Sha*_*ler 3 nosql elasticsearch
我对Elasticsearch很新.我正在尝试编写一个将按字段分组并计算总和的查询.在SQL中,我的查询看起来像这样:
SELECT lane, SUM(routes) FROM lanes GROUP BY lane
我在ES中看到这样的数据:
{
"_index": "kpi",
"_type": "mroutes_by_lane",
"_id": "TUeWFEhnS9q1Ukb2QdZABg",
"_score": 1.0,
"_source": {
"warehouse_id": 107,
"date": "2013-04-08",
"lane": "M05",
"routes": 4047
}
},
{
"_index": "kpi",
"_type": "mroutes_by_lane",
"_id": "owVmGW9GT562_2Alfru2DA",
"_score": 1.0,
"_source": {
"warehouse_id": 107,
"date": "2013-04-08",
"lane": "M03",
"routes": 4065
}
},
{
"_index": "kpi",
"_type": "mroutes_by_lane",
"_id": "JY9xNDxqSsajw76oMC2gxA",
"_score": 1.0,
"_source": {
"warehouse_id": 107,
"date": "2013-04-08",
"lane": "M05",
"routes": 3056
}
},
{
"_index": "kpi",
"_type": "mroutes_by_lane",
"_id": "owVmGW9GT345_2Alfru2DB",
"_score": 1.0,
"_source": {
"warehouse_id": 107,
"date": "2013-04-08",
"lane": "M03",
"routes": 5675
}
},
...
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我想在ES中运行与在SQL中相同的查询,这样我的结果就像(在json中): M05: 7103, M03: 9740
在elasticsearch中,您可以使用术语stats facet来实现此目的:
{
"query" : {
"match_all" : { }
},
"facets" : {
"lane_routes_stats" : {
"terms_stats" : {
"key_field" : "lane",
"value_field" : "routes",
"order": "term"
}
}
}
}
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