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For use with eZ Publish 5.4, go to the corresponding documentation page which covers the v1.0 version of the bundle compatible with eZ Publish 5.4. |
What is Solr Search Engine Bundle?
ezplatform-solr-search-engine as the package is called, aims to be a transparent drop in replacement for the SQL based "Legacy" search engine powering eZ Platform Search API by default. By enabling Solr and re-indexing your content, all your existing Search queries using SearchService, will be powered by Solr automatically. This allows you to scale up your eZ Platform installation and be able to continue development locally against SQL engine, and have a test infrastructure, Staging and Prod powered by Solr, thus removing considerable load from your database so it can focus on more important things, like publishing .
See Architecture page for further information on the architecture of eZ Platform.
How to set up Solr Search engine
Step 0: Enable Solr Bundle
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This step is not needed as of eZ Platform 15.09, however it is kept here for reference in case you have previously disabled the bundle. |
Check in composer.json if you have the
ezsystems/ezplatform-solr-search-engine
package, if not add/update composer dependencies:Code Block language bash title command line composer require --no-update ezsystems/ezplatform-solr-search-engine:~1.0 composer update
- Make sure EzPublishSolrSearchEngineBundle is activated with the following line in
app/AppKernel.php
file: newEzSystems\EzPlatformSolrSearchEngineBundle\EzSystemsEzPlatformSolrSearchEngineBundle()
Step 1: Configuring & Starting Solr
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Example here is for single core, look to Solr documentation for configuring Solr in other ways, also see the provided configuration for some examples. |
First download and extract Solr, we currently support Solr 4.10.4:
Secondly, copy configuration files needed for eZ Solr Search Engine bundle, here from the root of your project to the place you extracted Solr:
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# Make sure to change the /opt/solr/ path with where you have placed Solr cp -R vendor/ezsystems/ezplatform-solr-search-engine/lib/Resources/config/solr/* /opt/solr/example/solr/collection1/conf/ /opt/solr/bin/solr start -f |
Thirdly, Solr Bundle does not commit solr index changes directly on repository updates, leaving it up to you to tune this using solrconfig.xml
as best practice suggests, example config:
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<autoCommit> <!-- autoCommit is here left as-is like it is out of the box in Solr 4.10.4, this controls hard commits for durability/replication --> <maxTime>${solr.autoCommit.maxTime:15000}</maxTime> <openSearcher>false</openSearcher> </autoCommit> <autoSoftCommit> <!-- Soft commits controls mainly when changes becomes visible, by default we change value from -1 (disabled) to 100ms, to try to strike a balance between Solr performance and staleness of HttpCache generated by Solr queries --> <maxTime>${solr.autoSoftCommit.maxTime:100}</maxTime> </autoSoftCommit> |
Step 2: Configuring bundle
The Solr search engine bundle can be configured many ways, in the config further below it assumes you have parameters setup for solr dsn and search engine (however both are optional), example:
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search_engine: solr solr_dsn: 'http://localhost:8983/solr' |
On to configuring the bundle.
Single Core example (default)
Out of the box in eZ Platform the following is enabled for simple setup:
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ez_search_engine_solr: endpoints: endpoint0: dsn: %solr_dsn% core: collection1 connections: default: entry_endpoints: - endpoint0 mapping: default: endpoint0 |
Shared Core example
In the following example we have decided to separate one language as the installation contains several similar languages, and one very different language that should receive proper language analysis for proper stemming and sorting behavior by Solr:
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ez_search_engine_solr: endpoints: endpoint0: dsn: %solr_dsn% core: core0 endpoint1: dsn: %solr_dsn% core: core1 connections: default: entry_endpoints: - endpoint0 - endpoint1 mapping: translations: jpn-JP: endpoint1 # Other languages, for instance eng-US and other western languages are sharing core default: endpoint0 |
Multi Core example
If full language analysis features are preferred, then each language can be configured to separate cores.
Note: Please make sure to test this setup against single core setup, as it might perform worse than single core if your project uses a lot of language fallbacks per siteaccess, as queries will then be performed across several cores at once.
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ez_search_engine_solr: endpoints: endpoint0: dsn: %solr_dsn% core: core0 endpoint1: dsn: %solr_dsn% core: core1 endpoint2: dsn: %solr_dsn% core: core2 endpoint3: dsn: %solr_dsn% core: core3 endpoint4: dsn: %solr_dsn% core: core4 endpoint5: dsn: %solr_dsn% core: core5 endpoint6: dsn: %solr_dsn% core: core6 connections: default: entry_endpoints: - endpoint0 - endpoint1 - endpoint2 - endpoint3 - endpoint4 - endpoint5 - endpoint6 mapping: translations: - jpn-JP: endpoint1 - eng-US: endpoint2 - fre-FR: endpoint3 - ger-DE: endpoint4 - esp-ES: endpoint5 # Not really used, but specified here for fallback if more languages are suddenly added by content admins default: endpoint0 # Also use separate core for main languages (differs from content object to content object) # This is useful to reduce number of cores queried for always available language fallbacks main_translations: endpoint6 |
Step 3: Configuring repository with the specific search engine
The following is an example of configuring Solr Search Engine, where connection
name is same as in example above, and engine is set to solr
:
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ezpublish: repositories: default: storage: ~ search: engine: %search_engine% connection: default |
%search_engine%
is a parameter that is configured in app/config/parameters.yml
, and should be changed from its default value "legacy
" to "solr
" to activate Solr as the Search engine.
Step 4: Clear prod cache
While Symfony dev environment keeps track of changes to yml files, prod does not, so to make sure Symfony reads the new config we clear cache:
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php app/console --env=prod cache:clear |
Step 5: Run CLI indexing command
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Some exceptions might happen on indexing if you have not configured your setup correctly, here are the most common issues you may encounter:
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Last step is to execute initial indexation of data:
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php app/console --env=prod --siteaccess=<name> ezplatform:solr_create_index |
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Since v1.7.0 the ezplatform:solr_create_index
command is deprecated, use php app/console ezplatform:reindex
instead:
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php app/console --env=prod --siteaccess=<name> ezplatform:reindex |
Extending the Solr Search engine Bundle
Document Field Mappers
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As a developer you will often find the need to index some additional data in the search engine. The use cases for this are wide, for example the data could come from an external source (for example from recommendation system), or from an internal source.
The common use case for the latter is indexing data through the Location hierarchy, for example from the parent Location to the child Location, or in the opposite direction, indexing child data on the parent Location. The reason might be you want to find the content with fulltext search, or you want to simplify search for a complicated data model.
To do this effectively, you first need to understand how the data is indexed with Solr Search engine. Documents are indexed per translation, as Content blocks. In Solr, a block is a nested document structure. In our case, parent document represents Content, and Locations are indexed as child documents of the Content. To avoid duplication, full text data is indexed on the Content document only.
Knowing this, you have the option to index additional data on:
- all block documents (meaning Content and its Locations, all translations)
- all block documents per translation
- Content documents
- Content documents per translation
- Location documents
Indexing additional data is done by implementing a document field mapper and registering it at one of the five extension points described above. You can create the field mapper class anywhere inside your bundle, as long as when you register it as a service, the "class" parameter" in your services.yml
matches the correct path. We have three different field mappers. Each mapper implements two methods, by the same name, but accepting different arguments:
ContentFieldMapper
::accept(Content $content)
::mapFields(Content $content)
ContentTranslationFieldMapper
::accept(Content $content, $languageCode)
::mapFields(Content $content, $languageCode)
LocationFieldMapper
::accept(Location $content)
::mapFields(Location $content)
These can be used on the extension points by registering them with the container using service tags, as follows:
- all block documents
ContentFieldMapper
ezpublish.search.solr.document_field_mapper.block
- all block documents per translation
ContentTranslationFieldMapper
ezpublish.search.solr.field_mapper.block_translation
- Content documents
ContentFieldMapper
ezpublish.search.solr.document_field_mapper.content
- Content documents per translation
ContentTranslationFieldMapper
ezpublish.search.solr.field_mapper.content_translation
- Location documents
LocationFieldMapper
ezpublish.search.solr.field_mapper.location
The following example shows how to index data from the parent Location content, in order to make it available for full text search on the children content. A concrete use case could be indexing webinar data on the webinar events, which are children of the webinar. Field mapper could then look something like this:
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<?php namespace My\WebinarApp; use EzSystems\EzPlatformSolrSearchEngine\FieldMapper\ContentFieldMapper; use eZ\Publish\SPI\Persistence\Content\Handler as ContentHandler; use eZ\Publish\SPI\Persistence\Content\Location\Handler as LocationHandler; use eZ\Publish\SPI\Persistence\Content; use eZ\Publish\SPI\Search; class WebinarEventTitleFulltextFieldMapper extends ContentFieldMapper { /** * @var \eZ\Publish\SPI\Persistence\Content\Type\Handler */ protected $contentHandler; /** * @var \eZ\Publish\SPI\Persistence\Content\Location\Handler */ protected $locationHandler; /** * @param \eZ\Publish\SPI\Persistence\Content\Handler $contentHandler * @param \eZ\Publish\SPI\Persistence\Content\Location\Handler $locationHandler */ public function __construct( ContentHandler $contentHandler, LocationHandler $locationHandler ) { $this->contentHandler = $contentHandler; $this->locationHandler = $locationHandler; } public function accept(Content $content) { // ContentType with ID 42 is webinar event return $content->versionInfo->contentInfo->contentTypeId == 42; } public function mapFields(Content $content) { $mainLocationId = $content->versionInfo->contentInfo->mainLocationId; $location = $this->locationHandler->load($mainLocationId); $parentLocation = $this->locationHandler->load($location->parentId); $parentContentInfo = $this->contentHandler->loadContentInfo($parentLocation->contentId); return [ new Search\Field( 'fulltext', $parentContentInfo->name, new Search\FieldType\FullTextField() ), ]; } } |
Since we index full text data only on the Content document, you would register the service like this:
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my_webinar_app.webinar_event_title_fulltext_field_mapper: class: My\WebinarApp\WebinarEventTitleFulltextFieldMapper arguments: - '@ezpublish.spi.persistence.content_handler' - '@ezpublish.spi.persistence.location_handler' tags: - {name: ezpublish.search.solr.field_mapper.content} |
Providing feedback
After completing the installation you are now free to use your site as usual. If you get any exceptions for missing features, have feedback on performance, or want to discuss, join our community slack channel at https://ezcommunity.slack.com/messages/ezplatform-use/
In this topic:
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