class BinaryFileFormat extends TextBasedFileFormat with DataSourceRegister
File format used for structured streaming of binary files
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def
buildReader(sparkSession: SparkSession, dataSchema: StructType, partitionSchema: StructType, requiredSchema: StructType, filters: Seq[Filter], options: Map[String, String], hadoopConf: Configuration): (PartitionedFile) ⇒ Iterator[InternalRow]
- Definition Classes
- BinaryFileFormat → FileFormat
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def
buildReaderWithPartitionValues(sparkSession: SparkSession, dataSchema: StructType, partitionSchema: StructType, requiredSchema: StructType, filters: Seq[Filter], options: Map[String, String], hadoopConf: Configuration): (PartitionedFile) ⇒ Iterator[InternalRow]
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equals(other: Any): Boolean
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finalize(): Unit
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hashCode(): Int
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def
inferSchema(sparkSession: SparkSession, options: Map[String, String], files: Seq[FileStatus]): Option[StructType]
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- BinaryFileFormat → FileFormat
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def
isInstanceOf[T0]: Boolean
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def
isSplitable(sparkSession: SparkSession, options: Map[String, String], path: Path): Boolean
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- BinaryFileFormat → TextBasedFileFormat → FileFormat
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notifyAll(): Unit
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def
prepareWrite(sparkSession: SparkSession, job: Job, options: Map[String, String], dataSchema: StructType): OutputWriterFactory
- Definition Classes
- BinaryFileFormat → FileFormat
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def
shortName(): String
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- BinaryFileFormat → DataSourceRegister
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def
supportBatch(sparkSession: SparkSession, dataSchema: StructType): Boolean
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- FileFormat
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def
supportDataType(dataType: DataType): Boolean
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def
supportFieldName(name: String): Boolean
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def
toString(): String
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def
vectorTypes(requiredSchema: StructType, partitionSchema: StructType, sqlConf: SQLConf): Option[Seq[String]]
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- FileFormat
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final
def
wait(): Unit
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wait(arg0: Long, arg1: Int): Unit
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wait(arg0: Long): Unit
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