what exactly is it now-1d/d or now/d in elastic search, Below is an example query
GET /_search
{
"query": {
"range" : {
"timestamp" : {
"gte" : "now-1d/d",
"lt" : "now/d"
}
}
}
}
it will take the current timestamp(time when your query reaches to Elasticsearch) and deduct the 1 day timestamp and bring the document in that range.
These types of queries are useful when you don't want to specify the exact time and want to get data of last 1 day, 3 day, 7 day, 1 month etc.
As mentioned in official doc of range query
now is always the current system time in UTC.
Taken example from official doc of datemath
Assuming now is 2001-01-01 12:00:00, some examples are:
now+1h now in milliseconds plus one hour. Resolves to: 2001-01-01
13:00:00
now-1h now in milliseconds minus one hour. Resolves to: 2001-01-01
11:00:00
now-1h/d now in milliseconds minus one hour, rounded down to UTC
00:00. Resolves to: 2001-01-01 00:00:00
2001.02.01||+1M/d 2001-02-01 in milliseconds plus one month. Resolves to: 2001-03-01 00:00:00
Related
So far i am working on the ES date histogram for getting monthly result, and my query is like
{
"aggs": {
"sales_over_time": {
"date_histogram": {
"field": "date",
"calendar_interval": "1M",
"offset": Cutoff
}
}
}
}
and the return is like
date
1 10978.521 2020-11-20 5995.69
2 11177.911 2020-12-20 199.39
3 11177.911 2021-01-20 0.00
So my question is :
what if the date "20" is not exist ? and any error handling from ES?
thanks
Jeff
Since it's a monthly date histogram, each bucket must have a date key. That date key is the date of the beginning of the monthly bucket. For instance, 2020-11-20 is the key and the starting date of the bucket starting on that date. In that bucket, you will find all documents whose date is between 2020-11-20 and 2020-12-20.
Same thing for the last bucket which starts on 2021-01-20, it will contain all documents starting on that date and going through 2021-02-20. It doesn't matter whether you have documents whose date field is specifically on those bucket key dates, those keys are just interval bounds.
For example consider the following elastic query:
GET /my_docs/_search
{
"query": {
"range": {
"doc_creation_date": {
"gte": "2007-07-18T10:15:13"
"lt": "now"
}
}
}
}
So my question is:
when elastic search replaces the word 'now' in the above query - with an actual date - does it just use the date of the server its currently running on or
what other option is going on there?
The reason i am asking this is because i live in a place where the timezone changes depending on the time of the year. So between around March - October, we are at utc
Thanks
now is resolved to the Unix timestamp of the server in milliseconds.
The Unix timestamp is an epoch date defined as the number of seconds that have elapsed since 00:00:00 Coordinated Universal Time (UTC), Thursday, 1 January 1970 [https://en.wikipedia.org/wiki/Unix_time]
This means that all queries will be run against the UTC time zone unless otherwise specified.
I have an Index in my elastic search which contains a date field "createdDate". Here, I need to get the count of documents with 1st date of last six months. i.e. I need to get the count of documents on 1st date for the period of last six months (e.g. count of 1st August, 1st July, 1st June, 1st May, 1st Apr, 1st May for september).
It would be a great help if someone looks into this and help.
Thanks..
Try date histogram aggregation.
{
"aggs" : {
"monthly_cont" : {
"date_histogram" : {
"field" : "createdDate",
"interval" : "month"
}
}
}
}
Refer document here
Is it possible to set a fixed timespan for a saved visualization or a saved search in Kibana 4?
Scenario:
I want to create one dashboard with 2 visualizations with different time spans.
A metric counting unique users within 10 min (last 10 minutes)
A metric counting todays unique users (from 00.00am until now)
Note that changing the time span on the dashboard does not affect the visualizations. Possible?
You could add a date range query to the saved search you base each visualisation on. Eg, if your timestamp field is called timestamp:
timestamp:[now-6M/M TO now]
where the time range is from 'now' to '6 months ago, rounding to the start of the month.
Because Kibana also now supports JSON-based query DSL, you could also achieve the same thing by entering this into the search box instead:
{
"range" : {
"timestamp" : {
"gte": "now-6M/M",
"lte": "now"
}
}
}
For more on date range queries see https://www.elastic.co/guide/en/elasticsearch/reference/current/query-dsl-range-query.html#ranges-on-dates
However changing the dashboard timescale will override this if it's a subset. So if you use the above 6 month range in the saved search, but a 3 month range in the dashboard, you'll filter to 3 months of data.
I'm aggregating documents that each have a timestamp. The timestamp is UTC, but the documents each also have a local time zone ("timezone": "America/Los_Angeles") that can be different across documents.
I'm trying to do a date_histogram aggregation based on local time, not UTC or a fixed time zone (e.g., using the option "time_zone": "America/Los_Angeles").
How can I convert the timezone for each document to its local time before the aggregation?
Here's the simple aggregation:
{
"aggs": {
"date": {
"date_histogram": {
"field": "created_timestamp",
"interval": "day"
}
}
}
}
I'm not sure if I fully understand it, but it seems like the time_zone property would be for that:
The zone value accepts either a numeric value for the hours offset, for example: "time_zone" : -2. It also accepts a format of hours and minutes, like "time_zone" : "-02:30". Another option is to provide a time zone accepted as one of the values listed here.
If you store another field that's the local time without timezone information it should work.
Take every timestamp you have (which is in UTC), convert it to a date in the local timezone (this will contain the timezone information). Now simply drop the timezone information from this datetime. Now you can perform actions on this new field.
Suppose you start with this time in UTC:
'2016-07-17T01:33:52.412Z'
Now, suppose you're in PDT you can convert it to:
'2016-07-16T18:33:52.412-07:00'
Now, hack off the end so you end up with:
'2016-07-16T18:33:52.412Z'
Now you can operate on this field.