从多个文档中添加词频 (Solr)

Question

How can you use Solr math operations or function queries to add the term frequency (tf) values for each word for all documents returned by a query?

I know that there are ways to iteratively add term vectors using java, but that can take a long time if the index is large or memory is limited. Solr has the primitive term frequency values and the ability to add normal field values, so I think it should be able to add term frequencies, I just don't know how.

Also, I do not know what the words are ahead of time, each document can have any combination of words.

For this doc result:

"docs": [
  {
    "id": 0,
    "content": [
      "FOO FOO BAR"
    ],
  },
  {
    "id": 0,
    "content": [
      "FOO BAR"
    ],
  },
]},"termVectors": [
"uniqueKeyFieldName",
[
  "0",
  [
    "FOO",
    [
      "tf",
      2
    ],
    "BAR",
    [
      "tf",
      1
    ],
],"1",
  [
    "FOO",
    [
      "tf",
      1
    ],
    "BAR",
    [
      "tf",
      1]]}

I would like something like this instead:

{"frequencies":{
"FOO" : 3
"BAR" : 2
}

UPDATE: I am now OK with a programmatic approach using Java because I do not think SOLR supports an operation like this out of the box.

Answer 1

totaltermfreq或ttf提供术语在索引中出现的总次数。

Answer 2

您是否已经考虑过“ 方面 ”功能？

Answer 3

Have you checked the Stats Component? It's possible to define dynamic fields as stats.field . See stats.field={!func}termfreq('text','memory') in the Solr Stats Component example :

http://localhost:8983/solr/techproducts/select?q=*:*&wt=xml&stats=true&stats.field={!func}termfreq('text','memory')&stats.field=price&stats.field=popularity&rows=0&indent=true