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A dynamic 亚搏在线workflow increases flexibility within a workspace and minimizes long-term maintenance.
Dynamic means that the source and destination Feature Types are not locked to a specificschemain the workspace.This type of workspace can read in multiple Feature Types from a source dataset,even when they contain different schemas.As well,it can handle these different schemas and create the correct Feature Type on the fly.
The destination Feature Type will use either the incoming source data to define the schema or can derive the schema from a user provided resource.(Examples include: datasets,databases,lookup tables)
Basics of Dynamics:See this article for more information about dynamic 亚搏在线workflows,including common uses and components.
Destination Schema as a Mirror Image of the Source Dataset: Demonstrates a simple dynamic workspace.This type of 亚搏在线workflow can output an exact copy of the Source Feature Type schema when the schema is not known in advance. |
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Destination Schema is Derived from an External Dataset: Demonstrates using workspace resources with an external dataset to provide a destination schema.This type of 亚搏在线workflow is used when the desired schema is different from the source schema. |
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Destination Schema Contains Different Feature Type Names: Demonstrates how to handle a Source Schema and Destination dataset with different feature type names.When this occurs we need to use a special parameter called the 'Schema Definition Name'.The example also uses a database as the external Dataset. |
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Destination Schema is Derived from a Lookup Table: Demonstrates using an external lookup table to provide a destination schema.This type of 亚搏在线workflow is useful when maintaining a schema outside of the FME environment. |
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Destination Schema is Derived from a Schema Feature: Demonstrates using List Attributes in a workspace to provide a destination schema.This is useful when defining the destination schema dynamically within the workspace. |
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Destination Schema is Derived from Multiple Sources: Demonstrates using List Attributes in a workspace to provide a destination schema when there are multiple source schemas.This is useful when needing to combine multiple source datasets of unknown schema,or add unknown attributes to a static schema. |
Advanced Technique - Using the SchemaMapper:
Discusses the use of the SchemaMapper transformer in a dynamic setting.This transformer can be used to simplify the 亚搏在线workflow and move all the schema mapping details into an external source.
Dynamic 亚搏在线Workflows: Advanced Example - Modifying the Schema Feature
Dynamic 亚搏在线Workflows: Destination Schema Derived from Multiple Sources
Dynamic 亚搏在线Workflows: Destination Schema is Derived from an External Dataset
Dynamic 亚搏在线Workflows: Destination Schema is Derived from a Lookup Table
Dynamic 亚搏在线Workflows: Basics of Dynamics
Dynamic 亚搏在线Workflows: Destination Schema Contains Different Feature Type Names
Dynamic 亚搏在线Workflows: Destination Schema as a Mirror Image of the Source Dataset
Dynamic 亚搏在线Workflows: Destination Schema is Derived from a Schema Feature
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