背景说明

执行《Elasticsearch 权威指南》的示例,在执行聚合查询的时候,报错 Fielddata is disabled on text fields by default.

1)聚合语句如下:

GET _search
{
"aggs": {
"all_interests": {
"terms": { "field": "interests"}
}
}
}

2)报错信息如下:

{
"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 执行截图如下:

原因分析

Elasticsearch 5.x版本以后,对排序和聚合等操作,用单独的数据结构(fielddata)缓存到内存里了,默认是不开启的需要单独开启

具体请参考:fielddata

解决方案

1)执行如下语句,将 interests字段进行开启映射mapping:

PUT megacorp/_mapping/employee/
{
"properties":{
"interests":{
"type":"text",
"fielddata":true
}
}
}

2)Kibana 的 Dev Tools 中执行开启映射mapping语句,截图如下:

3)再次实行聚合语句,结果如下:

{
"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,执行效果截图如下:

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