org.apache.spark.sql.v2.avro.AvroScan.scala Maven / Gradle / Ivy
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package org.apache.spark.sql.v2.avro
import scala.collection.JavaConverters._
import org.apache.hadoop.fs.Path
import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.avro.AvroOptions
import org.apache.spark.sql.catalyst.expressions.Expression
import org.apache.spark.sql.connector.read.PartitionReaderFactory
import org.apache.spark.sql.execution.datasources.PartitioningAwareFileIndex
import org.apache.spark.sql.execution.datasources.v2.FileScan
import org.apache.spark.sql.types.StructType
import org.apache.spark.sql.util.CaseInsensitiveStringMap
import org.apache.spark.util.SerializableConfiguration
case class AvroScan(
sparkSession: SparkSession,
fileIndex: PartitioningAwareFileIndex,
dataSchema: StructType,
readDataSchema: StructType,
readPartitionSchema: StructType,
options: CaseInsensitiveStringMap,
partitionFilters: Seq[Expression] = Seq.empty,
dataFilters: Seq[Expression] = Seq.empty) extends FileScan {
override def isSplitable(path: Path): Boolean = true
override def createReaderFactory(): PartitionReaderFactory = {
val caseSensitiveMap = options.asCaseSensitiveMap.asScala.toMap
// Hadoop Configurations are case sensitive.
val hadoopConf = sparkSession.sessionState.newHadoopConfWithOptions(caseSensitiveMap)
val broadcastedConf = sparkSession.sparkContext.broadcast(
new SerializableConfiguration(hadoopConf))
val parsedOptions = new AvroOptions(caseSensitiveMap, hadoopConf)
// The partition values are already truncated in `FileScan.partitions`.
// We should use `readPartitionSchema` as the partition schema here.
AvroPartitionReaderFactory(sparkSession.sessionState.conf, broadcastedConf,
dataSchema, readDataSchema, readPartitionSchema, parsedOptions)
}
override def withFilters(
partitionFilters: Seq[Expression], dataFilters: Seq[Expression]): FileScan =
this.copy(partitionFilters = partitionFilters, dataFilters = dataFilters)
override def equals(obj: Any): Boolean = obj match {
case a: AvroScan => super.equals(a) && dataSchema == a.dataSchema && options == a.options
case _ => false
}
override def hashCode(): Int = super.hashCode()
}