Open Source Search: An Analysis
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Open Source Search: An Analysis



Slides from my talk at PHP Conference 2012, giving a brief overview of four key players in the Open Source Search market

Slides from my talk at PHP Conference 2012, giving a brief overview of four key players in the Open Source Search market



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    Open Source Search: An Analysis Open Source Search: An Analysis Presentation Transcript

    • An analysis and comparison from a developer’s perspective
    •  Report Buyer product catalogue: • Text fields: title, subtitle, summary, toc • Product code and ISBN • Supplier, category, type and availability • Publication date and price
    • Enterprise class search engineScalable and based on Apache LuceneREST-ful API or PECL extensionFast, transactional full-text indexingFaceted and geospatial searchRich document indexingComes with simple web interfaceBuilt-in caching of queries and responsesNumerous plug-ins
    •  Available as system packages Uses Tomcat or Jetty Requires a restart on configuration change Packages install as a service
    •  Specify database location Memory settings Query caching options Request handler setup Search components and plug-ins Spell checker configuration
    • <!-- Report Buyer fields --><field name="item_guid" type="string" indexed="true" stored="true" required="true" /><field name="name" type="text" indexed="true" stored="true" required="true" boost="75" omitNorms="false" /><field name="subtitle" type="text" indexed="true" stored="true" required="false" boost="25" omitNorms="false" /><field name="summary" type="text" indexed="true" stored="false" boost="1" omitNorms="false" /><field name="toc" type="text" indexed="true" stored="false" boost="1" omitNorms="false" /><field name="isbn" type="string" indexed="true" stored="false" boost="200" omitNorms="false" /><field name="product_code" type="string" indexed="true" stored="true" boost="200" omitNorms="false" /><field name="publish_date" type="tdate" indexed="true" stored="true" /><field name="price" type="tfloat" indexed="true" stored="true" /><field name="availability" type="boolean" indexed="true" stored="true" /><field name="link" type="string" indexed="false" stored="true" /><field name="text" type="text" indexed="true" stored="false" multiValued="true"/><copyField source="name" dest="text"/><copyField source="subtitle" dest="text"/><copyField source="summary" dest="text"/><copyField source="toc" dest="text"/><uniqueKey>item_guid</uniqueKey><defaultSearchField>text</defaultSearchField>
    •  Data Import Handler REST-ful API PHP PECL Extension Third-party libraries, like Solarium
    • <?php$solr_options = array(secure => false, hostname => localhost, port => 8080);$solr = new SolrClient($solr_options);$doc = new SolrInputDocument();while ($row = mysql_fetch_array($result, MYSQL_ASSOC)){ $doc = new SolrInputDocument(); $row[publish_date] = strftime(%Y-%m-%dT00:00:01Z, strtotime($row[publish_date])); foreach ($row as $key => $value) { $doc->addField($key, $value); } $updateResponse = $solr->addDocument($doc); $response = $updateResponse->getResponse(); if ($response->responseHeader->status != 0) { print "Error importing into Solr: ";print_r($response); }}$solr->commit();?>
    • POST to http://localhost:8080/solr/update?commit=true<add> <doc> <field name="item_guid">a34bbff9e17ada79658c72fde90c7369</field> <field name="name">Research Report on Chinas Corn Industry</field> <field name="price">1265</field> etc </doc></add>
    • $solr_options = array(secure => false, hostname => localhost, port => 8080);$solr = new SolrClient($solr_options);$query = new SolrQuery();$query->setQuery("research in china");$query->setFacet(true);$query->addFacetField(availability);$query->addField(item_guid)->addField(name)->addField(publish_date)->addField(subtitle)-> addField(product_code)->addField(availability)->addField(price);$query->addSortField(publish_date, SolrQuery::ORDER_DESC);$query_response = $solr->query($query);$response = $query_response->getResponse();print "Found ".$response->response->numFound." results, for {$query_string} in ".$response- >responseHeader->QTime." ms:nn";foreach ($response->response->docs as $position=>$doc_data) { $download = ($doc_data[availability] == 1) ? Yes : No; print "{$position} - Date:{$pub_date} - {$doc_data[product_code]} - D/L:{$download} £".sprintf("%5d", $doc_data[price])." - {$doc_data[name]}n";}print "Facets for instant ".$response->facet_counts->facet_fields->availability->false;
    • http://localhost:8080/solr/select/?q=research%20%in%20china&indent=on&hl=true&hl.fl=item_guid,name, publish_date,subtitle,product_code,availability,price&facet=true&facet.field=availability&wt=json{ "responseHeader":{ "status":0, "QTime":20, "params":{ "facet":"true", "indent":"on", "q":"research u0000 china", "hl.fl":"item_guid,name,publish_date,subtitle,product_code,availability,price", "facet.field":"availability", "wt":"json", "hl":"true"}}, "response":{"numFound":197481,"start":0,"docs":[ { "item_guid":"e68cf64921a02e926137d78d2c52da35", "name":"Market Research Report on China Civil Aero Industry", "product_code":"SFC00076", "price":190.0, "availability":false, "type":10, "link": "/industry_manufacturing/plant_heavy_equipment/market_research_report_china_civil_aero_industry. html", "publish_date":"2008-07-22T00:00:01Z" }}
    •  More features than other products Responsive, busy mailing list Large team of developers Good PHP libraries for integration Several books available Fairly heavy footprint
    •  Also built on Apache Lucene JSON-based Distributed, scalable server model Easy to configure, or configuration free Faceting and highlight support Auto type detection Multiple indexes CouchDB integration
    •  Download and unpack zip file Run elasticsearch/bin/elasticsearch
    •  No schema is required - almost No configuration is required - almost
    • GET http://localhost:9200/ HTTP/1.0{ "ok" : true, "name" : "Test", "version" : { "number" : "0.18.7", "snapshot_build" : false }, "tagline" : "You Know, for Search", "cover" : "DONT PANIC", "quote" : { "book" : "The Hitchhikers Guide to the Galaxy", "chapter" : "Chapter 27", "text1" : ""Forty-two," said Deep Thought, with infinite majesty and calm.", "text2" : ""The Answer to the Great Question, of Life, the Universe and Everything"" } }
    • curl -XPUT http://localhost:9200/reports/ -d { "index:" { "analysis": { "analyzer": { "my_analyzer": { "tokenizer": "standard", "filter": ["standard", "lowercase", "my_stemmer"] } }, "filter": { "my_stemmer": { "type": "stemmer", "name": "english" } } } }}
    • <?phprequire_once("ElasticSearch.php");$es = new ElasticSearch;$es->index = reports;$type = report;$mappings = array($type => array(properties => array( _id => array(type => string, path => item_guid), item_guid => array(type => string, store => yes, index => not_analyzed), name => array(type => string, store => no, boost => 75), subtitle => array(type => string, store => yes, boost => 25), summary => array(type => string, store => yes, boost => 10), toc => array(type => string, store => no), product_code => array(type => string, store => yes, boost => 200, index => not_analyzed), isbn => array(type => string, store => yes, boost => 200, index => not_analyzed),)));$json = json_encode($mappings);$es->map($type, $json);?>
    • <?phprequire_once("ElasticSearch.php");$es = new ElasticSearch;$es->index = reports;$type = report;$sql = "SELECT `item_guid`, `name`, `subtitle`, `summary`, `toc`, `supplier`, `product_code`, `isbn`, `category`, `price`, `availibility` as `availability`, `type`, `link`, `publish_date` FROM `rb_search`";$result = read_query($sql);while ($row = mysql_fetch_array($result, MYSQL_ASSOC)){ $es->add($type, $row[item_guid], json_encode($row));}?>
    • GET http://localhost:9200/reports/report/_count/{"count":260349,"_shards":{"total":1,"successful":1,"failed":0}}
    • <?phprequire_once("ElasticSearch.php");$es = new ElasticSearch;$es->index = reports;$type = report;$query = array( fields => array(item_guid, name, subtitle), query => array( term => array(name => research), ), facets => array( availability => array( terms => array(field => availability) ) ));$result = $es->query($type, json_encode($query));?>
    •  Nicholas Ruflins elastica Raymond Julins elasticsearch Niranjan Uma Shankars elasticsearch-php
    •  Very fast indexing Auto-scaling architecture Elegant REST approach Flexible zero configuration model Poor documentation No feature list, conceptual model or introduction All data is stored, meaning large indices
    •  Indexes MySQL, MSSQL, XML or ODBC Querying through Sphinx PHP API Searching through SQL queries or API Scalable to index 6TB of data in 16bn documents and 2000 queries/sec Used by Craigslist, Boardreader Runs as a storage engine in MySQL
    •  Install from system packages or source Source tarball is needed to get PHP SphinxAPI No other software needed Runs as a service in Ubuntu
    •  Plain index - fast search, slow update Real-time index - fast update, less efficient Distributed - combination of both methods
    • index rb_test{ # index type type = rt path = /mnt/data_indexed/sphinx/rb_test # define the fields were indexing rt_field = name rt_field = subtitle rt_field = summary rt_field = toc #define the fields we want to get back out rt_attr_string = item_guid rt_attr_string = supplier rt_attr_string = product_code rt_attr_string = isbn rt_attr_string = category rt_attr_uint = price rt_attr_string = link rt_attr_timestamp = publish_date # morphology preprocessors to apply morphology = stem_en html_strip =1 html_index_attrs = img=alt,title; a=title; html_remove_elements = style, script}
    • <?phprequire_once("");$sql = "SELECT conv(mid(md5(`item_guid`), 1, 16), 16, 10) AS `id`, `item_guid`, `name`, `subtitle`, `summary`, `toc`, `supplier`, `product_code`, `isbn`, `category`, `price`, `availibility` as `availability`, `type`, `link`, UNIX_TIMESTAMP(`publish_date`) AS `publish_date` FROM `rb_search`";$result = read_query($sql);$sphinx = mysql_connect("", "", "", true);while ($row = mysql_fetch_array($result, MYSQL_ASSOC)) { foreach ($row as $key=>$value) { $row[$key] = mysql_escape_string($value); } $sql = "REPLACE INTO `rb_search` (`id`, `title`, `subtitle`,`availability`, `type`, `price`, `publish_date`, `item_guid`, `supplier`, `product_code`, `isbn`, `category`, `link`, `summary`, `toc`)VALUES ({$row[id]}, {$row[name]}, {$row[subtitle]}, {$row[availability]}, {$row[type]},{$row[price]}, {$row[publish_date]}, {$row[item_guid]}, {$row[supplier]}, {$row[product_code]}, {$row[isbn]}, {$row[category]}, {$row[link]},{$row[summary]}, {$row[toc]})"; mysql_query($sql, $sphinx);}?>
    • mysql --host= --port=9306Welcome to the MySQL monitor. Commands end with ; or g.Your MySQL connection id is 1Server version: 2.0.3-id64-release (r3043)mysql> select item_guid, title, subtitle, price from rb_search where match(china pharmaceutical) and price > 100 and price < 300 limit 2G************************** 1. row *************************** id: 5228810066049016302 weight: 6671 price: 220item_guid: cc74cb075aa37696198e87850f033398 title: North China Pharmaceutical Group Corp-Therapeutic Competitors Report subtitle:*************************** 2. row *************************** id: 3548867347418583847 weight: 6662 price: 190item_guid: 6ce04df0fb277aa3ff596c2ca00c81a9 title: China Pharmaceutical Industry Report subtitle: 2006-20072 rows in set (0.01 sec)
    •  Fastest indexing of all engines Really simple interface via SQL Document IDs must be unsigned integers No faceting support Good support in forums
    •  Deployed as a C++ library Bindings provided to connect to PHP Available in most package repositories Binding need to be compiled separately Query Parser, similar to other engines Stemming and faceted search Server replication
    •  Install from system packages Compile PHP bindings from source No other software needed Runs on demand
    •  No configuration required Define-and-go schema Documents Terms Values Document data
    • <?php$xapian_db = new XapianWritableDatabase($xapian, Xapian::DB_CREATE_OR_OVERWRITE);$xapian_term_generator = new XapianTermGenerator();$xapian_term_generator->set_stemmer(new XapianStem("english"));while ($row = mysql_fetch_array($result, MYSQL_ASSOC)) { $doc = new XapianDocument(); $xapian_term_generator->set_document($doc); foreach ($xapian_term_weights as $field => $weight) { $xapian_term_generator->index_text($row[$field], $weight); } $xapian_term_generator->index_text($row[name], 75, S:); $doc->add_boolean_term(CODE: . $row[product_code]); $doc->add_value($xapian_value_slots[price], Xapian::sortable_serialise($row[price])); $doc->add_value($xapian_value_slots[publish_date], strftime("%Y%m%d", strtotime($row[publish_date]))); // add in additional values that were going to use for facets $doc->add_value($xapian_value_slots[availability], $row[availability]); $doc->set_data(serialize($doc_data)); $docid = Q.$row[item_guid]; $xapian_db->replace_document($docid, $doc);}?>
    • <?php$xapian_db = new XapianDatabase($xapian);$query_parser = new XapianQueryParser();$query_parser->set_stemmer(new XapianStem("english"));$query_parser->set_default_op(XapianQuery::OP_AND);$dvrProcessor = new XapianDateValueRangeProcessor($xapian_value_slots[publish_date], date:);$query_parser->add_valuerangeprocessor($dvrProcessor);$query_parser->add_prefix("code", "CODE:");$query_parser->add_prefix("category", "CATEGORY:");$query_parser->add_prefix("title", "S:");$query = $query_parser->parse_query(“Medical devices” NEAR china NOT russian price:10..150 category:medical);$enquire = new XapianEnquire($xapian_db);$enquire->set_query($query);$matches = $enquire->get_mset($offset, $pagesize);while (!($start->equals($end))) { $doc = $start->get_document(); $price = Xapian::sortable_unserialise($doc->get_value($xapian_value_slots[price])); $start->next();}?>
    •  Only one option available from Xapian Requires additional compilation due to licensing Not very well documented API
    •  Reasonably fast indexing Very flexible implementation Faceting and range searching Good Quick Start guide Responsive mailing list Third-party paid support
    •  Every project has different needs Not one search product fits all Fastest to index was Sphinx Most feature-rich: Solr The next steps are up to you