o
org.apache.spark.sql.delta.actions
DeletionVectorDescriptor
Companion class DeletionVectorDescriptor
object DeletionVectorDescriptor extends Serializable
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final
def
!=(arg0: Any): Boolean
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final
def
##(): Int
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final
def
==(arg0: Any): Boolean
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val
DELETION_VECTOR_FILE_NAME_CORE: String
String that is used in all file names generated by deletion vector store
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val
DELETION_VECTOR_FILE_NAME_PREFIX: String
Prefix that is used in all file names generated by deletion vector store.
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val
EMPTY: DeletionVectorDescriptor
Descriptor for an empty stored bitmap.
- final val INLINE_DV_MARKER: String
- final val PATH_DV_MARKER: String
- final lazy val STRUCT_TYPE: StructType
- final val UUID_DV_MARKER: String
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final
def
asInstanceOf[T0]: T0
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def
assembleDeletionVectorPath(targetParentPath: Path, id: UUID, prefix: String = ""): Path
Return the unique path under
parentPaththat is based onid.Return the unique path under
parentPaththat is based onid.Optionally, prepend a
prefixto the name. -
def
clone(): AnyRef
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- @throws( ... ) @native()
- def deserializeFromBase64(encoded: String): DeletionVectorDescriptor
- def encodeData(bytes: Array[Byte]): String
- implicit def encoder: Encoder[DeletionVectorDescriptor]
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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def
finalize(): Unit
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def
getClass(): Class[_]
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def
hashCode(): Int
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def
inlineInLog(data: Array[Byte], cardinality: Long): DeletionVectorDescriptor
Utility method to create an inline DeletionVectorDescriptor
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final
def
isInstanceOf[T0]: Boolean
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final
def
ne(arg0: AnyRef): Boolean
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final
def
notify(): Unit
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final
def
notifyAll(): Unit
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def
onDiskWithAbsolutePath(path: String, sizeInBytes: Int, cardinality: Long, offset: Option[Int] = None, maxRowIndex: Option[Long] = None): DeletionVectorDescriptor
Utility method to create an on-disk DeletionVectorDescriptor
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def
onDiskWithRelativePath(id: UUID, randomPrefix: String = "", sizeInBytes: Int, cardinality: Long, offset: Option[Int] = None, maxRowIndex: Option[Long] = None): DeletionVectorDescriptor
Utility method to create an on-disk DeletionVectorDescriptor
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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def
uniqueIdExpression(deletionVectorCol: Column): Column
This produces the same output as DeletionVectorDescriptor.uniqueId but as a column expression, so it can be used directly in a Spark query.
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final
def
wait(): Unit
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def
wait(arg0: Long, arg1: Int): Unit
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wait(arg0: Long): Unit
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