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How to Synchronize 500 GB of MySQL Data to Doris in 40 Minutes

As data analysis becomes increasingly important in business decision-making, real-time data synchronization and analysis have become key to enhancing a company's competitiveness. MySQL, as a widely used relational database, has rich data storage but cannot meet the needs of large-scale data analysis and high-concurrency queries. Doris, as a distributed data warehouse designed specifically for big data analysis, has high performance and scalability, and its excellent data processing capabilities have also attracted widespread attention in the industry.

When is it necessary to synchronize MySQL to Doris?

  • Big Data Analysis Needs: When your business data volume continues to grow, the MySQL database can no longer meet the needs of large-scale data analysis and queries.
  • Real-time Data Warehouse Needs: If your business requires real-time data analysis and decision-making, MySQL may not provide enough performance and real-time capabilities. Doris, through its excellent real-time data synchronization and processing capabilities, allows you to obtain the latest business data in the shortest possible time.
  • Complex Multidimensional Analysis: When you need to perform complex multidimensional analysis, cross-dimensional queries, and complex aggregation operations, Doris's distributed architecture and optimized query engine can significantly improve query performance, thereby accelerating the decision-making process.
  • Data Storage Optimization: MySQL may face performance degradation and increased storage costs in big data scenarios. Doris's columnar storage and intelligent compression technologies can efficiently store large amounts of data and find a balance between storage costs and performance.

Drawbacks of Traditional Synchronization Methods

In the field of real-time data synchronization, traditional methods have some pain points.

  • Long Downtime: Traditional synchronization methods usually require business to be stopped during synchronization, and the downtime can be as long as several hours, which is a huge challenge for the business.
  • Low Reliability: It does not provide observation, diagnosis, and repair capabilities for the synchronization process. If the source end is making structural changes during the synchronization process, it is easy to cause synchronization exceptions.
  • Long Synchronization Time: Traditional ETL tools have a long and complex synchronization process, which cannot meet the high-frequency real-time synchronization requirements.
  • Difficult to Ensure Data Accuracy: It does not provide data consistency comparison capabilities, making it difficult to ensure the consistency of synchronized data.
  • Data Delay: Some solutions can easily lead to data delays in the case of large data volume and high concurrency.

What are the highlights of NineData's synchronization solution?

Our solution provides innovative solutions for the above problems, ensuring that you can efficiently and accurately synchronize MySQL data to Doris in real-time:

  • Outstanding Real-time Synchronization Performance: NineData uses advanced data synchronization technology to ensure that data is synchronized to Doris in real-time, greatly reducing data latency. The actual test shows that the transfer of 500 GB of data is completed in only 40 minutes, allowing your decisions to be based on the latest data.

  • Simple Configuration Operation: It provides an intuitive graphical interface, allowing you to easily configure synchronization tasks without writing complex code, reducing the operation threshold and the chance of errors.

  • Reliable Data Consistency: Through the accompanying data consistency comparison mechanism, you can easily find data inconsistencies that occur during the synchronization process, and it also provides a one-click repair function to provide a reliable guarantee for your business data.

  • Flexible Customization Options: Synchronization tasks can be flexibly customized according to business needs, choosing full synchronization or incremental synchronization to meet the data synchronization requirements of different scenarios.

  • Observable and Intervenable: NineData provides a powerful monitoring and alert system, notifying you of the status and problems of synchronization tasks in a timely manner, allowing you to respond quickly and resolve potential synchronization risks.

Step One: One-minute Quick Configuration of Synchronization Tasks

Through NineData's data replication console, you can easily complete the configuration of synchronization tasks from MySQL to Doris with just a few clicks of the mouse.

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Step Two: Manage Synchronization Tasks

You can monitor the various indicators of synchronization tasks in real-time, and you can also use the built-in data comparison function to automatically compare the data on both ends after synchronization to ensure data consistency.

NineData also supports replication throttling. If the replication task occupies too many read and write resources, you can limit the write rate to ensure the performance of online business.

  • View Task Details

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  • View Details of Each Replication Type

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  • View Data Comparison

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  • Configure Replication Throttling

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Step Three: Configure Task Alerts

By configuring task alerts, you can get real-time reminders in case of task exceptions, so that you can deal with them in time.

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Step Four: Modify Synchronization Objects

You can modify the synchronization objects of the task at any time, supporting the addition and reduction of operations.

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Synchronizing MySQL data to Doris in real-time is a key step in achieving efficient data analysis and business decision-making. NineData's innovative products provide you with excellent solutions to help you seize the initiative in the competitive market.