title
Advanced Object Search

Pimcore Advanced Object Search via Elasticsearch

Advanced Object Search bundle provides advanced object search in Pimcore backend powered by Elasticsearch v8.

Integration into Pimcore

Installation and Configuration

Follow Installation instructions.

Configure Elasticsearch Client

Elasticsearch client configuration takes place via Pimcore Elasticsearch Client Bundle and has two parts.

1. Configuring an elasticsearch client.
2. Define the client to be used by advanced object search.

# Configure an elasticsearch client 
pimcore_elasticsearch_client:
    es_clients:
        default:
            hosts: ['elastic:9200']
            username: 'elastic'
            password: 'somethingsecret'
            logger_channel: 'pimcore.elasicsearch'        


# Define the client to be used by advanced object search
advanced_object_search:
    es_client_name: default  # default is default value here, just need to be specified when other client should be used.

If nothing is configured, a default client connecting to localhost:9200 is used.

Configure Advanced Object Search

Before starting, setup at least following configuration in symfony configuration tree:

advanced_object_search:
    # Prefix for index names
    index_name_prefix: 'advanced_object_search_'

For further configuration options follow the docs and the inline description of the configuration tree.

Initial Indexing

Call Pimcore command advanced-object-search:update-mapping for creating mappings and advanced-object-search:re-index for indexing data for the first time.

GUI

GUI for creating searches against ES index with

• saving functionality
• sharing functionality

Plugin Hooks

Following event listeners are called automatically

• pimcore.dataobject.postUpdate - data object is updated in ES index, all child objects are added to update queue.
• pimcore.dataobject.preDelete - data object is deleted from ES index.
• pimcore.class.postUpdate - ES index mapping is updated or index recreated if necessary.

Pimcore Console

Functions in Pimcore console.

• advanced-object-search:process-update-queue --> processes whole update queue of es search index.
• advanced-object-search:re-index --> Reindex all data objects of given class. Does not delete index first or resets update queue.
• advanced-object-search:update-mapping --> Deletes and recreates mapping of given classes. Resets update queue for given class.

For details see documentation directly in Pimcore console.

Pimcore Maintenance & Symfony Messenger

By default, with every Pimcore maintenance call, 500 entries of update queue are processed. As an alternative, you also can activate symfony messenger to process the update queue. For that, just activate it as follows.

 advanced_object_search:
    messenger_queue_processing:
        activated: true

If activated, the processing is kicked off automatically with the advancedobjectsearch_update_queue maintenance task.

Messages are dispatched via pimcore_index_queues transport. So make sure, you have workers processing this transport when activating the messenger based queue processing.

API Methods

Create Mapping for data object classes

Per data object class one index with one document type is created.

<?php
/**
* @var \AdvancedObjectSearchBundle\Service $service
 */
$service = $this->get("AdvancedObjectSearchBundle\Service");
$service->updateMapping(ClassDefinition::getByName("Product"));

Update index data

On data object save or via script:

<?php
/**
* @var \AdvancedObjectSearchBundle\Service $service
 */
$service = $this->get("AdvancedObjectSearchBundle\Service");

$objects = Product::getList();
foreach($objects as $object) {
    $service->doUpdateIndexData($object);
}

Search/Filter for data

<?php
/**
* @var \AdvancedObjectSearchBundle\Service $service
 */
$service = $this->get("AdvancedObjectSearchBundle\Service");

//filter for relations via ID
$results = $service->doFilter(3,
    [
        new FilterEntry(
            "objects",
            [
                "type" => "object",
                "id" => 75
            ],
            BoolQuery::SHOULD
        )
    ],
    ""
);



//filter for relations via sub query
$results = $service->doFilter(3,
    [
        [
            "fieldname" => "objects",
            "filterEntryData" => [
                "type" => "object",
                "className" => "Customer",
                "filters" => [
                    [
                        "fieldname" => "firstname",
                        "filterEntryData" => "tom"
                    ]
                ]
            ]
        ],

    ],
    ""
);


// full text search query without filters
$results = $service->doFilter(3,
    [],
    "sony"
);


// filter for several attributes - e.g. number field, input, localized fields
$results = $service->doFilter(3,
    [
        [
            "fieldname" => "price",
            "filterEntryData" => 50.77
        ],
        [
            "fieldname" => "price2",
            "filterEntryData" => [
                "gte" => 50.77,
                "lte" => 50.77
            ]
        ],
        [
            "fieldname" => "keywords",
            "filterEntryData" => "test2",
            "operator" => BoolQuery::SHOULD
        ],
        [
            "fieldname" => "localizedfields",
            "filterEntryData" => [
                "en" => [
                    "fieldname" => "locname",
                    "filterEntryData" => "englname"
                ]
            ]
        ],
        [
            "fieldname" => "localizedfields",
            "filterEntryData" => [
                "de" => [
                    "fieldname" => "locname",
                    "filterEntryData" => "deutname"                
                ]
            ]
        ],
        new FilterEntry("keywords", "testx", BoolQuery::SHOULD)
    ],
    ""
);

Not Supported Data Types

Currently following data types are not supported - but can be added if needed in future versions:

• ClassificationStore
• Slider
• Password
• Block
• Table
• StructuredTable
• Geographic data types
• Image data types

Integrate new Data Type

• Implement Field Definition Adapter by implementing the IFieldDefinitionAdapter interface.
• Register new Field Definition Adapter as service
• Add mapping in configuration like

advanced_object_search: 
    field_definition_adapters:
        newDataTypeName: SERVICE_ID_OF_FIELD_DEFINITION_ADAPTER

Extend Filters in the Result Tab

If you want custom filters in the result tab directly without having to create a new advanced object search every time read here on how to extend the result tab with custom filters..

Supported Elasticsearch Versions

• ElasticSearch 8