class CIMRelation extends BaseRelation with TableScan with CIMRDD
A Relation for CIM RDF files that can produce all of its tuples as an RDD of Row objects.
As a side effect, this relation also creates RDD and local temporary views corresponding to the subclasses of each element, and saves each RDD in the persistent RDD list using the CIM class name.
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- CIMRelation
- CIMRDD
- TableScan
- BaseRelation
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Instance Constructors
-
new
CIMRelation(location: FileIndex, parameters: Map[String, String])(spark: SparkSession)
- location
object containing the file(s) to read
- parameters
specific settings for reading the file(s)
- spark
the Spark session object
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
- val _About: Boolean
- val _Cache: String
- val _DeDup: Boolean
- val _Debug: Boolean
- val _Default_Switch_Open_State: Boolean
- val _Edges: Boolean
- val _Force_Fuse_Separate_Islands: State
- val _Force_Retain_Fuses: State
- val _Force_Retain_Switches: State
- val _Force_Switch_Separate_Islands: State
- val _Islands: Boolean
- val _Join: Boolean
- val _Normalize: Boolean
- val _SplitSize: Long
- implicit val _StorageLevel: StorageLevel
- val _Topo: Boolean
-
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
buildScan(): RDD[Row]
- Definition Classes
- CIMRelation → TableScan
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native() @HotSpotIntrinsicCandidate()
-
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
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")
Example: -
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 make_tables(rdd: RDD[Element]): Unit
-
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
-
def
needConversion: Boolean
- Definition Classes
- BaseRelation
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native() @HotSpotIntrinsicCandidate()
- def parseState(text: String): State
- val paths: Array[String]
-
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. Whenkeep
istrue
any existing RDD of the same name is renamed toname|n
where n is sequentially increasing to the next available integer. Whenkeep
isfalse
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
-
def
schema: StructType
Specifies schema of actual data files.
Specifies schema of actual data files. For partitioned relations, if one or more partitioned columns are contained in the data files, they should also appear in
dataSchema
.- Definition Classes
- CIMRelation → BaseRelation
- Since
1.4.0
- implicit val session: SparkSession
-
def
sizeInBytes: Long
- Definition Classes
- BaseRelation
-
def
sqlContext: SQLContext
- Definition Classes
- CIMRelation → BaseRelation
-
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
-
def
unhandledFilters(filters: Array[Filter]): Array[Filter]
- Definition Classes
- BaseRelation
-
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.