case class HadoopFsRelation(location: FileIndex, partitionSchema: StructType, dataSchema: StructType, bucketSpec: Option[BucketSpec], fileFormat: FileFormat, options: Map[String, String])(sparkSession: SparkSession) extends BaseRelation with FileRelation with Product with Serializable
Acts as a container for all of the metadata required to read from a datasource. All discovery, resolution and merging logic for schemas and partitions has been removed.
- location
A FileIndex that can enumerate the locations of all the files that comprise this relation.
- partitionSchema
The schema of the columns (if any) that are used to partition the relation
- dataSchema
The schema of any remaining columns. Note that if any partition columns are present in the actual data files as well, they are preserved.
- bucketSpec
Describes the bucketing (hash-partitioning of the files by some column values).
- fileFormat
A file format that can be used to read and write the data in files.
- options
Configuration used when reading / writing data.
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- HadoopFsRelation
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- FileRelation
- BaseRelation
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Instance Constructors
- new HadoopFsRelation(location: FileIndex, partitionSchema: StructType, dataSchema: StructType, bucketSpec: Option[BucketSpec], fileFormat: FileFormat, options: Map[String, String])(sparkSession: SparkSession)
- location
A FileIndex that can enumerate the locations of all the files that comprise this relation.
- partitionSchema
The schema of the columns (if any) that are used to partition the relation
- dataSchema
The schema of any remaining columns. Note that if any partition columns are present in the actual data files as well, they are preserved.
- bucketSpec
Describes the bucketing (hash-partitioning of the files by some column values).
- fileFormat
A file format that can be used to read and write the data in files.
- options
Configuration used when reading / writing data.
Value Members
- final def !=(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def ##: Int
- Definition Classes
- AnyRef → Any
- final def ==(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
- final def asInstanceOf[T0]: T0
- Definition Classes
- Any
- val bucketSpec: Option[BucketSpec]
- def clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws(classOf[java.lang.CloneNotSupportedException]) @native()
- val dataSchema: StructType
- final def eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- val fileFormat: FileFormat
- def finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
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- @throws(classOf[java.lang.Throwable])
- final def getClass(): Class[_ <: AnyRef]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
- def inputFiles: Array[String]
Returns the list of files that will be read when scanning this relation.
Returns the list of files that will be read when scanning this relation.
- Definition Classes
- HadoopFsRelation → FileRelation
- final def isInstanceOf[T0]: Boolean
- Definition Classes
- Any
- val location: FileIndex
- final def ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
- def needConversion: Boolean
Whether does it need to convert the objects in Row to internal representation, for example: java.lang.String to UTF8String java.lang.Decimal to Decimal
Whether does it need to convert the objects in Row to internal representation, for example: java.lang.String to UTF8String java.lang.Decimal to Decimal
If
needConversionisfalse, buildScan() should return anRDDofInternalRow- Definition Classes
- BaseRelation
- Since
1.4.0
- Note
The internal representation is not stable across releases and thus data sources outside of Spark SQL should leave this as true.
- final def notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
- final def notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
- val options: Map[String, String]
- val overlappedPartCols: Map[String, StructField]
- val partitionSchema: StructType
- def productElementNames: Iterator[String]
- Definition Classes
- Product
- val schema: StructType
- Definition Classes
- HadoopFsRelation → BaseRelation
- def sizeInBytes: Long
Returns an estimated size of this relation in bytes.
Returns an estimated size of this relation in bytes. This information is used by the planner to decide when it is safe to broadcast a relation and can be overridden by sources that know the size ahead of time. By default, the system will assume that tables are too large to broadcast. This method will be called multiple times during query planning and thus should not perform expensive operations for each invocation.
- Definition Classes
- HadoopFsRelation → BaseRelation
- Since
1.3.0
- Note
It is always better to overestimate size than underestimate, because underestimation could lead to execution plans that are suboptimal (i.e. broadcasting a very large table).
- val sparkSession: SparkSession
- def sqlContext: SQLContext
- Definition Classes
- HadoopFsRelation → BaseRelation
- final def synchronized[T0](arg0: => T0): T0
- Definition Classes
- AnyRef
- def toString(): String
- Definition Classes
- HadoopFsRelation → AnyRef → Any
- def unhandledFilters(filters: Array[Filter]): Array[Filter]
Returns the list of Filters that this datasource may not be able to handle.
Returns the list of Filters that this datasource may not be able to handle. These returned Filters will be evaluated by Spark SQL after data is output by a scan. By default, this function will return all filters, as it is always safe to double evaluate a Filter. However, specific implementations can override this function to avoid double filtering when they are capable of processing a filter internally.
- Definition Classes
- BaseRelation
- Since
1.6.0
- final def wait(): Unit
- Definition Classes
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- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long, arg1: Int): Unit
- Definition Classes
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- Annotations
- @throws(classOf[java.lang.InterruptedException])
- final def wait(arg0: Long): Unit
- Definition Classes
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- Annotations
- @throws(classOf[java.lang.InterruptedException]) @native()