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Скачать или смотреть How to Delete Multiple Records in DynamoDB Using a Global Secondary Index (GSI) with Partition Key

  • vlogize
  • 2025-04-04
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How to Delete Multiple Records in DynamoDB Using a Global Secondary Index (GSI) with Partition Key
Dynamo DB delete multiple records using Global Secondary Index(GSI) with _id (Partition key)amazon dynamodb
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Описание к видео How to Delete Multiple Records in DynamoDB Using a Global Secondary Index (GSI) with Partition Key

Learn why you cannot delete multiple records in DynamoDB directly through GSI and discover the proper approach for managing deletions effectively.
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This video is based on the question https://stackoverflow.com/q/73087474/ asked by the user 'Devi' ( https://stackoverflow.com/u/12605786/ ) and on the answer https://stackoverflow.com/a/73087984/ provided by the user 'hunterhacker' ( https://stackoverflow.com/u/538697/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

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Deleting Multiple Records in DynamoDB Using Global Secondary Index (GSI)

When working with Amazon DynamoDB, developers often face the challenge of deleting multiple records efficiently. In particular, the question arises: Can I delete multiple records using a Global Secondary Index (GSI) with _id (Partition key) instead of querying them first and deleting them one by one? In this article, we’ll explore the limitations of using GSIs for deletions and present a clear pathway to manage the deletion of records effectively in DynamoDB.

Understanding Global Secondary Index (GSI)

A Global Secondary Index (GSI) is a vital feature in DynamoDB that allows you to query data efficiently with an alternative partition key and sort key. This functionality can enhance read performance by enabling different query patterns, but it comes with some limitations, particularly concerning operations such as deletes.

Why You Can't Delete Multiple Records Using GSI Directly

There are two primary reasons why you cannot delete multiple records directly through a GSI in DynamoDB:

Modifications on GSIs are Not Allowed:

You cannot modify GSIs directly. This means that you cannot perform delete operations on the GSI itself. Instead, all modifications must occur on the base table where the actual data resides.

Query Constraint Limitations:

You are unable to perform a delete operation using a query constraint, even when querying the base table. The only way to delete items is to have their primary keys (Partition Key and optionally Sort Key) available. This means that to delete multiple records, you first need to know the primary keys of each record individually.

Recommended Approach for Deleting Multiple Records

Given the limitations outlined above, here’s a more structured approach for effectively deleting multiple records from a DynamoDB table:

Step 1: Query the Base Table

Gather Keys: Use your GSI to query the base table and collect the primary keys of the records you want to delete. This step ensures you have all the identifiers needed before proceeding to delete any items.

Step 2: Create a Batch Write Request

Batch Operations: Utilize the DynamoDB BatchWriteItem API to delete multiple records in one request. This is an efficient method that allows you to delete up to 25 items at a time, leveraging a single API call.

Sample Structure:

[[See Video to Reveal this Text or Code Snippet]]

Step 3: Handle Remaining Deletions

If you have more than 25 items to delete, repeat the BatchWriteItem operation until all desired records are deleted. Be mindful of the throughput limits of your DynamoDB table to avoid throttling issues.

Conclusion

While deleting multiple records from a DynamoDB table using a Global Secondary Index (GSI) may not be possible directly, you can still achieve your goal effectively by following a structured approach. Always remember that you need to query the base table to retrieve the primary keys, and then use batch write operations to perform your deletions in an efficient manner. By understanding the limitations of GSIs and utilizing the right methods, you can manage your database records more effectively.

If you have any questions or need further clarification on working with DynamoDB, feel free to reach out in the comments below!

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