[LDSP] Solr Usage

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In this slide, we introduce the mechanism of Solr used in Search Engine Back End API Solution for Fast Prototyping (LDSP). You will learn how to create a new core, update schema, query and sort in Solr.

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[LDSP] Solr Usage

  1. 1. Search Engine Back End API Solution for Fast Prototyping https://github.com/jimmylai/ search_engine_backend_template Solr Jimmy Lai r97922028 [at] ntu.edu.tw http://tw.linkedin.com/pub/jimmy-lai/27/4a/536 2013/01/28
  2. 2. Outline - Solr •  •  •  •  •  Add a new core Define the schema Feed data and update partial data Query and Ranking Spatial Query •  Prerequisite: Introduction and Tutorial http://www.slideshare.net/jimmy_lai/search-engine-back-end-api-solution-for-fast-prototyping LDSP 2
  3. 3. Add a New Core •  Core in Solr: a set of configuration of schema and indexing. •  Cmd: fab create_core:$core_name –  What happended: 1.  Copy the dir data/solr_core_template to dir solr_conf with new name $core_name 2.  Set config in core.properties with name= $core_name 3.  Put it under solr_conf and then run solr with solr.solr.home=solr_conf, and then solr can find the new core. •  Can be done with: fab start_solr Ref:  h'p://wiki.apache.org/solr/CoreAdmin    
  4. 4. Define the Schema •  Edit file solr_conf/$core_name/conf/ shcema.xml •  Add more fields in <fields> section: –  <field name="sourcesite" type="string" indexed="true" stored="true" required="false" /> •  Define your type in <types> section: <fieldType name=”chinese" class="solr.TextField" positionIncrementGap="100"> <analyzer> <tokenizer class="solr.SmartChineseSentenceTokenizerFactory"/> <filter class="solr.RemoveDuplicatesTokenFilterFactory”/> </analyzer> </fieldType> Ref:  h'p://wiki.apache.org/solr/SchemaXml    
  5. 5. Feed Data and Update Partial Data •  Run solr after schema updated: –  fab run_solr •  Prepare new feed data in JSON format: –  [{‘id’: id1, ‘field1’: value11, ‘field2’: value21}, {‘id’: id2, ‘field_1’:value21}] •  Send by Http Post to Solr: –  curl http://localhost:8983/solr/$core_name/update/json? commit=true --data-binary @$json_file_name -i -H 'Contenttype:application/json’ •  Partial Update JSON format: –  [{‘id’: id1, ‘field1’: {‘set’: new_value}] Ref:  h'p://wiki.apache.org/solr/UpdateJSON    
  6. 6. Query and Ranking •  Let’s use pysolr: –  solr = pysolr.Solr('http://localhost:8983/solr/movie’) –  results = [i for i in solr.search('*:*', **{‘row’: 100})] •  Query (1st parameter of search()) –  Specify value of a field ‘field:value’ –  Range query ‘field:[1 TO 100]’ –  Boolean operation ‘field1:v1 AND field2:v2’ •  Sort (put in 2nd parameter of search()) –  {‘sort’: ‘field desc’} Ref:  h'p://wiki.apache.org/solr/SolrQuerySyntax    
  7. 7. Query and Ranking Exploit the Solr UI
  8. 8. Spatial Query •  In shcema.xml, set the the type of field as location: –  <field name="location" type="location" indexed="true" stored="true" required="false" /> •  Query: –  {'pt': ’23.853,120.498’, 'sfield': 'location', 'sort': 'geodist() asc'} •  Get the distance (KM) by: –  {‘fl’: ‘*,distance:geodist()’} Ref:  h'p://wiki.apache.org/solr/SpaEalSearch    
  9. 9. The next steps •  Understand the mechanism of: –  Solr: •  Update schema •  Update partial data •  Query language of Solr –  Djangorestframework: •  Add more parameters •  Input validation •  Output rendering •  Deploy to production environment LDSP 9

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