Full-Text Search Internals

Who is using databases?

Who is using search?

Developer

Store

Apache Lucene Elasticsearch

https://cloud.elastic.co

—version: ‘2’ services: elasticsearch: image: docker.elastic.co/elasticsearch/elasticsearch:$ELASTIC_VERSION environment: - bootstrap.memory_lock=true - “ES_JAVA_OPTS=-Xms512m -Xmx512m” - discovery.type=single-node ulimits: memlock: soft: -1 hard: -1 mem_limit: 1g volumes: - esdata1:/usr/share/elasticsearch/data ports: - 9200:9200 kibana: image: docker.elastic.co/kibana/kibana:$ELASTIC_VERSION links: - elasticsearch ports: - 5601:5601 volumes: esdata1: driver: local

Example These are <em>not</em> the droids you are looking for.

html_strip Char Filter These are not the droids you are looking for.

standard Tokenizer These are not the droids you looking for are

lowercase Token Filter these are not the droids looking for you are

stop Token Filter droids you looking

snowball Token Filter droid you look

Analyze

GET /_analyze { “analyzer”: “english”, “text”: “These are not the droids you are looking for.” }

{ } “tokens”: [ { “token”: “droid”, “start_offset”: 18, “end_offset”: 24, “type”: “<ALPHANUM>”, “position”: 4 }, { “token”: “you”, “start_offset”: 25, “end_offset”: 28, “type”: “<ALPHANUM>”, “position”: 5 }, … ]

GET /_analyze { “char_filter”: [ “html_strip” ], “tokenizer”: “standard”, “filter”: [ “lowercase”, “stop”, “snowball” ], “text”: “These are <em>not</em> the droids you are looking for.” }

{ } “tokens”: [ { “token”: “droid”, “start_offset”: 27, “end_offset”: 33, “type”: “<ALPHANUM>”, “position”: 4 }, { “token”: “you”, “start_offset”: 34, “end_offset”: 37, “type”: “<ALPHANUM>”, “position”: 5 }, … ]

Stop Words a an and are as at be but by for if in into is it no not of on or such that the their then there these they this to was will with https://github.com/apache/lucene-solr/blob/master/lucene/ core/src/java/org/apache/lucene/analysis/standard/ StandardAnalyzer.java#L44-L50

Always Use Stop Words?

To be, or not to be.

Languages Arabic, Armenian, Basque, Brazilian, Bulgarian, Catalan, CJK, Czech, Danish, Dutch, English, Finnish, French, Galician, German, Greek, Hindi, Hungarian, Indonesian, Irish, Italian, Latvian, Lithuanian, Norwegian, Persian, Portuguese, Romanian, Russian, Sorani, Spanish, Swedish, Turkish, Thai

More Language Plugins Core: ICU (Asian languages), Kuromoji (advanced Japanese), Phonetic, SmartCN, Stempel (better Polish stemming), Ukrainian (stemming) Community: Hebrew, Vietnamese, Network Address Analysis, String2Integer,…

Language Rules English: Philipp’s → philipp French: l’église → eglis German: äußerst → ausserst

Spanish Éstos no son los androides que estáis buscando.

Spanish est android buscand

Spanish with the English Analyzer

Another Example Obi-Wan never told you what happened to your father.

Another Example obi wan never told you what happen your father

Another Example <b>No</b>. I am your father.

Another Example i am your father

Inverted Index am droid father happen i look never obi told wan what you your ID 1 0 1[4] 0 0 0 1[7] 0 0 0 0 0 1[5] 0 ID 2 0 0 1[9] 1[6] 0 0 1[2] 1[0] 1[3] 1[1] 1[5] 1[4] 1[8] ID 3 1[2] 0 1[4] 0 1[1] 0 0 0 0 0 0 0 1[3]

To / The Index

PUT /starwars { “settings”: { “analysis”: { “filter”: { “my_synonym_filter”: { “type”: “synonym”, “synonyms”: [ “father,dad”, “droid => droid,machine” ] } },

}, } “analyzer”: { “my_analyzer”: { “char_filter”: [ “html_strip” ], “tokenizer”: “standard”, “filter”: [ “lowercase”, “stop”, “snowball”, “my_synonym_filter” ] } }

} “mappings”: { “properties”: { “quote”: { “type”: “text”, “analyzer”: “my_analyzer” } } }

PUT /starwars/_doc/1 { “quote”: “These are <em>not</em> the droids you are looking for.” } PUT /starwars/_doc/2 { “quote”: “Obi-Wan never told you what happened to your father.” } PUT /starwars/_doc/3 { “quote”: “<b>No</b>. I am your father.” }

GET /starwars/_doc/1 GET /starwars/_source/1

Search

POST /starwars/_search { “query”: { “match_all”: { } } }

GET vs POST

{ “took”: 1, “timed_out”: false, “_shards”: { “total”: 5, “successful”: 5, “failed”: 0 }, “hits”: { “total”: 3, “max_score”: 1, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “2”, “_score”: 1, “_source”: { “quote”: “Obi-Wan never told you what happened to your father.” } }, …

POST /starwars/_search { “query”: { “match”: { “quote”: “Droid” } } }

{ } “took”: 2, “timed_out”: false, “_shards”: { “total”: 5, “successful”: 5, “failed”: 0 }, “hits”: { “total”: 1, “max_score”: 0.39556286, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “1”, “_score”: 0.39556286, “_source”: { “quote”: “These are <em>not</em> the droids you are looking for.” } } ] }

POST /starwars/_search { “query”: { “match”: { “quote”: “dad” } } }

… “hits”: { “total”: 2, “max_score”: 0.41913947, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “3”, “_score”: 0.41913947, “_source”: { “quote”: “<b>No</b>. I am your father.” } }, { “_index”: “starwars”, “_type”: “_doc”, “_id”: “2”, “_score”: 0.39291072, “_source”: { “quote”: “Obi-Wan never told you what happened to your father.” } } ] } }

POST /starwars/_search { “query”: { “match”: { “quote”: “machine” } } }

{ } “took”: 2, “timed_out”: false, “_shards”: { “total”: 1, “successful”: 1, “skipped”: 0, “failed”: 0 }, “hits”: { “total”: 1, “max_score”: 1.2499592, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “1”, “_score”: 1.2499592, “_source”: { “quote”: “These are <em>not</em> the droids you are looking for.” } } ] }

POST /starwars/_search { “query”: { “match_phrase”: { “quote”: “I am your father” } } }

{ } “took”: 3, “timed_out”: false, “_shards”: { “total”: 5, “successful”: 5, “failed”: 0 }, “hits”: { “total”: 1, “max_score”: 1.5665855, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “3”, “_score”: 1.5665855, “_source”: { “quote”: “<b>No</b>. I am your father.” } } ] }

POST /starwars/_search { “query”: { “match_phrase”: { “quote”: { “query”: “I am father”, “slop”: 1 } } } }

{ } “took”: 16, “timed_out”: false, “_shards”: { “total”: 5, “successful”: 5, “failed”: 0 }, “hits”: { “total”: 1, “max_score”: 0.8327639, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “3”, “_score”: 0.8327639, “_source”: { “quote”: “<b>No</b>. I am your father.” } } ] }

POST /starwars/_search { “query”: { “match_phrase”: { “quote”: { “query”: “I am not your father”, “slop”: 1 } } } }

{ } “took”: 5, “timed_out”: false, “_shards”: { “total”: 5, “successful”: 5, “failed”: 0 }, “hits”: { “total”: 1, “max_score”: 1.0409548, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “3”, “_score”: 1.0409548, “_source”: { “quote”: “<b>No</b>. I am your father.” } } ] }

POST /starwars/_search { “query”: { “match”: { “quote”: { “query”: “van”, “fuzziness”: “AUTO” } } } }

{ } “took”: 14, “timed_out”: false, “_shards”: { “total”: 5, “successful”: 5, “failed”: 0 }, “hits”: { “total”: 1, “max_score”: 0.18155496, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “2”, “_score”: 0.18155496, “_source”: { “quote”: “Obi-Wan never told you what happened to your father.” } } ] }

POST /starwars/_search { “query”: { “match”: { “quote”: { “query”: “ovi-van”, “fuzziness”: 1 } } } }

{ } “took”: 109, “timed_out”: false, “_shards”: { “total”: 5, “successful”: 5, “failed”: 0 }, “hits”: { “total”: 1, “max_score”: 0.3798467, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “2”, “_score”: 0.3798467, “_source”: { “quote”: “Obi-Wan never told you what happened to your father.” } } ] }

FuzzyQuery History http://blog.mikemccandless.com/2011/03/lucenes-fuzzyquery-is-100-times-faster.html Before: Brute force Now: Levenshtein Automaton

http://blog.notdot.net/2010/07/Damn-Cool-Algorithms-Levenshtein-Automata

SELECT * FROM starwars WHERE quote LIKE “?an” OR quote LIKE “V?n” OR quote LIKE “Va?”

Scoring

Term Frequency / Inverse Document Frequency (TF/IDF) Search one term

BM25 Default in Elasticsearch 5.0 https://speakerdeck.com/elastic/improved-text-scoring-withbm25

Term Frequency

Inverse Document Frequency

Field-Length Norm

POST /starwars/_search?explain=true { “query”: { “match”: { “quote”: “father” } } }

… “_explanation”: { “value”: 0.41913947, “description”: “weight(Synonym(quote:dad quote:father) in 0) [PerFieldSimilarity], result of:”, “details”: [ { “value”: 0.41913947, “description”: “score(doc=0,freq=2.0 = termFreq=2.0\n), product of:”, “details”: [ { “value”: 0.2876821, “description”: “idf(docFreq=1, docCount=1)”, “details”: [] }, { “value”: 1.4569536, “description”: “tfNorm, computed from:”, “details”: [ { “value”: 2, “description”: “termFreq=2.0”, “details”: [] }, …

Score 0.41913947: i am your father 0.39291072: obi wan never told what happen your father you

Vector Space Model Search multiple terms

Search your father

Coordination Factor Reward multiple terms

Search for 3 terms 1 term: 2 terms: 3 terms:

Practical Scoring Function Putting it all together

score(q,d) = queryNorm(q) · coord(q,d) · ∑ ( tf(t in d) · idf(t)² · t.getBoost() · norm(t,d) ) (t in q)

Function Score Script, weight, random, field value, decay (geo or date)

POST /starwars/_search { “query”: { “function_score”: { “query”: { “match”: { “quote”: “father” } }, “random_score”: {} } } }

Compare Scores “100% perfect” vs a “50%” match

Don’t do this. Seriously. Stop trying to think about your problem this way, it’s not going to end well. — https://wiki.apache.org/lucene-java/ ScoresAsPercentages

GET /starwars/_analyze { “analyzer” : “my_analyzer”, “text”: “These are my father’s machines.” }

{ “tokens”: [ { “token”: “my”, “start_offset”: 10, “end_offset”: 12, “type”: “<ALPHANUM>”, “position”: 2 }, { “token”: “father”, “start_offset”: 13, “end_offset”: 21, “type”: “<ALPHANUM>”, “position”: 3 }, { “token”: “dad”, “start_offset”: 13, “end_offset”: 21, “type”: “SYNONYM”, “position”: 3 }, { “token”: “machin”, “start_offset”: 22, “end_offset”: 30, “type”: “<ALPHANUM>”, “position”: 4 } ] }

PUT /starwars/_doc/4 { “quote”: “These are my father’s machines.” }

POST /starwars/_search { “query”: { “match”: { “quote”: “my father machine” } } }

“hits”: { “total”: 4, “max_score”: 2.92523, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “4”, “_score”: 2.92523, “_source”: { “quote”: “These are my father’s machines.” } }, { “_index”: “starwars”, “_type”: “_doc”, “_id”: “1”, “_score”: 0.8617505, “_source”: { “quote”: “These are <em>not</em> the droids you are looking for.” } }, …

2.92523 == 100%

DELETE /starwars/_doc/4 POST /starwars/_search { “query”: { “match”: { “quote”: “my father machine” } } }

“hits”: { “total”: 3, “max_score”: 1.2499592, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “1”, “_score”: 1.2499592, “_source”: { “quote”: “These are <em>not</em> the droids you are looking for.” } }, …

1.2499592 == 43% or 100%?

PUT /starwars/_doc/4 { “quote”: “These droids are my father’s father’s machines.” } POST /starwars/_search { “query”: { “match”: { “quote”: “my father machine” } } }

“hits”: { “total”: 4, “max_score”: 3.0068164, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “4”, “_score”: 3.0068164, “_source”: { “quote”: “These droids are my father’s father’s machines.” } }, { “_index”: “starwars”, “_type”: “_doc”, “_id”: “1”, “_score”: 0.89701396, “_source”: { “quote”: “These are <em>not</em> the droids you are looking for.” } }, …

3.0068164 == 103%?

Performance

Conclusion

Indexing Formatting Tokenize Lowercase, Stop Words, Stemming Synonyms

Scoring Term Frequency Inverse Document Frequency Field-Length Norm Vector Space Model

Thank You! Questions? Philipp Krenn PS: Stickers @xeraa

The End

More

POST /starwars/_search { “query”: { “match”: { “quote”: “father” } }, “highlight”: { “type”: “unified”, “pre_tags”: [ “<tag>” ], “post_tags”: [ “</tag>” ], “fields”: { “quote”: {} } } }

… “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “3”, “_score”: 0.41913947, “_source”: { “quote”: “<b>No</b>. I am your father.” }, “highlight”: { “quote”: [ “<b>No</b>. I am your <tag>father</tag>.” ] } }, …

Boolean Queries must must_not should filter

POST /starwars/_search { “query”: { “bool”: { “must”: { “match”: { “quote”: “father” } }, “should”: [ { “match”: { “quote”: “your” } }, { “match”: { “quote”: “obi” } } ] } } }

… “hits”: { “total”: 2, “max_score”: 0.96268076, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “2”, “_score”: 0.96268076, “_source”: { “quote”: “Obi-Wan never told you what happened to your father.” } }, { “_index”: “starwars”, “_type”: “_doc”, “_id”: “3”, “_score”: 0.73245656, “_source”: { “quote”: “<b>No</b>. I am your father.” } } ] } }

POST /starwars/_search { “query”: { “bool”: { “filter”: { “match”: { “quote”: “father” } }, “should”: [ { “match”: { “quote”: “your” } }, { “match”: { “quote”: “obi” } } ] } } }

… “hits”: { “total”: 2, “max_score”: 0.56977004, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “2”, “_score”: 0.56977004, “_source”: { “quote”: “Obi-Wan never told you what happened to your father.” } }, { “_index”: “starwars”, “_type”: “_doc”, “_id”: “3”, “_score”: 0.31331712, “_source”: { “quote”: “<b>No</b>. I am your father.” } } ] } }

Named Queries & minimum_should_match

POST /starwars/_search { “query”: { “bool”: { “must”: { “match”: { “quote”: “father” } }, “should”: [ { “match”: { “quote”: { “query”: “your”, “_name”: “quote-your” } } }, { “match”: { “quote”: { “query”: “obi”, “_name”: “quote-obi” } } }, { “match”: { “quote”: { “query”: “droid”, “_name”: “quote-droid” } } } ], “minimum_should_match”: 2 } } }

… “hits”: { “total”: 1, “max_score”: 1.8154771, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “2”, “_score”: 1.8154771, “_source”: { “quote”: “Obi-Wan never told you what happened to your father.” }, “matched_queries”: [ “quote-obi”, “quote-your” ] } ] } }

Boosting >1 increase, <1 decrease, <0 punish

POST /starwars/_search { “query”: { “bool”: { “must”: { “match”: { “quote”: “father” } }, “should”: [ { “match”: { “quote”: “your” } }, { “match”: { “quote”: { “query”: “obi”, “boost”: 3 } } } ] } } }

… “hits”: { “total”: 2, “max_score”: 1.5324509, “hits”: [ { “_index”: “starwars”, “_type”: “_doc”, “_id”: “2”, “_score”: 1.5324509, “_source”: { “quote”: “Obi-Wan never told you what happened to your father.” } }, { “_index”: “starwars”, “_type”: “_doc”, “_id”: “3”, “_score”: 0.73245656, “_source”: { “quote”: “<b>No</b>. I am your father.” } } ] } }

Suggestion Suggest a similar text _search end point _suggest deprecated since 5.0

POST /starwars/_search { “query”: { “match”: { “quote”: “drui” } }, “suggest”: { “my_suggestion” : { “text” : “drui”, “term” : { “field” : “quote” } } } }

… “hits”: { “total”: 0, “max_score”: null, “hits”: [] }, “suggest”: { “my_suggestion”: [ { “text”: “drui”, “offset”: 0, “length”: 4, “options”: [ { “text”: “droid”, “score”: 0.5, “freq”: 1 } ] } ] } }

NGram Partial matches Trigram Edge Gram

GET /_analyze { “char_filter”: [ “html_strip” ], “tokenizer”: { “type”: “ngram”, “min_gram”: “3”, “max_gram”: “3”, “token_chars”: [ “letter” ] }, “filter”: [ “lowercase” ], “text”: “These are <em>not</em> the droids you are looking for.” }

{ “tokens”: [ { “token”: “the”, “start_offset”: 0, “end_offset”: 3, “type”: “word”, “position”: 0 }, { “token”: “hes”, “start_offset”: 1, “end_offset”: 4, “type”: “word”, “position”: 1 }, { “token”: “ese”, “start_offset”: 2, “end_offset”: 5, “type”: “word”, “position”: 2 }, { “token”: “are”, “start_offset”: 6, “end_offset”: 9, “type”: “word”, “position”: 3 }, …

GET /_analyze { “char_filter”: [ “html_strip” ], “tokenizer”: { “type”: “edge_ngram”, “min_gram”: “1”, “max_gram”: “3”, “token_chars”: [ “letter” ] }, “filter”: [ “lowercase” ], “text”: “These are <em>not</em> the droids you are looking for.” }

{ “tokens”: [ { “token”: “t”, “start_offset”: 0, “end_offset”: 1, “type”: “word”, “position”: 0 }, { “token”: “th”, “start_offset”: 0, “end_offset”: 2, “type”: “word”, “position”: 1 }, { “token”: “the”, “start_offset”: 0, “end_offset”: 3, “type”: “word”, “position”: 2 }, { “token”: “a”, “start_offset”: 6, “end_offset”: 7, “type”: “word”, “position”: 3 }, { “token”: “ar”, “start_offset”: 6, “end_offset”: 8, “type”: “word”, “position”: 4 }, …

Combining Analyzers Reindex Store multiple times Combine scores

PUT /starwars_v42 { “settings”: { “analysis”: { “filter”: { “my_synonym_filter”: { “type”: “synonym”, “synonyms”: [ “droid,machine”, “father,dad” ] }, “my_ngram_filter”: { “type”: “ngram”, “min_gram”: “3”, “max_gram”: “3”, “token_chars”: [ “letter” ] } },

“analyzer”: { “my_lowercase_analyzer”: { “char_filter”: [ “html_strip” ], “tokenizer”: “whitespace”, “filter”: [ “lowercase” ] }, “my_full_analyzer”: { “char_filter”: [ “html_strip” ], “tokenizer”: “standard”, “filter”: [ “lowercase”, “stop”, “snowball”, “my_synonym_filter” ] },

}, } } “my_ngram_analyzer”: { “char_filter”: [ “html_strip” ], “tokenizer”: “whitespace”, “filter”: [ “lowercase”, “stop”, “my_ngram_filter” ] }

} “mappings”: { “properties”: { “quote”: { “type”: “text”, “fields”: { “lowercase”: { “type”: “text”, “analyzer”: “my_lowercase_analyzer” }, “full”: { “type”: “text”, “analyzer”: “my_full_analyzer” }, “ngram”: { “type”: “text”, “analyzer”: “my_ngram_analyzer” } } } } }

POST /_reindex { “source”: { “index”: “starwars” }, “dest”: { “index”: “starwars_v42” } }

PUT _alias { “actions”: [ { “add”: { “index”: “starwars_v42”, “alias”: “starwars_extended” } } ] }

Aliases Atomic remove and add Point to multiple indices (read-only)

POST /starwars_extended/_search?explain=true { “query”: { “multi_match”: { “query”: “obiwan”, “fields”: [ “quote”, “quote.lowercase”, “quote.full”, “quote.ngram” ], “type”: “most_fields” } } }

… “hits”: { “total”: 1, “max_score”: 0.4912064, “hits”: [ { “_shard”: “[starwars_v42][2]”, “_node”: “BCDwzJ4WSw2dyoGLTzwlqw”, “_index”: “starwars_v42”, “_type”: “_doc”, “_id”: “2”, “_score”: 0.4912064, “_source”: { “quote”: “Obi-Wan never told you what happened to your father.” }, …

Whitespace Tokenizer “weight( Synonym(quote.ngram:biw quote.ngram:iwa quote.ngram:obi quote.ngram:wan) in 0) [PerFieldSimilarity], result of:”

POST /starwars_extended/_search { “query”: { “multi_match”: { “query”: “you”, “fields”: [ “quote”, “quote.lowercase”, “quote.full^5”, “quote.ngram” ], “type”: “best_fields” } } }

“hits”: [ { “_index”: “starwars_v42”, “_type”: “_doc”, “_id”: “1”, “_score”: 1.6022799, “_source”: { “quote”: “These are <em>not</em> the droids you are looking for.” } }, { “_index”: “starwars_v42”, “_type”: “_doc”, “_id”: “2”, “_score”: 1.4997643, “_source”: { “quote”: “Obi-Wan never told you what happened to your father.” } }, { “_index”: “starwars_v42”, “_type”: “_doc”, “_id”: “3”, “_score”: 0.38650417, “_source”: { “quote”: “<b>No</b>. I am your father.” } } ]

Multi Match Type best_fields Score of the best field (default) cross_fields All terms in at least one field most_fields Score sum of all fields phrase

Different Analyzers for Indexing and Searching Per query In the mapping

POST /starwars_extended/_search { “query”: { “match”: { “quote.ngram”: { “query”: “the”, “analyzer”: “standard” } } } }

… “hits”: [ { “_index”: “starwars_extended”, “_type”: “_doc”, “_id”: “2”, “_score”: 0.38254172, “_source”: { “quote”: “Obi-Wan never told you what happened to your father.” } }, { “_index”: “starwars_extended”, “_type”: “_doc”, “_id”: “3”, “_score”: 0.36165747, “_source”: { “quote”: “<b>No</b>. I am your father.” } } ] …

Edge Gram vs Trigram Extending a mapping Testing a custom mapping

POST /starwars_extended/_close PUT /starwars_extended/_settings { “analysis”: { “filter”: { “my_edgegram_filter”: { “type”: “edge_ngram”, “min_gram”: 3, “max_gram”: 10 } }, “analyzer”: { “my_edgegram_analyzer”: { “char_filter”: [ “html_strip” ], “tokenizer”: “standard”, “filter”: [ “lowercase”, “my_edgegram_filter” ] } } } } POST /starwars_extended/_open

GET starwars_extended/_analyze { “text”: “Father”, “analyzer”: “my_edgegram_analyzer” }

{ } “tokens”: [ { “token”: “fat”, “start_offset”: 0, “end_offset”: 6, “type”: “<ALPHANUM>”, “position”: 0 }, { “token”: “fath”, “start_offset”: 0, “end_offset”: 6, “type”: “<ALPHANUM>”, “position”: 0 }, { “token”: “fathe”, “start_offset”: 0, “end_offset”: 6, “type”: “<ALPHANUM>”, “position”: 0 }, { “token”: “father”, “start_offset”: 0, “end_offset”: 6, “type”: “<ALPHANUM>”, “position”: 0 } ]

PUT /starwars_extended/_mapping { “properties”: { “quote”: { “type”: “text”, “fields”: { “edgegram”: { “type”: “text”, “analyzer”: “my_edgegram_analyzer”, “search_analyzer”: “standard” } } } } }

PUT /starwars_extended/_doc/4 { “quote”: “I find your lack of faith disturbing.” } PUT /starwars_extended/_doc/5 { “quote”: “That… is your failure.” }

GET /starwars_extended/_termvectors/4 { “fields”: [ “quote.edgegram” ], “offsets”: true, “payloads”: true, “positions”: true, “term_statistics”: true, “field_statistics”: true }

{ “_index”: “starwars_v42”, “_type”: “_doc”, “_id”: “4”, “_version”: 1, “found”: true, “took”: 3, “term_vectors”: { “quote.edgegram”: { “field_statistics”: { “sum_doc_freq”: 26, “doc_count”: 2, “sum_ttf”: 26 }, “terms”: { “dis”: { “doc_freq”: 1, “ttf”: 1, “term_freq”: 1, “tokens”: [ { “position”: 6, “start_offset”: 26, “end_offset”: 36 } ] }, “dist”: { “doc_freq”: 1, “ttf”: 1, …

POST /starwars_extended/_search { “query”: { “match”: { “quote”: “fail” } } }

POST /starwars_extended/_search { “query”: { “match”: { “quote.lowercase”: “fail” } } }

POST /starwars_extended/_search { “query”: { “match”: { “quote.full”: “fail” } } }

POST /starwars_extended/_search { “query”: { “match”: { “quote.ngram”: “fail” } } }

… “hits”: { “total”: 2, “max_score”: 1.0135446, “hits”: [ { “_index”: “starwars_v42”, “_type”: “_doc”, “_id”: “4”, “_score”: 1.0135446, “_source”: { “quote”: “I find your lack of faith disturbing.” } }, { “_index”: “starwars_v42”, “_type”: “_doc”, “_id”: “5”, “_score”: 0.50476736, “_source”: { “quote”: “That… is your failure.” } } ] …

POST /starwars_extended/_search { “query”: { “match”: { “quote.edgegram”: “fail” } } }

… “hits”: { “total”: 1, “max_score”: 0.39556286, “hits”: [ { “_index”: “starwars_v42”, “_type”: “_doc”, “_id”: “5”, “_score”: 0.39556286, “_source”: { “quote”: “That… is your failure.” } } ] …