializedOffset when it was obtained from the log. Moreover, StreamExecution only compares the Offset JSON representation to determine if the two objects are equal. This could have ramifications when upgrading Offset JSON formats i.e., two equivalent Offset objects could differ between version. Consequently, StreamExecution may call this method with two such equivalent Offset objects. In which case, the Source should return an empty DataFrame
Returns the maximum available offset for this source.
Returns the maximum available offset for this source.
Returns None if this source has never received any data.
Returns the schema of the data from this source
Stop this source and free any resources it has allocated.
Informs the source that Spark has completed processing all data for offsets less than or
equal to end and will only request offsets greater than end in the future.
A source of continually arriving data for a streaming query. A Source must have a monotonically increasing notion of progress that can be represented as an Offset. Spark will regularly query each Source to see if any more data is available.