Let's say I have an object in the test
bucket in my Riak installation with the following structure:
{
"animals": {
"dog": "woof",
"cat: "miaow",
"cow": "moo"
}
}
When performing a search request for this object, the structure of the search results is as follows:
{
"responseHeader": {
"status": 0,
"QTime": 3,
"params": {
"q": "animals_cow:moo",
"q.op": "or",
"filter":"",
"wt": "json"
}
},
"response": {
"numFound": 1,
"start": 0,
"maxScore": "0.353553",
"docs": [
{
"id": "test",
"index": "test",
"fields": {
"animals_cat": "miaow",
"animals_cow": "moo",
"animals_dog": "woof"
},
"props": {}
}
]
}
}
As you can see, the way the object is stored, the cat
, cow
and dog
keys are nested within animals
. However, when the search results come back, none of the keys are nested, and are simply separated by _
.
My question is this: Is there any way provided by Riak to "reverse format" the search, and return the fields of the object in the correct (nested) format? This becomes a problem when storing and returning user data that might possibly contain _
.
I do see that the latest version of Riak (beta release) provides a search schema, but I can't seem to see whether my question would be answered by this.
What you receive back in the search result is what the object looked like after passing through the json analyzer. If you need the data formatted differently, you can use a custom analyzer. However, this will only affect newly put data.
For existing data, you can use the
id
field and issue a get request for the original object, or use the solr query as input to a MapReduce job.