在elastic search中使用json实现查询功能，与sql语言不同，理解起来要复杂一些，尤其是一些嵌套关系时。对于一些特殊查询要求，记录下来供方便使用。
一、去重查询并显示字段
假定字段为userUUID，userName和score，索引里面有大量重复的userUUID，每条记录都有一个分数（score），现在需要统计最高的几个分数，但需要不同的用户，同时把用户信息显示出来。直接上json代码。
{
"size": 0,
"aggs": {
"unique_users": {
"terms": {
"field": "userUUID.keyword",
"size": 10,
"order": {
"max_score": "desc"
}
},
"aggs": {
"max_score": {
"max": {
"field": "score"
}
},
"top_documents": {
"top_hits": {
"_source": {
"includes": ["userUUID", "userName"]
},
"size": 1
}
}
}
}
}
}可能的输出结果：
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 781,
"relation": "eq"
},
"max_score": null,
"hits": []
},
"aggregations": {
"unique_users": {
"doc_count_error_upper_bound": -1,
"sum_other_doc_count": 584,
"buckets": [
{
"key": "xxxxxxxxxxx",
"doc_count": 176,
"max_score": {
"value": "137731.0"
},
"top_documents": {
"hits": {
"total": {
"value": 176,
"relation": "eq"
},
"max_score": "1.0",
"hits": [
{
"_index": "xxx",
"_id": "xxxxxx",
"_score": "1.0",
"_source": {
"userUUID": "xxxxxxxxxxx"
}
}
]
}
}
},
{
"key": "xxxxxxxxxxxx",
"doc_count": 21,
"max_score": {
"value": "129747.0"
},
"top_documents": {
"hits": {
"total": {
"value": 21,
"relation": "eq"
},
"max_score": "1.0",
"hits": [
{
"_index": "xxx",
"_id": "xxxxxx",
"_score": "1.0",
"_source": {
"userUUID": "xxxxxxxxxxxxxxxx",
"userName": "玩家7160"
}
}
]
}
}
}
]
}
}
}二、带条件的聚合统计最高分数
其他一样，只是增加了查询条件。
{
"size": 0,
"aggs": {
"test": {
"filter": {
"range": {
"score": {
"gt": 12000
}
}
},
"aggs": {
"userUUID": {
"terms": {
"field": "userUUID.keyword",
"size": 10,
"order": {
"max_score": "desc"
}
},
"aggs": {
"max_score": {
"max": {
"field": "score"
}
},
"top_ddocuments": {
"top_hits": {
"size": 1,
"_source": {
"includes": [
"userUUID",
"userName",
"score"
]
}
}
}
}
}
}
}
}
}
三、按照id去重后，统计一定条件的总数
因为不需要返回具体数据，所以不考虑top_hits段，具体如下：
{
"query": {
"bool": {
"must": [
{
"range": {
"score": {
"gt": "132000"
}
}
}
]
}
},
"from": 0,
"size": 0,
"aggregations": {
"total_unique_count": {
"cardinality": {
"field": "userUUID.keyword"
}
}
}
}可能反馈结果如下：
{
"took": 3,
"timed_out": false,
"_shards": {
"total": 1,
"successful": 1,
"skipped": 0,
"failed": 0
},
"hits": {
"total": {
"value": 495,
"relation": "eq"
},
"max_score": null,
"hits": []
},
"aggregations": {
"total_unique_count": {
"value": 56
}
}
}下面是我的游戏示例，大家可以试试：
