Simple Data Generator for Elasticsearch Indices

The purpose of this project is to ingest some sample data into Elasticsearch. If you have a model in mind, but aren't ready to build piplines in Logstash or deploy various Beats or write code to insert data into Elasticsearch, this project might help you.

It's multi-threaded so you can generate a fair amount of load. It's a refactor of ajpahl1008/sample-data-generator eliminating code for each new workload. It's completely YAML driven. Yay Yaml!!!

Note: This code should not be used as a benchmarking tool for your Elasticsearch instances. You should use a tool like Elastic's Rally (https://github.com/elastic/rally). This tool, is for just loading a bunch of random data (closer to what YOU are going to put in Production) so you can become familiar with the query DSL, or Kibana or Maps or Aggregations. OR!!! just demonstrate how effective your data analysis will be streaming to the Elastic stack.

Requirements

• Java OpenJDK
• Gradle

Setup

Step 1: (Optional,Not Optional) Create a Keystore.

This used to be optional but now that Security (TLS/Authentication) is in the Basic subscription (FREE) there's no reason to not be secure from the start. Granted, you can setup the Elastic Stack without security but why?

# ./build_keystore.bash <keystore_password> <elasticsearch_host> <elasticsearch_port>

Arguments:

• keystore_password: something you arbirarily set when you create they keystore for the first time.
• elasticsearch_host: exclude the http/https it's just the FQDN that resolves to your cluster.
• elasticsearch_port: whatever port you've specified for Elasticsearch. If you're on Elasticsearch Service (cloud.elastic.co) it's 9243.

Depending how you'll access Elasticsearch, you can run this a few times [changing the elasticsearch_host] to grab the TLS keys for ALL the Elasticsearch servers.

Step 2: Create A configuration YAML (yml) file.

There's a couple of examples in the example directory but here's the basic structure.

elasticsearchScheme: https
elasticsearchHost: someclusterid.cloud.elastic.co
elasticsearchPort: 9243
elasticsearchUser: elastic
elasticsearchPassword: somePassword
keystoreLocation: keystore.jks
keystorePassword: yourkeystorePassword
workloads:
  - workloadName: workload_1
    workloadThreads: 1
    workloadSleep: 1000
    indexName: index-1
    fields:
      - name: account_number
        type: int

      - name: state
        type: state

      - name: balance
        type: float
        range: 1,20000

Multiple Workload Structure

elasticsearchScheme: https
elasticsearchHost: someclusterid.cloud.elastic.co
elasticsearchPort: 9243
elasticsearchUser: elastic
elasticsearchPassword: somePassword
keystoreLocation: keystore.jks
keystorePassword: yourkeystorePassword
workloads:
  - workloadName: workload_1
    workloadThreads: 1
    workloadSleep: 1000
    indexName: index-1
    fields:
      - name: account_number
        type: int
   ...
   - workloadName: workload_2
    workloadThreads: 1
    workloadSleep: 1000
    indexName: index-2
    fields:
      - name: inventory_part_number
        type: int
   ...

Documentation on the different types: https://github.com/ajpahl1008/simple-data-generator/blob/master/docs/supported_fields.md

Step 3 Compile project

gradle clean; gradle build fatJar

Step 4 Run Project

java -jar build/libs/simple-data-generator-all-1.0-SNAPSHOT.jar your_yaml.yml
OR
complete the <NEED_THIS> tagged fields in the runme.bash script

Step 4.5 Running with Elastic Application Performance Monitoring (APM)

complete the <NEED_THIS> fields in the runme_apm.bash script
Simply, you need the URL for your APM server and the token provided by APM.

Additionally, there's a debug script runme_apm_debug.bash if things get confusing or not going smoothly.