Suppose I have 2 tables called "twitter_user" and "twitter_comments".
twitter_users has the fields: username and bio twitter_comments has the fields: username and comment
Obviously, an user has 1 entry in twitter_users and potentially many in twitter_comments
I want to model both twitter_users and twitter_comments in Elastic Search, have ES search both models when I query, knowing that a comment counts towards the overall relevancy score for a twitter user.
I know I can mimic this with just 1 model, by creating a single extra field (in addition to username and bio) with all the comments concatenated. But is there another "cleaner" way?
It depends.
If you just want to be able to search for a users comments ,full-text and over all fields, simply store all comments within the user object (no need to concatenate anything):
{
"user" : {
"username" : "TestUser",
"bio" : "whatever",
"comments" : [
{
"title" : "First comment",
"text" : "My 1st comment"
},
{
"title" : "Second comment",
"text" : "My 2nd comment"
}
]
}
}
If you need per-comment-based queries you need to map the comments as nested (before submitting any data), so that every comment gets treated as a single item.
For your scoring, simply add another field "comment_count" and use this for your boost/scoring.
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