Profile API
Profile API 用于定位查询过程中的异常耗时问题的。可以通过在 query 部分上方提供 “profile: true” 来启用Profile API。
GET /_search
{
"profile": true,
"query" : {
"match" : { "message" : "message number" }
}
}
profile接口返回信息如下：
{
"profile": {
"shards": [
{
"id": "[2aE02wS1R8q_QFnYu6vDVQ][twitter][1]",
"searches": [
{
"query": [...],
"rewrite_time": 51443,
"collector": [...]
}
],
"aggregations": [...]
}
]
}
}
返回包含分片id,搜索过程信息searches和聚合信息aggregations。
searches里还有另外三个元素:
- query
- rewrite_time
- collecotor
aggregations包含了聚合过程中具体执行信息。
元素含义
Query
"query": [
{
"type": "BooleanQuery",
"description": "message:message message:number",
"time": "1.873811000ms",
"breakdown": {
"score": 51306,
"score_count": 4,
"build_scorer": 2935582,
"build_scorer_count": 1,
"match": 0,
"match_count": 0,
"create_weight": 919297,
"create_weight_count": 1,
"next_doc": 53876,
"next_doc_count": 5,
"advance": 0,
"advance_count": 0
},
"children": [
{
"type": "TermQuery",
"description": "message:message",
"time": "0.3919430000ms",
"breakdown": {
"score": 28776,
"score_count": 4,
"build_scorer": 784451,
"build_scorer_count": 1,
"match": 0,
"match_count": 0,
"create_weight": 1669564,
"create_weight_count": 1,
"next_doc": 10111,
"next_doc_count": 5,
"advance": 0,
"advance_count": 0
}
},
{
"type": "TermQuery",
"description": "message:number",
"time": "0.2106820000ms",
"breakdown": {
"score": 4552,
"score_count": 4,
"build_scorer": 42602,
"build_scorer_count": 1,
"match": 0,
"match_count": 0,
"create_weight": 89323,
"create_weight_count": 1,
"next_doc": 2852,
"next_doc_count": 5,
"advance": 0,
"advance_count": 0
}
}
]
}
]
- type:显示的是哪种类型的查询被触发，常见的有BooleanQuery，TermQuery等
- time：执行该查询所用的时间
- breakdown：查询的更详细细节，主要与lucene参数有关
- chidren:具有多个关键字的查询被拆成相应术语的布尔查询
Rewrite Time
"rewrite_time": 51443
由于多个关键字会分解以创建个别查询，所以在这个过程中肯定会花费一些时间。将查询重写一个或多个组合查询的时间被称为“重写时间”。
Collectors
"collector": [
{
"name": "CancellableCollector",
"reason": "search_cancelled",
"time": "0.3043110000ms",
"children": [
{
"name": "SimpleTopScoreDocCollector",
"reason": "search_top_hits",
"time": "0.03227300000ms"
}
]
}
]
在Lucene中，收集器是负责收集原始结果，收集和组合结果，执行结果排序等的过程。
Kibana可视化profile分析
除了使用profile API外，使用kibana可视化profile界面更加直观。
界面分为query profile和Aggregation profile部分，并详细列出了请求过程的耗时和占比，更加直观，推荐使用！
