trait AggregatingScan[T <: Result] extends SamplingIterator with ConfiguredScan with LazyLogging
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abstract
def
createResult(sft: SimpleFeatureType, transform: Option[SimpleFeatureType], batchSize: Int, options: Map[String, String]): T
Create the result object for the current scan
Create the result object for the current scan
- sft
simple feature type
- transform
transform, if any
- batchSize
batch size
- options
scan options
- Attributes
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abstract
def
defaultBatchSize: Int
- Attributes
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abstract
def
hasNextData: Boolean
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abstract
def
nextData(): RowValue
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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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def
aggregate[A <: AggregateCallback](callback: A): A
Aggregates a batch of data.
Aggregates a batch of data. May not exhaust the underlying data
- callback
callback to provide for results
- returns
callback
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final
def
asInstanceOf[T0]: T0
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def
clone(): AnyRef
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def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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final
def
getClass(): Class[_]
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def
hashCode(): Int
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def
init(options: Map[String, String]): Unit
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- AggregatingScan → ConfiguredScan
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final
def
isInstanceOf[T0]: Boolean
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lazy val
logger: Logger
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def
ne(arg0: AnyRef): Boolean
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def
notify(): Unit
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final
def
notifyAll(): Unit
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def
sample(options: Map[String, String]): Option[(SimpleFeature) ⇒ Boolean]
Configure a sampling function based on the iterator configuration
Configure a sampling function based on the iterator configuration
- options
iterator options
- returns
sampling function, if defined
- Definition Classes
- SamplingIterator
-
def
sample(options: Map[String, String]): Option[(SimpleFeature) ⇒ Boolean]
Configure a sampling function based on the iterator configuration
Configure a sampling function based on the iterator configuration
- options
iterator options
- returns
sampling function, if defined
- Definition Classes
- SamplingIterator
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final
def
synchronized[T0](arg0: ⇒ T0): T0
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def
toString(): String
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final
def
wait(arg0: Long, arg1: Int): Unit
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def
wait(arg0: Long): Unit
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wait(): Unit
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finalize(): Unit
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