我刚打酱油去了，不好意思

ES查询排序性能问题，使用From Size和Search After差距巨大

Elasticsearch | 作者 MarvinLiu | 发布于2021年09月06日 | 阅读数：3501
分享到：QQ空间新浪微博微信QQ好友印象笔记有道云笔记
几亿条数据，做match all查询，按照时间和id排序，使用From Size方式查询秒回，使用Search after方式查询，耗时十几二十秒，通过profile查看，时间耗在了next_doc： "searches":[
{
"query":[
{
"type":"BoostQuery",
"description":"(ConstantScore(DocValuesFieldExistsQuery [field=__time__]))^0.0",
"time_in_nanos":45722536283,
"breakdown":{
"set_min_competitive_score_count":0,
"match_count":0,
"shallow_advance_count":0,
"set_min_competitive_score":0,
"next_doc":45722241414,
"match":0,
"next_doc_count":410919487,
"score_count":0,
"compute_max_score_count":0,
2021-09-06 添加评论

没有找到相关结果

    已邀请:

    yuechen323 - 晨儿哥

    赞同来自: MarvinLiu

    你是不是有自定义排序, query 发来看看
    2021-09-06 1 0
    分享

    MarvinLiu

    赞同来自:

    使用的time和key进行排序，其中key是复制的_id，类型为keyword

    
{
    
    "query":{
    
        "bool":{
    
            "filter":[
    
                {
    
                    "query_string":{
    
                        "query":"*"
    
                    }
    
                },
    
                {
    
                    "range":{
    
                        "__time__":{
    
                            "gte":1324958207,
    
                            "lte":1724958207
    
                        }
    
                    }
    
                }
    
            ]
    
        }
    
    },
    
    "size":10,
    
    "sort":[
    
        {
    
            "__time__":{
    
                "order":"desc"
    
            }
    
        },
    
        {
    
            "__key__":{
    
                "order":"desc"
    
            }
    
        }
    
    ],
    
    "search_after":[
    
        1630594662000,
    
        "6130e666-2-67e9e3-f5-1"
    
    ],
    
    "profile":true
    
}
    2021-09-06 0 0
    分享

    MarvinLiu

    赞同来自:

    profile的结果：
    {
    
    "searches":[
    
        {
    
            "query":[
    
                {
    
                    "type":"BoostQuery",
    
                    "description":"(ConstantScore(DocValuesFieldExistsQuery [field=__time__]))^0.0",
    
                    "time_in_nanos":45722536283,
    
                    "breakdown":{
    
                        "set_min_competitive_score_count":0,
    
                        "match_count":0,
    
                        "shallow_advance_count":0,
    
                        "set_min_competitive_score":0,
    
                        "next_doc":45722241414,
    
                        "match":0,
    
                        "next_doc_count":410919487,
    
                        "score_count":0,
    
                        "compute_max_score_count":0,
    
                        "compute_max_score":0,
    
                        "advance":19517,
    
                        "advance_count":39,
    
                        "score":0,
    
                        "build_scorer_count":78,
    
                        "create_weight":14271,
    
                        "shallow_advance":0,
    
                        "create_weight_count":1,
    
                        "build_scorer":261081
    
                    },
    
                    "children":[
    
                        {
    
                            "type":"DocValuesFieldExistsQuery",
    
                            "description":"DocValuesFieldExistsQuery [field=__time__]",
    
                            "time_in_nanos":16571715415,
    
                            "breakdown":{
    
                                "set_min_competitive_score_count":0,
    
                                "match_count":0,
    
                                "shallow_advance_count":0,
    
                                "set_min_competitive_score":0,
    
                                "next_doc":16571493898,
    
                                "match":0,
    
                                "next_doc_count":410919487,
    
                                "score_count":0,
    
                                "compute_max_score_count":0,
    
                                "compute_max_score":0,
    
                                "advance":15074,
    
                                "advance_count":39,
    
                                "score":0,
    
                                "build_scorer_count":78,
    
                                "create_weight":517,
    
                                "shallow_advance":0,
    
                                "create_weight_count":1,
    
                                "build_scorer":205926
    
                            }
    
                        }
    
                    ]
    
                }
    
            ],
    
            "rewrite_time":116538,
    
            "collector":[
    
                {
    
                    "name":"PagingFieldCollector",
    
                    "reason":"search_top_hits",
    
                    "time_in_nanos":30851166561
    
                }
    
            ]
    
        }
    
    ],
    
    "aggregations":[
    

    
    ]
    
}
    @yuechen323 感谢
    2021-09-06 0 2
    分享

    wanghaiyu1997 - 95后

    赞同来自:

    from和size是浅分页 如果数据量很大 页数很多会变慢 建议了解下深分页
    2021-09-08 0 0
    分享
    为什么被折叠? 0 个回复被折叠

    要回复问题请先登录或注册

    Copyright © 2024 · CC BY-NC-SA 3.0

    本站服务器及带宽由 提供赞助