我正在使用Elasticsearch 1.4.0 并尝试使用聚合功能。我不断收到带有Cannot find aggregator type [fieldName] in [aggregationName]
消息的SearchParseException。
在JSON格式中,我的数据如下所示。
{ "userCode": "abcd123", "response": 1 }
{ "userCode": "abcd123", "response": 1 }
{ "userCode": "abcd123", "response": 0 }
{ "userCode": "wxyz123", "response": 0 }
{ "userCode": "wxyz123", "response": 0 }
{ "userCode": "wxyz123", "response": 1 }
注意,有2个用户abcd123
和wxyz123
,我只想计算每个响应1和0的次数。如果我将这些数据放入SQL表中,则在SQL中选择语法,我会做这样的事情(如果这个SQL示例有助于说明我想要做的事情)。
select userCode, response, count(*) as total
from response_table
group by userCode, response
我希望结果集如下所示。
abcd123, 0, 1 //user abcd123 responded 0 once
abcd123, 1, 2 //user abcd123 responded 1 twice
wxyz123, 0, 2 //user wxyz123 responded 0 twice
wxyz123, 1, 1 //user wxyz123 responded 1 once
对于Elasticsearch,我的聚合JSON如下所示。
{
"aggs": {
"users": {
"terms": { "field": "userCode" },
"aggs": {
"responses" : {
"terms": { "field": "response" }
}
}
}
}
}
但是,我得到了SearchParseException:Cannot find aggregator type [responses] in [aggs]
。我究竟做错了什么?
如果有帮助,我的映射文件非常简单,如下所示。
{
"data": {
"properties": {
"userCode": {
"type": "string",
"store": "yes",
"index": "analyzed",
"term_vector": "no"
},
"response": {
"type": "integer",
"store": "yes",
"index": "analyzed",
"term_vector": "yes"
}
}
}
}
答案 0 :(得分:2)
以下聚合对我有用(它让我得到了我想要的结果),但是我仍然希望澄清为什么我之前的方法导致了SearchParseException。
{
"aggs": {
"users": {
"terms": { "field" : "userCode" },
"aggs": {
"responses": {
"histogram": { "field": "response", "interval": 1 }
}
}
}
}
}