This document describes different options to get auto suggestions in the search box in the storefront. It describes the necessary steps to configure and create the specific search indexes and gives technical background on how the suggestions are retrieved.The index types are implemented within the Solr Search Adapter Cartridge.
The available search index services that provide the different search index types are managed services. You can enable the services for the organization in the Intershop Organization Management.
To use the enabled search service, it is necessary to create an appropriate service configuration in the context of the organization, a channel or an application respectively. The required location of the service depends mainly on the location of the business objects you want to build the search indexes for. For example: If products are edited in the channel, the search service configuration should be located in the channel. For content that is application-specific, the search service configuration must be located in the application.
Several search index services for the generation of suggestions to the user are available. These services behave differently.
The standard product search index type already includes suggest functionality based upon data that is indexed into this index. The current index is selected by the current request locale and its online flag. The index configuration is also checked if there are any attributes in the configuration that are marked with a custom value
AutoSuggest and the value
... <attribute> <custom-values> <custom-value name="AutoSuggest" type="string"> <value>true</value> </custom-value> </custom-values> <name>ManufacturerName</name> <dataProviderName>ProductPO</dataProviderName> <description>The manufacturer name</description> ... </attribute>
The search index attributes that are used for suggest are manageable in the Commerce Management at the Tab Auto Suggest.
All the data from the index attributes that are marked for Auto Suggest are copied during the indexing into a
hidden _suggest field in the index. The suggest creates a query for the content of the
_suggest field, prefixed by the letters that the user has typed.
If a provided suggest result is selected in the front end, a search is triggered with the suggested term. Therefore the index attributes that are used for auto suggest are typically a subset of the index attributes that are used for search.
The maximum count of suggestions is set with the parameter
maxAutoSuggestResults in the ISML-module
ISSearchBox. That parameter is set in the template
Header.isml (app_sf_responsive_cm) to a default value of 10.
SFProductSearchSuggest is an alternative implementation of auto suggest. It uses a separate index, but the data is retrieved from the
SFProductSearch product index.
The configuration for the type relies on custom value attributes either configured in the index itself or in the underlying product index.
The custom values in the suggest index at search index configuration level can configure custom values with the prefix
SuggestType_ followed by a type.
The values are attribute names of the underlying product index. Available types are
content. If an attribute is marked as auto suggest and the type cannot be determined, it is set to
<searchIndexConfiguration> ... <custom-values> <custom-value name="SuggestType_category" type="string"> <value>CategoryNameLevel0</value> <value>CategoryNameLevel1</value> </custom-value> <custom-value name="SuggestType_product" type="string"> <value>name</value> </custom-value> </custom-values> </searchIndexConfiguration>
You can also configure the type custom values in the suggested index custom attribute
SuggestType. The value is an available suggest type (see above).
... <attribute> <custom-values> <custom-value name="SuggestType" type="string"> <value>brand</value> </custom-value> <name>ManufacturerName</name> ... </attribute> ...
The following tables illustrate the content of the participating indexes:
Product Index Data: Each Row represents a product.
Category Display Name
The suggest index build processes the configured index attributes for the suggest types, reads the data from the product index and writes the results into the suggest index.
Product Suggest Index Data: Each Row represents a potential suggestion.
Category Display Name
Category Display Name
The suggest query uses a wildcard search on the
QueryTerm index attribute.
If an index of type
SFProductSearchSuggest is online for the current request locale, it precedes the suggest from
The Index Type is also an index of data that is collected from other indexes. In addition to the
SFProductSearchSuggest index, it can also collect data from
SFContentSearch index and it stores direct references to products, categories and content pages.
The configuration is controlled by specifying the index attributes of the underlying indexes (
SFContentSearch) as custom values at the
ISH-Config.xml of the
SFObjectSuggestSearch together with marking the attribute as auto suggest in the underlying index.
The custom values of the
ObjectSuggestType_<type> attribute determine the set of attributes that are collectible and the index configuration auto suggest will determine the collected attributes out of that configured set.
The suggest query uses a wildcard search in the
QueryTerm index attribute prefixed with the user entered terms. In addition, it groups the result by the
Type index attribute to get results from each type. The result size per group is set to 5 by the Solr
group.limit parameter. The suggest result generates direct links to product, categories or content pages. For the suggest type
brand it generates a search with the suggested term.
If an index of type
SFObjectSuggestSearchis online for the current request locale, it precedes the suggest from
The category suggestions are generated from the values that are indexed in the
CategoryNameLevel<X> index attributes. The category reference is derived from the content of the
CategoryUUIDLevelMulti index attribute. The values of the
CategoryNameLevel<X> index attributes are the category display names of the default category assignment of the product. So category suggestions are generated for the default categories that have products assigned.
The product suggestions that are indexed into the suggest index are collected from the
SFProductSearch index. The reference is based upon the value of the
SKU (the first value if it is a multiple value) or as a fallback of the
sku index attribute. The default configuration uses the
name index attribute to build suggestions based upon the product display names.
The content suggestions are collected from the
SFContentSearch index. The content references are generated from the index attribute
PageletEntryPointID and the query term values are taken from the
title (hard-coded) attribute. No configuration of the underlying content index is necessary.
The brand suggestions are collected from the
ManufacturerName index attribute of the
For search suggestions nothing is configured by default. To use existing index attributes as suggestions for search, you may add an additional attribute to the suggest index and select the data provider
ObjectSuggestType_<type> custom value has to be added by editing the configuration file where the custom values list the index attributes of the product index that you want to use as search suggestions. The storefront template (app_sf_responsive:inc/search/SuggestResult.isml) that renders the suggest search result currently does not display suggestions of type search. A search section needs to be added to the template to render results for the search suggestions.
The suggest collector data provider only supports single-valued index attributes.
No additional index builds
Prefix and infix results
Additional type categorization
Prefix and infix results
Direct links to products, categories and content
Content index suggestions included
Restricted to provide search term suggestions
Only prefix and lowercase matches
Dependent to other index builds
Manual configuration necessary
A limited hard-coded set of supported attributes
Dependency to other indexes
Slower indexing time
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