更新fielddata为true_关于ElasticSearch的聚类时出现fielddata=true问题

Elasticsearch默认不开启Text字段的fielddata,为进行聚合查询需设置fielddata为true。通过PUT请求更新索引映射,开启interests字段的fielddata,然后可以成功执行聚合查询,实现兴趣分析等功能。

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在ElasticSearch中默认fielddata默认是false的,因为开启Text的fielddata后对内存的占用很高

index:megacorp

type:employee

如果进行聚合查询时候:

GET /megacorp/employee/_search

{

"aggs": {

"all_interests": {

"terms": { "field": "interests" }

}

}

}

返回错误码:

{

"error" : {

"root_cause" : [

{

"type" : "illegal_argument_exception",

"reason" : "Fielddata is disabled on text fields by default. Set fielddata=true on [interests] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."

}

],

"type" : "search_phase_execution_exception",

"reason" : "all shards failed",

"phase" : "query",

"grouped" : true,

"failed_shards" : [

{

"shard" : 0,

"index" : "megacorp",

"node" : "hDWX06IlTiu7gK3ybmsb-g",

"reason" : {

"type" : "illegal_argument_exception",

"reason" : "Fielddata is disabled on text fields by default. Set fielddata=true on [interests] in order to load fielddata in memory by uninverting the inverted index. Note that this can however use significant memory. Alternatively use a keyword field instead."

}

}

]

},

"status" : 400

}

提示:fielddata=true未开启

此时需要做的是:

curl -i -H "Content-Type:application/json" -XPUT 127.0.0.1:9200/your_index/_mapping/your_type/?pretty -d'{"your_type":{"properties":{"your_field_name":{"type":"text","fielddata":true}}}}'

1

curl -i -H "Content-Type:application/json" -XPUT 127.0.0.1:9200/megacorp/_mapping/employee/?pretty -d'{"employee":{"properties":{"interests":{"type":"text","fielddata":true}}}}'

1

interests指的是需要开启fielddata的field

此时再进行测试

"aggregations" : {

"all_interests" : {

"doc_count_error_upper_bound" : 0,

"sum_other_doc_count" : 0,

"buckets" : [

{

"key" : "music",

"doc_count" : 2

},

{

"key" : "forestry",

"doc_count" : 1

},

{

"key" : "sports",

"doc_count" : 1

}

]

}

就可以看出根据interests来进行聚类的查询结果,在这里就可以根据结果进行兴趣分析等

————————————————

原文链接:https://blog.youkuaiyun.com/baristas/article/details/78974090

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