ModelBuilder includes a collection of utility tools that support building flexible and powerful models.
Iterators enable batch processing and help repeat a process or set of processes on a set of inputs.
Iterates over a starting and ending value by a given value. It works exactly like For in any scripting/programming language, executing through a set number of items.
Works exactly like 'while' in any scripting/programming language, executing "while" a condition is true or false for the input or set of inputs.
Iterates over features in a feature class.
Iterates over rows in a table.
Iterates over each value in a field.
Iterates over a list of values.
Iterates over datasets in a Workspace or Feature Dataset.
Iterates over feature classes in a Workspace or Feature Dataset.
Iterates over files in a folder.
Iterates over rasters in a Workspace or a Raster Catalog.
Iterates over tables in a workspace.
Iterates over workspaces in a folder.
ModelBuilder utilities include diverse operations all focused on extending the capabilities of a model.
Returns a value based on a specified Python expression.
Collects output values of an iterator, or converts a list of multivalues into a single input. The output of Collect Values can be used as input to tools such as Merge, Append, Mosaic, and Cell Statistics.
Gets the value of the first row of a table for the specified field.
Parses the input into its file, path, name, or extension. The output can be used as inline variables in the output name of other tools.
Selects a child data element in a parent data container such as a folder, geodatabase, feature dataset, or coverage.
Logical tools are a category of ModelBuilder utilities that help you control the flow of processes in a model and enable if-then-else branching logic.
Evaluates if the specified data exists.
Evaluates if the input data has the specified fields.
Evaluates if the input data has a selection and if a certain number of records are selected.
Evaluates if the input data has the specified coordinate system.
Evaluates if the input data matches the specified data type.
Evaluates if a feature class is of the specified feature type.
Evaluates if the values in an attribute field match a specified value, expression, or second field.
Evaluates if the row count of the input data matches a specified value.
Evaluates whether the inputs have a specified spatial relationship.
Evaluates an input value against a single value, a list of values, or a range of values using a defined comparison operator.
The Merge Branch tool merges two or more logical branches into a single output.
For the set of input values, iteration will continue if all the inputs are true and stop if any one of the inputs is false. It is functionally similar to the While iterator but is useful to stop a model if there is one While iterator in a model and no additional iterators can be added.