Class

org.apache.spark.sql.execution.datasources.json

JsonFileFormat

Related Doc: package json

Permalink

class JsonFileFormat extends TextBasedFileFormat with DataSourceRegister

Linear Supertypes
Ordering
  1. Alphabetic
  2. By Inheritance
Inherited
  1. JsonFileFormat
  2. DataSourceRegister
  3. TextBasedFileFormat
  4. FileFormat
  5. AnyRef
  6. Any
  1. Hide All
  2. Show All
Visibility
  1. Public
  2. All

Instance Constructors

  1. new JsonFileFormat()

    Permalink

Value Members

  1. final def !=(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  2. final def ##(): Int

    Permalink
    Definition Classes
    AnyRef → Any
  3. final def ==(arg0: Any): Boolean

    Permalink
    Definition Classes
    AnyRef → Any
  4. final def asInstanceOf[T0]: T0

    Permalink
    Definition Classes
    Any
  5. def buildReader(sparkSession: SparkSession, dataSchema: StructType, partitionSchema: StructType, requiredSchema: StructType, filters: Seq[Filter], options: Map[String, String], hadoopConf: Configuration): (PartitionedFile) ⇒ Iterator[InternalRow]

    Permalink

    Returns a function that can be used to read a single file in as an Iterator of InternalRow.

    Returns a function that can be used to read a single file in as an Iterator of InternalRow.

    dataSchema

    The global data schema. It can be either specified by the user, or reconciled/merged from all underlying data files. If any partition columns are contained in the files, they are preserved in this schema.

    partitionSchema

    The schema of the partition column row that will be present in each PartitionedFile. These columns should be appended to the rows that are produced by the iterator.

    requiredSchema

    The schema of the data that should be output for each row. This may be a subset of the columns that are present in the file if column pruning has occurred.

    filters

    A set of filters than can optionally be used to reduce the number of rows output

    options

    A set of string -> string configuration options.

    Definition Classes
    JsonFileFormatFileFormat
  6. def buildReaderWithPartitionValues(sparkSession: SparkSession, dataSchema: StructType, partitionSchema: StructType, requiredSchema: StructType, filters: Seq[Filter], options: Map[String, String], hadoopConf: Configuration): (PartitionedFile) ⇒ Iterator[InternalRow]

    Permalink

    Exactly the same as buildReader except that the reader function returned by this method appends partition values to InternalRows produced by the reader function buildReader returns.

    Exactly the same as buildReader except that the reader function returned by this method appends partition values to InternalRows produced by the reader function buildReader returns.

    Definition Classes
    FileFormat
  7. def clone(): AnyRef

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  8. final def eq(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  9. def equals(other: Any): Boolean

    Permalink
    Definition Classes
    JsonFileFormat → AnyRef → Any
  10. def finalize(): Unit

    Permalink
    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )
  11. final def getClass(): Class[_]

    Permalink
    Definition Classes
    AnyRef → Any
  12. def hashCode(): Int

    Permalink
    Definition Classes
    JsonFileFormat → AnyRef → Any
  13. def inferSchema(sparkSession: SparkSession, options: Map[String, String], files: Seq[FileStatus]): Option[StructType]

    Permalink

    When possible, this method should return the schema of the given files.

    When possible, this method should return the schema of the given files. When the format does not support inference, or no valid files are given should return None. In these cases Spark will require that user specify the schema manually.

    Definition Classes
    JsonFileFormatFileFormat
  14. final def isInstanceOf[T0]: Boolean

    Permalink
    Definition Classes
    Any
  15. def isSplitable(sparkSession: SparkSession, options: Map[String, String], path: Path): Boolean

    Permalink

    Returns whether a file with path could be splitted or not.

    Returns whether a file with path could be splitted or not.

    Definition Classes
    TextBasedFileFormatFileFormat
  16. final def ne(arg0: AnyRef): Boolean

    Permalink
    Definition Classes
    AnyRef
  17. final def notify(): Unit

    Permalink
    Definition Classes
    AnyRef
  18. final def notifyAll(): Unit

    Permalink
    Definition Classes
    AnyRef
  19. def prepareWrite(sparkSession: SparkSession, job: Job, options: Map[String, String], dataSchema: StructType): OutputWriterFactory

    Permalink

    Prepares a write job and returns an OutputWriterFactory.

    Prepares a write job and returns an OutputWriterFactory. Client side job preparation can be put here. For example, user defined output committer can be configured here by setting the output committer class in the conf of spark.sql.sources.outputCommitterClass.

    Definition Classes
    JsonFileFormatFileFormat
  20. def shortName(): String

    Permalink

    The string that represents the format that this data source provider uses.

    The string that represents the format that this data source provider uses. This is overridden by children to provide a nice alias for the data source. For example:

    override def shortName(): String = "parquet"
    Definition Classes
    JsonFileFormatDataSourceRegister
    Since

    1.5.0

  21. def supportBatch(sparkSession: SparkSession, dataSchema: StructType): Boolean

    Permalink

    Returns whether this format support returning columnar batch or not.

    Returns whether this format support returning columnar batch or not.

    TODO: we should just have different traits for the different formats.

    Definition Classes
    FileFormat
  22. final def synchronized[T0](arg0: ⇒ T0): T0

    Permalink
    Definition Classes
    AnyRef
  23. def toString(): String

    Permalink
    Definition Classes
    JsonFileFormat → AnyRef → Any
  24. final def wait(): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  25. final def wait(arg0: Long, arg1: Int): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )
  26. final def wait(arg0: Long): Unit

    Permalink
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from DataSourceRegister

Inherited from TextBasedFileFormat

Inherited from FileFormat

Inherited from AnyRef

Inherited from Any

Ungrouped