Elastic Search design for nested of nested data - elasticsearch

Question

I am intending to use Elastic Search as primary datastore and my documents are like this nested of nested data. Events has 3 levels of nested data.
{
"Date": "2015-10-21",
"Hour": "7",
"Minute": "15-29",
"Domain": "abc.com",
"Processed_at": "10/23/2015 9:47 UTC"
"Events": [
{
"Name": "visit",
"Count": "188",
"Attributes_Aggregations": [
{
"Name": "price",
"Value_Aggregations": [
{
"Value": "$125",
"Count": "188",
"Unique_Users": [
{
"ID": "CL_2135514566_1427476812_392007750_2004930118",
"Count": "38"
},
{
"ID": "CL_2135514566_1427476812_392007750_2004930119",
"Count": "32"
},
....
]
},
....
]
},
{
"Name": "color",
"Value_Aggregations": [
{
"Value": "red",
"Count": "188",
"Unique_Users": [
{
"ID": "CL_2135514566_1427476812_392007750_2004930118",
"Count": "38"
}
]
}
]
},
...
]
},
{
"Name": "order_created",
"Count": "159",
"Attributes_Aggregations": [
{
"Name": "price",
"Value_Aggregations": [
{
"Value": "$125",
"Count": "159",
"Unique_Users": [
{
"ID": "CL_2135514566_1427476812_392007750_2004930122",
"Count": "32"
},
....
]
}
]
},
]
},
]
}
If i consider to use parent/child relationship structure but as per the Elastic document this level of parent/child query will become slow.
Is there any other idea to design the document to best fit in Elastic Search?
My desired queries will be using all the keys of the document to filter. range and count also to be used.

Answer 1

You can use nested queries if you define the structure at mapping as nested, as explained here and here. I'm not sure why nafas didn't mention this. Queries will be quite nasty to write though.

Answer 2

Elastic Search is a great tool, however there is a major downfall in nested data, the problem is that ES flatten the array of objects, so if you query the nested info it returns them all.
https://www.elastic.co/guide/en/elasticsearch/reference/current/nested.html
for example if you query for Unique_Users.Count=38 it will return you
{
"ID": "CL_2135514566_1427476812_392007750_2004930118",
"Count": "38"
},
{
"ID": "CL_2135514566_1427476812_392007750_2004930119",
"Count": "32"
}
because this particular array (Unique_Users) has a field Count that matches 38