Using Elastic with Magento

Transcription

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2 Using Elastic with Magento

3 Stefan Willkommer CTO and TechDivision GmbH

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7 Comparison License Apache License Apache License Index Lucene Lucene API RESTful Webservice RESTful Webservice Scheme no scheme schema.xml Clustering easy and out of the box SolrCloud

8 Comparison Per-doc/query analyzer chain Yes No Complex Documents Yes Flat doc structure. No native support for nesting docs Multiple document types per schema Yes One set of fields per schema Online schema changes Yes No, only workaround Advanced Faceting Yes No

9 Conclusion

10 Our Goal

11 Compatibility really easy to use and powerful search engine relieve MySQL using ES for catalog and layered navigation use of standard features like catalog price rules, banners and so on integrated on top of the Solr implementation extended with some custom features actuality of data

12 Features Auto-Complete prioritization alternatives Search-Suggest after search navigation fault tolerance synonyms

13 But only for Enterprise Edition

14 Get started with Elastic

15 Get started Download and extract Run bin/elasticsearch on Unix or bin/elasticsearch.bat on Windows Run curl -X GET

16 { "status" : 200, "name" : "Strongarm", "cluster_name" : "elasticsearch", "version" : { "number" : "1.6.0", "build_hash" : "cdd3ac4dde4f69524ec0a14de3828cb95bbb86d0", "build_timestamp" : " T13:36:34Z", "build_snapshot" : false, "lucene_version" : "4.10.4" }, "tagline" : "You Know, for Search" }

17 Let s put some data into the index

18 curl -X PUT { "book" : { "isbn":"1", "name":"picture of dorian gray", "author":{ "first_name":"oscar", "last_name":"wilde" }, "pages":"157", "tag":["philosophical", "novel"] } }

19 `mybookstore` is the index name curl -X PUT { "book" : { "isbn":"1", "name":"picture of dorian gray", "author":{ "first_name":"oscar", "last_name":"wilde" }, "pages":"157", "tag":["philosophical", "novel"] } }

20 `book` is the _type curl -X PUT { "book" : { "isbn":"1", "name":"picture of dorian gray", "author":{ "first_name":"oscar", "last_name":"wilde" }, "pages":"157", "tag":["philosophical", "novel"] } }

21 `1` is of course the id curl -X PUT { "book" : { "isbn":"1", "name":"picture of dorian gray", "author":{ "first_name":"oscar", "last_name":"wilde" }, "pages":"157", "tag":["philosophical", "novel"] } }

22 Searching the index

23 get all data indexed curl -XGET 'localhost:9200/mybookstore/_search' -d ' { "query" : { "match_all" : {} } }'

24 hitting the book by tag curl -X POST { took":15,"timed_out":false,"_shards": { total":5,"successful":5,"failed":0},"hits": {"total":1,"max_score": ,"hits":[{"_index":"mybookstore","_type":"book... "book" : { "isbn":"1", "name":"picture of dorian gray", "author":{ "first_name":"oscar", "last_name":"wilde" }, "pages":"157", "tag":["philosophical", "novel"] } }

25 a lot of possibilities curl -XPOST " -d' { "query": { "query_string": { "query": "dorian", "fields": ["name"] } } } Returns the book with the search word `dorian` in the field name

26 You see elastic is easy and powerful

27 great browser tools to administer Elastic

28 great browser tools to administer Elastic

29 Architectural Approach

30 Architecture ES uses the flat table index every change on product data will be triggered no rewriting, just using events extensible through own events Magento compliant

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32 Show the machine

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34 Show the frontend

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36 Extensibility

37 The suggest

38 The suggest class Namespace_ElasticSearch_Model_Suggest_Type_Brand extends TechDivision_ElasticSearch_Model_Suggest_Type_Abstract implements TechDivision_ElasticSearch_Interface_Suggest_Type { }

39 The suggest public function construct() { $this->_datahelper = Mage::helper('techdivision_elasticsearch'); $this->_confighelper = Mage::helper('techdivision_elasticsearch/config'); $this->_engine = Mage::getResourceModel('techdivision_elasticsearch/engine'); } /** * Generate and return suggestions for the given term. * string $term array */ public function suggest($term) { // implement your logic here to get results }

40 Examples

41 Customer Cases

42 Thank you Questions?