Created
January 10, 2020 12:51
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Idea of DSL for Elasticsearch mappings
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pattern_replace removeNonWordExceptComa [[^\p{IsAlphabetic}]&&\D&&[^,]&&\S] -> "" | |
pattern_replace pseudoElisionHack65Synonyms { | |
pattern (\b[a-zA-Z]\') | |
replacement "" | |
} | |
index a2_onecarrefour_instore_20200108_143341 { | |
type product | |
settings { | |
number_of_shards 1 | |
number_of_replicas 1 | |
refresh_interval 60s | |
} | |
all keyword * { | |
ignore_above 256 | |
} | |
keyword Titre | |
keyword facet_enseignes { | |
text sort { | |
fielddata true | |
analysis { | |
tokenizer keyword | |
char_filter [ | |
removeNonWordExceptComa | |
pseudoElisionHack65Synonyms | |
] | |
filter [ | |
lowercase | |
asciifolding | |
pattern_replace [^\\w] -> "" | |
] | |
} | |
} | |
} | |
object availability { | |
keyword real_availability | |
object slice_available { | |
boolean 1A AB 2A 2B | |
} | |
} | |
} |
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