根据es官网的文档执行
GET /megacorp/employee/_search { "aggs": { "all_interests": { "terms": { "field": "interests" } } } }
这个例子时,报错
{ "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." } ], "type": "search_phase_execution_exception", "reason": "all shards failed", "phase": "query", "grouped": true, "failed_shards": [ { "shard": 0, "index": "megacorp", "node": "-Md3f007Q3G6HtdnkXoRiA", "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." } } ], "caused_by": { "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." } }, "status": 400 }
搜了一下应该是5.x后对排序,聚合这些操作用单独的数据结构(fielddata)缓存到内存里了,需要单独开启,官方解释在此fielddata
简单来说就是在聚合前执行如下操作
PUT megacorp/_mapping/employee/ { "properties": { "interests": { "type": "text", "fielddata": true } } }
PS:执行上面操作前,先GET megacorp/_mapping/employee/查看mapping结构,然后执行上述命令,贴一下我聚合logstash读取tomcat.log到es里cilentip字段的步骤:
1.首先先GET logstash-apacheaccesslog*/_mapping/logs/查看mapping结构
PUT logstash-apacheaccesslog*/_mapping/logs/
{
"properties": {
"verb": {
"type": "text",
"norms": false,
"fielddata": true
}
}
}
2、对clientip字段进行聚合