6.7. Tying it back together

We promised we’d show an example that used multiple functions, and we didn’t lie. The next listing shows a query for all of the get-together events, where

A particular term is weighted higher.

The reviews are taken into account.

Events with more attendees rank higher.

Events nearer to a geo point are boosted.

Seeing the example will make more sense, so take a look at the next listing. Listing 6.18. Tying all the function_score functions together

In this example, the following occurs:

1. You start by matching all events in the index due to the match_all.
2. You then boost events that have the term “hadoop” in their description using the weight function.
3. Next, you use the number of reviews an event received to modify the score with thefield_value_factor function.
4. Then you take the number of attendees into account using the script_score.
5. Finally, you make the score gradually decay as it gets farther from your origin point with thegauss decay.