Skip to main content
Solved

Getting the match_id in the "Matcher" transformer to start counting at a specified number

fmenco
Contributor
Forum|alt.badge.img+5

Hi,

I have two datasets of line features which I want to check individually for duplicate line features. However, the output containing the duplicate line features of both datasets should be combined in one dataset. I used a Matcher transformer on each dataset. When combining the output I of course get similar match_ids for features, that aren't always matches of each other. How do I adapt my workbench to avoid this?

Is there a way to set the match_id attribute of one of the Matcher transformers to start counting at a specified number?

I also can't send both datasets to the same transformer, because for my datasets that would result in unwanted matches.

 

a simplied version of the workbench

And a simplified version of the generated output

 

Best answer by david_r

How about adding an ExpressionEvaluator after one of the Matchers and add a large number, such as e.g. one million, to the _match_id. That way you'll end up with two separate number series, one for each Matcher.

View original
Did this help you find an answer to your question?

4 replies

david_r
Evangelist
  • david_rEvangelist
  • Best Answer
  • December 10, 2018

How about adding an ExpressionEvaluator after one of the Matchers and add a large number, such as e.g. one million, to the _match_id. That way you'll end up with two separate number series, one for each Matcher.

ebygomm
Influencer
Forum|alt.badge.img+31
  • ebygommInfluencer
  • Influencer
  • December 10, 2018

If you don't want to match between datasets, you could just use the fme_feature_type/fme_basename (depending on input format) as one of the match attributes

takashi
Contributor
Forum|alt.badge.img+19
  • takashiContributor
  • Contributor
  • December 10, 2018

As @egomm suggested, I think you can accomplish that by sending all features from the two source feature types into a single Matcher and setting "fme_feature_type" or "fme_basename" to the Selected Attributes parameter.

However, if you have to use two Matchers for each feature type separately for some reason, a possible way is: calculate the maximum match_id on one feature type, merge it to every feature from another feature type, and add (the max value + 1) to their match_id. The workflow would look like this.

fmenco
Contributor
Forum|alt.badge.img+5
  • fmencoContributor
  • Author
  • Contributor
  • December 12, 2018

Hi all, thanks ! I applied david_r's approach, and the output firts what I want. I'm also going to try the other approaches.

Reply


Helpful Members This Week

Community Stats

30,921
Posts
117,191
Replies
38,726
Members

Latest FME

Terms & ConditionsCookie settings

Cookie policy

We use cookies to enhance and personalize your experience. If you accept you agree to our full cookie policy. Learn more about our cookies.

 
Cookie settings
A product of
Safe Software respectfully acknowledges that we live, learn and work on the traditional and unceded territories of the Kwantlen, Katzie, and Semiahmoo First Nations.