这是我的医生的样子。
{
"Summary": "The One Way You're Putting Pressure on Your Partner Without Realizing It=20",
"Industry" : "Lifestyle and Fitness",
"Name": "Kali Coleman",
"Email" : "query-bixh@helpareporter.net",
"Media Outlet": "Best Life Online"
},
{
"Summary": "The One Way You're Putting Pressure on",
"Industry" : "High Tech",
"Name": "John Smith",
"Email" : "query-tech@helpareporter.net",
"Media Outlet": "Anonymous"
}
我要计算每种类型的“行业”字段的文档数。这是我想要的输出。
{
"key": "Lifestyle and Fitness",
"count": 1200
},
{
"key": "High Tech",
"count": 590
}
我在这里发现了一个类似的帖子elasticsearch count多个字段分组,只是我不需要过滤。我在我的kibana控制台上试了一下,出现了以下错误。
"root_cause" : [
{
"type" : "illegal_argument_exception",
"reason" : "Text fields are not optimised for operations that require per-document field data like aggregations and sorting, so these operations are disabled by default. Please use a keyword field instead. Alternatively, set fielddata=true on [Industry] in order to load field data by uninverting the inverted index. Note that this can use significant memory."
}
]
如果有人知道解决办法,请告诉我。
谢谢
1条答案
按热度按时间y1aodyip1#
你可以使用
terms
聚合就像示例中的一样,您可以在不使用过滤器的情况下进行聚合。一旦您配置了Industry
字段的Map类型为keyword
,然后您可以运行