背景說明
執行《Elasticsearch 權威指南》的示例,在執行聚合查詢的時候,報錯 Fielddata is disabled on text fields by default.
1)聚合語句如下:
GET _search
{
"aggs": { "all_interests": { "terms": { "field": "interests"} } } }
2)報錯信息如下:
{
"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": "jbFtoSVqQAqfYhE5uTBFvw", "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 }
3)Kibana 的 Dev Tools 執行截圖如下:
原因分析
Elasticsearch 5.x版本以后,對排序和聚合等操作,用單獨的數據結構(fielddata)緩存到內存里了,默認是不開啟的,需要單獨開啟。
具體請參考:fielddata
解決方案
1)執行如下語句,將 interests字段進行開啟映射mapping:
PUT megacorp/_mapping/employee/
{
"properties":{ "interests":{ "type":"text", "fielddata":true } } }
2)Kibana 的 Dev Tools 中執行開啟映射mapping語句,截圖如下:
3)再次實行聚合語句,結果如下:

{ "took": 455, "timed_out": false, "_shards": { "total": 5, "successful": 5, "skipped": 0, "failed": 0 }, "hits": { "total": 3, "max_score": 1, "hits": [ { "_index": "megacorp", "_type": "employee", "_id": "2", "_score": 1, "_source": { "first_name": "Jane", "last_name": "Smith", "age": 32, "about": "I like to collect rock albums", "interests": [ "music" ] } }, { "_index": "megacorp", "_type": "employee", "_id": "1", "_score": 1, "_source": { "first_name": "John", "last_name": "Smith", "age": 25, "about": "I love to go rock climbing", "interests": [ "sports" ] } }, { "_index": "megacorp", "_type": "employee", "_id": "3", "_score": 1, "_source": { "first_name": "Douglas", "last_name": "Fir", "age": 35, "about": "I like to build cabinets", "interests": [ "forestry" ] } } ] }, "aggregations": { "all_interests": { "doc_count_error_upper_bound": 0, "sum_other_doc_count": 0, "buckets": [ { "key": "forestry", "doc_count": 1 }, { "key": "music", "doc_count": 1 }, { "key": "sports", "doc_count": 1 } ] } } }
4)Kibana 的 Dev Tools 中,執行效果截圖如下: