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