Background note
Execute the example of “Elasticsearch Authoritative Guide”, when executing aggregate query, error Fielddata is disabled on text fields by default.
1) The aggregation statement is as follows:
GET _search { "aggs": { "all_interests": { "terms": { "field": "interests"} } } }
2) The error message is as follows:
{ "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) The screenshot of Kibana’s Dev Tools execution is as follows:
Cause Analysis
After Elasticsearch 5.x version, operations such as sorting and aggregation are cached in memory with a separate data structure (fielddata), which is not enabled by default and needs to be enabled separately .
For details, please refer to: fielddata
solution
1) Execute the following statement to enable the mapping of the interests field:
PUT megacorp/_mapping/employee/ { "properties":{ "interests":{ "type":"text", "fielddata":true } } }
2) Execute the opening mapping statement in Dev Tools of Kibana, the screenshot is as follows:
3) Implement the aggregation statement again, and the results are as follows:
{ "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) In Kibana’s Dev Tools, the execution effect screenshot is as follows:
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