A multi-bucket value source based aggregation that enables the user to define a set of ranges－每个代表一个bucket。在聚合过程中，从每个文件中提取的值将根据每个存储区范围进行检查，并对相关/匹配文档进行“bucket”，值得注意的是，注意，此聚合包含了from值，不包括每个范围的to的值。
例子：
{
"aggs" : {
"price_ranges" : {
"range" : {
"field" : "price",
"ranges" : [
{ "to" : 50 },
{ "from" : 50, "to" : 100 },
{ "from" : 100 }
]
}
}
}
}
响应结果：
{
...
"aggregations": {
"price_ranges" : {
"buckets": [
{
"to": 50,
"doc_count": 2
},
{
"from": 50,
"to": 100,
"doc_count": 4
},
{
"from": 100,
"doc_count": 4
}
]
}
}
}
将keyed标志设置为true会将一个惟一的字符串键与每个bucket关联起来，并将范围作为散列而不是数组返回:
{
"aggs" : {
"price_ranges" : {
"range" : {
"field" : "price",
"keyed" : true,
"ranges" : [
{ "to" : 50 },
{ "from" : 50, "to" : 100 },
{ "from" : 100 }
]
}
}
}
}
响应结果：
{
...
"aggregations": {
"price_ranges" : {
"buckets": {
"*-50.0": {
"to": 50,
"doc_count": 2
},
"50.0-100.0": {
"from": 50,
"to": 100,
"doc_count": 4
},
"100.0-*": {
"from": 100,
"doc_count": 4
}
}
}
}
}
可以为每个范围自定义key：
{
"aggs" : {
"price_ranges" : {
"range" : {
"field" : "price",
"keyed" : true,
"ranges" : [
{ "key" : "cheap", "to" : 50 },
{ "key" : "average", "from" : 50, "to" : 100 },
{ "key" : "expensive", "from" : 100 }
]
}
}
}
}
{
"aggs" : {
"price_ranges" : {
"range" : {
"script" : {
"lang": "painless",
"inline": "doc['price'].value"
},
"ranges" : [
{ "to" : 50 },
{ "from" : 50, "to" : 100 },
{ "from" : 100 }
]
}
}
}
}
这将把script参数解释为具有painless脚本语言和no script参数的inline脚本。要使用文件脚本，请使用以下语法
{
"aggs" : {
"price_ranges" : {
"range" : {
"script" : {
"file": "my_script",
"params": {
"field": "price"
}
},
"ranges" : [
{ "to" : 50 },
{ "from" : 50, "to" : 100 },
{ "from" : 100 }
]
}
}
}
}
对于索引脚本，用id参数替换file参数。
假设产品价格是美元，但我们希望得到欧元的价格区间，我们可以使用value script在聚合之前转换价格（假设汇率是0.8）
{
"aggs" : {
"price_ranges" : {
"range" : {
"field" : "price",
"script" : {
"lang": "painless",
"inline": "_value * params.conversion_rate",
"params" : {
"conversion_rate" : 0.8
}
},
"ranges" : [
{ "to" : 35 },
{ "from" : 35, "to" : 70 },
{ "from" : 70 }
]
}
}
}
}
下面的示例不仅将文档“bucket”到不同的bucket，而且计算每个价格范围内的价格统计
{
"aggs" : {
"price_ranges" : {
"range" : {
"field" : "price",
"ranges" : [
{ "to" : 50 },
{ "from" : 50, "to" : 100 },
{ "from" : 100 }
]
},
"aggs" : {
"price_stats" : {
"stats" : { "field" : "price" }
}
}
}
}
}
响应结果：
{
"aggregations": {
"price_ranges" : {
"buckets": [
{
"to": 50,
"doc_count": 2,
"price_stats": {
"count": 2,
"min": 20,
"max": 47,
"avg": 33.5,
"sum": 67
}
},
{
"from": 50,
"to": 100,
"doc_count": 4,
"price_stats": {
"count": 4,
"min": 60,
"max": 98,
"avg": 82.5,
"sum": 330
}
},
{
"from": 100,
"doc_count": 4,
"price_stats": {
"count": 4,
"min": 134,
"max": 367,
"avg": 216,
"sum": 864
}
}
]
}
}
}
如果sub aggregation（子集合）也基于与范围聚合相同的值（如上例中的统计信息聚合），则可以省略其值的定义。以下内容将返回与上述相同的结果
{
"aggs" : {
"price_ranges" : {
"range" : {
"field" : "price",
"ranges" : [
{ "to" : 50 },
{ "from" : 50, "to" : 100 },
{ "from" : 100 }
]
},
"aggs" : {
"price_stats" : {
"stats" : {} ＃1
}
}
}
}
}
＃1 我们不需要指定price，因为我们默认从父范围聚合“继承”它