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Version: 2023.1

Customer Duplicates Service

The CMF ships with a Customer Duplicates Service which helps to find, merge and avoid duplicate entries. It consists of three major parts:

  • Part 1 - Mechanisms for Searching Duplicates of a given Customer
  • Part 2 - Duplicates Index
  • Part 3 - Duplicates View

The first two Parts are for configurating things running in the background. The Duplicates View on the other hand is a view for the user to see, validate, merge or decline potential customer duplicates in the Pimcore backend UI.

Part 1 - Mechanisms for Searching Duplicates of a given Customer:

This is done directly via the database/customer object list. The duplicate service will find active customers where the configured fields are equal to the given customer. Simple strtolower/trim transformations are done so that the comparisons are case insensitive.

The field combination(s) which should match could be defined in the CMF configuration file in the customer_duplicates_services.duplicateCheckFields section. (Optional) multiple field combinations are supported (for example first check for duplicates based on firstname/lastname/street/zip/city - if no duplicates are found, check for firstname/street/zip/city/birthDate).

Performance tip:

Add customer save handlers for trimming duplicate check fields and afterwards add these fields to the customer_duplicates_services.duplicateCheckTrimmedFields config section. The result is that no trim operation will be needed in the resulting query. This could be a massive performance boost!

Samples for Part 1:

<?php 

// Create a new Customer Instance
$customer = new Customer();
$customer->setBirthDate(new Date('1982-12-07'));
$customer->setFirstname("Markus");
$customer->setLastname("Moser");
$customer->setZip("5020");
$customer->setPublished(true);
$customer->setActive(true);

// Get an object list with duplicates for the new customer instance (set limit to 1)
$service = $container->get('CustomerManagementFrameworkBundle\CustomerDuplicatesService\CustomerDuplicatesServiceInterface');
$duplicates = $service->getDuplicatesOfCustomer($customer, 1);


// If duplicates exist and "checkForDuplicates" is activated in the CMF config file, an exception will be thrown when
// trying to save the new customer and a duplicate exists.
try {
$customer->save();
} catch(DuplicateCustomerException $e) {
print "save failed - duplicate found: " . $e->getDuplicateCustomer() . PHP_EOL;
}

//get duplicates of an existing customer
$existingCustomer = Customer::getById(12345);
$duplicates = $service->getDuplicatesOfCustomer($existingCustomer, 1);

Part 2 - Duplicates Index

The duplicates index is used for searching globally for (fuzzy matching) duplicates. The found duplicates will be visible in the customer duplicates view (see Part 3) and the user has the possibility to merge these duplicates manually.

In order to make a performant search for duplicates possible, the data is stored in a special format in the duplicate index. By default this is done via several MariaDB-Tables. But it would also be possible to create a DuplicateIndex for ElasticSearch by implementing the DuplicateIndexInterface.

The duplicates index can be configured in the configuration file. Data and logic for storing duplicates within the index is configured as follows:

Example Config

pimcore_customer_management_framework:
duplicates_index:
enableDuplicatesIndex: true

duplicateCheckFields:
- firstname:
soundex: true
metaphone: true
similarity: \CustomerManagementFrameworkBundle\DataSimilarityMatcher\SimilarText

zip:
similarity: \CustomerManagementFrameworkBundle\DataSimilarityMatcher\Zip

street:
soundex: true
metaphone: true
similarity: \CustomerManagementFrameworkBundle\DataSimilarityMatcher\SimilarText

birthDate:
similarity: \CustomerManagementFrameworkBundle\DataSimilarityMatcher\BirthDate::class

- lastname:
soundex: true
metaphone: true
similarity: \CustomerManagementFrameworkBundle\DataSimilarityMatcher\SimilarText

firstname:
soundex: true
metaphone: true
similarity: \CustomerManagementFrameworkBundle\DataSimilarityMatcher\SimilarText

zip:
similarity: \CustomerManagementFrameworkBundle\DataSimilarityMatcher\Zip

city:
soundex: true
metaphone: true
similarity: \CustomerManagementFrameworkBundle\DataSimilarityMatcher\SimilarText

street:
soundex: true
metaphone: true
similarity: \CustomerManagementFrameworkBundle\DataSimilarityMatcher\SimilarText


- email:
metaphone: true
similarity: \CustomerManagementFrameworkBundle\DataSimilarityMatcher\SimilarText
similarityThreshold: 90

dataTransformers:
street: \CustomerManagementFrameworkBundle\DataTransformer\DuplicateIndex\Street
firstname: \CustomerManagementFrameworkBundle\DataTransformer\DuplicateIndex\Simplify
city: \CustomerManagementFrameworkBundle\DataTransformer\DuplicateIndex\Simplify
lastname: \CustomerManagementFrameworkBundle\DataTransformer\DuplicateIndex\Simplify
birthDate: \CustomerManagementFrameworkBundle\DataTransformer\DuplicateIndex\Date

It's possible to define the field combinations which should match within the customer_duplicates_services.duplicates_index.duplicateCheckFields section.

For each field in these field combinations it is possible to define how it should be indexed with the following four options:

  • soundex: If set to true, the field should be relevant for soundex matching. This should be enabled for text fields where a soundex matching could make sense. For example for a zip field it's not really useful whereas for firstname it would be a good idea to enable it :-).

  • metaphone: Same like soundex but another phonetic algorithmn (metaphone). It's possible to combine soundex + metaphone but sometimes it could be useless and a waste of resources to enable both. If you are not sure just enable both.

  • similarity: Searching duplicates by soundex/metaphone will produce a lot of false positive matches. Especially if there are fields like zip where soundex + metaphone should be disabled a mechanism for excluding these false positives is needed. But also the soundex/metaphone algorithm itself will produce many false positives. In the similarity field it is possible to configure a so called SimilarityMatcher (see DataSimilarityMatcherInterface). All potentially found duplicates by soundex/metaphone search will be compared by these SimilarityMatchers. Only if all fields are similar according to the SimilarityMatchers the found duplicate will be handled as "real" duplicate. Otherwise it's a false positive.

  • similarityThreshold: Each SimilarityMatcher has a default threshold - but it's possible to (optionally) define a custom threshold which will be handed over to the SimilarityMatcher.

Console Command

Following console command is available to calculate and update the duplicates index. If needed, it should be configured as CronJob.

php pimcore/cli/console.php cmf:duplicates-index

Options:

  • -c - Calculate potential duplicates. This needs to run as cron job, for example once a day.
  • -a - Analyse false positives. If set, false positives will be logged (by default in the plugin_cmf_duplicates_false_positives table).
  • -r - Recreate index. Recreate the total index for all customers.

Part 3 - Duplicates View

The duplicates view is the frontend for manually checking, merging or declining potential duplicates found based on the duplicates index. It gets populated when the console commands of the duplicates index are executed and its usage should be quite self explaining.

DuplicatesViewDuplicatesViewDuplicatesView