Understanding Apache Hudi's MERGE INTO Command with Minio and HiveMetaStore
Apache Hudi (Hadoop Upserts Deletes and Incrementals) is a data management framework that provides a way to handle large-scale data sets on Apache Hadoop-compatible file systems, such as Amazon S3. One of its powerful features is the ability to perform upserts and incremental data processing efficiently. In this blog post, we will explore the MERGE INTOcommand in Apache Hudi, which is particularly useful for Change Data Capture (CDC) scenarios.
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What is MERGE INTO?
The MERGE INTO command in Apache Hudi is used to merge data from a source table or view into a target Hudi table. This command allows you to handle different types of changes in the source data, such as inserts, updates, and deletes, and apply them to the target table. This is crucial for maintaining an up-to-date and accurate dataset, especially in scenarios where data is constantly changing.
When to Use MERGE INTO?
You should use the MERGE INTO command in the following scenarios:
Labs
Step 1: Spin up Stack
Docker compose file can be found on below links
Step 2: Start the Spark SQL Shell
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Creating the Target Hudi Table: First, we create a Hudi table named customer_target. This table will store customer information.
Create Mock Source Data
Performing the Initial Merge: We use the MERGE INTO command to merge the initial CDC data into the customer_target table.
New Data arriving
Performing the Merge with Updated CDC Data: We use the MERGE INTO command again to merge the updated CDC data into the customer_target table.
Verify
By following these steps, you can effectively use the MERGE INTO command in Apache Hudi to manage your datasets efficiently, ensuring that your target tables are always up-to-date with the latest changes from your source data.
Exercise Labs
Conclusion
In conclusion, Apache Hudi's MERGE INTO command is a powerful tool for handling CDC scenarios, making it easier to maintain accurate and up-to-date datasets in your data lake. Whether you are dealing with data warehousing, incremental data processing, or real-time analytics, MERGE INTO can help you achieve your goals efficiently.