Type Members

1.  class ParquetDataSourceV2 extends FileDataSourceV2
2.  case class ParquetPartitionReaderFactory(sqlConf: SQLConf, broadcastedConf: Broadcast[SerializableConfiguration], dataSchema: StructType, readDataSchema: StructType, partitionSchema: StructType, filters: Array[Filter], parquetOptions: ParquetOptions) extends FilePartitionReaderFactory with Logging with Product with Serializable

   A factory used to create Parquet readers.

   A factory used to create Parquet readers.

   sqlConf

   SQL configuration.

   broadcastedConf

   Broadcast serializable Hadoop Configuration.

   dataSchema

   Schema of Parquet files.

   readDataSchema

   Required schema of Parquet files.

   partitionSchema

   Schema of partitions.

   filters

   Filters to be pushed down in the batch scan.

   parquetOptions

   The options of Parquet datasource that are set for the read.

3.  case class ParquetScan(sparkSession: SparkSession, hadoopConf: Configuration, fileIndex: PartitioningAwareFileIndex, dataSchema: StructType, readDataSchema: StructType, readPartitionSchema: StructType, pushedFilters: Array[Filter], options: CaseInsensitiveStringMap, partitionFilters: Seq[Expression] = Seq.empty, dataFilters: Seq[Expression] = Seq.empty) extends FileScan with Product with Serializable
4.  case class ParquetScanBuilder(sparkSession: SparkSession, fileIndex: PartitioningAwareFileIndex, schema: StructType, dataSchema: StructType, options: CaseInsensitiveStringMap) extends FileScanBuilder with SupportsPushDownFilters with Product with Serializable
5.  case class ParquetTable(name: String, sparkSession: SparkSession, options: CaseInsensitiveStringMap, paths: Seq[String], userSpecifiedSchema: Option[StructType], fallbackFileFormat: Class[_ <: FileFormat]) extends FileTable with Product with Serializable
6.  case class ParquetWrite(paths: Seq[String], formatName: String, supportsDataType: (DataType) => Boolean, info: LogicalWriteInfo) extends FileWrite with Logging with Product with Serializable