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			Co-authored-by: hyperswitch-bot[bot] <148525504+hyperswitch-bot[bot]@users.noreply.github.com> Co-authored-by: ivor-juspay <138492857+ivor-juspay@users.noreply.github.com>
		
			
				
	
	
		
			118 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
			
		
		
	
	
			118 lines
		
	
	
		
			3.3 KiB
		
	
	
	
		
			Markdown
		
	
	
	
	
	
| # Running Kafka & Clickhouse with Analytics and Events Source Configuration
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| 
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| This document provides instructions on how to run Kafka and Clickhouse using Docker Compose, and how to configure the analytics and events source.
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| 
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| ## Architecture
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|      +------------------------+
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|      |       Hyperswitch      |
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|      +------------------------+
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|                 |
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|                 |
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|                 v
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|      +------------------------+
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|      |         Kafka          |
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|      |  (Event Stream Broker) |
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|      +------------------------+
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|                 |
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|                 |
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|                 v
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|      +------------------------+
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|      |  ClickHouse            |
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|      |  +------------------+  |
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|      |  | Kafka Engine     |  |
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|      |  |    Table         |  |
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|      |  +------------------+  |
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|      |            |           |
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|      |            v           |
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|      |  +------------------+  |
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|      |  | Materialized     |  |
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|      |  |    View (MV)     |  |
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|      |  +------------------+  |
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|      |            |           |
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|      |            v           |
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|      |  +------------------+  |
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|      |  | Storage Table    |  |
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|      |  +------------------+  |
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|      +------------------------+
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| 
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| 
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| ## Starting the Containers
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| 
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| Docker Compose can be used to start all the components.
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| 
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| Run the following command:
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| 
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| ```bash
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| docker compose --profile olap up -d
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| ```
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| This will spawn up the following services
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| 1. kafka
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| 2. clickhouse
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| 3. opensearch
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| 
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| ## Setting up Kafka
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| 
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| Kafka-UI is a visual tool for inspecting Kafka and it can be accessed at `localhost:8090` to view topics, partitions, consumers & generated events.
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| 
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| ## Setting up Clickhouse
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| 
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| Once Clickhouse is up and running, you can interact with it via web.
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| 
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| You can either visit the URL (`http://localhost:8123/play`) where the Clickhouse server is running to get a playground, or you can bash into the Clickhouse container and execute commands manually.
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| 
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| Run the following commands:
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| 
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| ```bash
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| # On your local terminal
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| docker compose exec clickhouse-server bash
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| 
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| # Inside the clickhouse-server container shell
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| clickhouse-client --user default
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| 
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| # Inside the clickhouse-client shell
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| SHOW TABLES;
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| ```
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| 
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| ## Configuring Analytics and Events Source
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| 
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| To use Clickhouse and Kafka, you need to enable the `analytics.source` and update the `events.source` in the configuration file.
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| 
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| You can do this in either the `config/development.toml` or `config/docker_compose.toml` file.
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| 
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| Here's an example of how to do this:
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| 
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| ```toml
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| [analytics]
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| source = "clickhouse"
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| 
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| [events]
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| source = "kafka"
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| ```
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| 
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| After making this change, save the file and restart your application for the changes to take effect.
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| 
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| ## Enabling Data Features in Dashboard
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| 
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| To check the data features in the dashboard, you need to enable them in the `config/dashboard.toml` configuration file.
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| 
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| Here's an example of how to do this:
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| 
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| ```toml
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| [default.features]
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| audit_trail=true
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| system_metrics=true
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| global_search=true
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| ```
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| 
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| ## Viewing the data on OpenSearch Dashboard
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| 
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| To view the data on the OpenSearch dashboard perform the following steps:
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| 
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| - Go to the OpenSearch Dashboard home and click on `Stack Management` under the Management tab
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| - Select `Index Patterns`
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| - Click on `Create index pattern`
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| - Define an index pattern with the same name that matches your indices and click on `Next Step`
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| - Select a time field that will be used for time-based queries
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| - Save the index pattern
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| 
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| Now, head on to the `Discover` tab, to select the newly created index pattern and query the data |