Package org.apache.spark.sql.connector.read.streaming

Interface MicroBatchStream

All Superinterfaces:

SparkDataStream

@Evolving
public interface MicroBatchStream
extends SparkDataStream

A SparkDataStream for streaming queries with micro-batch mode.

Since:

3.0.0

Method Summary

Modifier and Type	Method	Description
PartitionReaderFactory	createReaderFactory()	Returns a factory to create a PartitionReader for each InputPartition.
Offset	latestOffset()	Returns the most recent offset available.
InputPartition[]	planInputPartitions(Offset start, Offset end)	Returns a list of input partitions given the start and end offsets.

Methods inherited from interface org.apache.spark.sql.connector.read.streaming.SparkDataStream

commit, deserializeOffset, initialOffset, stop

Method Details

latestOffset

Offset latestOffset()

Returns the most recent offset available.

planInputPartitions

InputPartition[] planInputPartitions(Offset start,
 Offset end)

Returns a list of input partitions given the start and end offsets. Each InputPartition represents a data split that can be processed by one Spark task. The number of input partitions returned here is the same as the number of RDD partitions this scan outputs.

If the Scan supports filter pushdown, this stream is likely configured with a filter and is responsible for creating splits for that filter, which is not a full scan.

This method will be called multiple times, to launch one Spark job for each micro-batch in this data stream.

createReaderFactory

PartitionReaderFactory createReaderFactory()

Returns a factory to create a PartitionReader for each InputPartition.