I have a index in elasticsearch and have imported below json file:
{"index" : {"_id": "1"}}
{"Name": "apple","Type": "fruit","Rate": "64","Date": "2016-01-24"}
{"index" : {"_id": "2"}}`enter code here`
{"Name": "grape","Type": "fruit","Rate": "100","Date": "2016-01-21"}
{"index" : {"_id": "3"}}
{"Name": "banana","Type": "fruit","Rate": "72","Date": "2016-01-14"}
{"index" : {"_id": "4"}}
{"Name": "orange","Type": "fruit","Rate": "82","Date": "2016-01-13"}
{"index" : {"_id": "5"}}
{"Name": "mango","Type": "fruit","Rate": "53","Date": "2016-02-16"}
{"index" : {"_id": "6"}}
{"Name": "grapes","Type": "fruit","Rate": "56","Date": "2016-02-18"}
{"index" : {"_id": "7"}}
{"Name": "blueberry","Type": "fruit","Rate": "96","Date": "2016-02-25"}
{"index" : {"_id": "8"}}
{"Name": "watermelon","Type": "fruit","Rate": "124","Date": "2016-02-12"}
{"index" : {"_id": "9"}}
{"Name": "papaya","Type": "fruit","Rate": "75","Date": "2016-03-09"}
{"index" : {"_id": "10"}}
{"Name": "carrot","Type": "vegetable","Rate": "25","Date": "2016-01-21"}
{"index" : {"_id": "11"}}
{"Name": "ladyfinger","Type": "vegetable","Rate": "89","Date": "2016-01-26"}
{"index" : {"_id": "12"}}
{"Name": "potato","Type": "vegetable","Rate": "36","Date": "2016-02-14"}
{"index" : {"_id": "13"}}
{"Name": "tomato","Type": "vegetable","Rate": "45","Date": "2016-02-07"}
{"index" : {"_id": "14"}}
{"Name": "spinach","Type": "vegetable","Rate": "25","Date": "2016-02-24"}
{"index" : {"_id": "15"}}
{"Name": "raddish","Type": "vegetable","Rate": "21","Date": "2016-02-13"}
{"index" : {"_id": "16"}}
{"Name": "pumpkin","Type": "vegetable","Rate": "78","Date": "2016-03-10"}
{"index" : {"_id": "17"}}
{"Name": "lemon","Type": "vegetable","Rate": "98","Date": "2016-03-11"}
now i want to get count of each Type for each month, till now i am able to find total count group by category by below elasticsearch query:
{
"size": 0,
"aggs": {
"group_by_Type": {
"terms": {
"field": "Type"
}
}
}
}
I want this count to be devided by month. Please help
Good start! Now you simply need to use a date_histogram
aggregation with interval
set to month
and then move your current terms
aggregation as a sub-aggregation of the date_histogram
aggregation, basically like this:
{
"size": 0,
"aggs": {
"group_by_month": {
"date_histogram": {
"field": "Date",
"interval": "month"
},
"aggs": {
"group_by_Type": {
"terms": {
"field": "Type"
}
}
}
}
}
}
UPDATE
If you only want to focus on a time period, you can add a query to restrain the document set to aggregate:
{
"size": 0,
"query": {
"range": {
"Date": {
"gte": "2016-01-01T00:00:00.000Z",
"lt": "2016-02-01T00:00:00.000Z"
}
}
},
"aggs": {
"group_by_month": {
"date_histogram": {
"field": "Date",
"interval": "month"
},
"aggs": {
"group_by_Type": {
"terms": {
"field": "Type"
}
}
}
}
}
}
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