# Solr connector for SilverStripe fulltextsearch module ## Introduction The fulltextsearch module includes support for connecting to Solr. It works with Solr in multi-core mode. It needs to be able to update Solr configuration files, and has modes for doing this by direct file access (when Solr shares a server with SilverStripe) and by WebDAV (when it's on a different server). See the helpful [Solr Tutorial](http://lucene.apache.org/solr/4_5_1/tutorial.html), for more on cores and querying. ## Requirements Since Solr is Java based, it requires Java 1.5 or greater installed. When you're installing it yourself, it also requires a servlet container such as Tomcat, Jetty, or Resin. For development testing there is a standalone version that comes bundled with Jetty (see below). See the official [Solr installation docs](http://wiki.apache.org/solr/SolrInstall) for more information. Note that these requirements are for the Solr server environment, which doesn't have to be the same physical machine as the SilverStripe webhost. ## Installation (Local) #### Get the Solr server composer require silverstripe/fulltextsearch-localsolr 4.5.1.x-dev #### Start the server (via CLI, in a separate terminal window or background process) cd fulltextsearch-localsolr/server/ java -jar start.jar #### Configure the fulltextsearch Solr component to use the local server Configure Solr in file mode. The 'path' directory has to be writeable by the user the Solr search server is started with (see below). // File: mysite/_config.php: 'localhost', 'indexstore' => array( 'mode' => 'file', 'path' => BASE_PATH . '/.solr' ) )); Note: We recommend to put the `indexstore.path` directory outside of the webroot. If you place it inside of the webroot (as shown in the example), please ensure its contents are not accessible through the webserver. This can be achieved by server configuration, or (in most configurations) also by marking the folder as hidden via a "dot" prefix. #### Create an index // File: mysite/code/MyIndex.php: addClass('Page'); $this->addAllFulltextFields(); } } #### Initialize the configuration (via CLI) sake dev/tasks/Solr_Configure Based on the sample configuration above, this command will do the following: - Create a `/.solr/MyIndex` folder - Copy configuration files from `fulltextsearch/conf/extras/` to `/.solr/MyIndex/conf` - Generate a `schema.xml`, and place it it in `/.solr/MyIndex/conf` If you call the `Solr_configure` task with an existing index folder, it will overwrite all files from their default locations, regenerate the `schema.xml`, and ask Solr to reload the configuration. ## Usage After configuring Solr, you have the option to add your existing content to its indices. Run the following command: sake dev/tasks/Solr_Reindex This will delete and rebuild all indices. Depending on your data, this can take anywhere from minutes to hours. Keep in mind that the normal mode of updating indices is based on ORM manipulations of the underlying data. For example, calling `$myPage->write()` will automatically update the index entry for this record (and all its variants). This task has the following options: - `verbose`: Debug information Internally, depending on what job processing backend you have configured (such as queuedjobs) individual tasks for re-indexing groups of records may either be performed behind the scenes as crontasks, or via separate processes initiated by the current request. Internally groups of records are grouped into sizes of 200. You can configure this group sizing by using the `Solr_Reindex.recordsPerRequest` config. :::yaml Solr_Reindex: recordsPerRequest: 150 Note: The Solr indexes will be stored as binary files inside your SilverStripe project. You can also copy the `thirdparty/` solr directory somewhere else, just set the `path` value in `mysite/_config.php` to point to the new location. ### File-based configuration (solrconfig.xml etc) Many aspects of Solr are configured outside of the `schema.xml` file which SilverStripe generates based on the index PHP file. For example, stopwords are placed in their own `stopwords.txt` file, and spell checks are configured in `solrconfig.xml`. By default, these files are copied from the `fulltextsearch/conf/extras/` directory over to the new index location. In order to use your own files, copy these files into a location of your choosing (for example `mysite/data/solr/`), and tell Solr to use this folder with the `extraspath` configuration setting. // mysite/_config.php Solr::configure_server(array( // ... 'extraspath' => Director::baseFolder() . '/mysite/data/solr/', )); Please run the `Solr_configure` task for the changes to take effect. Note: You can also define those on an index-by-index basis by implementing `SolrIndex->getExtrasPath()`. ### Custom Types Solr supports custom field type definitions which are written to its XML schema. Many standard ones are already included in the default schema. As the XML file is generated dynamically, we can add our own types by overloading the template responsible for it: `types.ss`. In the following example, we read out type definitions from a new file `mysite/solr/templates/types.ss` instead: renderWith(Director::baseFolder() . '/mysite/solr/templates/types.ss'); } } ### Spell Checking ("Did you mean...") Solr has various spell checking strategies (see the ["SpellCheckComponent" docs](http://wiki.apache.org/solr/SpellCheckComponent)), all of which are configured through `solrconfig.xml`. In the default config which is copied into your index, spell checking data is collected from all fulltext fields (everything you added through `SolrIndex->addFulltextField()`). The values of these fields are collected in a special `_text` field. $index = new MyIndex(); $query = new SearchQuery(); $query->search('My Term'); $params = array('spellcheck' => 'true', 'spellcheck.collate' => 'true'); $results = $index->search($query, -1, -1, $params); $results->spellcheck The built-in `_text` data is better than nothing, but also has some problems: Its heavily processed, for example by stemming filters which butcher words. So misspelling "Govnernance" will suggest "govern" rather than "Governance". This can be fixed by aggregating spell checking data in a separate addCopyField('SiteTree_Title', 'spellcheckData'); $this->addCopyField('DMSDocument_Title', 'spellcheckData'); $this->addCopyField('SiteTree_Content', 'spellcheckData'); $this->addCopyField('DMSDocument_Content', 'spellcheckData'); } // ... function getFieldDefinitions() { $xml = parent::getFieldDefinitions(); $xml .= "\n\n\t\t"; $xml .= "\n\t\t"; return $xml; } } Now you need to tell solr to use our new field for gathering spelling data. In order to customize the spell checking configuration, create your own `solrconfig.xml` (see "File-based configuration"). In there, change the following directive: spellcheckData classes = array(array('class' => 'Page', 'includeSubclasses' => true)); $query->search('someterms', array('SiteTree_Title', 'SiteTree_Content')); $result = singleton('SolrSearchIndex')->search($query, -1, -1); // the request to Solr would be: // q=(SiteTree_Title:Lorem+OR+SiteTree_Content:Lorem) ### Configuring boosts There are several ways in which you can configure boosting on search fields or terms. #### Boosting on search query Solr has a way of specifying which fields should be boosted as a parameter to `SearchQuery`. This means if you boost a certain field, search query matches on that field will be considered higher relevance than other fields with matches, and therefore those results will be closer to the top of the results. In this example, we enter "Lorem" as the search term, and boost the `Content` field: $query = new SearchQuery(); $query->classes = array(array('class' => 'Page', 'includeSubclasses' => true)); $query->search('Lorem', null, array('SiteTree_Content' => 2)); $result = singleton('SolrSearchIndex')->search($query, -1, -1); // the request to Solr would be: // q=SiteTree_Content:Lorem^2 More information on [relevancy on the Solr wiki](http://wiki.apache.org/solr/SolrRelevancyFAQ). ### Boosting on index fields Boost values for specific can also be specified directly on the `SolrIndex` class directly. The following methods can be used to set one or more boosted fields: * `SolrIndex::addBoostedField` Adds a field with a specific boosted value (defaults to 2) * `SolrIndex::setFieldBoosting` If a field has already been added to an index, the boosting value can be customised, changed, or reset for a single field. * `SolrIndex::addFulltextField` A boost can be set for a field using the `$extraOptions` parameter with the key `boost` assigned to the desired value. For example: :::php class SolrSearchIndex extends SolrIndex { public function init() { $this->addClass('SiteTree'); $this->addAllFulltextFields(); $this->addFilterField('ShowInSearch'); this->addBoostedField('Title', null, array(), 1.5); this->setFieldBoosting('SiteTree_SearchBoost', 2); } } ### Custom Types Solr supports custom field type definitions which are written to its XML schema. Many standard ones are already included in the default schema. As the XML file is generated dynamically, we can add our own types by overloading the template responsible for it: `types.ss`. In the following example, we read out type definitions from a new file `mysite/solr/templates/types.ss` instead: addClass('Page'); $this->addAllFulltextFields(); $this->addStoredField('Content'); } } To search with highlighting enabled, you need to pass in a custom query parameter. There's a lot more parameters to tweak results on the [Solr Wiki](http://wiki.apache.org/solr/HighlightingParameters). $index = new MyIndex(); $query = new SearchQuery(); $query->search('My Term'); $results = $index->search($query, -1, -1, array('hl' => 'true')); Each result will automatically contain an "Excerpt" property which you can use in your own results template. The searched term is highlighted with an `` tag by default. Note: It is recommended to strip out all HTML tags and convert entities on the indexed content, to avoid matching HTML attributes, and cluttering highlighted content with unparsed HTML. ### Adding Analyzers, Tokenizers and Token Filters When a document is indexed, its individual fields are subject to the analyzing and tokenizing filters that can transform and normalize the data in the fields. For example — removing blank spaces, removing html code, stemming, removing a particular character and replacing it with another (see [Solr Wiki](http://wiki.apache.org/solr/AnalyzersTokenizersTokenFilters)). Example: Replace synonyms on indexing (e.g. "i-pad" with "iPad") addClass('Page'); $this->addField('Content'); $this->addAnalyzer('Content', 'filter', array('class' => 'solr.SynonymFilterFactory')); } } // Generates the following XML schema definition: // // // ### Text Extraction Solr provides built-in text extraction capabilities for PDF and Office documents, and numerous other formats, through the `ExtractingRequestHandler` API (see http://wiki.apache.org/solr/ExtractingRequestHandler). If you're using a default Solr installation, it's most likely already bundled and set up. But if you plan on running the Solr server integrated into this module, you'll need to download the libraries and link the first. wget http://archive.apache.org/dist/lucene/solr/3.1.0/apache-solr-3.1.0.tgz mkdir tmp tar -xvzf apache-solr-3.1.0.tgz mkdir .solr/PageSolrIndexboot/dist mkdir .solr/PageSolrIndexboot/contrib cp apache-solr-3.1.0/dist/apache-solr-cell-3.1.0.jar .solr/PageSolrIndexboot/dist/ cp -R apache-solr-3.1.0/contrib/extraction .solr/PageSolrIndexboot/contrib/ rm -rf apache-solr-3.1.0 apache-solr-3.1.0.tgz Create a custom `solrconfig.xml` (see "File-based configuration"). Add the following XML configuration. Now apply the configuration: sake dev/tasks/Solr_configure Now you can use Solr text extraction either directly through the HTTP API, or indirectly through the ["textextraction" module](https://github.com/silverstripe-labs/silverstripe-textextraction). ## Debugging ### Using the web admin interface You can visit `http://localhost:8983/solr`, which will show you a list to the admin interfaces of all available indices. There you can search the contents of the index via the native SOLR web interface. It is possible to manually replicate the data automatically sent to Solr when saving/publishing in SilverStripe, which is useful when debugging front-end queries, see `thirdparty/fulltextsearch/server/silverstripe-solr-test.xml`. java -Durl=http://localhost:8983/solr/MyIndex/update/ -Dtype=text/xml -jar post.jar silverstripe-solr-test.xml ## FAQ ### How do I use date ranges where dates might not be defined? The Solr index updater only includes dates with values, so the field might not exist in all your index entries. A simple bounded range query (`:[* TO ]`) will fail in this case. In order to query the field, reverse the search conditions and exclude the ranges you don't want: // Wrong: Filter will ignore all empty field values $myQuery->filter(, new SearchQuery_Range('*', )); // Better: Exclude the opposite range $myQuery->exclude(, new SearchQuery_Range(, '*'));