Mapper_parsing_exception in the new version of elasticearch 2.1.1

Problem . I created the mapping and its operation in elasticsearch 1.7.1, but after upgrading to 2.1.1 this will give me an exception

Exception

response: '{"error":{"root_cause":[{"type":"mapper_parsing_exception","reason" :"analyzer on field [_all] must be set when search_analyzer is set"}],"type":"ma pper_parsing_exception","reason":"Failed to parse mapping [movie]: analyzer on f ield [_all] must be set when search_analyzer is set","caused_by":{"type":"mapper _parsing_exception","reason":"analyzer on field [_all] must be set when search_a nalyzer is set"}},"status":400}', toString: [Function], toJSON: [Function] } 

 { "settings": { "number_of_shards": 1, "number_of_replicas": 0, "analysis": { "filter": { "nGram_filter": { "type": "nGram", "min_gram": 2, "max_gram": 20, "token_chars": [ "letter", "digit", "punctuation", "symbol" ] } }, "analyzer": { "nGram_analyzer": { "type": "custom", "tokenizer": "whitespace", "filter": [ "lowercase", "asciifolding", "nGram_filter" ] }, "whitespace_analyzer": { "type": "custom", "tokenizer": "whitespace", "filter": [ "lowercase", "asciifolding" ] } } } }, "mappings": { "movie": { "_all": { "index_analyzer": "nGram_analyzer", "search_analyzer": "whitespace_analyzer" }, "properties": { "movieName": { "type": "string", "index": "not_analyzed" }, "movieYear": { "type": "double" }, "imageUrl": { "type": "string" }, "genre": { "type": "string" }, "director": { "type": "string" }, "producer": { "type": "string" }, "cast": { "type": "String" }, "writer": { "type": "string" }, "synopsis": { "type": "string" }, "rating": { "type": "double" }, "price": { "type": "double" }, "format": { "type": "string" }, "offer": { "type": "double" }, "offerString": { "type": "string" }, "language": { "type": "string" } } } } } 
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1 answer

The error is clear enough if you ask me you need to specify analyzer for _all in your video display. The index_analyzer setting index_analyzer been removed in Elasticsearch 2.0 .

  "_all": { "analyzer": "nGram_analyzer", "search_analyzer": "whitespace_analyzer" }, 
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