I am using Elasticsearch with no modifications whatsoever. This means the mappings, norms, and analyzed/not_analyzed are all default config. I have a very small data set of two items for experimentation purposes (trying to migrate from Solr). The items have several fields but I query only on one, which is a multi-valued/array of strings field. The doc looks like this:
{
"_index": "index_profile",
"_type": "items",
"_id": "ega",
"_version": 1,
"found": true,
"_source": {
"clicked": [
"ega"
],
"profile_topics": [
"Twitter",
"Entertainment",
"ESPN",
"Comedy",
"University of Rhode Island",
"Humor",
"Basketball",
"Sports",
"Movies",
"SnapChat",
"Celebrities",
"Rite Aid",
"Education",
"Television",
"Country Music",
"Seattle",
"Beer",
"Hip Hop",
"Actors",
"David Cameron",
... // other topics
],
"id": "ega"
}
}
A sample query is:
GET /index_profile/items/_search
{
"size": 10,
"query": {
"bool": {
"should": [{
"terms": {
"profile_topics": [
"Basketball"
]
}
}]
}
}
}
Again there are only two items and the one listed should match the query because the profile_topics
field matches with the "Basketball" term. The other item does not match. I only get a result if I ask for clicked
= ega
in the should.
With Solr I would probably specify that the fields are multi-valued string arrays and are to have no norms and no analyzer so profile_topics are not stemmed or tokenized since all values should be treated as tokens (even the spaces). Not sure this would solve the problem but it is how I treat similar data on Solr.
I assume I have run afoul of some norm/analyzer/TF-IDF issue, if so how do I solve this so that even with two items the query will return ega
. If possible I'd like to solve this index or type wide rather than field specific.