# cardinality 去重算法以及每月销售品牌数量统计
cartinality metric 对每个 bucket 中的指定的 field 进行去重，取去重后的 count，类似于 count(distcint)
下面尝试不使用 cartinality 来实现每月销售品牌数量统计
GET /tvs/sales/_search
{
"size": 0,
"aggs": {
"group_by_date": {
"date_histogram": {
"field": "sold_date",
"interval": "month"
},
"aggs": {
"group_by_brand": {
"terms": {
"field": "brand"
}
}
}
}
}
}
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结果返回
{
"took": 1,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 8,
"max_score": 0,
"hits": []
},
"aggregations": {
"group_by_date": {
"buckets": [
{
"key_as_string": "2016-05-01T00:00:00.000Z",
"key": 1462060800000,
"doc_count": 1,
"group_by_brand": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "小米",
"doc_count": 1
}
]
}
},
{
"key_as_string": "2016-06-01T00:00:00.000Z",
"key": 1464739200000,
"doc_count": 0,
"group_by_brand": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": []
}
},
{
"key_as_string": "2016-07-01T00:00:00.000Z",
"key": 1467331200000,
"doc_count": 1,
"group_by_brand": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "TCL",
"doc_count": 1
}
]
}
},
{
"key_as_string": "2016-08-01T00:00:00.000Z",
"key": 1470009600000,
"doc_count": 1,
"group_by_brand": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "TCL",
"doc_count": 1
}
]
}
},
{
"key_as_string": "2016-09-01T00:00:00.000Z",
"key": 1472688000000,
"doc_count": 0,
"group_by_brand": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": []
}
},
{
"key_as_string": "2016-10-01T00:00:00.000Z",
"key": 1475280000000,
"doc_count": 1,
"group_by_brand": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "长虹",
"doc_count": 1
}
]
}
},
{
"key_as_string": "2016-11-01T00:00:00.000Z",
"key": 1477958400000,
"doc_count": 2,
"group_by_brand": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "长虹",
"doc_count": 2
}
]
}
},
{
"key_as_string": "2016-12-01T00:00:00.000Z",
"key": 1480550400000,
"doc_count": 0,
"group_by_brand": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": []
}
},
{
"key_as_string": "2017-01-01T00:00:00.000Z",
"key": 1483228800000,
"doc_count": 1,
"group_by_brand": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "三星",
"doc_count": 1
}
]
}
},
{
"key_as_string": "2017-02-01T00:00:00.000Z",
"key": 1485907200000,
"doc_count": 1,
"group_by_brand": {
"doc_count_error_upper_bound": 0,
"sum_other_doc_count": 0,
"buckets": [
{
"key": "小米",
"doc_count": 1
}
]
}
}
]
}
}
}
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可以看到上面的结果，只能统计到每个月的品牌数量，而不是去重的
下面来实现去重后的品牌数量统计
GET /tvs/sales/_search
{
"size": 0,
"aggs": {
"group_by_date": {
"date_histogram": {
"field": "sold_date",
"interval": "month"
},
"aggs": {
"distinct_brand": {
"cardinality": {
"field": "brand"
}
}
}
}
}
}
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返回结果
{
"took": 6,
"timed_out": false,
"_shards": {
"total": 5,
"successful": 5,
"failed": 0
},
"hits": {
"total": 8,
"max_score": 0,
"hits": []
},
"aggregations": {
"group_by_date": {
"buckets": [
{
"key_as_string": "2016-05-01T00:00:00.000Z",
"key": 1462060800000,
"doc_count": 1,
"distinct_brand": {
"value": 1
}
},
{
"key_as_string": "2016-06-01T00:00:00.000Z",
"key": 1464739200000,
"doc_count": 0,
"distinct_brand": {
"value": 0
}
},
{
"key_as_string": "2016-07-01T00:00:00.000Z",
"key": 1467331200000,
"doc_count": 1,
"distinct_brand": {
"value": 1
}
},
{
"key_as_string": "2016-08-01T00:00:00.000Z",
"key": 1470009600000,
"doc_count": 1,
"distinct_brand": {
"value": 1
}
},
{
"key_as_string": "2016-09-01T00:00:00.000Z",
"key": 1472688000000,
"doc_count": 0,
"distinct_brand": {
"value": 0
}
},
{
"key_as_string": "2016-10-01T00:00:00.000Z",
"key": 1475280000000,
"doc_count": 1,
"distinct_brand": {
"value": 1
}
},
{
"key_as_string": "2016-11-01T00:00:00.000Z",
"key": 1477958400000,
"doc_count": 2,
"distinct_brand": {
"value": 1
}
},
{
"key_as_string": "2016-12-01T00:00:00.000Z",
"key": 1480550400000,
"doc_count": 0,
"distinct_brand": {
"value": 0
}
},
{
"key_as_string": "2017-01-01T00:00:00.000Z",
"key": 1483228800000,
"doc_count": 1,
"distinct_brand": {
"value": 1
}
},
{
"key_as_string": "2017-02-01T00:00:00.000Z",
"key": 1485907200000,
"doc_count": 1,
"distinct_brand": {
"value": 1
}
}
]
}
}
}
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