i have a Elasticsearch cluster for storing logz, and my current timezone is+06, but Elasticsearch work in UTC +0, so how can i change the timezone in Elasticsearch cluster?
ES stores date-times in (UTC) and there's no cluster-/index-wide setting to change that.
With that being said, the time_zone parameter in available in both (range) queries and aggregations.
Also, as you index your date fields, there are (date)time formats that do support time zones. You can also use the date processor pipeline to append a certain time zone if your fields don't include one already.
Related
Is there a way to update #timestamp in logstash so that microseconds are added?
In Kibana we've set the format to 'Date Nanos', but in logstash when we're using the date filter plug in to set #timestamp with the timestamp from the file, the microseconds seem to be ignored.
I think this is because the date filter plugin handles millisecond level accuracy, is this right? If so, what is the best way to set #timestamp to show the microseconds from the file being ingested?
Thanks
Sample from logstash file
date {
target => "#timestamp"
match => ["file_timestamp", "YYYY-MM-dd HH:mm:ss.SSSSSS"]
}
Format in Kibana
No, logstash only supports millisecond precision. When elasticsearch started supporting nanosecond precision no corresponding changes were made to logstash. There are two open issues on github requesting that changes be made, here and here.
The Logstash::Timestamp class only supports millisecond precision, because Joda, which it wraps, only supports milliseconds. Moving from Joda to native Java processing for time/date is mentioned in one of those issues. logstash expects [#timestamp] to be a Logstash::Timestamp (sprintf references assume this, for example)
You could use another field name, use a template to set the type to date_nanos in elasticsearch and process it as a string in logstash.
i have just started to deal with grafana and elastic. in the dokus i see things like #timestamp or #value again and again. Is that a variable that you set somewhere?
can this be used for any elasticsearch database? i connected elastic without metricbeats… and only get to the timestamp when i walk over an object. Means : object.timestamp
# is used in Logstash( part of Elastic stack) like #timestamp. #timestamp variable is set as default, but you can change that and some other fields can be used instead of timestamp( you need a field that can be used as time or date for your graph to work). For example, if you have a time variable, you can use it instead of #timestamp by just typing 'time' in the text box of your query.
I don't know much about Logstash, but since they are both part of Elastic stack. I assume # will be used in elastic database. Hope this helps a little bit.
I have a data log entry stored in elasticsearch, each with its own timestamp. I now have a dashboard that can get the aggregation by day / week using Date Histogram aggregation.
Now I want to get the data in chunk (data logs are written several time per transaction, spanning for up to several minutes) by analyzing the "cluster" of logs according to its timestamp to identify whether it's the same "transaction". Would that be possible for Elastic search to automatically analyze the meaningful bucket and aggregate the data accordingly?
Another approach I'm trying is to group the data by transaction ID - however there's a warning that to do this I need to enable fielddata which will use a significant amount of memory. Any suggestion?
I have net flow data that's DateTime is in local timezone (GMT+10). However when elastic search creates the index it assumes that the data is in UTC, therefore all my times are skewed. Just wondering if there is a way to say to elastic search that the data is in local and not UTC?
I am looking for a way to measure the time logstash takes to output data into elastic search.
- There is this elapsed filter
https://www.elastic.co/guide/en/logstash/current/plugins-filters-elapsed.html, which I think can be used to measure the time taken to process the message through all the configured filters but not to measure the time taken to output to elastic search
- I also tried with a batch file with something like
echo starttime = %time%
cd c:\Temp\POC\Mattias\logstash-2.0.0\logstash-2.0.0\bin
logstash agent -f first-pipeline.conf
echo endtime = %time%
The problem with this approach is logstash doesn’t stop/exit after finishing a given input file.
Any help is highly appreciated!
Thanks and regards,
Priya
The elapsed{} filter is for computing the difference between two events (start/stop pairs, etc).
Logstash sets #timestamp to the current time. If you don't replace it (via the date{} filter), it will represent the time that logstash received the document.
Elasticsearch had a feature called _timestamp that would set a field by that name to the time of the elasticsearch server. For some reason, they've deprecated that feature in version 2.
As of right now, there is no supported way to get the time that elasticsearch indexed the data, so there is no supported way to determine the lag between logstash and elasticsearch and the processing time required by elasticsearch.
I was hoping that you could add a date field in your mapping and use the null_value to default the value to 'now', but that's not supported. Hopefully, they'll support that and reinstate this very useful feature.