本文介绍了基于唯一键的术语聚合的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!
问题描述
我有一个包含文件的索引。它们中的每一个都具有每个用户具有不同值的密钥userid,但是每个用户可以具有多个文档。每个用户都有其他属性(如颜色,动物)。我需要获取每个属性的密码数量:
aggs:{
colors:{terms:{field:color}},
animals:{terms:{field:animal但是我需要每个唯一用户标识的这些数据,也许是:
>
aggs:{
group-by:{field:userid},
sub-aggs:{
颜色:{terms:{field:color}},
animals:{terms:{field:animal}}
}
}
/ pre>
我查看了嵌套的聚合,但如果它们有帮助,则没有得到它。
这是可能吗?
解决方案这是我从终端找到的其他答案和ES文档的提示: p>
curl -sS''
{
aggs:{
colors:{
aggs:{
users:{
cardinality:{
field:userid
}
}
},
terms:{
field颜色
}
}
}
}''http:// localhost:9200 / index / type / _search?size = 0& pretty'
{
take:806,
timed_out:false,
_shards:{
total:5,
successful 5,
failed:0
},
hits:{
total:5288447,
max_score:0.0,
hits:[]
},
index:{
colors:{
doc_count_error_upper_bound:0,
sum_other_doc_count
buckets:[{
key:red,
doc_count:1185936,
users:{
value:776440
}
},{
key:green,
doc_count:1104816,
users:{
val ue:758189
}
}]
}
}
}
I have an index full of documents. Each of them has a key "userid" with a distinct value per user, but each user may have multiple documents. Each user has additional properties (like "color", "animal").
I need to get the agg counts per property which would be:
aggs: {
colors: { terms: { field: color } },
animals: { terms: { field: animal } }
}
But I need these counts per unique userid, maybe:
aggs: {
group-by: { field: userid },
sub-aggs: {
colors: { terms: { field: color } },
animals: { terms: { field: animal } }
}
}
I looked at the nested aggregations, but didn't get it if they'd be helpful.
Is this possible?
解决方案 Here is what I finally found by hints from the other answer and the ES documentation:
curl -sSd '
{
"aggs" : {
"colors" : {
"aggs" : {
"users" : {
"cardinality" : {
"field" : "userid"
}
}
},
"terms" : {
"field" : "color"
}
}
}
}' 'http://localhost:9200/index/type/_search?size=0&pretty'
{
"took" : 806,
"timed_out" : false,
"_shards" : {
"total" : 5,
"successful" : 5,
"failed" : 0
},
"hits" : {
"total" : 5288447,
"max_score" : 0.0,
"hits" : [ ]
},
"index" : {
"colors" : {
"doc_count_error_upper_bound" : 0,
"sum_other_doc_count" : 0,
"buckets" : [ {
"key" : "red",
"doc_count" : 1185936,
"users" : {
"value" : 776440
}
}, {
"key" : "green",
"doc_count" : 1104816,
"users" : {
"value" : 758189
}
} ]
}
}
}
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