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Elasticsearch Stress Test


This script generates a bunch of documents, and indexes as much as it can to Elasticsearch. While doing so, it prints out metrics to the screen to let you follow how your cluster is doing.

How to use

  • Save this script
  • Make sure you have Python 2.7+
  • pip install elasticsearch

How does it work

The script creates document templates based on your input. Say - 5 different documents. The documents are created without fields, for the purpose of having the same mapping when indexing to ES. After that, the script takes 10 random documents out of the template pool (with redraws) and populates them with random data.

After we have the pool of different documents, we select an index out of the pool, select documents * bulk size out of the pool, and index them.

The generation of documents is being processed before the run, so it will not overload the server too much during the benchmark.

Mandatory Parameters

Parameter Description
--es_address Address of the Elasticsearch cluster (no protocol and port). You can supply mutiple clusters here, but only one node in each cluster (preferably the client node)
--indices Number of indices to write to
--documents Number of template documents that hold the same mapping
--clients Number of threads that send bulks to ES
--seconds How long should the test run. Note: it might take a bit longer, as sending of all bulks whose creation has been initiated is allowed

Optional Parameters

Parameter Description Default
--number-of-shards How many shards per index 3
--number-of-replicas How many replicas per index 1
--bulk-size How many documents each bulk request should contain 1000
--max-fields-per-document What is the maximum number of fields each document template should hold 100
--max-size-per-field When populating the templates, what is the maximum length of the data each field would get 1000
--no-cleanup Boolean field. Don't delete the indices after completion False
--stats-frequency How frequent to show the statistics 30
--not-green Script doesn't wait for the cluster to be green False
--no-verify No verify SSL certificates False
--ca-file Path to Certificate file
--username HTTP authentication Username
--password HTTP authentication Password


Run the test for 2 Elasticsearch clusters, with 4 indices on each, 5 random documents, don't wait for the cluster to be green, open 5 different writing threads and run the script for 120 seconds

python  --es_address --indices 4 --documents 5 --seconds 120 --not-green --clients 5

Run the test on ES cluster, with 10 indices, 10 random documents with up to 10 fields in each, the size of each field on each document can be up to 50 chars, each index will have 1 shard and no replicas, the test will run from 1 client (thread) for 300 seconds, will print statistics every 15 seconds, will index in bulks of 5000 documents and will leave everything in Elasticsearch after the test

 python --es_address --indices 10 --documents 10 --clients 1 --seconds 300 --number-of-shards 1 --number-of-replicas 0 --bulk-size 5000 --max-fields-per-document 10 --max-size-per-field 50 --no-cleanup --stats-frequency 15

Run the test with SSL

 python --es_address --indices 5 --documents 5 --clients 1 --ca-file /path/ca.pem

Run the test with SSL without verify the certificate

 python --es_address --indices 5 --documents 5 --clients 1 --no-verify

Run the test with HTTP Authentification

 python --es_address --indices 5 --documents 5 --clients 1 --username elastic --password changeme


You are more then welcome! Please open a PR or issues here.