AutoMQ integrates with Databend, enabling cloud-native scalability and Kafka compatibility for efficient big data analytics. Learn how to ingest data from AutoMQ to Databend.
Databend is a next-generation cloud-native data warehouse developed in Rust. It is specifically designed for cloud architecture. Built on object storage, it offers businesses integration with data lakes and warehouses while providing a big data analytics platform that separates compute from storage.This document will guide you on how to import data from AutoMQ into Databend using bend-ingest-kafka.
Refer to Deploy Multi-Nodes Cluster on Linux▸ to set up AutoMQ, making sure there’s network connectivity between AutoMQ and Databend.Quickly create a topic named example_topic in AutoMQ and write test JSON data into it by following these steps.
Use Apache Kafka command-line tools to create a topic. Ensure you have access to the Kafka environment and that the Kafka service is running. Below is an example command for creating a topic:
Use Kafka’s command-line tools or programming methods to write test data into a topic named example_topic. Here is an example using command-line tools:
bend-ingest-kafka is designed to monitor Kafka and batch write data into a Databend Table. After deploying bend-ingest-kafka, the data import job can be initiated.
Navigate to the Databend Cloud worksheet and query the automq_db.users table. You should confirm that the data has been successfully synchronized from AutoMQ to the Databend Table.
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