GeoMesaRelation

The Spark Relation that builds the scan over the GeoMesa table

sqlContext: spark sql context
sft: simple feature type associated with the rows in the relation
schema: spark sql schema (must correspond to the sft)
params: user parameters, generally for configured the underlying data store and/or caching/partitioning
filter: a push-down geotools filter applied to the relation
cached: an optional cached RDD, used to speed up queries when enabled
partitioned: an optional spatially partitioned RDD, used to speed up spatial joins when enabled

Linear Supertypes

Serializable, Serializable, Product, Equals, LazyLogging, PrunedFilteredScan, BaseRelation, AnyRef, Any

Instance Constructors

new GeoMesaRelation(sqlContext: SQLContext, sft: SimpleFeatureType, schema: StructType, params: Map[String, String], filter: Option[Filter], cached: Option[CachedRDD], partitioned: Option[PartitionedRDD])

sqlContext
spark sql context
sft
simple feature type associated with the rows in the relation
schema
spark sql schema (must correspond to the sft)
params
user parameters, generally for configured the underlying data store and/or caching/partitioning
filter
a push-down geotools filter applied to the relation
cached
an optional cached RDD, used to speed up queries when enabled
partitioned
an optional spatially partitioned RDD, used to speed up spatial joins when enabled

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 buildScan(requiredColumns: Array[String], filters: Array[Filter]): RDD[Row]

Definition Classes
GeoMesaRelation → PrunedFilteredScan
val cached: Option[CachedRDD]

an optional cached RDD, used to speed up queries when enabled
def clone(): AnyRef

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( ... )
final def eq(arg0: AnyRef): Boolean

Definition Classes
AnyRef
val filter: Option[Filter]

a push-down geotools filter applied to the relation
def finalize(): Unit

Attributes
protected[java.lang]
Definition Classes
AnyRef
Annotations
@throws( classOf[java.lang.Throwable] )
final def getClass(): Class[_]

Definition Classes
AnyRef → Any
final def isInstanceOf[T0]: Boolean

Definition Classes
Any
def join(other: GeoMesaRelation, condition: Expression): Option[GeoMesaJoinRelation]

Attempts to do an optimized join between two relations.
Attempts to do an optimized join between two relations.
Currently this method uses grid partitioning on both relations so that the join comparisons only need to be applied on each pair of partitions, instead of globally. This only works if both relations have already been grid partitioned.
other
relation to join
condition
join condition
returns
an optimized join, if possible to do so
lazy val logger: Logger

Attributes
protected
Definition Classes
LazyLogging
final def ne(arg0: AnyRef): Boolean

Definition Classes
AnyRef
def needConversion: Boolean

Definition Classes
BaseRelation
final def notify(): Unit

Definition Classes
AnyRef
final def notifyAll(): Unit

Definition Classes
AnyRef
val params: Map[String, String]

user parameters, generally for configured the underlying data store and/or caching/partitioning
val partitioned: Option[PartitionedRDD]

an optional spatially partitioned RDD, used to speed up spatial joins when enabled
val schema: StructType

spark sql schema (must correspond to the sft)
spark sql schema (must correspond to the sft)

Definition Classes
GeoMesaRelation → BaseRelation
val sft: SimpleFeatureType

simple feature type associated with the rows in the relation
def sizeInBytes: Long

Definition Classes
BaseRelation
val sqlContext: SQLContext

spark sql context
spark sql context

Definition Classes
GeoMesaRelation → BaseRelation
final def synchronized[T0](arg0: ⇒ T0): T0

Definition Classes
AnyRef
def unhandledFilters(filters: Array[Filter]): Array[Filter]

Definition Classes
GeoMesaRelation → BaseRelation
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( ... )

Related Docs: object GeoMesaRelation | package spark

Instance Constructors

new GeoMesaRelation(sqlContext: SQLContext, sft: SimpleFeatureType, schema: StructType, params: Map[String, String], filter: Option[Filter], cached: Option[CachedRDD], partitioned: Option[PartitionedRDD])

Value Members

final def !=(arg0: Any): Boolean

final def ##(): Int

final def ==(arg0: Any): Boolean

final def asInstanceOf[T0]: T0

def buildScan(requiredColumns: Array[String], filters: Array[Filter]): RDD[Row]

val cached: Option[CachedRDD]

def clone(): AnyRef

final def eq(arg0: AnyRef): Boolean

val filter: Option[Filter]

def finalize(): Unit

final def getClass(): Class[_]

final def isInstanceOf[T0]: Boolean

def join(other: GeoMesaRelation, condition: Expression): Option[GeoMesaJoinRelation]

lazy val logger: Logger

final def ne(arg0: AnyRef): Boolean

def needConversion: Boolean

final def notify(): Unit

final def notifyAll(): Unit

val params: Map[String, String]

val partitioned: Option[PartitionedRDD]

val schema: StructType

val sft: SimpleFeatureType

def sizeInBytes: Long

val sqlContext: SQLContext

final def synchronized[T0](arg0: ⇒ T0): T0

def unhandledFilters(filters: Array[Filter]): Array[Filter]

final def wait(): Unit

final def wait(arg0: Long, arg1: Int): Unit

final def wait(arg0: Long): Unit

Inherited from Serializable

Inherited from Serializable

Inherited from Product

Inherited from Equals

Inherited from LazyLogging

Inherited from PrunedFilteredScan

Inherited from BaseRelation

Inherited from AnyRef

Inherited from Any

Ungrouped