我在elasticsearch中有一个索引,并已导入json文件以下:
{"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"}
现在我想获取每个月每种类型的计数,直到现在我可以通过下面的elasticsearch查询按类别找到总计数:
{
"size": 0,
"aggs": {
"group_by_Type": {
"terms": {
"field": "Type"
}
}
}
}
我希望按月划分此计数。请帮忙
最佳答案
好的开始!现在,您只需要使用将date_histogram
设置为interval
的 month
aggregation,然后将当前的terms
聚合移动为date_histogram
聚合的子聚合,基本上是这样的:
{
"size": 0,
"aggs": {
"group_by_month": {
"date_histogram": {
"field": "Date",
"interval": "month"
},
"aggs": {
"group_by_Type": {
"terms": {
"field": "Type"
}
}
}
}
}
}
更新
如果您只想关注某个时间段,则可以添加查询以限制文档集聚合:
{
"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"
}
}
}
}
}
}