sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/MicroBatchScanExec.scala

/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You under the Apache License, Version 2.0
 * (the "License"); you may not use this file except in compliance with
 * the License.  You may obtain a copy of the License at
 *
 *    http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
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package org.apache.spark.sql.execution.datasources.v2

import org.apache.spark.rdd.RDD
import org.apache.spark.sql.catalyst.InternalRow
import org.apache.spark.sql.catalyst.expressions.Attribute
import org.apache.spark.sql.connector.read.{InputPartition, PartitionReaderFactory, Scan}
import org.apache.spark.sql.connector.read.streaming.{MicroBatchStream, Offset}

/**
 * Physical plan node for scanning a micro-batch of data from a data source.
 */
case class MicroBatchScanExec(
    output: Seq[Attribute],
    @transient scan: Scan,
    @transient stream: MicroBatchStream,
    @transient start: Offset,
    @transient end: Offset) extends DataSourceV2ScanExecBase {

  // TODO: unify the equal/hashCode implementation for all data source v2 query plans.
  override def equals(other: Any): Boolean = other match {
    case other: MicroBatchScanExec => this.stream == other.stream
    case _ => false
  }

  override def hashCode(): Int = stream.hashCode()

  override lazy val partitions: Seq[InputPartition] = stream.planInputPartitions(start, end)

  override lazy val readerFactory: PartitionReaderFactory = stream.createReaderFactory()

  override lazy val inputRDD: RDD[InternalRow] = {
    new DataSourceRDD(sparkContext, partitions, readerFactory, supportsColumnar, customMetrics)
  }
}