I've been playing around storing tweets inside mongodb, each object looks like this:
{ "_id" : ObjectId("4c02c58de500fe1be1000005"), "contributors" : null, "text" : "Hello world", "user" : { "following" : null, "followers_count" : 5, "utc_offset" : null, "location" : "", "profile_text_color" : "000000", "friends_count" : 11, "profile_link_color" : "0000ff", "verified" : false, "protected" : false, "url" : null, "contributors_enabled" : false, "created_at" : "Sun May 30 18:47:06 +0000 2010", "geo_enabled" : false, "profile_sidebar_border_color" : "87bc44", "statuses_count" : 13, "favourites_count" : 0, "description" : "", "notifications" : null, "profile_background_tile" : false, "lang" : "en", "id" : 149978111, "time_zone" : null, "profile_sidebar_fill_color" : "e0ff92" }, "geo" : null, "coordinates" : null, "in_reply_to_user_id" : 149183152, "place" : null, "created_at" : "Sun May 30 20:07:35 +0000 2010", "source" : "web", "in_reply_to_status_id" : { "floatApprox" : 15061797850 }, "truncated" : false, "favorited" : false, "id" : { "floatApprox" : 15061838001 }
How would I write a query which checks the created_at and finds all objects between 18:47 and 19:00? Do I need to update my documents so the dates are stored in a specific format?
Find() Method. In MongoDB, find() method is used to select documents in a collection and return a cursor to the selected documents.
$gte selects the documents where the value of the field is greater than or equal to (i.e. >= ) a specified value (e.g. value .) For most data types, comparison operators only perform comparisons on fields where the BSON type matches the query value's type.
Querying for a Date Range (Specific Month or Day) in the MongoDB Cookbook has a very good explanation on the matter, but below is something I tried out myself and it seems to work.
items.save({ name: "example", created_at: ISODate("2010-04-30T00:00:00.000Z") }) items.find({ created_at: { $gte: ISODate("2010-04-29T00:00:00.000Z"), $lt: ISODate("2010-05-01T00:00:00.000Z") } }) => { "_id" : ObjectId("4c0791e2b9ec877893f3363b"), "name" : "example", "created_at" : "Sun May 30 2010 00:00:00 GMT+0300 (EEST)" }
Based on my experiments you will need to serialize your dates into a format that MongoDB supports, because the following gave undesired search results.
items.save({ name: "example", created_at: "Sun May 30 18.49:00 +0000 2010" }) items.find({ created_at: { $gte:"Mon May 30 18:47:00 +0000 2015", $lt: "Sun May 30 20:40:36 +0000 2010" } }) => { "_id" : ObjectId("4c079123b9ec877893f33638"), "name" : "example", "created_at" : "Sun May 30 18.49:00 +0000 2010" }
In the second example no results were expected, but there was still one gotten. This is because a basic string comparison is done.
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