I try to feed a csv data file to logstash using filebeat. Unfortunately the messages are out of order. Is there any way to correct this?
Could this caused by TCP or any pipeline? Logstash started logstash.javapipeline / pipeline_id=>"main", "pipeline.workers"=>8
I tried:
filebeat - output to console - pass
filebeat - output to logstash (localhost) - logstash w/o filter; output to stdout - fail (wrong order of messages)
Per default order is not guaranteed in Logstash as the events in the batch can be reordered in the filter processing and some events can be processed faster than others.
If you need to order your events you will have to change the number of pipeline.workers to 1, which means that only 1 CPU will be used to process your messages.
Also, set pipeline.ordered to auto in logstash.yml.
Setting pipeline.workers to 1 will make logstash process the events in the orders they are received, but since it will use only 1 CPU, it can impact the performance if you have a high rate of events per second.
This is the part of the documentation about ordering events.
Related
I want to monitor Logstash event size per minute from a particular event source.
I am collecting events from multiple application and want to track how much data each application is sending to Logstash in bytes.
I am able to count number of events per application but now stuck with size/volume metric.
Is there any way we can achieve this in Logstash
I have ELK installed, and all works fine. I have one index that always receives logs from Logstash.
Sometimes, Logstash stops working (every second month or so), and nothing comes to the index.
I was wondering is there a way to query the index (some interval), if it does not have any entries to produce some kind of event, which I will handle.
For example, query that index every 10 mins, and if there are no logs, then create an event.
I assume you are looking for ELK's internal tools. There is the Elasticsearch Xpack plugin that gives watchers and notifications. But if that's not a requirement, you can write a nodeJS server that querys the last 5 minutes or so, and you can write the exact notification you need.
I hope I could help.
I'm using logstash 2.4 with kafka input 5.1.6. In my config I created a field called input_lag in order to monitor how much time it takes logstash to process logs:
ruby {
code => "event['lag_seconds'] = (Time.now.to_f - event['#timestamp'].to_f)"
}
I listen to several kafka topics from a single logstash instance and for the topics that produce logs regularly everything is OK and the lag is small (several seconds). However, for the topics that produce small amount of logs irregularly I get really big lags. Sometimes it's tens of thousands of seconds.
My configuration for Kafka input is following:
input {
kafka {
bootstrap_servers => "kafka-broker1:6667,kafka-broker2:6667,kafka-broker3:6667"
add_field => { "environment" => "my_env" }
topics_pattern => "a|lot|of|topics|like|60|of|them"
decorate_events => true
group_id => "mygroup1"
codec => json
consumer_threads => 10
auto_offset_reset => "latest"
auto_commit_interval_ms => "5000"
}
}
The logstash instance seems healthy, as logs from other topics are being retrieved regularly. I've checked and if I connect to Kafka using its console consumer the delayed logs are there. I've also thought that it might be a problem with too many topics being served by a single logstash instance and extracted those small topics to separate logstash instances but the lag is exactly the same, so it's not the issue.
Any ideas? I suspect that logstash might be using some exponential delay for log retrieval, but have no idea how to confirm and fix that.
Still lack some information:
Kafaka client version?
What's the content of #timestamp?
What's the order of filter? Is ruby last one?
the delayed logs are there -- 'there' means in Kafaka?
Timestamp
If we didn't use date filter to change this field, #timestamp should be the time at which the log entry was read.
In this case, the lag ups to seconds, so I guess the date filter is used and timestamp here is the time when log generated.
Wait Before Fetch
When use Kafka input plugin to consume message, it will wait some time before server respond. This can be configured by two options:
fetch_max_wait_ms
poll_timeout_ms
You many check them in config file.
Wait Before Filter
Logstash handles input log in batch to improve performance, so if not enough logs comes, it will wait some time.
pipeline.batch.delay
You may check it in logstash.yml.
Metric
Logstash itself has the metric information generate, combined with Elasticseach and Kibana, can be very handy to use. So I suggest you to have a try.
Ref
Kafka Input
Logstash Config
ELK Monitoring
I am using logstash 5.4.2 Persistence Queue. Where I have config file to get input throw JDBC and do some transformations and storing output to mongo db. But when I run this in logstash it inserts only few records let us say 6000 where as the actual output should be 300000 records. And main pipeline gets shutdown. When I see the page file in data folder has more number of records. How to flush the data into output without pipeline before or after shutdown. My logstash persistence queue setting as follows.
pipeline.workers: 2
pipeline.output.workers: 1
pipeline.batch.size: 50
pipeline.batch.delay: 5
pipeline.unsafe_shutdown: false
config.test_and_exit: false
config.reload.automatic: false
queue.type: persisted
queue.page_capacity: 1gb
queue.max_events: 0
queue.max_bytes: 4gb
queue.checkpoint.acks: 1024
queue.checkpoint.writes: 1024
queue.checkpoint.interval: 1000
Is there any way to flush all data from persistence queue to output during main pipeline shutdown or anyway of workaround to handle this issue?
Thanks in Advance!
Your queue.checkpoint.writes is set to 1024, which is a default. You need to set it to 1, to guarantee maximum durability for input events, i.e.
queue.checkpoint.writes: 1
Please remember that this involves heavy disk writing which will impact performance severely.
Logstash is running.
How long takes it from adding a single line to a log file until Logstash recognize the new line and start to transform and output it.
With a simple BASH script I measure from 99 msec up to 800 msec including a transformation. It's clear that the latency depends on the Logstash transformation, HD, OS and the CPU. But how recognize Logstash the file change? Is there an internal timer? Pulls logstash from file?
Logstash's file input polls the files being watched at the interval set in the stat_interval parameter, which currently (Logstash 1.5) defaults to 1, i.e. every second.
In other words, assuming that
Logstash isn't behind on the reading any of the log files monitored by a particular file input and
the Logstash process isn't CPU-starved (it usually runs at priority 19 so heavy CPU usage by other processes could cause scheduling delays),
new events will on average get picked up within 500 ms and in the worst case within 1000 ms.