Iterator for result ids from index datasource
Base class for several MappingFeatureImplementation's.
DataStoreFactory for ComplexDataStore.
A registry that stores all app schema data access instances per application.
A Collection of AttributeMappings that correspond to complex types that need to be created.
This is just a compilation of constants and static methods used in app-schema module.
A Feature iterator that operates over the FeatureSource of a FeatureTypeMapping and produces Features of the output schema by applying the mapping rules to the Features of the source schema.
A registry that stores data access instances per application.
Base class for Indexed Iterators
Factory for IndexedMappingFeatureIterator subclasses
Index iterator for to work with a FeatureIterator delegate
Index iterator for to work with UniqueVisitor over id field
Manages unrolled Query indexes and partial indexes
Partial Indexed Query management/transform/utils
A Feature iterator that operates over the FeatureSource of a FeatureTypeMapping that is of a simple content type, e.g. representing a gml:name element.
A FeatureSource that uses a FeatureTypeMapping to perform Feature fetching.
This class represents AttributeMapping for attributes that are nested inside another complex attribute.
MappingFeatureIterator with partial index query support
An extension to DataAccessMappingFeatureIterator where filter is present.
MappingFeatureIterator for full index coverage case
An implementation of AbstractMappingFeatureIterator to handle XML datasources.
This package contains the implementation of a ComplexDataStore,
Author note: though this "Complex" datastore has born to provide complex features out of a simple features data source, it may be better called a DerivativeDataStore or something like that, you'll see why later.
This DataStore implementation acts as a wrapper over one or more
DataStores, from now on, the surrogate DataStores, and allows to
specify a series of mappings between the properties of surrogate
FeatureTypes and output schemas. This mappings, in turn, allows to
specify properties of the target FeatureTypes as being derivated by the
evaluation of an
against the surrogate FeautreType.
So, what is this useful for? Suppose you have a database of feature types you need to serve out of your office or organization. Furthermore, suppose you need to serve that data in an externally defined schema (like one defined by INSPIRE or any other organization). Obviously you don't want to rearchitect your database to conform to that schema! And indeed you probably even can't do that without the assistance of some kind of object-relational mapping layer. Now you can better figure out what this ComplexDataStore is about if you think on it as a kind of object-relational mapping layer, but targeted to GIS data. Though not exact, this pseudo definition can help you understand it if its your first time reading this document.
Of course it has nothing to do with relational databases directly, but with mapping an existing GeoTools FeatureType from your internal storage schema to an externally defined one, which we're getting used to call "community schemas".
How does ComplexDataStore achieves that?
To persist this information, use a XML file which contains this definitions, and whose location in the form of an URL must be used to create a DataStore instance through the GeoTools DataStoreFinder lookup system.
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