Logstash performance for indexing to ES

Elastic Stack Logstash
1

I'm trying to index docs to elasticsearch from logstash with kafka input. I see the indexing takes a long time and i am looking to index around 3 million documents as fast as possible. My logstash conf is -

   input {
 kafka {
        bootstrap_servers => "kafka2.dev:9092"
        topics => ["READY_FOR_INDEX","INDEX_CSV"]
        codec => json
        consumer_threads => 8

      }

  }

 output {
    stdout { codec => rubydebug }
    if [type] == "fact" or [type] == "dimension" {
        elasticsearch {
            index => "%{index}"
            document_id => "%{id}"
            hosts => "xyz.amazonaws.com:9200"

            flush_size=>100000
        }
}else {
        elasticsearch {
            index => "%{index}"
            document_id => "%{id}"
            hosts => "xyz.amazonaws.com:9200"
            flush_size=>100000
        }
  }
 }

My logstash is on aws machine with 32 gb RAM and 8 cores.

Right now just for 1000 documents it takes around 4 minutes. By that calculation it would take really long to index 3 million.
I was under the assumption that logstash did ES bulk indexing.
Please help.

2

Right now just for 1000 documents it takes around 4 minutes.

Four minutes for 1000 docs? That's ridiculously slow. Logstash itself shouldn't have any problems processing hundreds of events per second.

I was under the assumption that logstash did ES bulk indexing.

It does.

Have you measured what the bottleneck is? What event rate do you get with a kafka input and e.g. a file output? What event rate do you get against ES without using Logstash?

1 Like
3

I think kafka has the enable_metrics field set to true in logstash by default. But how do i see where the metrics are stored? I guess thats how i get how fast the events are processed.

Thanks

4

You should be able to use Logstash's HTTP API for that.

5

Does the thruput also depend on how fast we write to kafka?
Example if i write to kafka serially or parallely?

Thanks

6

Unless you have a backlog in Kafka the read rate can obviously not be greater than the write rate. A sufficiently high inflow of new events could also affect the read rate if the server is heavily loaded, but I don't really know enough about Kafka to say if it employs any countermeasures against that (like RabbitMQ's throttling of publishers when the consumers can't keep up).

7

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