Real-Time Synchronizing Data from MySQL to Alibaba Cloud Elasticsearch with DTS

This tutorial demonstrates how to set up a real-time synchronization task, ensuring your Elasticsearch cluster is always up-to-date with the latest data from your MySQL database.

Introduction

In today's data-driven world, the ability to search, analyze, and visualize data in real time is invaluable. Alibaba Cloud's Elasticsearch offers a powerful tool for these tasks, especially when combined with Data Transmission Service (DTS) for real-time data synchronization from MySQL. This tutorial demonstrates how to set up a real-time synchronization task, ensuring your Elasticsearch cluster is always up-to-date with the latest data from your MySQL database.

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Prerequisites

1）An ApsaraDB RDS for MySQL instance and an Alibaba Cloud Elasticsearch cluster created in the same VPC.

2）MySQL V5.7 and Elasticsearch V6.7 clusters are used for this example.

3）Ensure the Auto Indexing feature is enabled on your Elasticsearch cluster.

Step-by-Step Guide

Step 1: Prepare Your Environment

First, set up your ApsaraDB RDS for MySQL instance and Elasticsearch cluster. Ensure they are in the same region to facilitate smooth connectivity and synchronization. Below is an example of creating a table in your MySQL database and inserting some data into it:

-- Create table
CREATE TABLE `es_test` (
    `id` bigint(32) NOT NULL,
    `name` varchar(32) NULL,
    `age` bigint(32) NULL,
    `hobby` varchar(32) NULL,
    PRIMARY KEY (`id`)
) ENGINE=InnoDB DEFAULT CHARACTER SET=utf8;

-- Insert data
INSERT INTO `es_test` (`id`,`name`,`age`,`hobby`) VALUES 
(1,'user1',22,'music'),
(2,'user2',23,'sport'),
(3,'user3',43,'game'),
(4,'user4',24,'run'),
(5,'user5',42,'basketball');

Step 2: Configure Your Data Synchronization Task

Navigate to the DTS console, and create a new data synchronization task. The task should specify the source (your MySQL database) and destination (your Alibaba Cloud Elasticsearch cluster) along with what data to synchronize and how:

Source Database: MySQL, accessed via an Alibaba Cloud Instance in the same region as your Elasticsearch cluster.
Destination Database: Elasticsearch, also accessed as an Alibaba Cloud Instance.

Ensure incremental data synchronization is selected alongside the full data synchronization to maintain real-time data updates.
For an effective real-time data synchronization, follow the detailed steps as described in the Alibaba Cloud DTS documentation.

Step 3: Verify the Data Synchronization

After setting up the synchronization task, it's essential to verify if the data is accurately reflected in your Elasticsearch cluster. Use Kibana or the Dev Tools in the Elasticsearch console for verification:

GET /es_test/_search
{
  "query": {
    "match_all": {}
  }
}

This command retrieves all documents in the es_test index, reflecting the synchronized data from your MySQL database.

Conclusion

Synchronizing data from MySQL to Alibaba Cloud Elasticsearch in real time with DTS significantly enhances your ability to search, analyze, and visualize your data efficiently. This setup not only streamlines data flow but also leverages the robust features of Elasticsearch for real-time data insights.

Ready to start your journey with Elasticsearch on Alibaba Cloud? Explore our tailored Cloud solutions and services to take the first step towards transforming your data into a visual masterpiece.

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Real-Time Synchronizing Data from MySQL to Alibaba Cloud Elasticsearch with DTS

Introduction

Prerequisites

Step-by-Step Guide

Step 1: Prepare Your Environment

Step 2: Configure Your Data Synchronization Task

Step 3: Verify the Data Synchronization

Conclusion

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