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https://pimcore.com/docs/platform//Statistics_Explorer/Installation_and_Configuration#elasticsearch-configuration | Elasticsearch configuration
The ElasticsearchAdapter
needs an elasticsearch cluster to work.
Elasticsearch client configuration takes place via Pimcore Elasticsearch Client Bundle
# Configure an elasticsearch client
pimcore_elasticsearch_client:
es_clients:
default:
hosts: ['elastic:9200']
username: 'elastic'
password: 'somethingsecret'
logger_channel: 'pimcore.elasicsearch'
Pimcore Elasticsearch Client Bundle registers symfony services for each configured elasticsearch client which can be
used for data sources (see above) and event trackers.
Configuration above creates a default client which is registered as service pimcore.elasticsearch_client.default.
For further configuration options (like authentication) have a look at
Pimcore Elasticsearch Client Bundle. | Elasticsearch configuration | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Usage/Using_Statistics_Explorer#embedding-into-application | Embedding Into Application
The statistics explorer is a react application that can be embedded into any
template with following steps.
Include boostrap style sheets: Statistics explorer is using bootstrap markup. To provide proper styling it
makes sense in include bootstrap style sheets
Include statistics explorer style sheets: Include them via symfony webpack encore with {{ encore_entry_link_tags('explorer', null, 'pimcoreStatisticsExplorer') }}
Define statistics explorer markup node: Add <div id="statistics-explorer"></div> to the template where the statistics explorer should be rendered into.
Define URLs in statisticsExplorerConfig: To tell statistics explorer which endpoints to use. The URLss
also implicitly define the context in which statistics explorer is executed (first URL part after prefix). Following
URLs need to be defined.
dataSourceListUrl : /<PREFIX>/<CONTEXT>/data-sources
fieldsListUrl : /<PREFIX>/<CONTEXT>/field-collection,
resultDataUrl : /<PREFIX>/<CONTEXT>/data,
loadFieldSettingsUrl : /<PREFIX>/<CONTEXT>/field-settings,
loadConfigurationListUrl : /<PREFIX>/<CONTEXT>/load-configuration-list,
saveConfigurationUrl : /<PREFIX>/<CONTEXT>/save-configuration,
loadConfigurationUrl : /<PREFIX>/<CONTEXT>/load,
deleteConfigurationUrl : /<PREFIX>/<CONTEXT>/delete,
translationsUrl : /<PREFIX>/<CONTEXT>/translations
Include statistics explorer scripts: Include them via symfony webpack encore with {{ encore_entry_script_tags('explorer', null, 'pimcoreStatisticsExplorer') }}
A sample template could look like:
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<link
rel="stylesheet"
href="https://maxcdn.bootstrapcdn.com/bootstrap/4.5.0/css/bootstrap.min.css"
integrity="sha384-9aIt2nRpC12Uk9gS9baDl411NQApFmC26EwAOH8WgZl5MYYxFfc+NcPb1dKGj7Sk"
crossorigin="anonymous"
/>
{{ encore_entry_link_tags('explorer', null, 'pimcoreStatisticsExplorer') }}
</head>
<body>
<div class="container-fluid">
<h1 class="my-3">Statistics Explorer Demo</h1>
<div id="statistics-explorer"></div>
</div>
<script type="text/javascript">
statisticsExplorerConfig = {
dataSourceListUrl: '/admin/stats/portal/data-sources',
fieldsListUrl: '/admin/stats/portal/field-collection',
resultDataUrl: '/admin/stats/portal/data',
loadFieldSettingsUrl: '/admin/stats/portal/field-settings',
loadConfigurationListUrl: '/admin/stats/portal/load-configuration-list',
saveConfigurationUrl: '/admin/stats/portal/save-configuration',
loadConfigurationUrl: '/admin/stats/portal/load',
deleteConfigurationUrl: '/admin/stats/portal/delete',
translationsUrl: '/admin/stats/portal/translations'
}
</script>
{{ encore_entry_script_tags('explorer', null, 'pimcoreStatisticsExplorer') }}
</body>
</html>
Of course, it is also possible to directly embed it into an existing react application.
See explorer.js for details. | Embedding Into Application | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Usage/Using_Statistics_Explorer#exploring-data | Exploring Data
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] |
https://pimcore.com/docs/platform//Statistics_Explorer/Usage/Using_Statistics_Explorer#select-data-source | Select Data Source
First step when exploring is to select a data source. For more information how to
define data sources see Installation and Configuration. | Select Data Source | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Usage/Using_Statistics_Explorer#select-statistics-mode | Select Statistics Mode
The statistics explorer supports two different modes:
Statistic: Standard mode that calculates statistics based on defined metrics and also
builds pivot tables when rows and columns are defined.
List: Simple list of data with defined columns.
| Select Statistics Mode | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Usage/Using_Statistics_Explorer#select-rows-and-columns | Select Rows and Columns
Depending on the statistics mode either rows and columns or just columns can be defined.
Which rows and columns are available is defined by the data source. | Select Rows and Columns | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Usage/Using_Statistics_Explorer#define-field-settings | Define Field Settings
As soon as rows and/or columns are selected, field settings for can be defined for them.
The available settings depend on data source type, field type and position of the field
(row/column/first/last), and should be self explaining. | Define Field Settings | [
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] |
https://pimcore.com/docs/platform//Statistics_Explorer/Usage/Using_Statistics_Explorer#define-filters | Define Filters
As soon as data source is selected, filters can be defined. These are applied to the
query before the statistics are calculated. Available fields and operators depend on
data source type and field type and should be self explaining. | Define Filters | [
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] |
https://pimcore.com/docs/platform//Statistics_Explorer/Usage/Using_Statistics_Explorer#select-visualization | Select Visualization
In Statistic mode, data also can be visualized with simple charts. For the charts
same data is used as shown in table. Following chart types are supported:
Line Chart
Bar Chart
Area Chart
Pie Chart
| Select Visualization | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Usage/Using_Statistics_Explorer#save-&-load-&-share | Save & Load & Share
Configurations can be saved and loaded later on. They also can be shared with other users
or user roles.
If a user is not owner of a configuration, changes only can be saved as a new copy of the
configuration (which then can be shared again). The user cannot overwrite the original configuration.
The configurations are stored in database.
Besides own and shared configurations, there also can be global configurations.
For details see Providing Predefined Statistic Configurations. | Save & Load & Share | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Usage/Using_Statistics_Loader#using-statistics-loader | Using Statistics Loader
The statistics loader can be used to embed the report (table and chart) of stored
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https://pimcore.com/docs/platform//Statistics_Explorer/Usage/Using_Statistics_Loader#steps-to-embed-into-application | Steps to Embed into Application
Include boostrap style sheets: Statistics explorer is using bootstrap markup. To provide proper styling it
makes sense in include bootstrap style sheets
Include statistics loader style sheets: Include them via symfony webpack encore with {{ encore_entry_link_tags('loader', null, 'pimcoreStatisticsExplorer') }}
Define statistics loader markup node: For each report add a markup that has the statistics-container class assigned and the
the data-config-id attribute set, e.g. <div class="statistics-container" data-config-id="global_global1"></div>.
Define URLs in statisticsExplorerConfig: To tell statistics explorer which endpoints to use. The URLss
also implicitly define the context in which statistics explorer is executed (first URL part after prefix). Following
URLs need to be defined.
loadConfigurationUrl : /<PREFIX>/<CONTEXT>/load,
resultDataUrl : /<PREFIX>/<CONTEXT>/data,
translationsUrl : /<PREFIX>/<CONTEXT>/translations
Include statistics loader scripts: Include them via symfony webpack encore with {{ encore_entry_script_tags('loader', null, 'pimcoreStatisticsExplorer') }}
A sample template could look like:
<!DOCTYPE html>
<html lang="en">
<head>
<!-- Required meta tags -->
<meta charset="utf-8">
<meta name="viewport" content="width=device-width, initial-scale=1, shrink-to-fit=no">
<link
rel="stylesheet"
href="https://maxcdn.bootstrapcdn.com/bootstrap/4.5.0/css/bootstrap.min.css"
integrity="sha384-9aIt2nRpC12Uk9gS9baDl411NQApFmC26EwAOH8WgZl5MYYxFfc+NcPb1dKGj7Sk"
crossorigin="anonymous"
/>
{{ encore_entry_link_tags('loader', null, 'pimcoreStatisticsExplorer') }}
</head>
<body>
<div class="container">
<h1 class="my-3">Statistics Loading Sample</h1>
<div class="statistics-container" data-config-id="global_global1"></div>
<hr/>
<div class="statistics-container" data-config-id="7eb395c9-f809-11ea-9e4e-005056a349c0"></div>
</div>
<script type="text/javascript">
statisticsExplorerConfig = {
loadConfigurationUrl: '/admin/stats/portal/load',
resultDataUrl: '/admin/stats/portal/data',
translationsUrl: '/admin/stats/portal/translations'
}
</script>
{{ encore_entry_script_tags('loader', null, 'pimcoreStatisticsExplorer') }}
</body>
</html>
Of course it is also possible to directly embed it into an existing react application.
See loader.js for details. | Steps to Embed into Application | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Further_Customizing/Customizing_Results#customizing-results | Customizing Results
Depending on context and use case it might be necessary to customize the result before
printing it to the reports.
Use cases might be
Adding additional filters due to user permissions
Enriching result data with additional information, e.g. nice names, links, ...
Customizing table template for including links etc.
With statistics explorer, this can be archived by subscribing to events. | Customizing Results | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Further_Customizing/Customizing_Results#event-datafiltermodificationevent | Event DataFilterModificationEvent
Fires after filter condition for data request is generated and allows to modify the filter
Available information
Context
Configuration (if it is a saved configuration)
Data source name
Statistics mode (statistic or list)
Changeable information
Filter
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] |
https://pimcore.com/docs/platform//Statistics_Explorer/Further_Customizing/Customizing_Results#event-dataprequeryevent | Event DataPreQueryEvent
Fires just before query is sent to storage backend and allows to modify the query
Available information
Context
Configuration (if it is a saved configuration)
Data source name
Statistics mode (statistic or list)
Changeable information
Query (elasticsearch query array, sql statement)
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https://pimcore.com/docs/platform//Statistics_Explorer/Further_Customizing/Customizing_Results#event-dataresultevent | Event DataResultEvent
Fires before statistics data result is returned to controller and allows to modify the result
Available information
Context
Configuration (if it is a saved configuration)
Data source name
Statistics mode (statistic or list)
Changeable information
StatisticsResult
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https://pimcore.com/docs/platform//Statistics_Explorer/Further_Customizing/Customizing_Results#event-tablerenderevent | Event TableRenderEvent
Fires before table template is rendered and allows to modify template name and its parameters
Available information
Context
Configuration (if it is a saved configuration)
Data source name
Statistics mode (statistic or list)
Changeable information
template
parameters
| Event TableRenderEvent | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Further_Customizing/Providing_Predefined_Statistic_Configuration#provide-predefined-statistic-configuration | Provide Predefined Statistic Configuration
There are two options to provide predefined statistic configurations that are globally visible
to every user in a certain context. | Provide Predefined Statistic Configuration | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Further_Customizing/Providing_Predefined_Statistic_Configuration#global-configurations-via-symfony-configuration-tree | Global Configurations via Symfony Configuration Tree
These predefined configurations can be defined on application level or by any bundle and
are configured in symfony configuration tree with the pimcore_statistics_explorer.global_configurations
configuration.
Following information is necessary:
name: The unique name of the configuration, that is also shown in the loading list.
context: Context in which configuration should be shown.
configuration: JSON encoded string of configuration. The best way is to create a configuration in statistics
explorer, save it and then copy configuration from database table (which is also JSON encoded).
| Global Configurations via Symfony Configuration Tree | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Further_Customizing/Providing_Predefined_Statistic_Configuration#sample-configuration | Sample Configuration
pimcore_statistics_explorer:
global_configurations:
Global Sample 1:
context: 'portal'
configuration: '{"showTable":true,"showChart":false,"chartType":null,"selectedDataSource":{"value":"tracking_test","label":"tracking_test","type":"ELASTIC_SEARCH"},"statisticMode":"statistic","rows":[{"value":"dimensions.download.package","label":"dimensions.download.package","typeGroup":"default"}],"columns":[{"value":"dimensions.download.context","label":"dimensions.download.context","typeGroup":"default"}],"filters":[],"fieldSettings":{"dimensions.download.package":{"typeGroup":"default","order":"_key||asc","max":"60"},"dimensions.download.context":{"typeGroup":"default","order":"_key||asc","max":200}}}'
Global Sample 2:
context: 'portal'
configuration: '{"showTable":false,"showChart":true,"chartType":"Pie","selectedDataSource":{"value":"tracking_test","label":"tracking_test","type":"ELASTIC_SEARCH"},"statisticMode":"statistic","rows":[{"value":"dimensions.download.package","label":"dimensions.download.package","typeGroup":"default"}],"columns":[{"value":"dimensions.download.context","label":"dimensions.download.context","typeGroup":"default"}],"filters":[],"fieldSettings":{"dimensions.download.package":{"typeGroup":"default","order":"_key||asc","max":"60"},"dimensions.download.context":{"typeGroup":"default","order":"_key||asc","max":200}}}'
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https://pimcore.com/docs/platform//Statistics_Explorer/Further_Customizing/Providing_Predefined_Statistic_Configuration#inject-dynamic-configurations-via-event | Inject dynamic Configurations via Event | Inject dynamic Configurations via Event | [
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] |
https://pimcore.com/docs/platform//Statistics_Explorer/Further_Customizing/Providing_Predefined_Statistic_Configuration#event-loadconfigurationevent | Event LoadConfigurationEvent
Fires before a configuration with given id and context is loaded from default sources
(global configurations, database). If configuration is set to event, this one is used and further configuration
loading is skipped.
Available information
Id
Context
Changeable information
Configuration
| Event LoadConfigurationEvent | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Further_Customizing/Adding_Data_Sources_during_Runtime#adding-data-sources-during-runtime | Adding Data Sources during Runtime
It is possible to add additional data sources during runtime by listening to following event.
This event fires once per process when the StatisticsService is initialized. | Adding Data Sources during Runtime | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Further_Customizing/Adding_Data_Sources_during_Runtime#event-statisticsserviceinitevent | Event StatisticsServiceInitEvent
Fires when StatisticsService is initialized
Available information
StatisticsService
Changeable information
call all methods of StatisticsService, most likely addDataSourceAdapter for adding
additional data sources.
| Event StatisticsServiceInitEvent | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Tracking_Events#tracking-events | Tracking Events
The bundle also ships with basis to easily implement a tracker that tracks events
to an elasticsearch index.
Supports elasticsearch versions 8. | Tracking Events | [
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] |
https://pimcore.com/docs/platform//Statistics_Explorer/Tracking_Events#implement-tracker | Implement Tracker
To implement a tracker, extend the AbstractElasticsearchTracker and implement all abstract methods:
getIndexName: Define the name of index.
buildMappingArray: Define elasticsearch mapping for index as array.
trackEvent: Method for actual event tracking that is called by outside world. It takes a parameter array,
prepares data for tracking (e.g. extracting information, adding timestamp, etc.) and builds structure expected by
the mapping, and then calls doTrackEvent (which does the elasticsearch communication).
The abstract base class takes care of all the generic index creation, alias management and elasticsearch
communication.
A sample implementation can be found in DummyTracker. | Implement Tracker | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Tracking_Events#tracking-events | Tracking Events
For each event type, a tracker needs to be implemented. The tracker implementations then need to be registered
as services and then can be injected to any service or controller.
By calling $tracker->trackEvent($parameters) the events get tracked. | Tracking Events | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Tracking_Events#elasticsearch-index-structure | Elasticsearch Index Structure
For performance and data housekeeping reasons, the tracker implements some kind of index rotating.
This means data is tracked to an index named <INDEX_NAME>__<YEAR>_<MONTH> which always corresponds to the
current month. If the index doesn't exist, it is created automatically.
In addition to creation of the indices, there is also an alias <INDEX_NAME> is created. This alias shows to
all existing rolled indices and can be used for querying the statistics.
The abstract base class for the tracker takes care of all necessary steps. There are only two things to consider:
When implementing tracker is to extend from the abstract base class and implement the abstract methods.
When setting up a data source for the explorer, the index alias needs to be used as index name.
Housekeeping itself needs to be done by the administrator of the elasticsearch cluster -
by closing/archiving deleting old indices that are not needed anymore for statistics and updating the index alias. | Elasticsearch Index Structure | [
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https://pimcore.com/docs/platform//Statistics_Explorer/Contribution_Guide#frontend-builds | Frontend Builds
All frontend assets are build with webpack encore. The most recent production build is
added to the repository in src/Resources/public/build folder.
To build frontend assets
install webpack encore to your project
add following content to your package.json
{
"name": "demo-project",
"version": "1.0.0",
"description": "This skeleton should be used by experienced Pimcore developers for starting a new project from the ground up. If you are new to Pimcore, it's better to start with our demo package, listed below 😉",
"main": "index.js",
"scripts": {
"encore": "encore",
"dev": "npx encore dev --watch",
"production": "npx encore production"
},
"dependencies": {
"statitics-explorer": "file:<RELATIVE_PATH_TO_STATISTICS_EXPLORER_BUNDLE>"
},
"author": "",
"license": "ISC",
"devDependencies": {
"@babel/preset-react": "^7.10.4",
"@symfony/webpack-encore": "^0.31.0",
"webpack-notifier": "^1.8.0"
}
}
for development use following command: npm run dev
for creating production build use following command: npm run production
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https://pimcore.com/docs/platform//Statistics_Explorer#statistics_explorer | Statistics_Explorer
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https://pimcore.com/docs/platform//Statistics_Explorer#title:-statistics-explorer | title: Statistics Explorer | title: Statistics Explorer | [
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https://pimcore.com/docs/platform//Statistics_Explorer#pimcore-statistics-explorer | Pimcore Statistics Explorer
Pimcore Statistics Explorer provides a simple statistics tool that can be integrated into your application allowing users to dig into data and create statistic reports.
Sample interface for Pimcore Statistics Explorer | Pimcore Statistics Explorer | [
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https://pimcore.com/docs/platform//Statistics_Explorer#features-in-a-nutshell | Features in a Nutshell
Statistics Explorer to dig into data and create reports.
Two statistic modes:
Simple listings.
Statistics with calculating metrics and pivot tables.
Different chart types for visualization of report data.
Supported data backends:
Elasticsearch index.
MySQL table.
Saving and sharing of report configurations.
Statistics Loader to include reports in any custom web pages.
Event Tracker for custom event tracking.
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https://pimcore.com/docs/platform//Statistics_Explorer#documentation-overview | Documentation Overview
Installation & Configuration
Using Statistics Explorer
Using Statistics Loader
Customizing Results
Providing Predefined Statistic Configurations
Tracking Events
| Documentation Overview | [
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https://pimcore.com/docs/platform//Statistics_Explorer#development-and-contribution | Development and Contribution
Contribution Guide
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Architecture_Overview#architecture-overview | Architecture Overview
The following architecture overview shows available framework components. The component configuration takes place in
the pimcore_ecommerce_framework configuration node and a factory is responsible for resolving of the implementations.
For each component a custom implementation can be configured and used.
| Architecture Overview | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Architecture_Overview#separation-of-concerns | Separation of Concerns
We try to separate different functionality and encapsulate them as good as possible in the different components.
Following list should state the basic ideas and represent a guideline for future extensions: | Separation of Concerns | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Architecture_Overview#index-service | Index Service
The Index Service is responsible for all aspects concerning indexing products and providing an API to access product
data from the index.
These aspects contain among other things:
Defining which attributes should be indexed.
Implementations for different search backends (e.g. mysql, elasticsearch, fact finder, findologic).
Product Lists as the API to access the product data stored in the search index. Product Lists can be used
by controllers to display product listings.
| Index Service | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Architecture_Overview#filter-service | Filter Service
The Filter Service is responsible for all aspects concerning filtering products and setting up a filtered navigation.
It is tightly coupled with the Product Lists of the Index Service, provides the developer a simple API for building
a layered navigation and takes care of query generation, counting results and stuff. | Filter Service | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Architecture_Overview#availability-system | Availability System
The Availability System is responsible for all aspects concerning product availability. Here the logic for calculating
availabilities, calling external availability services, etc. is encapsulated. Each product has an Availability System
assigned and when it comes to getting the availability of a product, this should be delegated to the Availability
System of the product. | Availability System | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Architecture_Overview#price-system-and-taxes | Price System and Taxes
Like Availability Systems, there are Price Systems which are responsible for all aspects of getting product prices.
Here the logic of calculating the product prices should be encapsulated. Each product has a Price System and when it
comes to getting the price of a product, this should be delegated to the Price System of the product.
Also Tax Management is located in this component. | Price System and Taxes | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Architecture_Overview#pricing-manager | Pricing Manager
In addition to the Price System, there is the Pricing Manager which is responsible for all aspects concerning
modification of prices for marketing purposes. Therefore pricing rules (e.g. certain products, certain time frames, ...)
build conditions which need to be valid that certain pricing actions (e.g. product price discount, free shipping, ...)
are executed. | Pricing Manager | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Architecture_Overview#voucher-system | Voucher System
The Voucher System is responsible for all aspects concerning vouchers for customers. These aspects contain among
other things:
Voucher Services
Voucher Tokens
Voucher Statistics
Modification of product prices based on vouchers which is done with the help of the Pricing Manager.
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https://pimcore.com/docs/platform//Ecommerce_Framework/Architecture_Overview#cart-manager | Cart Manager
The Cart Manager is responsible for all aspects concerning carts. These aspects contain among other things:
Different cart implementations
CRUD-Operations on carts
Price calculations for carts
Price modifications for carts (like shipping costs, etc.)
| Cart Manager | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Architecture_Overview#checkout-manager | Checkout Manager
The Checkout Manager is responsible for all aspects concerning checkout process and an one-stop API for getting
through the checkout process. The Checkout Manager always works with a cart and at certain points in the checkout
process it delegates to other components to convert the cart to an order object (Order Manager), start payment
operations (Commit Order Processor and Payment Manager) and commits the order (Commit Order Processor). | Checkout Manager | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Architecture_Overview#commit-order-processor | Commit Order Processor
The Commit Order Processor is part of the Checkout Manager namespace and is responsible for all aspects concerning
committing and order.
These aspects contain among other things:
Handle payment response
commit order payment
commit order and send order to other backend systems (e.g. erp system)
In contrast to the Checkout Manager, the Commit Order Processor does not work with carts anymore and can be
initialized without a cart. Therefore it also can be used to commit orders in combination with server side payment
notifications when no cart is available anymore. | Commit Order Processor | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Architecture_Overview#payment-manager | Payment Manager
The Payment Manager is responsible for all aspects concerning payment. The main aspect is the implementation
of different Payment Providers to integrate them into the framework. | Payment Manager | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Architecture_Overview#order-manager | Order Manager
The Order Manager is responsible for all aspects of working with orders except committing them (which is the
responsibility of the Commit Order Processor). These aspects contain among other things:
Creating orders based on carts
Order Storage
Loading orders
Loading order lists and filter them (Order List)
Working with orders after order commit (Order Agent)
| Order Manager | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Installation#installation-and-first-configuration | Installation and First Configuration
This section describes the installation of the E-Commerce Framework and the first steps of configuration. | Installation and First Configuration | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Installation#installation | Installation | Installation | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Installation#minimum-requirements | Minimum Requirements
Pimcore >= 11.0
| Minimum Requirements | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Installation#install | Install
Install bundle via composer:
composer require pimcore/ecommerce-framework-bundle
Enable bundle via console or extensions manager:
php bin/console pimcore:bundle:install PimcoreEcommerceFrameworkBundle
Check if the bundle has been installed:
php bin/console pimcore:bundle:list
+---------------------------------+---------+-----------+----+-----+-----+
| Bundle | Enabled | Installed | I? | UI? | UP? |
+---------------------------------+---------+-----------+----+-----+-----+
| PimcoreEcommerceFrameworkBundle | ✔ | ✔ | ❌ | ✔ | ❌ |
+---------------------------------+---------+-----------+----+-----+-----+
The installer does following tasks:
Install several field collections.
Install several object classes.
Install several object bricks.
Create additional tables for carts, pricing rules, vouchers, etc.
Import translations for Pimcore Admin UI and Order Backend.
Add additional permissions.
If either classes, field collections, object bricks or tables already exist, the installation cannot be started.
After this installation routine, additional configurations have to be made - most important Product and ProductCategory.
Please see Configuration for further information on available options. | Install | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Installation#configure-product-and-product-category-class | Configure Product and Product Category Class
The E-Commerce Framework installation does not create classes for products and product categories. That is because the
framework does not limit you on specific classes or class structures. Literally every class can act as a product or product
category class and it is also possible to have several product classes (if necessary).
The only requirement is, that the classes have to be 'prepared' for being products or product categories. | Configure Product and Product Category Class | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Installation#product | Product
There are two ways of preparing a Pimcore class for product-usage in the E-Commerce Framework
The Pimcore class needs to extend the abstract class \Pimcore\Bundle\EcommerceFrameworkBundle\Model\AbstractProduct
This is useful, when both product index and checkout functionality are based on the E-Commerce Framework.
Make sure that the Pimcore class implements either \Pimcore\Bundle\EcommerceFrameworkBundle\Model\IndexableInterface or
\Pimcore\Bundle\EcommerceFrameworkBundle\Model\CheckoutableInterface - or both, depending on the use case it is used for.
This is useful, when e.g. only checkout functionality is based on the E-Commerce Framework, but not the product
presentation.
The interfaces define methods that are needed for the two use cases and need to be implemented.
For the abstract class use the parent class functionality of Pimcore. For implementing the interfaces use either
the parent class functionality or the overriding models functionality of Pimcore
(see also Overriding Models).
If using the abstract class, also have a look at its implementation.
You might need to override a few methods that cannot be implemented by the abstract class and throw an
exception depending on the use case you are using it.
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https://pimcore.com/docs/platform//Ecommerce_Framework/Installation#product-category | Product Category
When a product category class is used, this class needs to extend the abstract class
\Pimcore\Bundle\EcommerceFrameworkBundle\Model\AbstractCategory.
For product categories only one Pimcore class should be used. For products, several Pimcore classes can be used.
Possibly the index update scripts need to be adapted.
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Installation#configuring-pimcore-ecommerce-framework | Configuring Pimcore Ecommerce Framework
The E-Commerce Framework is split up into multiple components which can be configured individually. For further reading please see:
Configuration describes configuration features valid for the whole framework configuration
PimcoreEcommerceFrameworkBundle Configuration Reference
contains a reference of the whole configuration tree
Please see the following sections for a description of each component and and a configuration reference describing
the configuration entries relevant to the component:
Cart Manager
Price Systems
Availability Systems
Checkout Manager and Checkout Steps
Payment Providers
Index Service and which attributes should be in the Product Index
Pricing Manager
...
For detailed information see comments within the configuration file. Depending on your use case, you might not need
all components configured in the configuration file.
During development you will return to the configuration and adjust the settings multiple times.
| Configuring Pimcore Ecommerce Framework | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Configuration/PimcoreEcommerceFrameworkBundle_Configuration_Reference#pimcoreecommerceframeworkbundle-configuration-reference | PimcoreEcommerceFrameworkBundle Configuration Reference
The following is the generated reference for the pimcore_ecommerce_framework configuration tree. This reference can
be generated by issuing the following command:
$ bin/console config:dump-reference pimcore_ecommerce_framework
IMPORTANT
This is just a reference for the configuration tree, you need to adjust it to replace the required configurations by setting up the respective module.
# Default configuration for extension with alias: "pimcore_ecommerce_framework"
pimcore_ecommerce_framework:
# Default scale used for Decimal objects
decimal_scale: 4
# Configuration of Pimcore backend menu entries
pimcore:
menu:
# Enabling/Disabling Pricing Rules menu entry. User specific settings can be done via permissions.
pricing_rules:
enabled: true
# Configuring order list menu - enabling/disabling and defining route of order list to inject custom implementations of order backend.
order_list:
enabled: true
route: pimcore_ecommerce_backend_admin-order_list
path: null
# Configuration of e-commerce framework factory
factory:
# Service Id of factory implementation
factory_id: Pimcore\Bundle\EcommerceFrameworkBundle\Factory
# If true the factory will not fall back to the default tenant if a tenant is passed but not existing
strict_tenants: false
# Configuration of environment
environment:
environment_id: Pimcore\Bundle\EcommerceFrameworkBundle\SessionEnvironment
options: []
# Settings for cart manager
cart_manager:
# Configuration per tenant. If a _defaults key is set, it will be merged into every tenant. It needs to be set in every file. A tenant named "default" is mandatory.
tenants:
# Examples:
_defaults:
cart:
factory_id: CartFactory
default:
cart:
factory_options:
cart_class_name: Pimcore\Bundle\EcommerceFrameworkBundle\CartManager\Cart
price_calculator:
modificators:
shipping:
class: Pimcore\Bundle\EcommerceFrameworkBundle\CartManager\CartPriceModificator\Shipping
options:
charge: 5.90
noShipping:
price_calculator:
factory_id: PriceCalculatorFactory
modificators: []
# Prototype
name:
# Service id of cart service
cart_manager_id: Pimcore\Bundle\EcommerceFrameworkBundle\CartManager\MultiCartManager
# Configuration for carts
cart:
# Service id of cart factory and configuration array
factory_id: Pimcore\Bundle\EcommerceFrameworkBundle\CartManager\CartFactory
factory_options:
# Defaults:
cart_class_name: Pimcore\Bundle\EcommerceFrameworkBundle\CartManager\Cart
guest_cart_class_name: Pimcore\Bundle\EcommerceFrameworkBundle\CartManager\SessionCart
price_calculator:
factory_id: Pimcore\Bundle\EcommerceFrameworkBundle\CartManager\CartPriceCalculatorFactory
factory_options:
# 'class' defines the class name of the price calculator, which the factory instantiates.
# If you wish to replace or extend the price calculation routine shipped with the e-commerce
# framework provide your custom class name here.
class: Pimcore\Bundle\EcommerceFrameworkBundle\CartManager\CartPriceCalculator
# List price modificators for cart, e.g. for shipping-cost, special discounts, etc. Key is name of modificator.
modificators:
# Prototype
name:
class: ~ # Required
options: []
# Configuration of Order Manager
order_manager:
# Configuration per tenant. If a _defaults key is set, it will be merged into every tenant. A tenant named "default" is mandatory.
tenants:
# Prototype
name:
# Service id for order manager implementation
order_manager_id: Pimcore\Bundle\EcommerceFrameworkBundle\OrderManager\V7\OrderManager
# Options for order manager
options:
# Pimcore object class for orders
order_class: \Pimcore\Model\DataObject\OnlineShopOrder
# Pimcore object class for order items
order_item_class: \Pimcore\Model\DataObject\OnlineShopOrderItem
# Class for order listing
list_class: Pimcore\Bundle\EcommerceFrameworkBundle\OrderManager\Order\Listing
# Class for order item listing
list_item_class: Pimcore\Bundle\EcommerceFrameworkBundle\OrderManager\Order\Listing\Item
# Default parent folder for new orders
parent_order_folder: /order/%%Y/%%m/%%d
order_agent:
# Service id for order agent factory
factory_id: Pimcore\Bundle\EcommerceFrameworkBundle\OrderManager\Order\AgentFactory
factory_options: []
# Configuration of Pricing Manager
pricing_manager:
# Condition mapping from name to used class
conditions:
# Prototype
name: ~
# Action mapping from name to used class
actions:
# Prototype
name: ~
# Configuration per tenant. If a _defaults key is set, it will be merged into every tenant. A tenant named "default" is mandatory.
tenants:
default: ~
# Prototype
name:
enabled: true
# Service id of pricing manager
pricing_manager_id: Pimcore\Bundle\EcommerceFrameworkBundle\PricingManager\PricingManager
# Options for pricing manager
pricing_manager_options:
rule_class: Pimcore\Bundle\EcommerceFrameworkBundle\PricingManager\Rule
price_info_class: Pimcore\Bundle\EcommerceFrameworkBundle\PricingManager\PriceInfo
environment_class: Pimcore\Bundle\EcommerceFrameworkBundle\PricingManager\Environment
# Configuration of price systems - key is name of price system.
price_systems:
# Prototype
name:
id: ~ # Required
# Configuration of availability systems - key is name of price system.
availability_systems:
# Prototype
name:
id: ~ # Required
# Configuration of checkout manager
checkout_manager:
# Configuration per tenant. If a _defaults key is set, it will be merged into every tenant. A tenant named "default" is mandatory.
tenants:
# Prototype
name:
factory_id: Pimcore\Bundle\EcommerceFrameworkBundle\CheckoutManager\CheckoutManagerFactory
factory_options: []
# Define payment provider which should be used for payment. Payment providers are defined in payment_manager section.
payment:
provider: null
# Define used commit order processor
commit_order_processor:
id: Pimcore\Bundle\EcommerceFrameworkBundle\CheckoutManager\V7\CommitOrderProcessor
options: []
# Define different checkout steps which need to be committed before commit of order is possible
steps:
# Prototype
name:
class: ~ # Required
options: []
# Configuration of payment manager and payment providers
payment_manager:
payment_manager_id: Pimcore\Bundle\EcommerceFrameworkBundle\PaymentManager\PaymentManager
# Configuration of payment providers, key is name of provider.
providers:
# Prototype
name:
name: ~
# Service id of payment provider implementation
provider_id: ~ # Required
# Currently active profile
profile: ~ # Required
# Available profiles with options
profiles:
# Prototype
name:
# Prototype
name: ~
# Configuration of index service
index_service:
index_service_id: Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\IndexService
default_tenant: default
# Configure assortment tenants - at least one tenant has to be configured. If a _defaults key is set, it will be merged into every tenant.
tenants:
# Prototype
name:
enabled: true
# Service id of config implementation
config_id: Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Config\DefaultMysql
config_options: []
# Worker id of worker implementation. Can be omitted, then default worker id of configured config is used.
worker_id: ~
# Placeholder values in this tenant attributes definition (locale: "%%locale%%") will be replaced by the given placeholder value (eg. "de_AT")
placeholders:
'%%locale%%': 'de_AT'
# Add columns for general fulltext search index of product list - they must be part of the column configuration below
search_attributes: []
# Attributes definition for product index - key is name of attribute
attributes:
# Prototype
name:
name: ~ # Required
# Defines object attribute field name, can be omitted if the same like name of index attribute
field_name: null
# Type of index attribute (database column or elasticsearch data type)
type: null
# Locale for localized fields, can be omitted if not necessary
locale: null
# Defines filter group for filter definition in filter service
filter_group: null
options: []
# Service id of getter for this field
getter_id: null
getter_options: []
# Service id of interpreter for this field
interpreter_id: null
interpreter_options: []
# Hides field in field list selection data type of filter service - default to false
hide_in_fieldlist_datatype: false
# Configuration of filter service
filter_service:
# Configuration per tenant. If a _defaults key is set, it will be merged into every tenant.
tenants:
# Prototype
name:
enabled: true
service_id: Pimcore\Bundle\EcommerceFrameworkBundle\FilterService\FilterService
# Assign backend implementations and views to filter type field collections
filter_types:
# Prototype
name:
# Service id for filter type implementation
filter_type_id: ~ # Required
# Default template for filter, can be overwritten in filter definition
template: ~ # Required
options: []
# Configuration of voucher service
voucher_service:
# Service id of voucher service implementation
voucher_service_id: Pimcore\Bundle\EcommerceFrameworkBundle\VoucherService\DefaultService
voucher_service_options:
# Reservations older than x MINUTES get removed by maintenance task
reservation_minutes_threshold: 5
# Statistics older than x DAYS get removed by maintenance task
statistics_days_threshold: 30
# Configuration of token managers
token_managers:
# Service id of token manager factory
factory_id: Pimcore\Bundle\EcommerceFrameworkBundle\VoucherService\TokenManager\TokenManagerFactory
# Mapping for token manager implementations
mapping:
# Prototype
name: ~
# Configuration of offer tool
offer_tool:
# Service id for offer tool service
service_id: Pimcore\Bundle\EcommerceFrameworkBundle\OfferTool\DefaultService
order_storage:
# Pimcore object class for offers
offer_class: Pimcore\Model\DataObject\OfferToolOffer
# Pimcore object class for offer items
offer_item_class: Pimcore\Model\DataObject\OfferToolOfferItem
# default path for new offers
parent_folder_path: /offertool/offers/%%Y/%%m
# Configuration of Tracking Manager
tracking_manager:
# Service id of tracking manager
tracking_manager_id: Pimcore\Bundle\EcommerceFrameworkBundle\Tracking\TrackingManager
# Enable/Disable trackers and configure them
trackers:
# Prototype
enhanced_ecommerce:
# Service id for tracker
id: Pimcore\Bundle\EcommerceFrameworkBundle\Tracking\Tracker\Analytics\EnhancedEcommerce
enabled: false
# Service id for item builder for tracker
item_builder_id: Pimcore\Bundle\EcommerceFrameworkBundle\Tracking\TrackingItemBuilder
# List of assortment and checkout tenants where this tracker should be activated for.
tenants:
# Add list of assortment tenants where the tracker should be activated for. Empty array means activated for all tenants.
assortment: []
# Add list of checkout tenants where the tracker should be activated for. Empty array means activated for all tenants.
checkout: []
| PimcoreEcommerceFrameworkBundle Configuration Reference | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Configuration#configuration | Configuration
The E-Commerce Framework is implemented as semantic bundle configuration which means that you can configure the framework
in any of the loaded config files (e.g. /config/config.yaml or *Bundle/Resources/config/pimcore/config.yaml) by
adding configuration to the pimcore_ecommerce_framework node.
The configuration is built upon the Symfony Config Component and
defines a well-known configuration tree which is validated against a defined configuration structure. While configuring
the framework you'll get instant feedback on configuration errors. As Pimcore defines a standard configuration for the
E-Commerce Framework, your custom configuration will be merged into the standard configuration. You can dump the final
(merged, validated and normalized) configuration at any time with the following command:
$ bin/console debug:config pimcore_ecommerce_framework
A reference of available configuration entries can be found on PimcoreEcommerceFrameworkBundle Configuration Reference.
As the E-Commerce Framework makes heavy use of Symfony service definitions and you'll need to reference IDs of custom
services in the configuration it's advised that you are comfortable to work with Symfony's Service Container. | Configuration | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Configuration#tenant-support-and-_defaults-sections | Tenant support and _defaults sections
As certain components of the E-Commerce Framework support different tenants, Pimcore adds a way to specify settings
which are common to all tenants in a special tenant named _defaults. If such a tenant exists, its values will be merged
into all other tenants and the _defaults tenant will be removed afterwards. The logic described below applies to all
components supporting tenants.
As example, a simple cart_manager configuration section which defines a default and a noShipping tenant:
pimcore_ecommerce_framework:
cart_manager:
tenants:
# _defaults will be automatically merged into every tenant and removed afterwards
# the result will be a default and a noShipping
_defaults:
cart:
factory_id: CartFactoryId
price_calculator:
factory_id: PriceCalculatorFactoryId
factory_options:
foo: bar
default:
price_calculator:
factory_options:
baz: 1234
noShipping:
price_calculator:
factory_options:
baz: 4321
In addition to the _defaults tenant, you can define additional tenants starting with _defaults to make use
of YAML inheritance.
pimcore_ecommerce_framework:
cart_manager:
tenants:
_defaults_foo:
price_calculator:
factory_options: &defaults_foo_options # define an anchor
class: MyCommonCalculatorClass
default:
price_calculator:
factory_options:
<<: *defaults_foo_options # import anchor
anotherOne:
price_calculator:
factory_options:
<<: *defaults_foo_options # import anchor
Of course you can still use the PHP config file format by importing a PHP config file from your config.yaml to be
completely free how to merge common configuration entries. | Tenant support and _defaults sections | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Configuration#service-ids-and-tenant-specifics | Service IDs and tenant specifics
When configuring tenant specific services, there are multiple configuration entries demanding a service ID as configuration
value. This means, the system expects the configured value to be available as service definition on the container. You can
read through the service definitions defined in PimcoreEcommerceFrameworkBundle
to get an insight of default e-commerce services.
As an example let's take a look at a price system configuration:
# when loading the "default" price system, use a service named "App\Ecommerce\PriceSystem\CustomPriceSystem"
pimcore_ecommerce_framework:
price_systems:
default:
# price system defined and configured as container service
id: App\Ecommerce\PriceSystem\CustomPriceSystem
The configuration above expects something like this configured as service:
services:
App\Ecommerce\PriceSystem\CustomPriceSystem:
arguments:
- 'foo'
The "default" price system is just an alias to your existing service and when loading that price system, your service will
be directly loaded. Getting the "default" price system from the ecommerce framework factory will result in the same instance
as getting App\Ecommerce\PriceSystem\CustomPriceSystem directly from the container. | Service IDs and tenant specifics | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Configuration#service-ids-in-tenant-context | Service IDs in tenant context
Now let's take a look at another example handling tenants:
pimcore_ecommerce_framework:
order_manager:
tenants:
default:
order_manager_id: Pimcore\Bundle\EcommerceFrameworkBundle\OrderManager\OrderManager
options:
parent_order_folder: /orders/default/%%Y/%%m/%%d
b2b:
order_manager_id: Pimcore\Bundle\EcommerceFrameworkBundle\OrderManager\OrderManager
options:
parent_order_folder: /orders/b2b/%%Y/%%m/%%d
As you can see we define 2 tenants default and b2b with the same order manager ID but with different options for
each tenant. In this case it's not possible to just alias the default or the b2b order manager to the given service ID as
we need multiple order manager instances based on this service definition. In this case the framework takes the configured
service ID as template to configure 2 independent child services by utilizing the configured service id as parent service.
This means, that when you request the Pimcore\Bundle\EcommerceFrameworkBundle\OrderManager\OrderManager service from the
container, it would be neither the default nor the b2b tenant. In fact, getting that service directly wouldn't work anyways
as it is missing dependencies. If you take a look at the service definition
you can see that the definition is missing the OrderAgentFactoryInterface argument which will be resolved and set for each
tenant specific order manager.
In short, when configuring multiple tenant specific service to the same service id the framework will:
create a new child definition from the configured service
set tenant specific arguments (as the options above) to the tenant specific child service
register the child service under a another ID which can be resolved by the factory
To keep your services clean and give the service container more optimization (and performance) possibilities you should
define your parent services as private (see order manager definition in the linked config above) as this will result
in the parent definition being removed from the compiled container.
This child definition pattern applies to nearly all service IDs configured inside tenants with the exception of reusable
services (e.g. getters and interpreters in the product index configuration) which do not have an internal state and therefore
can be reused throughout multiple tenants. | Service IDs in tenant context | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Assortment_Tenant_Configuration#assortment-tenant-configuration | Assortment Tenant Configuration
The E-Commerce Framework provides a two level Assortment Tenant system for the Product Index:
Assortment Tenant: The first level of tenants are heavy-weight tenants. They allow multiple shop instances within one
system. The shop instances are completely independent from each other and can contain complete different products,
index attributes and even use different product index implementations.
Assortment Subtenant: The second level of tenants are light-weight tenants, which exist within a shop instance.
Light-weight tenants use the same Product Index with the same attributes as their parent shop, but can contain a subset
of the products. So they are meant to be used for implementing different product assortments within one shop.
One system can have multiple tenants (heavy- and light-weight). But too many tenants can have bad effects on the performance
of saving products, since all Product Indices need to be updated on every save.
By default the system always uses one heavy-weight tenant (which is DefaultMysql), but the default tenant can be disabled. | Assortment Tenant Configuration | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Assortment_Tenant_Configuration#assortment-tenants | Assortment Tenants
For setting up an Assortment Tenant, following steps are necessary:
Implementation of a Tenant Config:
The Tenant Config class is the central configuration of an assortment tenant, defines which products are available for
the tenant and provides the connection to the used Product Index implementation. It needs to implement
Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Config\ConfigInterface.
For detailed information see in-source documentation of the interface. Following implementations are provided by the framework
and may be extended:
Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Config\DefaultMysql: Provides a simple mysql implementation of
the product index.
Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\ConfigOptimizedMysql: Provides an optimized mysql implementation
of the product index.
Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Config\ElasticSearch: Provides a default elasticsearch
implementation of the product index.
Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Config\DefaultFindologic: Provides a default findologic
implementation of the product index.
Configuring Assortment Tenants within configuration:
Each tenant has to be configured within the index_service configuration by defining the tenant config class and index
attributes. Depending on the Product Index implementation, additional configuration may be necessary.
Declare the service:
You need to declare the service as well so the class can be used. On your service configuration or for instance at the top of the ecommerce configuration file:
services:
MyBundle\Service\MySubtenantConfig:
calls:
- [setAttributeFactory, ['@Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Config\AttributeFactory']]
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Assortment_Tenant_Configuration#setting-current-assortment-tenant-for-frontend | Setting current Assortment Tenant for Frontend
The E-Commerce Framework Environment
provides following methods to set the current Assortment Tenant when working with Product Lists in Code:
<?php
/**
* sets current assortment tenant which is used for indexing and product lists
*
* @param string $tenant
* @return mixed
*/
public function setCurrentAssortmentTenant($tenant);
/**
* gets current assortment tenant which is used for indexing and product lists
*
* @return string
*/
public function getCurrentAssortmentTenant();
/**
* sets current assortment sub tenant which is used for indexing and product lists
*
* @param string $subTenant
* @return mixed
*/
public function setCurrentAssortmentSubTenant($subTenant);
/**
* gets current assortment sub tenant which is used for indexing and product lists
*
* @return string
*/
public function getCurrentAssortmentSubTenant();
The current Assortment Tenant has to be set in the application controllers, e.g. after the login of a specific customer.
The Index Service provides the corresponding Product List implementation based on the current tenant. | Setting current Assortment Tenant for Frontend | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Assortment_Tenant_Configuration#example: | Example:
<?php
$factory = \Pimcore\Bundle\EcommerceFrameworkBundle\Factory::getInstance();
//setting assortment tenant
$environment = $factory->getEnvironment();
$environment->setCurrentAssortmentTenant("elasticsearch");
//getting suitable product list
$productlist = $factory->getIndexService()->getProductListForCurrentTenant();
//doing stuff with product list
| Example: | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Assortment_Tenant_Configuration#assortment-subtenants | Assortment Subtenants
Subtenants are light-weight tenants, which share the same Product Index with the same attributes as their parent
assortment tenant. | Assortment Subtenants | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Assortment_Tenant_Configuration#implementing-an-assortment-subtenant-for-mysql | Implementing an Assortment Subtenant for MySQL
The mapping which product is assigned to with subtenant is done with an additional mapping table. The necessary
joins and conditions are implemented within additional methods within
Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Config\MysqlConfigInterface:
/**
* return table name of product index tenant relations for subtenants
*
* @return string
*/
public function getTenantRelationTablename();
/**
* return join statement in case of subtenants
*
* @return string
*/
public function getJoins();
/**
* returns additional condition in case of subtenants
*
* @return string
*/
public function getCondition();
In order to populate the additional mapping data, also following methods have to be implemented:
/**
* in case of subtenants returns a data structure containing all sub tenants
*
* @param IndexableInterface $object
* @param int|null $subObjectId
*
* @return mixed $subTenantData
*/
public function prepareSubTenantEntries(IndexableInterface $object, $subObjectId = null);
/**
* populates index for tenant relations based on given data
*
* @param mixed $objectId
* @param mixed $subTenantData
* @param mixed $subObjectId
*
* @return void
*/
public function updateSubTenantEntries($objectId, $subTenantData, $subObjectId = null);
For an complete example have a look at the sample implementation. | Implementing an Assortment Subtenant for MySQL | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Assortment_Tenant_Configuration#implementing-an-assortment-subtenant-for-elasticsearch | Implementing an Assortment Subtenant for Elasticsearch
In order to populate the additional mapping data, the following method has to be implemented:
/**
* in case of subtenants returns a data structure containing all sub tenants
*
* @param IndexableInterface $object
* @param int|null $subObjectId
*
* @return array $subTenantData
*/
public function prepareSubTenantEntries(IndexableInterface $object, $subObjectId = null);
For an complete example have a look at the sample implementation.
Note: This is currently only implemented for MySQL and elasticsearch based product index implementations.
| Implementing an Assortment Subtenant for Elasticsearch | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Data_Architecture_and_Indexing_Process#data-architecture-and-indexing-process | Data Architecture and Indexing Process
Depending on the Product Index implementation, there are two different Product Index data architectures and ways for
indexing: Simple Mysql Architecture and Optimized Architecture.
For indexing itself the provided Pimcore console commands can be used. | Data Architecture and Indexing Process | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Data_Architecture_and_Indexing_Process#simple-mysql-architecture | Simple Mysql Architecture
Pimcore object data is transferred directly to the Product Index.
After every update of a Pimcore object, the changes are directly written into the Product Index.
Only used for \Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Config\DefaultMysql
Updates of dependent objects (like child objects, variants that inherit data, related objects) are not transferred
into the index automatically.
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Data_Architecture_and_Indexing_Process#console-commands-for-simple-mysql-architecture | Console Commands for Simple Mysql Architecture
For manually updating the whole index use following command:
php bin/console ecommerce:indexservice:bootstrap --update-index
If you need to create or update the index structures you can use:
php bin/console ecommerce:indexservice:bootstrap --create-or-update-index-structure
By default, Pimcore assumes that the product class is Pimcore\Model\DataObject\Product. If you have a
different product class name, please use the --object-list-class param and provide the listing class name
that should be used.
For further details (e.g. only updating certain product types, apply list conditions) see --help section of the
ecommerce:indexservice:bootstrap command.
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Data_Architecture_and_Indexing_Process#optimized-architecture | Optimized Architecture
In the optimized architecture, object data is transferred not directly to the Product Index.
In this case a so called store table is between the Pimcore objects and the Product Index. This store table enables to ...
... update the Product Index only if index relevant data has changed. Therefore the load on the index itself is reduced
and unnecessary write operations are prevented.
... update the Product Index asynchronously and therefore update also dependent elements (children, variants, ...)
of an updated Pimcore object without impact on save performance.
... rebuilding the whole Product Index out of the store table much faster since no direct interaction with
Pimcore objects is needed.
After every update of a Pimcore object, the changes are written into the store table and all child objects of the
updated object are added to the so called preparation queue (see later). As a consequence a periodic full update
should not be necessary any more.
Used for optimized mysql, elasticsearch, ...
| Optimized Architecture | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Data_Architecture_and_Indexing_Process#console-commands-for-optimized-architecture | Console Commands for Optimized Architecture
For updating data in index following commands are available.
For process the preparation queue and update Pimcore objects to the index store table, use following command.
This command should be executed periodically (e.g. all 10 minutes).
php bin/console ecommerce:indexservice:process-preparation-queue
To update the Product Index based on changes stored in the store table use the following command.
This command should be executed periodically (e.g. all 10 minutes).
php bin/console ecommerce:indexservice:process-update-queue
For manually update all Pimcore objects in the index store use following command. As stated before, this should only be
necessary for an initial fill-up of the index. After that, at least Product Index Store and Pimcore objects should always
be in sync. It is important to execute ecommerce:indexservice:process-preparation-queue and
ecommerce:indexservice:process-update-queue periodically though.
php bin/console ecommerce:indexservice:bootstrap --update-index
By default, Pimcore assumes that the product class is Pimcore\Model\DataObject\Product. If you have a
different product class name, please use the --object-list-class param and provide the listing class name
that should be used.
Invalidate either the preparation queue or the index-update queue. This is usually only needed during development when
the store table is out of sync. Reset the preparation queue for instance when your product model
returns updated data for a field.
php bin/console ecommerce:indexservice:reset-queue preparation --tenant=MyTenant
php bin/console ecommerce:indexservice:reset-queue update-index --tenant=MyTenant
If you need to create or update the index structures you can still use:
php bin/console ecommerce:indexservice:bootstrap --create-or-update-index-structure
For further details see --help section of the commands.
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Data_Architecture_and_Indexing_Process#paralelization-of-indexing | Paralelization of Indexing
All indexing commands include the parallelization trait of webmozart.
Thus indexing can be parallelized very easily by adding the --processes=X option to the command.
Be aware that depending on the command too many parallel processes might cause deadlocks on database. | Paralelization of Indexing | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Configuration_Details#configuration-configuration | Configuration Configuration
Following aspects need to be considered in index configuration: | Configuration Configuration | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Configuration_Details#general-configuration-options | General Configuration Options
In the config_options area general elasticsearch settings can be made - like hosts, index settings, etc. | General Configuration Options | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Configuration_Details#client_config | client_config
logging: (deprecated, for Elasticsearch 7 only) true/false to activate logging of elasticsearch client
indexName: index name to be used, if not provided tenant name is used as index name
| client_config | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Configuration_Details#index_settings | index_settings
Index settings that are used when creating a new index. They are passed 1:1 as
settings param to the body of the create index command. Details see
also elasticsearch Docs. | index_settings | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Configuration_Details#es_client_name-(for-elasticsearch-8-only) | es_client_name (for Elasticsearch 8 only)
Elasticsearch 8 client configuration takes place via
Pimcore Elasticsearch Client Bundle and has two parts.
Configuring an elasticsearch client in separate configuration
# Configure an elasticsearch client
pimcore_elasticsearch_client:
es_clients:
default:
hosts: ['elastic:9200']
username: 'elastic'
password: 'somethingsecret'
logger_channel: 'pimcore.elasticsearch'
Define the client name to be used by an elasticsearch tenant. This will be done via the es_client_name configuration
in the config_options.
| es_client_name (for Elasticsearch 8 only) | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Configuration_Details#synonym_providers | synonym_providers
Specify synonym providers for synonym filters defined in filter section of index settings.
For details see Synonyms. | synonym_providers | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Configuration_Details#sample-config | Sample Config
pimcore_ecommerce_framework:
index_service:
tenants:
MyEsTenant:
worker_id: Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Worker\ElasticSearch\DefaultElasticSearch8
config_id: Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Config\ElasticSearch
config_options:
client_config:
logging: false
indexName: 'ecommerce-demo-elasticsearch'
# elasticsearch client name, for Elasticsearch 8 only
es_client_name: default
index_settings:
number_of_shards: 5
number_of_replicas: 0
max_ngram_diff: 30
analysis:
analyzer:
my_ngram_analyzer:
tokenizer: my_ngram_tokenizer
allow_list_analyzer:
tokenizer: standard
filter:
- allow_list_filter
tokenizer:
my_ngram_tokenizer:
type: ngram
min_gram: 2
max_gram: 15
token_chars: [letter, digit]
filter:
allow_list_filter:
type: keep
keep_words:
- was
- WAS
| Sample Config | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Configuration_Details#data-types-for-attributes | Data Types for attributes
The type of the data attributes needs to be set to elasticsearch data types..
pimcore_ecommerce_framework:
index_service:
tenants:
MyEsTenant:
attributes:
name:
locale: '%%locale%%'
type: keyword
In addition to the type configuration, you also can provide custom mappings for a field. If provided, these mapping
configurations are used for creating the mapping of the elasticsearch index.
You can also skip the type and mapping, then ES will try to create dynamic mapping.
pimcore_ecommerce_framework:
index_service:
tenants:
MyEsTenant:
attributes:
name:
locale: '%%locale%%'
type: text
options:
mapping:
type: text
store: true
index: not_analyzed
fields:
analyzed:
type: text
analyzer: german
analyzed_ngram:
type: text
analyzer: my_ngram_analyzer
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Synonyms#synonyms | Synonyms
With elasticsearch so called synonym filters can be configured to further optimize search behavior.
For details see Synonym Token Filter and following pages
at elasticsearch documentation.
Pimcore provides an out-of-the box integration to provide synonyms for the synonym filters of elasticsearch. | Synonyms | [
-0.07474331557750702,
-0.2629656195640564,
-0.2952900230884552,
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Synonyms#synonym-providers | Synonym Providers
Synonym providers are symfony services that implement the SynonymProviderInterface, load synonyms
from a specific source and provide it for using them in elasticsearch synonym filters.
Sources can be simple files, Pimcore assets, Pimcore data objects, database tables or what ever source is
needed.
Pimcore ships with a simple FileSynonymProvider that can be used right away. The synonym source is a file
(e.g. a Pimcore asset) that follows the Solr file format.
Besides the service configuration itself, the synonym providers need to be configured in index service
configuration as follows.
pimcore_ecommerce_framework:
index_service:
tenants:
<YOUR_ELASTIC_SEARCH_TENANT>:
enabled: true
worker_id: Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Worker\ElasticSearch\DefaultElasticSearch8
config_id: Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Config\ElasticSearch
config_options:
synonym_providers:
app_synonym_filter:
# service ID of synonym provider to use
provider_id: Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\SynonymProvider\FileSynonymProvider
# additional options for synonym provider (are applied to a child-service instance of given synonym provider
options:
synonymFile: '%kernel.project_dir%/public/var/assets/system/synonyms.txt'
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Synonyms#matching-synonym-providers-to-synonym-filters | Matching Synonym Providers to Synonym Filters
Matching between synonym providers and synonym filters in index settings takes place via name. In the sample below
there the synonym provider app_synonym_filter provides the synonyms for the filter app_synonym_filter.
The filter definition in the index settings can hold just an empty array (as some definition is required). During
index building, index resetting or reloading of synonyms, the synonyms are loaded from synonyms provider and injected
to the synonyms array of the corresponding synonyms filter.
pimcore_ecommerce_framework:
index_service:
tenants:
<YOUR_ELASTIC_SEARCH_TENANT>:
enabled: true
worker_id: Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Worker\ElasticSearch\DefaultElasticSearch8
config_id: Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Config\ElasticSearch
config_options:
synonym_providers:
app_synonym_filter:
# service ID of synonym provider to use
provider_id: Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\SynonymProvider\FileSynonymProvider
# additional options for synonym provider (are applied to a child-service instance of given synonym provider
options:
synonymFile: '%kernel.project_dir%/public/var/assets/system/synonyms.txt'
index_settings:
analysis:
filter:
app_synonym_filter: # mapping between synonym_provider and filter based on name
type: synonym # or synonym_graph or any other ES type
synonyms: [] # provide an empy array here, for ES6 [], for ES5[""]
Don't forget to also add the synonyms filter to an analysers filter array where needed - as described in elasticsearch docs.
| Matching Synonym Providers to Synonym Filters | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Synonyms#updating-synonyms | Updating Synonyms
There are three ways of updating the synonyms in the elasticsearch index. For all applies that the synonyms are loaded
from synonyms provider and injected to the synonyms array of the corresponding synonyms filter by Pimcore. | Updating Synonyms | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Synonyms#index-creation | Index Creation
During index creation the synonyms are loaded from synonym providers and applied to index. | Index Creation | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Synonyms#reindex | Reindex
During reindex the synonyms are loaded from synonym providers and applied to index when new index is created.
This is the recommended way to update synonyms during runtime at a production system as there is no service downtime.
| Reindex | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search/Synonyms#elasticsearch-sync-command | Elasticsearch sync command
With the command bin/console ecommerce:indexservice:elasticsearch-sync update-synonyms
synonyms can be updated in the current index. For that, the index has to be closed and reopened which means a short downtime
of the index. | Elasticsearch sync command | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search#special-aspects-for-elasticsearch | Special Aspects for Elasticsearch
Basically Elasticsearch worker works as described in the optimized architecture.
Currently, Elasticsearch 8 is supported. | Special Aspects for Elasticsearch | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search#installation | Installation | Installation | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search#elasticsearch-8 | Elasticsearch 8
To work properly Pimcore requires the Elasticsearch client, install them with: composer require pimcore/elasticsearch-client. | Elasticsearch 8 | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search#index-configuration | Index Configuration
Elasticsearch provides a couple of additional configuration options for the index to utilize elasticsearch features.
See Configuration Details for more information. | Index Configuration | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search#reindexing-mode | Reindexing Mode
It is possible that elasticsearch cannot update the mapping, e.g. if data types of attributes change on the fly.
For this case, a reindex is necessary. If it is necessary, a native ES reindex is executed automatically during
bin/console ecommerce:indexservice:bootstrap --create-or-update-index-structure.
While reindex is executed, no updates are written to the ES index. The changes remain in store table and are transferred
to index during next execution of bin/console ecommerce:indexservice:process-update-queue after reindex is finished.
All queries that take place during reindex go to the old index. As soon the reindex is finished, the current index is switched
to the newly created index and the old index is deleted.
As a result, during reindex the results delivered by Product Lists can contain old data.
To manually start a reindex, following command can be used: bin/console ecommerce:indexservice:elasticsearch-sync reindex. | Reindexing Mode | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search#indexing-of-classification-store-attributes | Indexing of Classification Store Attributes
With elasticsearch it is possible to index all attributes of Classification Store
data without defining an attribute for each single classification store key.
For details see Filter Classification Store
in Filter Service documentation. | Indexing of Classification Store Attributes | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Elastic_Search#synonyms | Synonyms
Pimcore provides an out-of-the box integration for synonyms in elasticsearch.
See Synonyms for details. | Synonyms | [
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https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration/Findologic#special-aspects-for-findologic-exporter | Special Aspects for Findologic Exporter
Basically findologic worker works as described in the optimized architecture. But there is an additional
speciality with the export:
Executing php bin/console ecommerce:indexservice:process-update-queue does not write the data directly to
Findologic, but into an extra table
\Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Worker\DefaultFindologic::EXPORT_TABLE_NAME
(default is ecommerceframework_productindex_export_findologic).
Findologic then can use the endpoint /ecommerceframework/findologic-export, which delivers all data directly based on
the export table. Valid parameters for this endpoint are:
start: Pagination start.
count: Count of delivered entries.
shopKey: Shop key to identify the shop.
id: Filter for Product-ID
type: Filter for type
| Special Aspects for Findologic Exporter | [
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] |
https://pimcore.com/docs/platform//Ecommerce_Framework/Index_Service/Product_Index_Configuration#product-index-configuration | Product Index Configuration
The configuration of the Product Index defines the content of the Product Index (which attributes are extracted how
and stored where) and takes place in the pimcore_ecommerce_framework configuration within the section index_service.
The product index can define multiple tenants (see Assortment Tenant Configuration)
which can be configured individually. Each tenant defines a set of attributes to index/search and a configuration and worker
class responsible for storing and managing the index.
pimcore_ecommerce_framework:
index_service:
# product index defines multiple tenants which can be disabled individually
# a tenant can define placeholders which will be replaced
tenants:
_defaults:
attributes:
name:
type: varchar(255)
filter_group: string
locale: '%%locale%%'
default:
enabled: false
# service ID of the desired configuration
config_id: Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Config\DefaultMysql
# optional set of options passed to the config service - available options vary by config
# implementation
config_options:
foo: bar
# optional - id of the worker handling the index. worker and config must be matching as a worker
# is only able to accept a certain config implementation (e.g. an elasticsearch worker can only operate
# on an elasticsearch config). as long as you don't implement a custom worker you can omit the wotker_id
# as the system is able to automatically resolve the worker for a given config
worker_id: Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Worker\DefaultMysql
# placeholders will be replaced with the value defined here
# you can use placeholders to define multiple tenant configuration
# via _defaults which set the locale based on a placeholder
#
# in this example, the "default" tenant will have the attributes name
# and seoname and use "de_AT" as locale for the "name" attribute
#
# please make sure to use double %% or another char as {} to denote placeholders
# as "%locale%" would be replaced by the "%locale%" container parameter instead
# of the placeholder
placeholders:
'%%locale%%': de_AT
# add columns for general fulltext search index of productlist
# they must be part of the attributes configuration below
search_attributes:
- name
- seoname
# defines search index attributes and how they're gathered
# as the _defaults entry already defines a name attribute, we'll end
# up with name and seoname here
attributes:
seoname:
type: varchar(255)
filter_group: string
INT:
attributes:
name_en: &name_en
locale: '%%locale%%'
filter_group: string
placeholders:
'%%locale%%': en
BE:
attributes:
name_fr:
<<: *name_en
# placeholders will be replaced with the value defined here
# attribute level placeholders will be processed before tenant level placeholders
#
# in this example, the "BE" (belgium) tenant will have the attributes "name_fr", "name_de"
# and "name_nl" referencing the same attribute config as tenant "INT" (international)
# with attribute "name_en", but using use "fr", "de" and "nl" as locale
placeholders:
'%%locale%%': fr
name_de:
<<: *name_en
placeholders:
'%%locale%%': de
name_nl:
<<: *name_en
placeholders:
'%%locale%%': nl
example_tenant:
attributes:
rucksacksLoad:
type: 'double'
filter_group: double
# a getter is a specific service responsible for getting the value from an object
# this must be defined as service - as we use the class name as service id you can
# just use the fully qualified class name. you can use your own getters if you define
# them as service first
getter_id: Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Getter\DefaultBrickGetter
# options passed to the getter. available options vary by getter implementation - see
# getter for available options
getter_options:
brickfield: specificAttributes
bricktype: rucksackSpecs
fieldname: load
# an interpreter can further transform the value retrieved by the getter. same logic applies as
# for getters - interpreter must be defined as service
interpreter_id: Pimcore\Bundle\EcommerceFrameworkBundle\IndexService\Interpreter\Numeric
# interpreter can define options which are passed to the interpreter when interpreting the value
interpreter_options: {}
| Product Index Configuration | [
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