ElasticSearch what analyzer should be used for searching for both url fragment and exact url path - elasticsearch

Question

I want to store uri in a mapping and I want to make it searchable the following way:
Exact match (i.e. if I stored: http://stackoverflow.com/questions then looking for the term http://stackoverflow.com/questions retrieves the item.
Bit like letter tokenizer all "words" should be searchable. So searching for either questions, stackoverflow or maybe com will bring back http://stackoverflow.com/questions as a hit.
Looking for '.' or '/' separated url fragments should be still searchable. So searching for stackoverflow.com will bring back http://stackoverflow.com/questions as a hit.
should be case insensitive. (like lowercase)
The html://, htmls://, www. etc. is optional for searching. So searching for either http://stackoverflow.com or stackoverflow.com will bring back http://stackoverflow.com/questions as a hit.
Maybe a solution should be something like chaining tokenizers or something like that. I'm quite new to ES so this is maybe a trivial question.
So what kind of analyzer should I use/build to achieve this functionality?
Any help would be greatly apprechiated.

Answer 1

You are absolutely, correct. You will want to set your field type as multi_field and then create analyzers for each scenario. At the core, you can then do a multi_match query:
=============type properties===============
{
"fun_documents": {
"properties": {
"url": {
"type": "multi_field",
"fields": {
"keyword": {
"type": "string",
"analyzer": "keyword"
},
"alphanum_only": {
"type": "string",
"analyzer": "my_custom_alpha_num_analyzer"
},
{
"etc": "etc"
}
}
}
}
}
}
==================query=====================
{
"query": {
"multi_match": {
"query": "stackoverflow",
"fields": [
"url.keyword",
"url.alphanum_only",
"url.optional_fun"
]
}
}
}
Note that you can get fancy with multi_field aliases and reusing the same name, but this is the simple demonstration.