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.
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.
Is there a way to get the date and time that an elastic search document was written?
I am running es queries via spark and would prefer NOT to look through all documents that I have already processed. Instead I would like read the only documents that were ingested between the last time the program ran and now.
What is the best most efficient way to do this?
I have looked at;
updating to add a field with an array with booleans for if its been looked at by which analytic. The negative is waiting for the update to occur.
index per time frame method, which would be to break down the current indexes into smaller ones so by hour.The negative I see is the number of open file descriptors.
??
Elasticsearch version 5.6
I posted the question on the elasticsearch discussion board and it appears using the ingest pipeline is the best option.
I am running es queries via spark and would prefer NOT to look through
all documents that I have already processed. Instead I would like read
the only documents that were ingested between the last time the
program ran and now.
A workaround could be :
While inserting data using Logstash to Elasticsearch, Logstash appends a #timestamp key to the document which represents the time (in UTC) at which the document is created or we can use an ingest pipline
After that we can query based on the timestamp.
For more on this please have a look at :
Mapping changes
There is no way to ask ES to insert a timestamp at index time
Elasticsearch doesn't have such functionality.
You need manually save with each document date. In this case you will be able to search by date range.
I work on several log files that I process with logstash. I divide them into several documents (multiline) and then I extract the information I want.
The problem is that I find myself in the end with several documents where I have nothing interesting and that takes me up space.
Do you know a way to delete documents where there is no information extract by logstash ?
Thank you very much for your help !
In lower versions of ElasticSearch, when creating indexes you can specify a ttl field that indicates the expiry of a document in the index. You could set the ttl to a value of say 24 hours. Read more here
However ttl has been deprecated as of version 2.0 since its a clumsy way of removing stale data, personally, i create rolling indexes with logstash and have a cron job that simply drops the daily index at eod via curl.
Also refer to this article from ES
https://www.elastic.co/guide/en/elasticsearch/guide/current/retiring-data.html
I'm having some issues getting elasticsearch to interpret an epoch millis timestamp field. I have some old bro logs I want to ingest and have them be in the proper orders and spacing. Thanks to Logstash filter to convert "$epoch.$microsec" to "$epoch_millis"
I've been able to convert the field holding the bro timestamp to the proper length of digits. I've also inserted a mapping into elasticsearch for that field, and it says that the type is "Date" with the format being the default. However, when I go and look at the entries it still has a little "t" next to it instead of a little clock. And hence I can't use it for my filter view reference in kibana.
Anyone have any thoughts or have dealt with this before? Unfortunately it's a stand alone system so I would have to manually enter any of the configs I'm using.
I did try and convert my field "ts" back to an integer after using the method described in the link above. So It should be a logstash integer before hitting the elasticsearch mapping.
So I ended up just deleting all my mappings in Kibana, and elasticsearch. I then resubmitted and this time it worked. Must have been some old junk in there that was messing me up. But now it's working great!