[英]Returning term count for a single document using the terms facet in elastic search
Say I have the following search query... 说我有以下搜索查询...
POST /topics/_search
{
"fields": [
"topic_attachment",
"topic_replies",
"topic_status"
],
"query" : {
"filtered" : {
"query" : {
"term" : {
"_id" : "5478"
}
}
}
},
"facets": {
"text": {
"terms": {
"field": "text",
"size": 10,
"order": "count"
}
}
}
}
The result of this search is the following. 该搜索的结果如下。
{
"took": 93,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 1,
"max_score": 1,
"hits": [
{
"_index": "topics",
"_type": "full-topic",
"_id": "5478",
"_score": 1,
"fields": {
"topic_replies": 1141,
"topic_status": 0,
"topic_attachment": false
}
}
]
},
"facets": {
"text": {
"_type": "terms",
"missing": 0,
"total": 8058,
"other": 8048,
"terms": [
{
"term": "ω",
"count": 1
},
{
"term": "œyouâ",
"count": 1
},
{
"term": "œyou",
"count": 1
},
{
"term": "œwhisperedâ",
"count": 1
},
{
"term": "œwalt",
"count": 1
},
{
"term": "œunderstandingâ",
"count": 1
},
{
"term": "œtieâ",
"count": 1
},
{
"term": "œthe",
"count": 1
},
{
"term": "œpersonally",
"count": 1
},
{
"term": "œnappiesâ",
"count": 1
}
]
}
}
}
Each term has a count of exactly 1. Why is this? 每个术语的计数均为1。这是为什么? I know the text from this document has more than one term in common. 我知道本文档中的文本有多个共同点。 Is this because the term count only increments once per document? 这是因为术语计数在每个文档中仅增加一次? If so how do I count a term more than once from a single document? 如果是这样,我如何从一个文档中多次计算一个术语?
That's the document count, not the term frequency. 那是文件数量,而不是术语频率。 Luckily with the new aggregations module (replacement for facets introduced in 1.0.Beta2) count
has been renamed to doc_count
to clarify what it is. 幸运的是,使用新的聚合模块(在1.0.Beta2中引入了替换构面), count
已重命名为doc_count
以阐明其含义。
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