object SimpleFeatureConverter extends StrictLogging
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def
apply(sft: SimpleFeatureType, converterName: String): SimpleFeatureConverter
Create a converter by name
Create a converter by name
- sft
simple feature type
- converterName
converter name
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def
apply(typeName: String, converterName: String): SimpleFeatureConverter
Create a converter by name
Create a converter by name
- typeName
simple feature type name
- converterName
converter name
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def
apply(sft: SimpleFeatureType, config: Config): SimpleFeatureConverter
Create a converter
Create a converter
- sft
simple feature type
- config
converter configuration
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def
asInstanceOf[T0]: T0
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clone(): AnyRef
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final
def
eq(arg0: AnyRef): Boolean
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def
equals(arg0: Any): Boolean
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- val factories: List[SimpleFeatureConverterFactory]
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final
def
getClass(): Class[_]
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hashCode(): Int
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def
infer(is: () ⇒ InputStream, sft: Option[SimpleFeatureType], hints: Map[String, AnyRef], priority: Option[Ordering[SimpleFeatureConverterFactory]]): Try[(SimpleFeatureType, Config)]
Infer a converter based on a data sample
Infer a converter based on a data sample
- is
input stream to convert
- sft
simple feature type, if known
- hints
implementation specific hints
- priority
priority order for trying factories
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def
infer(is: () ⇒ InputStream, sft: Option[SimpleFeatureType], hints: Map[String, AnyRef]): Try[(SimpleFeatureType, Config)]
Infer a converter based on a data sample
Infer a converter based on a data sample
- is
input stream to convert
- sft
simple feature type, if known
- hints
implementation specific hints
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final
def
isInstanceOf[T0]: Boolean
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logger: Logger
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finalize(): Unit
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def
infer(is: () ⇒ InputStream, sft: Option[SimpleFeatureType], path: Option[String] = None): Option[(SimpleFeatureType, Config)]
Infer a converter based on a data sample
Infer a converter based on a data sample
- is
input stream to convert
- sft
simple feature type, if known
- Annotations
- @deprecated
- Deprecated
replaced with
infer(() => InputStream, Option[SimpleFeatureType], Map[String, Any])