A bemusing problem landed in my hands not too long ago. And after spending some time thinking about it, I still can’t figure out an elegant way of dealing with it.
I have some piece of code that deals with full-text search queries. And it apparently does work. But I need to write some nice tests. And here’s where I’m stuck.
What’s the best way of testing full-text search?
Without getting too deep into the details and semantics, let’s say I have some kind of in-memory DB, and I need to write a bunch of generative tests that would test full-text query capabilities.
Let me use a simple Elasticsearch query as an example:
{
"query": {
"query_string": {
"query" : "*",
"fields": [],
"default_operator": "and"
}
}
}
How do we thoroughly test these types of queries, with different values of query, with random fields, with default_operator set to OR, or AND?
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Do I first need to generate a bunch of documents, and then based on that data, find a way to generate a bunch of queries?
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Or do I first generate a bunch of different queries, and based on that data, somehow generate documents that would match (or wouldn’t) those queries.
Has anyone done anything similar before?
Of course, I can make a few fixtures and write a few dozen example-based tests. But I’m sure that’s a guaranteed way of missing something.