CIMAbout

class CIMAbout extends CIMRDD with Serializable

Handle "about" processing.

For each element with id X, if there are elements with "rdf:about='X'", this class merges the about elements into the "primary" element(s).

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Serializable, Serializable, CIMRDD, AnyRef, Any

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CIMAbout
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Instance Constructors

new CIMAbout(spark: SparkSession, storage: StorageLevel = StorageLevel.MEMORY_AND_DISK_SER)
spark
The Spark session this class is running in.
storage
The storage level to cache the resultant RDD.

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
def asDataSet[T <: Product](implicit arg0: ClassTag[T], arg1: scala.reflect.api.JavaUniverse.TypeTag[T], spark: SparkSession): Dataset[T]
Get a typed DataSet for the given class.
Get a typed DataSet for the given class.
T
The type of RDD.
spark
The Spark session.
returns
A typed dataset of the RDD.

Definition Classes
CIMRDD
final def asInstanceOf[T0]: T0

Definition Classes
Any
def biggest(name: String): (Int, (Int, RDD[_])) ⇒ Int
Find the largest integer after the name| pattern in a foldLeft operation.
Find the largest integer after the name| pattern in a foldLeft operation.
name
the name to check

Definition Classes
CIMRDD
def clone(): AnyRef

Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws( ... ) @native() @HotSpotIntrinsicCandidate()
def do_about(): RDD[Element]
Replace the Element RDD with a version with no rdf:about elements.
Replace the Element RDD with a version with no rdf:about elements.
Since RDD are immutable, another copy is created containing only primary elements (elements with rdf:ID attributes) and this replaces the current RDD[Element] referenced by the persistent RDD registry. The old element RDD is renamed to "about_Elements". Multiple (duplicate) primary elements each have all rdf:about elements merged into them (no de-duplication).
The new RDD is cached and checkpointed (if checkpointing is enabled).
returns
The new element RDD.
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def equals(arg0: Any): Boolean

Definition Classes
AnyRef → Any
def get[T](implicit arg0: ClassTag[T], spark: SparkSession, log: Logger): RDD[T]
Get the typed RDD.
Get the typed RDD.
Convenience method where the name of the RDD is the same as the contained class type (the usual case).
T
The type of the RDD, e.g. RDD[T].
spark
The Spark session which persisted the typed RDD.
log
A logger for error messages.
returns
The RDD with the given type of objects, e.g. RDD[ACLineSegment].

Definition Classes
CIMRDD
def get[T](name: String)(implicit arg0: ClassTag[T], spark: SparkSession, log: Logger): RDD[T]
Get the named RDD.
Get the named RDD.
T
The type of objects contained in the named RDD.
name
The name of the RDD, usually the same as the CIM class.
spark
The Spark session which persisted the named RDD.
log
A logger for error messages.
returns
The typed RDD, e.g. RDD[T].
Definition Classes
CIMRDD
Example:
1. The RDD of all elements is somewhat special, currently it is named Elements (plural), so this method must be used:
  val elements: RDD[Element] = get[Element]("Elements")
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
Annotations
@native() @HotSpotIntrinsicCandidate()
def getOrElse[T](implicit arg0: ClassTag[T], spark: SparkSession): RDD[T]
Get the typed RDD or an empty RDD if none was registered.
Get the typed RDD or an empty RDD if none was registered.
Convenience method where the name of the RDD is the same as the contained class type (the usual case).
T
The type of the RDD, e.g. RDD[T].
spark
The Spark session which persisted the typed RDD.
returns
The RDD with the given type of objects, e.g. RDD[ACLineSegment], or an empty RDD of the requested type.

Definition Classes
CIMRDD
def getOrElse[T](name: String)(implicit arg0: ClassTag[T], spark: SparkSession): RDD[T]
Get the named RDD or else an empty RDD of the requested type.
Get the named RDD or else an empty RDD of the requested type.
T
The type of objects contained in the named RDD.
name
The name of the RDD, usually the same as the CIM class.
spark
The Spark session which persisted the named RDD.
returns
The typed RDD, e.g. RDD[T], as either the persisted RDD or an empty one if none was found.

Definition Classes
CIMRDD
def hashCode(): Int

Definition Classes
AnyRef → Any
Annotations
@native() @HotSpotIntrinsicCandidate()
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def like(name: String): ((Int, RDD[_])) ⇒ Boolean
Match names with pattern "name|xxx".
Match names with pattern "name|xxx".
name
the name to match
returns
true if the RDD name matches the pattern

Definition Classes
CIMRDD
implicit val log: Logger
def merge(arg: (Element, Option[Iterable[Element]])): Element
Apply rdf:about elements to the primary element.
Apply rdf:about elements to the primary element.
arg
The primary element and any rdf:about elements.
returns
The new element if there were rdf:about elements to merge, or the original element if there were none.
def nameOf[T](implicit arg0: ClassTag[T]): String
Get the base name of the CIM class.
Get the base name of the CIM class.
T
The type of the class.
returns
The base name of the class.

Definition Classes
CIMRDD
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
final def notify(): Unit

Definition Classes
AnyRef
Annotations
@native() @HotSpotIntrinsicCandidate()
final def notifyAll(): Unit

Definition Classes
AnyRef
Annotations
@native() @HotSpotIntrinsicCandidate()
def put[T <: Product](rdd: RDD[T], keep: Boolean = false)(implicit arg0: ClassTag[T], arg1: scala.reflect.api.JavaUniverse.TypeTag[T], spark: SparkSession, storage: StorageLevel): Unit
Persist the typed RDD using the class name, checkpoint it if that is enabled, and create the SQL view for it.
Persist the typed RDD using the class name, checkpoint it if that is enabled, and create the SQL view for it.
T
The type of RDD.
rdd
The RDD to persist
keep
If true then don't unpersist any existing RDD with the given name.
spark
The Spark session.
storage
The storage level for persistence.

Definition Classes
CIMRDD
def put[T <: Product](rdd: RDD[T], name: String, keep: Boolean)(implicit arg0: ClassTag[T], arg1: scala.reflect.api.JavaUniverse.TypeTag[T], spark: SparkSession, storage: StorageLevel): Unit
Persist the typed RDD using the given name, checkpoint it if that is enabled, and create the SQL view for it.
Persist the typed RDD using the given name, checkpoint it if that is enabled, and create the SQL view for it.
Since the use of RDD persistence can be problematic for memory reuse, the keep parameter has special processing. When keep is true any existing RDD of the same name is renamed to name|n where n is sequentially increasing to the next available integer. When keep is false all existing RDD of the above form are unpersisted.
This facilitates the use-case where the new RDD depends on the existing one. For example, the Elements RDD is rewritten by about, dedup, join, normalize and topological processing, where the new RDD is derived from the original. But when a completely new CIM RDF file is read in, keep=false will unpersist all the derived RDD.
T
The type of RDD.
rdd
The RDD to persist
name
The name under which to persist it.
keep
If true then don't unpersist the existing RDD with the given name.
spark
The Spark session.
storage
The storage level for persistence.
returns
The named, viewed and possibly checkpointed original RDD.

Definition Classes
CIMRDD
implicit val session: SparkSession
implicit val storage_level: StorageLevel
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def test[T](implicit arg0: ClassTag[T], spark: SparkSession): Boolean
Check for the typed RDD.
Check for the typed RDD.
Convenience method where the name of the RDD is the same as the contained class type (the usual case).
T
The type of the RDD, e.g. RDD[T].
spark
The Spark session which persisted the typed RDD.
returns
true if the named RDD exists, false otherwise.

Definition Classes
CIMRDD
def test[T](name: String)(implicit arg0: ClassTag[T], spark: SparkSession): Boolean
Check for the named RDD.
Check for the named RDD.
T
The type of objects contained in the named RDD.
name
The name of the RDD, usually the same as the CIM class.
spark
The Spark session which persisted the named RDD.
returns
true if the named RDD exists, false otherwise.

Definition Classes
CIMRDD
def toInt(s: String): Option[Int]

Definition Classes
CIMRDD
def toString(): String

Definition Classes
AnyRef → Any
final def wait(arg0: Long, arg1: Int): Unit

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

Definition Classes
AnyRef
Annotations
@throws( ... ) @native()
final def wait(): Unit

Definition Classes
AnyRef
Annotations
@throws( ... )

Deprecated Value Members

def finalize(): Unit

Attributes
protected[lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] ) @Deprecated @deprecated
Deprecated
(Since version ) see corresponding Javadoc for more information.

Packages

CIMAbout

class CIMAbout extends CIMRDD with Serializable

Instance Constructors

Value Members

Deprecated Value Members

Inherited from Serializable

Inherited from Serializable

Inherited from CIMRDD

Inherited from AnyRef

Inherited from Any

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Packages

CIMAbout 

class CIMAbout extends CIMRDD with Serializable

Instance Constructors

Value Members

Deprecated Value Members

Inherited from Serializable

Inherited from Serializable

Inherited from CIMRDD

Inherited from AnyRef

Inherited from Any

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CIMAbout