es - elasticsearch - aggs - pipeline - stats

世界上并没有完美的程序，但是我们并不因此而沮丧，因为写程序就是一个不断追求完美的过程。

• stats_bucket
• • 作用
  • 配置项
  • 使用
  • • 索引
    • 统计

• bucket的常规聚合统计

• buckets_path
  • bucket路径，必填
• gap_policy
  • 间隙策略，默认skip
• format
  • 返回值格式，默认null

DELETE /stats_bucket_test

PUT /stats_bucket_test
{
  "mappings" : {
    "properties" : {
      "type" : {"type" : "integer"},
      "num"  : {"type" : "integer"},
      "date" : {"type" : "date"}
    }
  }
}

POST /stats_bucket_test/_bulk
{"index" : {"_id" : 1}}
{"type" : 1, "num" : 40, "date" : "2001-01-10"}
{"index" : {"_id" : 2}}
{"type" : 2, "num" : 45, "date" : "2001-01-20"}
{"index" : {"_id" : 3}}
{"type" : 1, "num" : 58, "date" : "2001-02-10"}
{"index" : {"_id" : 4}}
{"type" : 2, "num" : 99, "date" : "2001-03-20"}
{"index" : {"_id" : 5}}
{"type" : 1, "num" : 66, "date" : "2001-04-21"}
{"index" : {"_id" : 6}}
{"type" : 1, "num" : 68, "date" : "2001-05-21"}

GET /stats_bucket_test/_search
{
  "size" : 0,
  "aggs" : {
    "month_aggs" : {
      "date_histogram": {
        "field" : "date",
        "calendar_interval" : "month"
      },
      "aggs" : {
        "sum_aggs" : {
          "sum": {
            "field": "num"
          }
        }
      }
    },
    "stats_bucket_aggs" : {
      "stats_bucket": {
        "buckets_path": "month_aggs>sum_aggs"
      }
    }
  }
}

• 返回结果

{
  "took" : 14,
  "timed_out" : false,
  "_shards" : {
    "total" : 1,
    "successful" : 1,
    "skipped" : 0,
    "failed" : 0
  },
  "hits" : {
    "total" : {
      "value" : 6,
      "relation" : "eq"
    },
    "max_score" : null,
    "hits" : [ ]
  },
  "aggregations" : {
    "month_aggs" : {
      "buckets" : [
        {
          "key_as_string" : "2001-01-01T00:00:00.000Z",
          "key" : 978307200000,
          "doc_count" : 2,
          "sum_aggs" : {
            "value" : 85.0
          }
        },
        {
          "key_as_string" : "2001-02-01T00:00:00.000Z",
          "key" : 980985600000,
          "doc_count" : 1,
          "sum_aggs" : {
            "value" : 58.0
          }
        },
        {
          "key_as_string" : "2001-03-01T00:00:00.000Z",
          "key" : 983404800000,
          "doc_count" : 1,
          "sum_aggs" : {
            "value" : 99.0
          }
        },
        {
          "key_as_string" : "2001-04-01T00:00:00.000Z",
          "key" : 986083200000,
          "doc_count" : 1,
          "sum_aggs" : {
            "value" : 66.0
          }
        },
        {
          "key_as_string" : "2001-05-01T00:00:00.000Z",
          "key" : 988675200000,
          "doc_count" : 1,
          "sum_aggs" : {
            "value" : 68.0
          }
        }
      ]
    },
    "stats_bucket_aggs" : {
      "count" : 5,
      "min" : 58.0,
      "max" : 99.0,
      "avg" : 75.2,
      "sum" : 376.0
    }
  }
}