MongoDB 4.4: Compare particular date with an interval of other date - mongodb

Basically what I want to do is to compare that the difference between 2 date is less than 1 year, i.e. scheduled_end < scheduled_start + 1 year
I'm trying to use the following expression, but it does not seem valid:
scheduled_end: {
$lt: {
$add: [scheduled_start, 365*24*60*60000 ]
}
}
How to fix it?
I'm using MongoDB 4.4, so $dateAdd is not available in this version.

Related

Converting StringDate to a queryable representation. Group and project sum of today,yesterday, week, month

I was about to try to figure out how to complete the given question.
It might consists of 2 parts, first one being - my collection dates are stored in plain string with a mysql format (YYYY-mm-dd HH:mm:ss), the second how to project the (today, yesterday, 7 day, month - summaries).
I have been experimenting around and this is what I came up with.
Pipe 1.
$match - nothing fancy there just a simple field = value.
Pipe 2.
$addField - trying to process the string date as a ISO date I believe? I am not sure
{
expired: {
$dateFromString: {
dateString: '$expired',
timezone: 'America/New_York'
}
}
}
Pipe 3.
$match - Quoted out wanted to select only a specific range so not more than 30 days - doesn't work
expired: {
$gt: ISODate(new Date(new Date(ISODate().getTime() - 1000*60*60*24*30)))
}
Pipe 4.
$group - Here I group and sum everything per day. So an output is
_id: 2021-09-27, theVal : 100
{
_id: {
$dateToString: {
date: { $toDate: "$expired" },
format: "%Y-%m-%d" }
},
theVal : {$sum:{$first:"$values.quantity"}} // as $values is an array [0].quantity,[1].quantity,[2].quantity - I am just interested in the first element.
}
Pipe 5.
$project - getting rid of the _id field - making it date name field, keeping theVal.
{
"date": "$_id",
"theVal": 1,
"_id": 0
}
theVal is a sum of integers within a day.
Questions
Between Pipe 1 and 2 ( temporary 3 ) I should be able to match dates
within the last 30 days to reduce the processing?
How to get a desired output like this:
{
today : 100,
yesterday : 10,
7days : 220,
month: 1000,
}
Really appreciate any help here.
Tried to "replicate" what you intend to do as you didn't provided sample test data.
You may want to do the followings in an aggregation pipeline:
$match : filter out the ids you want - same as your pipe 1
$dateFromString: use "format": "%Y-%m-%d %H:%M:%S", "timezone": "America/New_York"
$match : filter out records that are within 30 days with $expr and $$NOW
$group : group by date without time; achieved by converting to dateString with date part only
$addFields : project flags that determine if the record are within today, ``yesterday, 7days, month`
$group : As you didn't provided what is the meaning of today, ``yesterday, 7days, month, I made an assumption that they are the cumulative sum in the ranges. Simply and conditional $sum` will do the summation with the help of flags in step 5
Here is a Mongo playground for your reference.

Looking for function similar to "BETWEEN" in MongoDB

I need to get all records from MongoDB collection "employee" where joining_date is between current_date and current_date + 5 days. I couldn't find anything similar to BETWEEN operator in MongoDB documentation. Below query works fine in Google BigQuery. Looking for similar solution in MongoDB.
select * from employee where joining_date BETWEEN current_date() and DATE_ADD(current_date(), interval 5 DAY);
The $gt and $lt Comparison Query Operators can be used to find matches within a range of dates. Here's one approach.
db.employee.find({
"joining_date": {
$gt: new Date(),
$lt: new Date(new Date().setDate(new Date().getDate() + 5))
}
})

elasticsearch filter dates based on datetime fields

assuming I have the following nested document structure, where my document contains nested routes with an array of date time values.
{
property_1: ...,
routes: [
{
start_id: 1,
end_id: 2,
execution_times: ['2016-08-28T11:11:47+02:00', ...]
}
]
}
Now I could filter my documents that match certain execution_times with something like this.
query: {
filtered: {
query: {
match_all: { }
},
filter: {
nested: {
path: 'routes',
filter: {
bool: {
must: [
{
terms: {
'routes.execution_times': ['2016-08-28T11:11:47+02:00', ...]
}
},
...
]
}
}
}
}
}
}
But what if I would like to filter my documents based on execution dates. What's the best way achieving this?
Should I use a range filter to map my dates to time ranges?
Or is it better to use a script query and do a conversion of the execution_times to dates there?
Or is the best way to change the document structure to contain both, the execution_date and execution_time?
Update
"The dates are not a range but individual dates like [today, day after tomorrow, 4 days from now, 10 days from now]"
Well, this is still a range as a day means 24 hours. So if you store your field as date time, you can use leverage range query : from 20-Nov-2010 00:00:00 TO 20-Nov-2010 23:59:59 with appropriate time zone for a specific day.
If you store it as a String then you will lose all the flexibility of date maths and you would be able to do only exact String matches. You will then have to do all the date manipulations at the client side to find exact matches and ranges.
I suggest play with range queries using Sense plugin and I am sure it will satisfy almost all your requirements.
-----------------------
You should make sure that you use appropriate date-time mapping for your field and use range filter over that field. You don't need to split into 2 separate fields. Date maths will allow you to query just based on date.
This will make your life much easier if you want to do aggregations over date time field.
Reference:
Date Maths:
https://www.elastic.co/guide/en/elasticsearch/reference/current/common-options.html#date-math
Date Mapping : https://www.elastic.co/guide/en/elasticsearch/reference/current/date.html
Date Range Queries:
https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-range-query.html

get mongodb records created in a specific month

I'm trying to get a specific range of documents, based on when they were created. What I'm trying to do is something like:
/getclaims/2015-01
/getclaims/2015-02
...
that way a user can browse through all records based on the selected month.
In my database I'm not storing a created_at date, but I know mongodb stores this in the objectid.
I found that I can get records like this:
db.claims.find({
$where: function () { return Date.now() - this._id.getTimestamp() < (365 * 24 * 60 * 60 * 1000) }
})
of course that doesn't filter based on a specific month, but only within a certain time limit.
What would be a possible way of limited a query based on a specific month, using the Timestamp from the objectid's?
I'm using mongoose, but it's probably a good idea to start in mongo shell itself.
Based on the function borrowed from the answer to this question - https://stackoverflow.com/a/8753670/131809
function objectIdWithTimestamp(timestamp) {
// Convert date object to hex seconds since Unix epoch
var hexSeconds = Math.floor(timestamp/1000).toString(16);
// Create an ObjectId with that hex timestamp
return ObjectId(hexSeconds + "0000000000000000");
}
Create a start and an end date for the month you're looking for:
var start = objectIdWithTimestamp(new Date(2015, 01, 01));
var end = objectIdWithTimestamp(new Date(2015, 01, 31));
Then, run the query with $gte and $lt:
db.claims.find({_id: {$gte: start, $lt: end}});

MongoDb Date query without using range?

if i want to find a document created on a specific Day, until now i used a range
from the first minute of the day, to the last minute of the day in seconds , sth like :
query":{"dtCreated":{"$gte":{"sec":1381356782,"usec":0},"$lt":{"sec":1389356782,"usec":0}}}
is is possible to to somehow find all documents where only the Day, Month and year equals "dtCreated" ?
in pseudocode like :
query:{"dtCreated":ISODate("2014-01-23")} <- i know that may not be a valid iso date
but what i want is to find all documents for one day without using lt and gt ?
Sry for bad english and for any hints thanks in advance!
You can do it with the aggregation framework using the date aggregation operators.
Assuming dtCreated is an ISODate field, you could try something like this:
query = [
{
'$project': {
'year': {'$year':'$dtCreated'},
'month': {'$month':'$dtCreated'},
'day':{'$dayOfMonth':'$dtCreated'}
}
},
{
'$match' : {'year':'2014', 'month':'1', day:'1'}
}
]
db.mycollection.aggregate(query)
Edit: as orid rightly remarks, though this is an answer to your question (query for date without using date range), it's not a good way to solve your problem. I would probably do it this way: a range greater than or equal to today, but less than tomorrow
db.foo.find({'dtCreated':{'$gte':ISODate("2014-01-23"), '$lt':ISODate("2014-01-24")}})