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How does the multi writer work in FME?
The Multi-Writer can be configured to operate in two different modes. The first mode allows the Multi-Writer to create datasets of different types during one FME run. In this mode, each individual writer available to the Multi-Writer is identified and configured in the mapping file.
How to get multiple output datasets in FME?
To get multiple output datasets requires either a Dataset Fanout or a batch processing technique such as Batch Deploy. For additional information, see Adding Multiple Writers in FME Workbench help.
Is the multi writer format listed in Workbench?
The Multi-Writer is not listed as a “format” in Workbench. Although a reader can read any number of datasets, a writer dataset parameter defines a single dataset, so the default action is a merging of multiple sources into a single output.
When does FME _ where result in feature rejection?
To advanced users who are accustomed to using fme_where, if Feature Operation is set to Update, Delete, or fme_db_operation, an fme_where attribute that conflicts with Match Columns or WHERE Clause will result in feature rejection. The name of the feature dataset to which a feature class belongs.
How to add readers, writers, and feature types?
You can add a feature type to an existing reader or writer by picking Readers > Import Feature Types or Writers > Add Feature Type: Adding a reader feature type lets you read a new layer or table from the dataset of an existing reader; adding a writer feature type lets you write a new layer or table in the dataset of an existing writer.
Where to find feature types in FME community?
Click the gear icon on the feature type. Right-click on a feature type and select Properties from the menu. On the menu, select View > Windows > Parameter Editor. On the canvas, select the feature type. Parameters
Which is the best mode for multi reader?
The first mode allows the Multi-Reader to access datasets of different types or datasets of the same type that are located in different folders. The second mode allows the Multi-Reader to access multiple datasets of a single type that are located in a common folder.