我想在Elasticsearch 1.7中使用Phrase Suggester。
https://www.elastic.co/guide/en/elasticsearch/reference/current/search-suggesters-phrase.html
所以,我创建了下面的查询,如domcument pages sample,但我收到了错误。
nested:ElasticsearchIllegalArgumentException [找不到映射 field [itemname]];
$ curl -XPOST 'localhost:9200/_search?pretty' -d '{
"query": {
"function_score": {
"query": {
"filtered": {
"query": {
"query_string": {
"fields": [
"itemname"
],
"query": "cola"
}
}
}
}
}
},
"suggest": {
"text": "cola",
"simple_phrase": {
"phrase": {
"field": "itemname",
"size": 5,
"real_word_error_likelihood": 0.95,
"max_errors": 0.5,
"gram_size": 2
}
}
}
}'
但 字段[itemname]] 是明确定义的。
实际上,我可以使用此查询从itemname字段进行搜索。
$ curl -XPOST 'localhost:9200/_search?pretty' -d '{
"query": {
"function_score": {
"query": {
"filtered": {
"query": {
"query_string": {
"fields": [
"itemname"
],
"query": "cola"
}
}
}
}
}
}
}'
{
"took" : 9,
"timed_out" : false,
"_shards" : {
"total" : 15,
"successful" : 15,
"failed" : 0
},
"hits" : {
"total" : 97,
"max_score" : 11.625176,
"hits" : [ {
"_index" : "my_index",
"_type" : "my_type",
"_id" : "20615",
"_score" : 11.625176,
"_source":{"itemid":"20615","itemname":"cola 500ml"}
}, {
在这种情况下我有什么问题?
有没有人建议我如何正确使用短语建议器?
感谢。
添加我的设置
# curl -XGET 'http://localhost:9200/my_index?pretty'
{
"my_index" : {
"aliases" : { },
"mappings" : {
"my_type" : {
"_all" : {
"enabled" : true,
"analyzer" : "kuromoji_analyzer"
},
"properties" : {
"itemid" : {
"type" : "string",
"index" : "not_analyzed",
"store" : true
},
"catname" : {
"type" : "string",
"store" : true,
"analyzer" : "kuromoji_analyzer"
},
"itemname" : {
"type" : "string",
"store" : true,
"analyzer" : "kuromoji_analyzer"
},
"myscore" : {
"type" : "double",
"store" : true
},
"subcatname" : {
"type" : "string",
"store" : true,
"analyzer" : "kuromoji_analyzer"
}
}
}
},
答案 0 :(得分:1)
我认为,由于您在根端点/
上运行了建议者查询,因此您的搜索会触及另一个没有定义itemname
字段的映射类型的索引。
尝试直接在具有定义itemname
字段的映射类型的索引上运行查询。
根据您的第二个查询的结果,您应该尝试在/my_index/my_type
而不是根端点/
上运行您的建议器
add the index and the type
| |
v v
curl -XPOST 'localhost:9200/my_index/my_type/_search?pretty' -d '{
"query": {
"function_score": {
"query": {
"filtered": {
"query": {
"query_string": {
"fields": [
"itemname"
],
"query": "cola"
}
}
}
}
}
},
"suggest": {
"text": "cola",
"simple_phrase": {
"phrase": {
"field": "itemname",
"size": 5,
"real_word_error_likelihood": 0.95,
"max_errors": 0.5,
"gram_size": 2
}
}
}
}'