mongodb find 上的性能非常慢 [英] Very slow performance on mongodb find
问题描述
我是 nodejs 和 mongodb 的新手.为了测试它,我从#oscars 中捕获了 2.500.000 条推文.现在我正在处理数据,但发现像下面这样的查询非常慢......(最多 40 秒)(我直接在控制台上进行查询)
I'm new with nodejs and mongodb. To test it out I captured 2.500.000 tweets from the #oscars. Now i'm playing a bit with the data, but find queries like the one below are extremely slow... (up to 40 seconds) (I'm doing the queries directly on console)
db.oscars.find({user.screen_name: "monxas"})
我做错了吗?有没有办法加快这个查询?
Am I doing something wrong? Is there anyway to speed up this queries?
推文具有这种结构,如果有帮助的话:
tweets have this structure, if that helps:
{
"_id" : ObjectId("54ea1f0f5fbae7a02067024b"),
"created_at" : "Sun Feb 22 18:25:20 +0000 2015",
"id" : 5.6956360590721434E+17,
"id_str" : "569563605907214338",
"text" : "#Oscars2015 Who will win tonight? All hopes are on you guys.",
"source" : "<a href=\"http://twitter.com/#!/download/ipad\" rel=\"nofollow\">Twitter for iPad</a>",
"truncated" : false,
"in_reply_to_status_id" : null,
"in_reply_to_status_id_str" : null,
"in_reply_to_user_id" : null,
"in_reply_to_user_id_str" : null,
"in_reply_to_screen_name" : null,
"user" : {
"id" : 2596742425.0,
"id_str" : "2596742425",
"name" : "jclivesforever26",
"screen_name" : "jacuasay092600",
"location" : "",
"url" : null,
"description" : "Da Bulls!!! Ed Sheeran is life!!!",
"protected" : false,
"verified" : false,
"followers_count" : 21,
"friends_count" : 183,
"listed_count" : 0,
"favourites_count" : 78,
"statuses_count" : 283,
"created_at" : "Mon Jun 30 18:13:13 +0000 2014",
"utc_offset" : null,
"time_zone" : null,
"geo_enabled" : true,
"lang" : "en",
"contributors_enabled" : false,
"is_translator" : false,
"profile_background_color" : "C0DEED",
"profile_background_image_url" : "http://abs.twimg.com/images/themes/theme1/bg.png",
"profile_background_image_url_https" : "https://abs.twimg.com/images/themes/theme1/bg.png",
"profile_background_tile" : false,
"profile_link_color" : "0084B4",
"profile_sidebar_border_color" : "C0DEED",
"profile_sidebar_fill_color" : "DDEEF6",
"profile_text_color" : "333333",
"profile_use_background_image" : true,
"profile_image_url" : "http://pbs.twimg.com/profile_images/542805253952135168/Ttwm541P_normal.jpeg",
"profile_image_url_https" : "https://pbs.twimg.com/profile_images/542805253952135168/Ttwm541P_normal.jpeg",
"profile_banner_url" : "https://pbs.twimg.com/profile_banners/2596742425/1421468064",
"default_profile" : true,
"default_profile_image" : false,
"following" : null,
"follow_request_sent" : null,
"notifications" : null
},
"geo" : null,
"coordinates" : null,
"place" : null,
"contributors" : null,
"retweet_count" : 0,
"favorite_count" : 0,
"entities" : {
"hashtags" : [{
"text" : "Oscars2015",
"indices" : [0, 11]
}],
"trends" : [],
"urls" : [],
"user_mentions" : [],
"symbols" : []
},
"favorited" : false,
"retweeted" : false,
"possibly_sensitive" : false,
"filter_level" : "low",
"lang" : "en",
"timestamp_ms" : "1424629520285"
}
推荐答案
使用 explain
游标方法以了解有关查询计划的更多信息
Use the explain
cursor method to find out more about the query plan
db.oscars.find({user.screen_name: "monxas"}).explain();
如果没有定义索引,那么您可以在 user.screen_name
上添加一个索引以使用 ensureIndex
如下
If there are no indexes defined then you can add one on user.screen_name
to speed up the query using ensureIndex
as follows
db.oscars.ensureIndex({"user.screen_name": 1});
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