List of Transformers

You are here: Lists ListBuilder.

ListBuilder.

Combines attributes of the input features into a single list structure.

Output Ports

对于每个唯一组合的属性中指定的属性的每个唯一组合输出一个功能通过...分组parameter。该变压器输出的功能没有几何形状。

Parameters

Transformer

Closed通过...分组

This parameter allows you to specify the attribute values on which to join the series of input features. One feature is output for each group created by selecting a通过...分组attribute. If no通过...分组attributes are specified, then a single feature is output and the number of elements in its list is equivalent to the number of features input into the ListBuilder.

Closed并行处理水平

Note:How parallel processing works with FME: seeAbout Parallel Processingfor detailed information.

This parameter determines whether or not the transformer should perform the work across parallel processes. If it is enabled, a process will be launched for each group specified by the通过...分组parameter.

并行处理水平s

Parameter Number of Processes
No Parallelism 1
最小 coresThe processor, or CPU, is the physical part of the computer that performs mathematical calculations. It is the most important part of a computer system. Traditional processors have only one core on the processor, meaning that at any given time, only one set of calculations is being performed. If a processor is dual-core, this means the single chip contains hardware for two processors, now called cores to distinguish them from the single chip, running simultaneously, side by side. (Source: http://www.ehow.com/facts_5730257_computer-core-processors_.html)/ 2
缓和 exact number of cores
Aggressive cores x 1.5
Extreme 核心x 2

For example, on a quad-core machine, minimal parallelism will result in two simultaneous FME processes. Extreme parallelism on an 8-core machine would result in 16 simultaneous processes.

You can experiment with this feature and view the information in the Windows Task Manager and the Workbench Log window.

ClosedInput is Ordered by Group

Yes: This transformer will process input groups in order. Changes on the value of the通过...分组parameter on the input stream will trigger batch processing on the currently accumulating group. This will improve overall speed if groups are large/complex, but could cause undesired behavior if input groups are not truly ordered.

No: This is the default behavior. Processing will only occur in this transformer once all input is present.

Parameters

ClosedList Name

The features output from the ListBuilder have all of their attributes stored in the list identified by the name specified by this parameter.

Example

假设此变形式器不属于组属性，并且三个功能将其与这些属性输入：

Feature 0:

长度=7.3

kind = 'paved'

Feature 1:

长度=8.4

亲切='平滑'

Lanes = 2

Feature 2:

长度=1.1

kind = ’rough’

then, presuming that the list name specified was孤子家，a single feature with these attributes is output:

somelist{0}.length = 7.3

somelist{0}.kind = ’paved’

somelist{1}.length = 8.4

somelist{1}.kind = ’smooth’

somelist{1}.lanes = 2

somelist{2}.length = 1.1

somelist{2}.kind = ’rough’

Editing Transformer Parameters

Using a set of menu options, transformer parameters can be assigned by referencing other elements in the workspace. More advanced functions, such as an advanced editor and an arithmetic editor, are also available in some transformers. To access a menu of these options, clickbeside the applicable parameter. For more information, seeTransformer Parameter Menu Options。

Transformer Categories

Lists

搜索FME知识中心

搜索有关此变压器的样本和信息FME Knowledge Center。