using elasticsearch as a fast, flexible, and scalable solution to search occurrence records and...
DESCRIPTION
TDWG 2013 talk on ElasticSearch by Canadensys and GBIF France.TRANSCRIPT
Using ElasticSearch as a fast, flexible, and scalable solution to search occurrence records and checklists
Christian Gendreau, Canadensys Marie-Elise Lecoq, GBIF France
Introduction
ElasticSearch is an open source, document oriented, distributed search engine, built on top of Apache Lucene.
From ElasticSearch GitHub page
Setup
• Java 6 or higher • Download : # wget …elasticsearch-0.90.5.zip • Unzip
Configuration
• Name your cluster • Replication and multi-shard are enabled by default • Start : # bin/elasticsearch
Add data
Using the REST API
$ curl -XPUT 'http://localhost:9200/twitter/tweet/1' -d '{ "user" : "kimchy", "post_date" : "2009-11-15T14:12:12", "message" : "trying out Elastic Search" }'
Import data
Rivers • Document-based database (mongoDB) • JDBC (relational database) • Data source (wikipedia, Twitter)
Mapping
• Schema-less • Customize indexing • Customize querying
ElasticSearch at Canadensys
Database of Vascular Plants of Canada (VASCAN)
data.canadensys.net/vascan
Our ElasticSearch index Index structure for scientific names • autocompletion : edge_ngram filter
o “carex” -> “ca”,”car”,”care”,”carex” • genus first letter : pattern_replace filter
o “carex feta” -> “c. feta” • epithet : path_hierarchy tokenizer
o “carex feta” -> “feta”
ElasticSearch at GBIF France
Data stored in ElasticSearch are updated upon MongoDB changes.
The search engine requests elasticsearch using filters like taxon, date, place, dataset and geolocalisation. Statistic calculation using facets
ElasticSearch at GBIF France
ElasticSearch - Solr
• Solr and elasticsearch both tries to solve the same problem with no much differences
• Development setup and production deployment (replication / sharding) easier with elasticsearch
• By default, the elasticsearch is well configured for Lucene and customization remains easy.
Facets
• “Group by” in SQL • Mostly used for calculate statistics
• Example :
curl -XGET [...] "facets" : {
”dataset" : { "terms" : { "field" : ”dataset",
"order" : "term” …
API and libraries
REST API o interoperability between different programming languages o HTTP request
Java API
o more efficient than REST API due to the binary API use. o built in marshaling(data formatting on the network)
Query - RESTfull API
Example: $ curl localhost:9200/vascan/_search?pretty=1 -d
'{"query":{ "match":{ "name" :{ "query":"carex" } } } }’
Query - Java API
Code example: ... SearchRequestBuilder srb = client.prepareSearch(INDEX_NAME)
.setQuery(QueryBuilders .boolQuery() .should(QueryBuilders.matchQuery("vernacular_name",text))
.setTypes(VERNACULAR_TYPE); ...
Pitfalls
• Error reporting (index creation, river creation) • Results may be hard to predict using complex queries • Documentation
• With each mapping modification comes a free reindex from data
Future
• Scientific Name analyzer • Geospatial component
Thank you!