Question

在弹性搜索中，当我运行聚合查询时，它只在一个索引上运行它。如何让它在多个指标上运行？

Answer 1

作为一个例子，我通过批量索引一些数据创建了几个索引（隐式）：

POST /_bulk
{ "index": {"_index": "test_index", "_type":"doc"}}
{ "name": "Brown foxes"}
{ "index": {"_index": "test_index_2", "_type":"doc"}}
{ "name": "Yellow furballs" }
{ "index": {"_index": "test_index", "_type":"doc"}}
{ "name": "my discovery" }
{ "index": {"_index": "test_index_2", "_type":"doc"}}
{ "name": "myself is fun" }
{ "index": {"_index": "test_index", "_type":"doc"}}
{ "name": ["foxy", "foo"]    }
{ "index": {"_index": "test_index_2", "_type":"doc"}}
{ "name": ["foo bar", "baz"] }

然后我可以在两个索引上运行聚合：

POST /test_index,test_index_2/_search?search_type=count
{
    "aggs": {
        "name_terms": {
            "terms": {
                "field": "name"
            }
        }
    }
}

我从两者中取回所有条款：

{
   "took": 2,
   "timed_out": false,
   "_shards": {
      "total": 10,
      "successful": 10,
      "failed": 0
   },
   "hits": {
      "total": 6,
      "max_score": 0,
      "hits": []
   },
   "aggregations": {
      "name_terms": {
         "buckets": [
            {
               "key": "foo",
               "doc_count": 2
            },
            {
               "key": "bar",
               "doc_count": 1
            },
            {
               "key": "baz",
               "doc_count": 1
            },
            {
               "key": "brown",
               "doc_count": 1
            },
            {
               "key": "discovery",
               "doc_count": 1
            },
            {
               "key": "foxes",
               "doc_count": 1
            },
            {
               "key": "foxy",
               "doc_count": 1
            },
            {
               "key": "fun",
               "doc_count": 1
            },
            {
               "key": "furballs",
               "doc_count": 1
            },
            {
               "key": "is",
               "doc_count": 1
            }
         ]
      }
   }
}

以下是代码：

http://sense.qbox.io/gist/e053a0c6c5453eae68d7b7ff2ff12588669b046e

ElasticSearch聚合缺少数据

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