class SparqlifySPARQLExecutor extends QueryExecutor with Serializable
A Sparqlify backed SPARQL executor working on the given RDF partitions.
- Alphabetic
- By Inheritance
- SparqlifySPARQLExecutor
- Serializable
- Serializable
- QueryExecutor
- AnyRef
- Any
- Hide All
- Show All
- Public
- All
Instance Constructors
-
new
SparqlifySPARQLExecutor(triples: RDD[Triple])
A Sparqlify backed SPARQL executor working on the given RDF triples.
A Sparqlify backed SPARQL executor working on the given RDF triples.
VP is used as partitioning strategy, i.e. one partition s,o per predicate p in the RDF dataset.
- triples
the triples to work on
-
new
SparqlifySPARQLExecutor(partitions: Map[RdfPartitionDefault, RDD[Row]])
- partitions
the RDF partitions to work on
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
-
def
clone(): AnyRef
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( ... ) @native()
-
final
def
eq(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
def
equals(arg0: Any): Boolean
- Definition Classes
- AnyRef → Any
-
def
finalize(): Unit
- Attributes
- protected[lang]
- Definition Classes
- AnyRef
- Annotations
- @throws( classOf[java.lang.Throwable] )
-
final
def
getClass(): Class[_]
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
def
hashCode(): Int
- Definition Classes
- AnyRef → Any
- Annotations
- @native()
-
final
def
isInstanceOf[T0]: Boolean
- Definition Classes
- Any
-
final
def
ne(arg0: AnyRef): Boolean
- Definition Classes
- AnyRef
-
final
def
notify(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
-
final
def
notifyAll(): Unit
- Definition Classes
- AnyRef
- Annotations
- @native()
- var partitions: Map[RdfPartitionDefault, RDD[Row]]
- val rewriter: SparqlSqlStringRewriter
- val spark: SparkSession
-
def
sparql(sparqlQuery: String): DataFrame
Execute a SPARQL query and return a Spark DataFrame.
Execute a SPARQL query and return a Spark DataFrame.
Default partitioning scheme used is VP.
- sparqlQuery
a SPARQL query
- Definition Classes
- SparqlifySPARQLExecutor → QueryExecutor
-
def
sparqlRDD(sparqlQuery: String): RDD[Binding]
Execute a SPARQL query and return an RDD of bindings.
Execute a SPARQL query and return an RDD of bindings.
Default partitioning scheme used is VP.
- sparqlQuery
a SPARQL query
- Definition Classes
- SparqlifySPARQLExecutor → QueryExecutor
-
final
def
synchronized[T0](arg0: ⇒ T0): T0
- Definition Classes
- AnyRef
-
def
toString(): String
- Definition Classes
- AnyRef → Any
-
final
def
wait(): Unit
- Definition Classes
- AnyRef
- Annotations
- @throws( ... )
-
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()